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Amazon AWS Training

Online Instructor-led (3 days)

Classroom (3 days)

Online Self-paced (24 hours)

Architecting on AWS Course Outline

This comprehensive Architecting on AWS - Associate Certification covers the basics of building and designing an IT infrastructure on AWS. This course will teach solution architects how to create and optimize the different AWS cloud features and help understand the AWS services and how they interact and fit into a cloud-based platform and solution. 

AWS Foundations

  • Core AWS Computing
  • Cloud Concepts
  • AWS Storage
  • Event-Driven Scaling
  • Amazon VPC
  • VPC Networking Fundamentals
  • Elastic Network Interface
  • VPC Peering
  • Routing Inside VPC
  • AWS CloudFormation
  • CloudFront
  • Identity and Asset Management (IAM)
  • Amazon Simple Queue Service (SQS)
  • Route 53

Designing AWS-based Systems

  • Core AWS Architectural Principles
  • EC2
  • DynamoDB
  • Fault Tolerance
    • Amazon SQS
    • Amazon S3
    • Amazon Simple DB
    • Amazon RDS
  • Cost Efficiency
  • Elastic Load Balancer

Implementation and Deployment

  • Scaling Applications
  • Direct Connect
  • Large Datastore Designs

Data Security

  • AWS Compliance
  • Secure AWS
  • Security Platform
  • Security, Identity, and Compliance Products
  • Cloud Deployment Models
  • Cloud Security Model
  • Shared Responsibility Model

Hands-On Lab

Lab 1 - Amazon Virtual Private Cloud (VPC)

  • Creating a VPC
  • Creating the Subnets, Route Tables, and Internet Gateway
  • Launching a Web-Server Instance into the Public Subnet
  • Launching an EC2 Instance into the Private Subnet as a Mock Database Server
  • Connecting to the Machines
  • Setting Up Network Address Translation Gateway

Lab 2 – Identity Access and Management

  • Creating a New User
  • Create Administrators Group
  • Adding Users to the Administrators Group
  • Creating Developers Group
  • Adding Users to the Developers Group
  • Creating a Role
  • Launching an EC2 Instance with a Role
  • Checking Role Permissions

Lab 3 – Route 53

  • Registering a Domain Name
  • Configuring Domain for Use with Route 53
  • Configure Domain Record Sets
  • Creating a Route 53 DNS Failover Server

Lab 4 – Amazon CloudFormation

  • Creating a Stack
  • Deleting a Stack

Lab 5 – Amazon CloudFront

  • Creating an Amazon S3 Bucket and Populating it with Files
  • Starting up a WordPress Instance
  • Configuring a Cloud Distribution

Exam Preparation

  • Practice Assignments
  • Live Lab Projects
  • Practice Labs
  • Familiarising yourself with the exam format

What will you learn?

  • Learn how to become an AWS cloud Architect. 
  • Understand how to build and deploy AWS cloud solutions.
  • Manage solutions on the AWS platform using specialist infrastructures.
  • Deep understanding of Identity access and management and Route 53
  • Learn about Amazon CloudFormation and Amazon CloudFront 
  • How to Launching and EC2 Instance with Role.
  • Gain experience of working in an AWS environment

Enquire Now to Get Free Advice from The Knowledge Academy AWS Cloud Instructors!

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Prerequisites

There are no formal prerequisites for this AWS Certification Training course, however, delegates will thrive if they possess prior knowledge of AWS and Cloud Computing.

Who should attend this AWS Training Course?

This course is designed for aspiring cloud architects that are preparing for the AWS Solutions Architect Associate Exam

This includes: 

  • Cloud Infrastructure Engineers
  • Cloud Solution Architects
  • Integration Architects
  • DevOps Engineer
  • Platform Engineer
  • Technical Lead
  • IT Operations/Architecture Lead

Next Level of certification 

Advanced Architecting on AWS - Professional Certification​ is the next level of certification after Architecting On AWS. 

Architecting on AWS Course Overview

The Knowledge Academy is Globally Recognised as the Industry Leader in training Cloud Architects. Our "Cloud Services Training Team” comprises of over 48 leading Cloud Computing Professionals who on average have more than 11 years of industry recognised Cloud-Based Solutions Experience. Our AWS instructors have developed a unique teaching style to help aspiring Cloud Engineers to master the art of successfully managing large Cloud-Based IT infrastructures. Our highly experienced Cloud Professionals are recognised in the industry to have the highest rated technical skills by employers. We Train and Develop highly competent Cloud Architects, Developers, Engineers, and most of them go on to work on large scale enterprise projects and command the highest salaries in the industry.    

Our interactive three-day AWS Certification Training course prepares you to become an efficient AWS Certified Solution Architect - Associate. Whilst learning how to develop and engage with AWS cloud computing, delegates will learn the constituents of AWS, in particular the rules of designing a scalable architecture and implementing an AWS cloud platform. Our AWS certification course will ensure that you are industry-ready and are able to implement structural alterations using the AWS management console.

This AWS Solutions Architect course consists of high-quality hands-on experience, in the form of professional practice assignments and interactive live projects. This training style ensures that individuals are fully prepared for the AWS exam. Learning how to develop custom VPCs with both public and private subnets, delegates taking our courses will learn how to use their acquired knowledge to configure autoscaling and RD Gateways on VPCs.

Designed to prepare engineers, administrators, and consultants for the AWS Solutions Architect Associate Certification Exam, this associate-level course will give you the best opportunity to develop your knowledge of the world’s most popular cloud platform. During this exam preparation course, individuals will learn how to create solution plans and learn the best practice framework that they should adhere to when adapting an AWS Architecture, including shifting existing applications to AWS and deciphering data transfers to the AWS.  

Enquire Now to Get Free Advice from The Knowledge Academy AWS Cloud Instructors!​

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What's included in this AWS Training Course?

We have everything you will need to successfully prepare for the Amazon Web Service Certification

  • Hands-on Labs
  • Lab Guides
  • White Papers

Book now to enhance and develop your knowledge of Architecting on AWS

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Online Instructor-led (3 days)

Classroom (3 days)

Online Self-paced (24 hours)

AWS SysOps Associate Certification Training Outline

This training course will explore the following topics:

Module 1: Introduction

  • Introducing AWS SysOps

Module 2: Monitorisation and Metrics

  • Cloud Monitoring Principles
  • Cloud Services
  • CloudWatch
  • EC2 Instances
  • Monitorisation Servers
  • Monitoring Troubleshooting, Security, and Expenses
  • Analysing Metrics

Module 3: Networking

  • Cloud Networking and Computing
  • Networking Cloud Notions
  • Generating and Managing Network
  • Network Security
  • Network Problems
  • Policy Labs 

Module 4: High Availability

  • Scaling Principles
  • Insight into Elastic Load Balancing
  • Insight into Auto Scaling
  • Route 53
  • Scaling Issues Solutions
  • RDS
  • Operating Bastion Hosts

Module 5: Data Management

  • AWS Storage and Archiving Concepts
  • EBS Volume Types
  • Back Ups
  • S3
  • Security and Solving Problems
  • Disaster Recovery
  • Storage Pricing

Module 6: Security

  • Identity Access Management (IAM)
  • Security of Accounts and Instances
  • Multifactor Authentication
  • IT Audits

Module 7: Analysis

  • AWS Analysis and Profitability
  • Cloud Tagging
  • Stopinator
  • Billing Alerts
  • Cost Explorer

Module 8: Deployment and Provisioning

  • Configuration Management
  • AWS Service Root Access
  • Configurations of Elastic Load Balancer
  • Automated and Repeatable Deployments

Exam Preparation

  • Practice Exercises
  • Live Projects
  • Practice Labs
  • Familiarising yourself with the exam format

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Who should attend this AWS Training Course?

This course is designed for anyone looking to enhance their knowledge of AWS SysOps.

Prerequisites

There are no formal prerequisites, thus this AWS SysOps Associate Certification Training is appropriate for beginners. Yet, a basic knowledge of developing software, administering/sustaining systems, and networking protocols may be of benefit.

AWS SysOps Associate Certification Training Overview

Our comprehensive and captivating AWS SysOps Associate Certification Training course explores the main components of the AWS platform. Designed for Systems Administrators, this course will provide delegates with an understanding of monitoring and metrics, whereby cloud service, CloudWatch, and metric analysis will be investigated. The principles of networking will also be a topic of interest, as network management, network security, and overcoming associated problems is covered.

As well as this, delegates will become familiar with EC2 instances, scaling, identity access management, and AWS analysis. Overall, candidates will learn how to produce network and system automation on AWS. This course is highly interactive and engaging, as it is delivered via instructor-led teaching and practical labs. This combination ensures that delegates can implement their acquired knowledge in a hands-on manner, to assess the extent of their new abilities.

AWS SysOps Associate is swiftly becoming a qualification in demand for IT professionals who use AWS within their job role, therefore attendance of this course can achieve the acceleration of job opportunities. Primarily, this training course will prepare delegates for the AWS SysOps Associate exam. By course completion, delegates will materialise as competent AWS Certified Sysops Administrators.

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What's included in this AWS Training Course?

  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor
  • Refreshments

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Online Instructor-led (3 days)

Classroom (3 days)

Online Self-paced (24 hours)

AWS Developer Associate Certification Training Course Outline

Module 1: Introduction

  • Introducing AWS Developer
  • Developing on AWS
  • Large Data Stores Design
  • Storage Solutions

Module 2: Identity Access Management

  • Overview of Identity Access Management (IAM)
  • Security Token Service

Module 3: Elastic Compute Cloud (EC2)

  • Introduction to EC2
  • EC2 Instances
  • Using PuTTy
  • Volume Types
  • AWS Command Line Interface (CLI)
  • Elastic Load Balancers
  • Amazon Lambda

Module 4: Simple Storage Service (S3)

  • The Fundamentals of S3
  • Creating with S3
  • Serverless Webpages
  • Managing Versions
  • Cross Region Replication
  • Management of Lifecycles
  • Cloud Front
  • Serving Public Content Using CloudFront
  • Access Logs
  • Invalidation
  • AWS Security

Module 5: The Fundamentals of Databases

  • DynamoDB
  • Amazon Relational Database Service (RDS)

Module 6: DynamoDB

  • Introducing DynamoDB
  • Tables
  • DynamoDB: Data Types
  • DynamoDB: Types of Indexing
  • Conditional Update and Concurrency Control
  • DynamoDB Security
  • NoSQL Databases
  • CAP Theorem
  • Consistency at Read Time
  • Pre-Provision Capacity
  • Data Model Concepts and Data Types
  • Choose Index Key
  • Local and Global Secondary Index

Module 7: Simple Services

  • Introducing Simple Queue Service (SQS)
  • Simple Notification Service (SNS)
  • AWS Simple WorkFlow (SWF)

Module 8: Final Concepts

  • AWS CloudFormation
  • Domain Name System (DNS)
  • Getting Started with Route 53
  • Latency Based Routing
  • Geographic Routing with Geo DNS
  • Weighted Resource Record Sets
  • Health Check
  • DNS Failover
  • Multivalue Answer Routing
  • Failover Routing
  • Amazon VPC
  • VPC Networking Fundamentals
  • Elastic Network Interface
  • VPC Peering
  • Routing Inside VPC
  • Exploring Auto Scaling
  • Auto Scaling Termination Policy
  • Customising Termination Policy
  • Scaling
  • Scaling Cooldown
  • Instance Termination Protection
  • Auto Scaling Lifecycle Hooks
  • Considerations when Using Lifecycle Hooks

Exam Preparation

  • Practice Assignments
  • Live Projects
  • Practice Labs
  • Familiarising yourself with the exam format

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Who should attend this AWS Training?

This training course is designed for anyone interested in hosting AWS cloud applications. Aspiring or existing Developers would benefit from this course.

Prerequisites

There are no formal prerequisites, hence this course is ideal for beginners. Experience of using AWS to code solutions may be useful.

AWS Developer Associate Certification Training Course Overview

Our detailed and engaging AWS Developer Associate Certification Training course will teach delegates how to develop and manage applications on the AWS platform. During this course, delegates will acquire an understanding of how to improve the security and capabilities of cloud applications. The most important tools and best practices will be explored, to ensure delegates emerge from this course as proficient AWS Developers, who can use the code for AWS interaction.

Primarily, this course ensures you are fully prepared for the AWS Developer Associate examination. Delegates will receive an extensive introduction to AWS Developer, identity access management, and EC2 instances. As well as this, delegates will explore S3, DynamoDB, Simple Queue Service, Service Notification Services, and Simple Workflow Service. To conclude the AWS Developer certification training, cloud formation, policy labs, and VPC (Virtual Private Cloud) will be covered.

The AWS Developer Associate Certification Training course is delivered via instructor-led teaching, accompanied by a series of interactive labs. These labs allow delegates to test the knowledge they have acquired throughout the course, and to implement their newly gained knowledge in a practical manner.

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What's included in this AWS Training Course?

  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor
  • Refreshments

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Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

AWS Advanced Architecture Certification Training Course Outline

This training course will explore the following topics:

Reassessment of Architecturing for Cloud Best Practices

  • Reassessment of Architecturing for Cloud
  • Design Principles
  • Cloud Concepts
  • Cloud Best Practices

AWS Well-Architected Framework

  • Introduction and Features
  • Build using a Structured Approach
  • Five Pillars of the Well-Architected Framework

AWS Account Techniques

  • AWS Organisations

Advanced Architectures of Networking

  • Amazon VPC
  • VPC Networking Fundamentals
  • Elastic Network Interface
  • VPC Peering
  • Routing Inside VPC
  • Advanced ELB
  • VPN

AWS Deployment Administration

  • DevOps Practices

Large Datastore Design

  • Amazon Elastic Block Store
  • Amazon Elastic File System
  • Amazon Glacier
  • AWS Storage Gateway
  • Data Transfer Services

Transporting Large Datastores

  • What is Cloud Data Migration?
  • Unmanaged Cloud Data Migration Tools
  • Managed Cloud Data Migration Tools

Architectures of Big Data

  • Introduction to Big Data
  • Elastic MapReduce (EMR)
  • Amazon Redshift
  • AWS Data Pipeline
  • Transporting Large Data Stores
  • AWS Storage Gateway
  • AWS Snowball
  • Advanced DynamoDB
  • DynamoDB Core Components
  • DynamoDB Supported Technologies
  • DynamoDB API Operations
  • Control Plane and Data Plane
  • DynamoDB Streams
  • Conditional Update and Concurrency Control
  • DynamoDB Security

Large Scale Applications

  • Scaling Applications
  • Types of AutoScaling
  • Scaling Servers

Constructing Resilience

  • Resiliency
  • High Resiliency for Critical Workloads
  • Maximum Resiliency for Critical Workloads
  • Non-Critical Production Workloads or Development Workloads
  • AWS Managed VPN Connections as a Backup for the Direct Connect

Cloud Security

  • Introduction and Benefits
  • Security Platform
  • Security, Identity, and Compliance Products

Data Encryption

  • Encrypting with KMS
  • Encrypting and Signing DynamoDB Data in Your Application

AWS Key Management

Protecting Data

  • Data Protection
  • Data Protection with S3
  • Ten Ways to Protect Data on AWS

Performance Design

Managing Deployment

  • Introduction
  • AWS Elastic BeanStalk
  • AWS CloudFormation
  • AWS OpsWorks
  • AWS CodeCommit
  • AWS CodePipeline
  • AWS CodeDeploy
  • Amazon EC2 Container Service

 

Exam Preparation

  • Practice Assignments
  • Live Projects
  • Practice Labs
  • Familiarising yourself with the exam format

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Prerequisites

There are no formal prerequisites for this training course, thus anyone can attend. However, introductory-level knowledge of Architecting On AWS - Associate Certification is recommened.

Who should attend this AWS Training Course?

This course is designed for aspiring cloud architects who are preparing for the AWS Advanced Architect Professional Exam.

This includes: 

  • Cloud Infrastructure Engineers
  • Cloud Solution Architects
  • Integration Architects
  • DevOps Engineer
  • Platform Engineer
  • Technical Lead
  • IT Operations/Architecture Lead

AWS Advanced Architecture Certification Training Course Overview

Our comprehensive AWS Advanced Architecture Certification Training course will build on introductory knowledge of architecting on AWS, whilst refreshing candidates’ understanding of vital components. Designed for those who have experience using the AWS platform to create applications, this training course will guide delegates through the intricate workings of AWS solutions. Therefore, delegates will become familiar with the best practices for the construction of secure and expandable applications.

During this course, delegates will be able to implement the AWS Well-Architected structure, acquire comprehension of networking-based architectures, deployment notions, and large datastores. Big data architectures, cloud security, and data encryption will also be notable areas of interest. Consequently, delegates will learn of methods they can use to protect their data and infrastructures, and overall strengthen solution performance.

As well as this, AWS Certification Training will thoroughly prepare delegates for the associated AWS Advanced Architecture exam, thus this course would be beneficial for anyone looking to be successful in such. The AWS Advanced Architecture Certification Training course is delivered via instructor-led teaching, accompanied by a series of interactive labs. These labs enable delegates to assess the knowledge they gain by applying this in practical terms, thus enhancing their understanding.

 

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What's included in this AWS Training Course?

  • The Knowledge Academy's AWS Training Course Manual
  • Experienced Instructor
  • Certificate

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

AWS Technical Essentials Training Course Outline 

Introducing AWS Technical

  • Define AWS
  • Understanding Regions and Availability Zones (AZ’s)
  • AWS Console

The History of AWS

Foundational Services of AWS

  • Virtual Private Cloud (VPC)
  • Elastic Compute Cloud (EC2)
  • Elastic Block Structure (EBS)
  • Amazon S3

AWS Security

  • AWS Security Credentials
  • Using Encryption in S3
  • Signing AWS API Requests
  • Using Multi-Factor Authentication (MFA) in AWS
  • Logging
  • EC2 Security and Networking
  • Security in VPC

Identity Access Management (IAM)

  • Define IAM
  • IAM Features
  • Identities

Databases of AWS

  • DynamoDB
  • Amazon Relational Database Service (RDS)

AWS Management Tools

  • CloudWatch
  • Elastic Load Balancing
  • Auto Scaling

 

Exam Preparation

  • Practice Assignments
  • Live Projects
  • Practice Labs
  • Familiarising yourself with the exam format

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Who should attend this AWS Training Course?

This AWS Technical Essentials course is designed for those interested in learning more about Amazon Web Services, and those wishing to recognise the technical advantages of AWS.

This course is well-suited for:

  • SysOps Administrators
  • Developers
  • Solution Architects

Prerequisites

There are no formal prerequisites, thus anyone can attend.

Recommendation

Individuals who are interested in learning more about AWS, AWS Business Essentials Training Course is recommended.  

AWS Technical Essentials Training Course Overview

Our AWS Technical Essentials training course gives delegates an insight into the functions, products, and solutions of AWS. This training course will enhance the delegate’s ability to make more coherent and relevant decisions relating to IT solutions within their own organisation, by recognising the capabilities of AWS. Essentially, this course will provide a detailed introduction into the main concepts of AWS, to enable delegates to utilise the services.

During this course, delegates will become familiar with key terminology and notions of AWS, in the context of the AWS platform. Foundational Services of AWS, including Elastic Load Balancing (EC2), Virtual Private Cloud (VPC), Simple Storage Service (S3), and Elastic Load Balancing (ELB) will be explored. Identity Access Management will be covered, as will database services such as DynamoDB.

Primarily, this AWS Technical Essentials training course will fully prepare delegates for the associated examination. This course is highly interactive and engaging, as it is delivered via instructor-led teaching and practical labs. This combination ensures that delegates are able to implement their acquired knowledge in a hands-on manner, to assess the extent of their new abilities.

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What's included in this AWS Training Course?

  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor
  • Refreshments

Show moredown

Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

AWS Business Essentials Course Outline

This AWS training course will explore the following topics:

Introducing the AWS Cloud

  • Introduction to Cloud Computing
  • Cloud Computing Advantages
  • Cloud Computing Models
  • Cloud Deployment Models
  • AWS Regions and Availability Zones

Utilising AWS to Achieve Benefits

  • AWS Benefits

Defining Cloud Strategy

Security and Conformity

  • Security
  • Conformity

Cloud Finances

  • Define Cloud Finances
  • Cloud Finance Segments
    • Banking and Payments
    • Capital Markets
    • Insurance

Cloud Migration - Next Steps

  • Drives for Cloud Migration
  • The Migration Process
  • Application Migration Strategies
  • AWS Migration Tools and Services
  • After the Migration – Next Steps

 

Exam Preparation

  • Practice Assignments
  • Live Projects
  • Familiarising yourself with the exam format

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Who should attend this AWS Training Course?

This training course is designed for anyone interested in enhancing their understanding of AWS Business Essentials. Thus, AWS beginners and anyone who works within IT may benefit from this course. 

Prerequisites 

There are no formal prerequisites, so anyone can attend. However, a basic knowledge of IT security, IT infrastructure, and finance may be useful. 

Recommendation

Individuals who are interested in learning more about AWS, AWS Technical Essentials Training Course is recommended.  

AWS Business Essentials Course Overview

Our AWS Business Essentials training course provides delegates with a detailed comprehension of the advantages of cloud computing. They will become familiar with how they can achieve organisational goals by adopting cloud strategy. During this training course, delegates will learn about how their business could advance as a result of cloud computing. Therefore, the main capabilities of AWS, security, compliance, and economic concepts will be investigated throughout.

Principally, this training course will thoroughly prepare delegates for the AWS Business Essentials examination. This course is highly interactive and engaging, as it is delivered via instructor-led teaching. This ensures that delegates are able to implement their acquired knowledge in a hands-on manner, to assess the extent of their new abilities and further embed their understanding.

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What's included in this AWS Training Course?

  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor
  • Refreshments

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Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

AWS DevOps Certification Training Outline 

This AWS DevOps Certification Training course will cover the following areas:

  • An Introduction to AWS DevOps
  • Defining DevOps
  • Code Infrastructures
  • AWS Command Line Interface (CLI)
  • DevSecOps Overview
  • Strategies for Deployment
  • Tools for Developing
  • AWS Automated Testing
  • Cloud Continuous Assimilation
  • AWS Continuous Delivery
  • AWS Applications Deployment
  • Deployment Performance-Tuning
  • Infrastructure Administration and Automation
  • Configuration Management
  • Constructing AMI
  • EC2 Systems Manager

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Who should attend this AWS Training Course?

This training course is designed for anyone looking to enhance their knowledge of AWS DevOps concepts. System Administrators and System Developers, in particular, would benefit from this course.

Prerequisites

There are no prerequisites for this AWS training course, yet an understanding of systems operations, developing using AWS, programming languages, and Linux/Windows systems may be beneficial. Some experience using AWS CLI and AWS Management Console may also be useful.

AWS DevOps Certification Training Overview

Our captivating and extensive AWS DevOps Certification Training course will provide delegates with the skills needed to implement and maintain applications using AWS. Delegates will receive a detailed definition of what AWS DevOps is, and will become familiar with its most significant mechanisms and principles.

AWS DevOps Certification Training will cover how to use CloudFormation, OpsWorks, CodeBuild, and CodePipeline, to name a few, so delegates can utilise the functions of AWS effectively.

This course is delivered via instructor-led teaching, which is supported by practical labs for delegates to participate in. This allows delegates to apply their newly acquired knowledge within a hands-on scenario, which will further advance and embed their understanding of key AWS DevOps concepts.

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What's included in this AWS Training Course?

  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor
  • Refreshments

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Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

AWS Big Data Certification Outline

Our AWS Big Data Certification Training will cover the following modules over 2 days:

Module 1 

  • An Introduction to Big Data
  • The Ingestion, Transmission, and Compression of Big Data
  • Data Streaming
  • Kinesis
  • Data Storage Solutions
  • Using DynamoDB to Store and Query Data
  • Big Data Processing
  • Operating Athena
  • Utilising Elastic MapReduce

Module 2

  • Apache Hadoop and EMR
  • Hadoop Structures for Programming
  • Employing EMR
  • Server Logs with Hive
  • Consolidating EMR with HUE
  • Function of Pig Scripts in Hue
  • Spark on EMR
  • Constructing and Querying Tables
  • Costs and Deployments

Module 3

  • Big Data with Redshift
  • Visualising Big Data
  • Operating TIBCO Spotfire
  • Big Data Design Sequences
  • Data Warehouses
  • Redshift Environment Optimisation

Exam Preparation

  • Practice Exercises
  • Live Projects
  • Practice Labs
  • Familiarising yourself with the exam format

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Who should attend this AWS Training Course?

This AWS course is intended for those who create and implement Big Data solutions. Therefore, those within the following positions may be interested in this certification training:

  • Solutions Architects
  • Data Analysts
  • SysOps Administrators
  • Data Scientists

Prerequisites

There are no formal prerequisites, however delegates may benefit if they possess familiarity or experience of Big Data technologies, AWS capabilities, cloud application, warehousing, and database composition/systems.

AWS Big Data Certification Overview

Our comprehensive and engaging two-day AWS Big Data training course will guide delegates through the essentials of AWS Big Data. EMR (Elastic MapReduce), DynamoDB, Athena, Redshift, and Kinesis are just some of the major components that will be explored during this course. As well as this, delegates will acquire an understanding of AWS accounts development, and the art of data processing using means such as Hue and Hive.

Delegates will emerge from this AWS certification training capable of producing Big Data environments and applications, and they will possess a detailed comprehension of best practices for the design and implementation of Big Data. This course will also provide an introduction to Apache Hadoop, the fundamentals of Amazon EMR cluster, and data storage solutions. Similarly, delegates will gain knowledge of cost management, how to use Spark on EMR, and the visualisation of Big Data.

This highly interactive and practical course enables delegates to assess the strength of their gained understanding, as they are given the opportunity to apply their knowledge via labs and exercises. The delegates will also engage in several demonstrations, where they will become familiar with how to interact with AWS elements using interfaces, desktop devices, and command lines.

Big Data is becoming an increasingly desired and intriguing technique, which reflects the advancement towards Big Data solutions. Likewise, Big Data ensures a more secure and profitable approach towards performing Big Data workloads in the cloud. Primarily, this training course will prepare delegates for the AWS Big Data examination.

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What's included in this AWS Training Course?

  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor
  • Refreshments

Show moredown

Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Data Warehousing Training on AWS Course Outline                           

Module 1: Get Started with Data AWS Warehousing

  • Introduction to Data Warehousing
  • Amazon Redshift Components and Resources
  • Benefits of AWS Redshift
  • OLAP VS OLTP

Module 2: Working with Cluster

  • Redshift Architecture
  • Creating a Cluster
  • Managing a Cluster
  • Cluster Modification and Performance

Module 3: Development Using Redshift

  • Redshift Architecture
  • Connecting to a Cluster
  • SQL Reference and Statements
  • Creating Table
  • Create View and Grant Command
  • Information Schema

Module 4: Table Design and Database Security

  • Table Design
  • Table Tuning
  • Database Security

Module 5: Loading and Unloading Data

  • Loading and Unloading Data
  • System Tables
  • System Query

Module 6: Workload Management and Visualise

  • Workload Management
  • WLMQ Behaviour
  • Run the Query
  • Visualise

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Prerequisites

There are no prerequisites for this course.

Audience

Anyone can take this course, who wants to learn about AWS Technologies.

Data Warehousing Training on AWS​ Course Overview

The data warehouse is used to extract data to make it simpler, faster and efficient for processing queries from different data sources. AWS Redshift is a fully managed, reliable, high-speed data warehousing product. Built on the massive parallel processing, Redshift is a cost-effective and simple way to analyse data.

In this course, delegates will learn about Data Warehousing on AWS and its concepts. They will also gain an understanding of the relationship between Amazon Redshift and other big data systems. In this course, delegates will gain an understanding of the security features as they pertain to Amazon Redshift, such as IAM permissions, data encryption, and database permissions. They will also acquire knowledge of how to launch an Amazon Redshift cluster and use the components, and functionality to implement a data warehouse in the cloud.

During this course, delegates will learn how AWS data and analytic services, such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis Firehose, and Amazon S3, contribute to the data warehousing solution. In this course, delegates will how to work with cluster. They will also gain an understanding of table design and database security. Post completion of this course, delegates will learn how to load and unload data into Data Warehouse.

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  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

AWS RoboMaker Training Course Outline

This RoboMaker course will cover the following areas:

Get Started with AWS RoboMaker

  • Introduction to AWS RoboMaker
  • Architecture of RoboMaker
  • Benefits of RoboMaker

Robotic Development Life Cycle

  • Select Robotic Software Framework
  • Develop a Robotics Application
  • Test and Simulate Application
  • Deploy and Manage Application

Robot Operating System

  • ROS
  • Gazebo

AWS RoboMaker Service Suite

Cloud Extensions for ROS

  • Lex Speech Recognition
  • Polly Speech Generation
  • Kinesis Video Streams
  • Recognition Image and Video Analysis
  • Cloud Watch Logging and Monitoring

Development Environment      

  • Create a RoboMaker Development Environment
  • Pre-install RoboMaker Cloud Extension and Sample Robotics App
  • Automatic Download, Compile and Configuration of OS, Development Software and ROS

Simulation

  • Create Simulation Application
  • Viewing Simulation Application
  • Updating Simulation Application
  • Deleting Simulation Application

Simulation Tools

  • Gazebo
  • RQT
  • RVIZ
  • Terminal

Fleet Management

  • Integrate with AWS IoT Greengrass
  • Built-in Robot Registry, Security, and Fault Tolerance
  • Deploying a Robotic Application

Security

  • Authentication
  • Access control
  • Policies
  • Service-linked Roles
  • Getting Started with IAM
  • Security Compliance

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Prerequisites

There are no prerequisites for this course.

Audience

This course is for IT Professionals who want to learn about AWS Technologies.

AWS RoboMaker Training​ Course Overview

In this course, delegates will learn about Amazon RoboMaker. It is a service that quickly develops, simulates and deploy Robot applications. This course explains AWS machine learning services, monitoring and analytics services that allow a robot to stream data. It provides a robotics application development environment, and it also includes a simulation service.

During this course, delegates will acquire knowledge of how to build a robot application. They will also learn about a simulation application a 3D artificial world and Gazebo plugins that control the movement of a robot. This course explains the fleet management service to deploy and manage applications remotely.

In this 1- day course, delegates will learn about Robotic development life cycle and Robot operating system. Delegates will get an understanding of AWS RoboMaker service suite, cloud extension for ROS and development environment. Before course completion, delegates will become familiarised with simulation, simulation tools, and security compliance.

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  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor
  • Refreshments

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Introduction to AWS Security Course Outline

Introduction to Cloud Security

Secure Global Infrastructure and Compliance

  • Region, Availability Zones, and Endpoints
  • VPC Endpoints
  • IAM and Compliance

Secure Responsibility and Trusted Advisor

  • Shared Responsibility Model
  • Trusted Advisor

Identity and Access Management (IAM)

  • Root User
  • Users and Groups
  • Roles and Policies
  • Visual Editor for Policy Creation
  • Access Advisor

Encryption Essentials

  • Symmetric and Asymmetric Encryption
  • HSM and KMS
  • KMS Integration with S3

Operating System-Level Access

  • Overview and SSH
  • Bastion Host
  • Linux Examples
  • Windows Remote Desktop Example
  • Window PuTTY Example
  • Understand Securing Connection with Bastion Host

Introduction to Data Security

  • Securing Data at Rest: S3 and Glacier
  • Securing Data at Rest: EBS and RDS
  • Securing Data at Rest: DynamoDB and EMR
  • Decommissioning Data and Media
  • Securing Data in Transit
  • Understand VPC Endpoint and Securing S3

Operating System Security

  • Custom AMIs and Bootstrapping
  • AWS Systems Manager- Patching/Automation
  • Mitigating Malware
  • Prepare an Instance for a Custom AMI

Infrastructure Security

  • VPC Security
  • Network Segmentation
  • Strengthening and Threat Protection Layer
  • Testing and Measurement
  • AWS Web Application Firewall and Shield

Monitoring, Alerting, and Auditing

  • Basics of Monitoring
  • AWS Config
  • AWS System Manager- Inventory and Insights
  • AWS Inspector
  • AWS GuardDuty
  • Config to Audit Resources

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Prerequisites

There are no prerequisites for this course.

Audience

Anyone can take this course, who wants to learn about AWS Technologies.

Introduction to AWS Security​ Course Overview

In this course, delegates will learn how to use AWS security services to stay secure in the AWS Cloud. This course explains security practices that AWS recommends for enhancing the security of your data and systems in the cloud. Delegates will learn about the security features of AWS key services, including compute, storage, networking, and database service. They will also gain an understanding of how to secure global infrastructure and compliance. In this global infrastructure module, they will learn about VPC endpoints and IAM and compliance. Delegates will learn about root user, users and groups, roles, policies, and visual editor for policy creation. They will go through the encryption essentials like how to integrate KMS with S3.

This course teaches delegates about OS-level access, data security, operating security and infrastructure security. Delegates will acquire knowledge of how to secure connection with a bastion host. They will also learn about VPC endpoints and securing S3. This course explains how to prepare an Instance for a custom AMI and network segmentation. Post completion of this training, delegates will be able to use AWS config to audit resources.

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  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor
  • Refreshments

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

AWS EMR Training Course Outline

This course helps to acquire complete knowledge of Amazon Elastic MapReduce (EMR) for the collection Open Source Software utilities to analyse and computation of a large amount of data. The following modules cover all the required terms to get a better understanding of Amazon EMR. From this course, delegates have the opportunity to enhance his skill for the data analytic or data administrator.

Module 1 – Introduction to Amazon EMR

  • Overview of Amazon EMR
  • Understanding Clusters and Nodes
  • Understand Processing Data
  • Understanding the Architecture
  • Benefits of Amazon

Module 2 – Amazon EMR Notebooks

  • Amazon EMR Notebooks Overview
  • Creating Notebook
  • Creating Clusters for Notebooks
  • Notebooks Working Concepts
  • Notebooks Monitoring
  • Security of Notebooks

Module 3 – Plan and Configure Clusters with Amazon EMR

  • Configure Cluster Location and Data storage
  • Plan and Configure Master Nodes
  • Using EMR File System
  • Manage Cluster Termination
  • Setting up AMIs
  • Configuring Cluster Software
  • Configuring Cluster Hardware and Networking
  • Configuring Cluster Logging and Debugging

Module 4 – Manage Cluster in Amazon EMR

  • Monitoring of Cluster
  • Connect to the Cluster
  • Terminate a Cluster
  • Scaling Cluster Resources
  • Cloning a Cluster Using the Console

Module 5 – Security in Amazon EMR

  • Security Model in Amazon EMR
  • Security Configurations
  • Data Protection in Amazon EMR
  • Authentication Management with Amazon EMR
  • Kerberos, Lake Formation, Secure Socket Shell (SSH)
  • Amazon EC2 Security Groups

Module 6 – Troubleshooting in Cluster

  • Troubleshooting Strategies

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Prerequisites

There is no formal prerequisites for this course. it will be great if delegates have basic Knowledge of AWS platform.

Audience

This course is designed for the IT professionals and the Amazon Technologies learner.

AWS EMR Training​ Course Overview

The AWS EMR is a web service allowing researchers, businesses, data analytics, and developers to process amounts of data efficiently. It utilises a hosted Hadoop framework running on the web-scale infrastructure of Amazon EC2 and Amazon S3. Amazon Elastic MapReduce (EMR) is a managed cluster platform that simplifies running big data frameworks, Apache Hadoop and Apache Spark, on AWS to process and analyse amounts of data. AWS EMR offers to accelerate low-configuration service as a more accessible alternative to running in-house cluster computing. AWS EMR is used for data analysis in data warehousing, machine learning, financial analysis, scientific simulation, log analysis, web indexing and in other data fields.

In this 1 day course, delegates will get a comprehensive knowledge of AWS Elastic MapReduce (EMR) and its working overview as well as architecture. This course will provide the ability of how to plan and configure the cluster within a master node, task node, and core node. Working with the Amazon AMIs is also included in this course. Delegates will also gain knowledge of how to manage the cluster. Additionally, delegates will learn about the security and troubleshooting strategies for this cluster.

Post completion of this course, delegates will be able to analyse and process the data in Amazon Elastic MapReduce (EMR) as well as plan and configure the cluster.

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  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Migrating Applications to AWS Training​ Course Outline

AWS Business Essentials

  • An Introduction to Cloud
  • Leveraging AWS for Competitive Benefits
  • Cloud Economics
  • About the Migrating to the Cloud
  • Security and Compliance

AWS Technical Essentials

  • AWS: An Introduction and History
  • AWS Foundational Services: EC2, VPC, S3, EBS
  • AWS Security, Identity, and Access Management: IAM
  • AWS Databases: RDS, DynamoDB
  • Tools of AWS Management: Auto Scaling, CloudWatch, Elastic Load Balancing
  • Trusted Advisor

Architecting on AWS

  • Overview of an AWS
  • Designing the Environment
  • Making the Environment Highly Available
  • Fork-lifting an Existing Application onto AWS
  • Event-Driven Scaling
  • Automating and Decoupling the Infrastructure
  • Designing Storage at Scale
  • Hosting a New Web Application on AWS
  • The Four Pillars of the Well-Architected Framework
  • Disaster Recovery and Failover Strategies
  • Troubleshooting the Environment
  • Large-scale Design Patterns and Case Studies

Migrating Applications to AWS

  • An Introduction to Migrating to AWS
  • Discovery, Analysis, and Planning
  • Migration Planning and Design
  • Migration, Integration, and Validation
  • Optimising Applications and Operating in the AWS Cloud

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Prerequisites

For attending this Migrating application to AWS Training, delegates should have knowledge about the AWS Architecture and AWS services.

Audience

This course is intended for:

  • Solutions Architects
  • IT Project Managers
  • Individuals who are part of an organisation’s Cloud Center of Excellence (CCoE)

Migrating Applications to AWS Training​ Course Overview

AWS stands for Amazon Web Services which provides a platform that offers flexible, reliable, scalable, easy-to-use and cost-effective cloud computing solutions. This training addresses three situations in which delegates will learn about batch processes, web applications migration and the backend processing.

This 2-day Migrating Applications to AWS training course will provide delegates with the complete knowledge about the planning and migrating processes of existing workloads to the AWS Cloud. They will understand the need for migration as well as understand the migration plan, strategy, and execution steps of migration.

During this training, delegates will gain knowledge about the latest concepts such as application migration planning and designing, post-migration support, portfolio discovery, execution of migration, and optimisation of the applications. With the help of Migrating Application to AWS training, delegates will be able to explain the migration planning, its principles, and practices.

By the end of this training, delegates will be able to understand the application migration, portfolio discovery, planning and designing of migration, migration execution, and optimising process of the applications after migration.

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  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Introduction to AWS IoT Course Outline

Module 1: Introduction to AWS IoT

  • Concepts of IoT
  • Introduction to Cloud Computing
  • IoT Cloud Architecture
  • IoT Protocol Standard Framework and Stack
  • IoT Application Layer Protocols, API, and Libraries
  • AWS Account Creation

Module 2: Amazon Web Services

  • EC2 (Elastic Compute Cloud)
  • EBS (Elastic Block Storage)
  • VPC (Virtual Private Cloud)
  • AWS Lambda
  • Simple Notification Service
  • Simple Storage Service (S3)
  • Amazon Dynamo DB
  • Amazon Machine Learning Service
  • Amazon ElastiCache for Redis
  • AWS Cloud Watch
  • AWS Cloud Formation
  • AWS CLI

Module 3: AWS IoT (Amazon Internet of Thing) Stack

  • IoT Device SDK
  • Device Registry
  • Device Management
  • Certificates and Policies
  • Message Broker
  • Device Shadow Service
  • Rules Engine and Rule Actions
  • Amazon Greengrass Core
  • IoT Analytics Service
  • Integration with AWS Service Stack

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Prerequisites

There are no prerequisites for this course.

Audience

Anyone interested in Amazon Web Services (AWS) can attend this course.

Introduction to AWS IoT ​Course Overview

This course explains advanced embedded systems, communication protocols, networking, security and analytics. Delegates will also gain an understanding of the IoT cloud architecture and IoT application layer protocols, API and libraries. They will also learn how to create an Amazon web service account.

In this 1- day course, delegates will learn about elastic compute cloud (ec2), ESB (elastic block store). In addition, delegates will also learn about VPC, SC3, Amazon Lambda, Simple Notification Service, Amazon Dynamo DB, and Amazon Machine Learning Service. This course explains AWS cloud watch, cloud formation and CLI. In this course, delegates will learn about the IoT device stack, device registry, and device management. They will also learn the working of message broker, device shadow and AWS green grass core. At the end of this course, delegates will learn about IoT analytics services and integration with AWS stack.

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  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor
  • Refreshments

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

AWS Identity and Access Management (IAM) Training​ Course Outline

Amazon Identity and Access Management is a web service that helps delegates securely control access to AWS Resources.

What is IAM?

  • Introduction to IAM
  • Working of IAM
  • What is ABAC for AWS?
  • Security Features Outside IAM

Get Started with IAM

  • Creating an IAM Admin User and Group
  • Creating a delegated user
  • How User Sign In to your Accounts?

IAM Console and Sign-in Page

  • Controlling User Access to the AWS Management Console
  • AWS Account ID and it's Alias
  • Using MFA Device with your IAM Sign-in Page
  • IAM Console Search

Identities

  • Users and Passwords
  • Multi-Factor Authentication (MFA)
  • Finding Unused Credentials
  • Getting Credential Reports
  • Using IAM with Codecommit: Git Credentials, SSH Keys, and AWS Access Keys
  • Working with Server Certificates
  • Groups and Roles
  • Tagging Users and Roles
  • Temporary Security Credentials
  • The Root User
  • Log Events with CloudTrails

Access Management

  • Policies and Permission
  • Managing IAM Policies
  • Understanding Policies

Troubleshooting IAM

  • Troubleshoot General Issue
  • Troubleshoot Policies
  • Troubleshooting U2F Security keys
  • Troubleshooting IAM Roles
  • Troubleshoot Amazon EC2 and IAM
  • Troubleshooting Amazon S3 and IAM
  • Troubleshooting Amazon SAML 2.0 Federation with AWS

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Prerequisites

There are no prerequisites for this course.

Audience

This course is for IT Professionals who want to learn about AWS Technologies.

AWS Identity and Access Management (IAM) Training​ Course Overview

In this course, delegates will learn about AWS Identity and Access Management (IAM). AWS IAM is a web service that helps delegates securely control access to AWS Resources. Delegates will learn how to use IAM to control who is authenticated and authorised to use resources. In this course, delegates will learn about IAM concept and will get an understanding of how to create an IAM Admin User and Group.

During this course, delegates will learn how to create customer managed policy. This course explains how to control user access to the AWS Management Console. Delegates will learn about AWS Account ID and its Alias and will also gain an understanding of IAM console search. In addition, they will gain knowledge about IAM Identities like users, passwords and multi-factor authentication. This course explains delegates about policies and permissions, managing IAM policies, and understanding policies. Before completion of this course, delegates will learn how to troubleshoot general issues, policies, U2F security keys, IAM Roles, Amazon S3 and IAM, and SAML 2.0 Federation with AWS.

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  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor
  • Refreshments

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

AWS Cloud9 Training Course Outline

The following modules are arranged to provide complete knowledge of OpsWorks, AWS CodeDeploy and AWS CodeStar. Delegates will have the opportunity to take part in Cloud-based infrastructure as a developer or administrator.

Module 1 – Introduction Amazon Cloud9

  • AWS Cloud9 Overview
  • Introduction to Working of AWS Cloud9
  • Features of AWS Cloud9
  • Amazon CloudFormation Overview
  • Amazon EC2

Module 2 – AWS EC2 Fundamentals

  • Introduction to Amazon EC2
  • Amazon Elastic Load Balancers
  • Amazon Auto Scaling
  • Understand Security Groups
  • Learn About SSH key Authentication

Module 3 -  Amazon EC2 Build and provisioning

  • Create an EC2 Instance
  • Create and Provision with CloudFormation
  • Updating a CloudFormation Stack
  • Create a CloudFormation Custom Resource

Module 4 – Deployment Concepts

  • Architect Apps for Horizontal Scaling
  • AWS Network Security for App Deployment
  • Demo App Overview

Module 5 – Elastic Beanstalk in Amazon

  • Elastic Bean Overview
  • Deployment Opportunities
  • Initialise an Elastic Beanstalk Application
  • Create and Validate Elastic Beanstalk Environment
  • Update an Elastic Beanstalk Application
  • Understanding the Beanstalk Database
  • Learn About Beanstalk Configuration
  • Customise Elastic Beanstalk

Module 6 – OpsWorks in Amazon Cloud9

  • OpsWorks Key Points
  • Create an OpsWorks Stack
  • Create an OpsWorks Layer
  • Define an Application
  • Create a Database
  • Add an OpsWorks Load Balancer

Module 7 – AWS CodeDeploy

  • AWS CodeDeploy Key Concepts
  • IAM Setup in AWS CodeDeploy
  • Instance Preparation in AWS CodeDeploy
  • App Creation in CodeDeploy
  • Install and Configure the AWS CLI
  • AppSec and Deployments
  • Troubleshoot Strategies
  • Learn about AWS CodeBuild
  • Add CodeBuild Support to an App
  • Integrate CodeBuild into the Pipeline

Module 8 – AWS CodeStar

  • AWS CodeStar Overview
  • Creating a CodeStar Project
  • Connect CodeStar to AWS Cloud9
  • Customising the CodeStar Project 

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Prerequisites

There are no formal prerequisites for this course.

Audience

This course is designed for IT Professionals.

AWS Cloud9 Training ​Course Overview

In this world, many organisations are looking for IT professionals to manage their Cloud-based infrastructure and its services. Amazon still provides the best services and cloud computing infrastructure. AWS Cloud9 is an integrated development environment that allows to write, test, run and debug code with browser. In this environment, Amazon provides a code editor, debugger, and terminal. The AWS Cloud9 is the complete bundle of essential tools for popular programming languages, such as JavaScript, PHP, Python. Delegates do not need to install files or configure terms to start new development.

In this 1-day course, delegates will get a complete understanding of AWS Cloud9 and its working. Delegates will gain knowledge to create, run, and debug code in AWS Lambda functions, APIs in Amazon API Gateway, and serverless applications. This course will introduce delegates to development environments such as EC2 environments and SSH environments

During this course, delegates will get an understanding of how to create an EC2 instance and provision with cloud formation. The course will provide knowledge of how to deploy apps with code deploy. Delegates will gain knowledge of working with the Cloud9 cloud-based IDE. On this course completion, delegates will be able to create apps and Elastic Beanstalk environment and will get a comprehensive knowledge of AWS Cloud9.

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  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor
  • Refreshments

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Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

AWS Machine Learning Training Course Outline

Module 1: Get Started with Machine Learning

  • Introduction to Artificial Intelligence
  • Introduction to Machine Learning
  • Introduction to Deep Learning

Module 2: Machine Learning and Deep Learning Theory

  • Machine Learning Concepts
    • Machine Learning Lifecycle
    • Supervised, Unsupervised and Reinforcement
    • Optimisation, Hyperparameters, and Validation
  • Data
    • Feature Selection and Engineering
    • Principal Component Analysis (PCA)
    • Missing and Unbalanced Data
    • Label and One Hot Encoding
    • Splitting and Randomisation
    • RecordIO Format
  • Machine Learning Algorithms
    • Logistical and Linear Regression
    • Support Vector Machines
    • Decision Trees
    • Random Forests
    • K-Means
    • K-Nearest Neighbour
    • Latent Dirichlet Allocation (LDA) Algorithm
  • Deep Learning Algorithm
    • Neural Networks
    • Convolutional Neural Networks (CNN)
    • Recurrent Neural Networks (RNN)
  • Model Performance and Optimisation
    • Confusion Matrix
    • Sensitivity and Specificity
    • Accuracy and Precision
    • ROC/AUC
    • Gini Impurity
    • F1 Score
  • Machine Learning Tools and Frameworks
    • Introduction to Jupyter Notebooks
    • ML and DL Frameworks
    • TensorFlow
    • PyTorch and MXNet
    • Scikit-Learn

Module 3: Amazon Web Services

  • Introduction to AWS Services
    • S3
    • Glue
    • Athena
    • Quick
    • Kinesis, Streams, Firehose, Video, and Analytics
    • EMR with Spark
    • EC2 for ML
    • Amazon ML
  • AWS Application Services AI/ML
    • Amazon Rekognition
    • Amazon Polly
    • Amazon Translate
    • Amazon Comprehend
    • Amazon Lex
    • Amazon Service Chaining with AWS Step Functions
    • Amazon SageMaker

Module 4: Amazon SageMaker

  • Introduction
    • What is Amazon SageMaker?
    • The Three Stages
    • Control (Console/SDK/Notebooks)
    • SageMaker Notebooks
  • Build
    • Data Preprocessing
    • Ground Truth
    • Preprocessing Image Data
    • Algorithms
  • Train
    • SageMaker Algorithms-Architecture
    • Training am Image Classifier
    • Hyperparameter Tunning
  • Deploy
    • Inference Pipelines
    • Real-Time and Batch Inference
    • Deploy an Image Classifier
    • Accessing Inference from Apps
    • Create a Custom API for Inference
  • Security
    • Securing SageMaker Notebooks
    • SageMaker and the VPC

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Prerequisites

There are no prerequisites for this course.

Audience

Anyone can take this course, who wants to learn about AWS Technologies.

AWS Machine Learning Training​ Course Overview

AWS Machine Learning is an Amazon web services product allowing developers to discover patterns in end-user data through algorithms, construct mathematical models based on these patterns and then create and implement predictive applications.

This course will teach delegates about machine learning concept, data, and algorithms. In algorithms, delegates will gain an understanding of logistic regression, linear regression, support vector machines, decision trees and random trees etc. They will also learn about the Deep learning algorithms, e.g. Convolutional Neural Network (CNN), Recurrent Neural Network (RNN). In this course, delegates will learn about machine learning tools and frameworks. They will also gain an understanding of Jupyter notebooks, TensorFlow, and PyTorch.

This course explains about AWS services: S3, glue, Athena, EMR with Spark, and EC2 for machine learning. Delegates will gain an understanding of Amazon recognition, Amazon Polly, Amazon transcribe, Amazon translate and Amazon lex. They will also learn about Amazon SageMaker. It is a web service that enables a developer to build and train machine learning models to predict application in the AWS public cloud. In this course, they will learn how to secure SageMaker Notebooks and SageMaker and the VPC.

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  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor

Show moredown

Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

AWS Aurora Training Course Outline

Introduction to Aurora

  • DB Clusters
  • Connection Management
  • Storage and Reliability
  • Security
  • High Availability and Global Databases for Aurora
  • Replication with Aurora

Setting Environment

Getting Started with Aurora

Configuring Aurora DB Cluster

  • Choose DB Instance Class
  • Choose Regions and Availability Zones
  • DB Instance Billing for Aurora
  • Creating DB Cluster
  • Aurora Serverless
  • Connecting to DB Cluster
  • Migrate Data to DB Cluster

Configuring Security

Managing and Monitoring Aurora DB Cluster

Working with Aurora MySQL

  • Introduction to Aurora MySQL
  • Aurora MySQL Security
  • Migrating Data to Aurora MySQL
  • Managing Aurora MySQL
  • Parallel Query for Aurora MySQL
  • Advanced Auditing and Replication with Aurora MySQL
  • Integrating Aurora MySQL with AWS Services

Working with Aurora PostgreSQL

  • Aurora PostgreSQL Security
  • Managing Aurora PostgreSQL
  • Replication with Aurora PostgreSQL
  • Query Plan Management

Best Practices with Aurora

Basics of Limits and Troubleshooting

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Who should attend?

Anyone who wishes to gain knowledge and elevate their skills with AWS Aurora can attend this course. This course is ideal for:

  • Database Administrators
  • Software Architects
  • Software and IT Engineers

 

Prerequisites

No prerequisites are required for this course. However, basic knowledge of relational databases and query language would be beneficial.

AWS Aurora Training Course Overview

AWS Aurora is a relational database engine from Amazon Web Services. It helps to overcome traditional database scalability, performance, and availability limitations in a cost-effective way. Aurora uses a high-performance storage subsystem that automates and standardises database clustering and replication.

This two-day AWS Aurora training course is designed to provide a thorough understanding of how to work with Aurora. Delegates will learn how to manage security, configure the Aurora DB cluster and migrate data to a cluster. The course also looks at how to work with Aurora MySQL and Aurora PostgreSQL.

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What’s Included

  • The Knowledge Academy's AWS Aurora Training Manual
  • Experienced Instructor
  • Certificate

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Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

AWS Directory Service Training Course Outline

This course gives knowledge about the AWS Managed Active Directory and Active Directory Connector.

Introduction to AWS Directory Service

Setting Up AWS Directory Service

  • Sign Up for an AWS Account
  • Create an IAM User

AWS Managed Microsoft AD

  • Get Started with AWS Managed AD
    • AWS Managed Microsoft AD Prerequisites
    • Create AWS Managed Microsoft AD Directory
    • Admin Account
  • Key Concept
    • Active Directory Schema
    • Patching and Maintenance
    • Group Managed Service Accounts
    • Kerberos Constrained Delegation
  • Security, Monitoring and Managing AWS Managed Microsoft AD
    • How to Secure and Monitor Directory?
    • Share Directory
    • Join an EC2 Instance to Directory
    • Manage Users and Groups
    • Connect your Existing AD Infrastructure
    • Maintain Directory
    • Grant Access to AWS Resources
    • Enable Access to AWS Application and Services and Management Console
    • Deploy Additional Domain Controllers
    • Migrate Users from AD to AWS Managed Microsoft AD
    • Application Compatibility Policy for AWS Managed Microsoft AD
  • Troubleshooting AWS Managed Microsoft AD
    • DNS Troubleshooting
    • Linux Domain Join Errors
    • Schema Extension Errors
    • Trust Creation Status Reasons

Active Directory Connector

  • AD Connector Prerequisites
  • Create an AD Connector
  • Secure and Monitor AD Connector Directory
  • Join an EC2 Instance to AD Connector
  • Maintain AD Connector
  • Update DNS for AD Connector
  • Application Compatibility Policy for AD Connector
  • Troubleshooting AD Connector

IAM Authentication and Access Control

  • Managing Access Permissions
  • Identity-Based Policies (IAM Policies)
  • Active Directory Service API Permissions Reference

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Prerequisites

There are no prerequisites for this course.

Audience

This course is for IT Professionals who want to learn about AWS Technologies.

AWS Directory Service Training Course Overview

In this course, delegates will learn about AWS directory service. It provides multiple paths to use Microsoft Active Directory and Amazon Cloud Directory with other AWS services. Active directories store information about users, devices, groups and administrators use them to access information and resources. AWS Directory service provides multiple directory choice for a customer who wants to use Microsoft AD or lightweight directory access protocol. AWS Directory Service also offers the same choices to developers who need a directory to manage users, devices, groups, and access.

In this 2-day course, delegates will learn about AWS Managed Microsoft Active Directory and Active Directory Connector. They will learn how to create AWS Managed Active Directory and active directory connector. Delegates will get an understanding about the active directory schema, patching and maintenance, group managed service account, and Kerberos constrained delegation in Microsoft managed Active Directory.

During this course, delegates will learn how to secure, manage and monitor a directory. Delegates will be equipped with the knowledge of how to manage users, groups, and troubleshoot active directory problems. Post completion of this training, delegates will also gain an understanding of IAM Authentication and Access Control.

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  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor
  • Refreshments

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Deep Learning on AWS Course Outline

Introduction to Deep Learning on AWS

Deep Learning Process for Build, Train, and Deploy

  • Collect Data
  • Choose and Optimise your algorithm
  • Set up and Manage the Environment for Training
  • Train, Retrain, and Tune the Models
  • Deploy Models in Production
  • Scale and Manage the Production Environment

Challenges with Deep Learning Projects

  • Software Management
  • Performance Optimisation
  • Collaborative Development
  • Infrastructure Management
  • Scalability

Highly Optimised AWS Technology Building Blocks for Deep Learning

  • Storage
    • Amazon Simple Storage Service (Amazon S3)
    • Amazon FSx for Lustre
    • Amazon Elastic File System
  • Compute
    • Amazon EC2 P3 Instance
    • AWS Inferentia
    • Amazon EC2 G4
  • Software
    • AWS Deep Learning AMIs
    • AWS Deep Learning Container
  • Networking
    • Enhanced networking
    • Placement Groups
    • Elastic Fabric Adapter
    • Amazon Elastic Inference
  • Solutions
    • Amazon SageMaker Ground Truth for Data Labeling
    • Amazon SageMaker Neo for Model Optimization

Code, Data, and Model Versioning

  • Version Code with Git
  • Version Data in Amazon S3
  • Version Model in Amazon S3

Automation of Deep Learning Process for Retrain and Redeploy

  • AWS Step Functions for Amazon SageMaker
  • Apache Airflow for Amazon Sage
  • Kubeflow Pipeline on Kubernetes

Patterns for Deep Learning at Scale

  • Options for Deep Learning on AWS
  • Use amazon SageMaker
  • Use Kubernetes with Kubeflow on AWS
  • Use Amazon EC2

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Prerequisites

There are no prerequisites for this course.

Audience

Anyone can take this course, who wants to learn about AWS Technologies.

Deep Learning on AWS Course Overview

This course explains about Deep Learning on AWS. Amazon SageMaker is fully-managed machine learning platform, makes it easy to quickly and easily build, train, and deploy machine learning models at any scale. The AWS Deep Learning AMIs lets you build custom environments and workflows. In this 1-Day course, delegates will learn about the process of build, train, and deploy Deep Learning. They will also learn about the challenges with Deep Learning. In this course, delegates will learn about the highly optimised AWS technology Building Blocks for Deep Learning. This course explains code, data and model versioning.

In this 1-day course, delegates will learn AWS Step Functions for Amazon SageMaker, Apache Airflow for Amazon Sage and Kubeflow Pipeline on Kubernetes. They will also gain an understanding of how to use Amazon SageMaker and Kubernetes with Kubeflow on AWS.

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  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor
  • Refreshments

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Kafka Training on AWS Course Outline

This course is designed for IT Professionals and the Amazon Technologies learners. The following modules are arranged as a technical spectrum to acquire the skill of data-plan and managed plan operation for producing and consuming the data. The learning area of this outline will provide the knowledge of troubleshooting and security in Amazon MSK. So, let's start the journey with:

Module 1 – Introduction to Amazon MSK (Kafka)

  • Amazon MSK Overview
  • Amazon MSK Components
  • Working Overview
  • Features of Amazon MSK

Module 2 – Operations and Configuration for Amazon MSK

  • Create and Setup VPC for Amazon MSK
  • Introduction to Cluster Operations in Amazon MSK
    • Create and Delete Cluster
    • Connection String
    • Bootstrap Brokers
    • Broker Storage
  • Configuration Types in Amazon MSK

Module 3 – Security in Amazon MSK

  • Overview of Security Strategies
  • Data Protection and Client Authentication
  • Managing the Access to Apache ZooKeeper
  • Logging and Monitoring for Amazon MSK
  • Compliance Validation for Amazon MSK

Module 4 – Troubleshooting for Amazon MSK Cluster

  • Understand Troubleshooting Strategies

Module 5 – Migrating Clusters with Amazon Service

  • Discuss Migrating Needs
  • Migrating Apache Kafka Cluster to Amazon MSK

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Prerequisites

There are no formal prerequisites for this course.

Audience

This course is designed for IT professionals and AWS technologies learners.

Kafka Training on AWS​ Course Overview

Amazon MSK is a streaming data managed service that allows to build and run applications that use Apache Kafka to process streaming data. Amazon MSK provides managed-plan operations like those for creating, updating, and deleting clusters. Amazon MSK is allowed to use Apache Kafka data-plane operations, such as for producing and consuming data. This Amazon managed service is leading the infrastructure and operations, for developers to run the Apache Kafka applications on AWS. Amazon MSK is responsible for operating and maintaining Apache Kafka clusters, providing high-level security to an organisation and Amazon integrations that accelerate the development of streaming data applications.

From this course, delegates will get complete knowledge about Amazon MSK and its essential terms. Delegates will learn about Cluster operations like creating, updating, and deleting the cluster. The course will also teach how to secure the Cloud and protect the data in Amazon managed streaming for Kafka as well as identity and access management for Amazon Management Streaming for Apache Kafka. Troubleshooting is also included in this course and delegates will get a better understanding of troubleshooting strategies to get the ability to resolve issues.

Post completion of this course, delegates will be able to understand the Apache Kafka data plan operations such as for producing and consuming data. In addition, they will learn about the managed plan operations such as creating, updating and deleting clusters.

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  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

AWS CloudFormation Training Course Outline

This course outline is designed to help delegates in setting up their AWS resources.

Get Started with AWS CloudFormation

  • Introduction to AWS CloudFormation
  • AWS CloudFormation Features and Components
  • How does AWS CloudFormation Work?

Setting Up

  • Signing up for an AWS Account and Pricing
  • Controlling Access with IAM
  • Logging CloudFormation API Calls
  • AWS CloudFormation Limits
  • Setting up VPC Endpoint for AWS CloudFormation

Continuous Delivery with CodePipeline

  • Building a Pipeline for Test and Production Stacks
  • Configure Properties Reference
  • AWS CloudFormation Artifacts
  • Parameter Override Functions with CodePipeline Pipelines

Working with Stacks

  • Using the Console
  • Using AWS CLI
  • Stack Updates
  • Detecting Unmanaged Configuration Changes to Stack and Resources
  • Exporting Stack Output Values
  • Listing Stacks that Import and Export Output Value
  • Working with Nested and Windows Stacks

Working with Template

  • Template Format and Anatomy
  • Define AWS CloudFormation Designer
  • Template Snippets
  • Custom Resources
    • Amazon Simple Notification Service Backend Custom Resources
    • AWS Lambda-Backed Custom Resources
  • Template Macros
  • Using CloudFormer to Create Template

Working with AWS CloudFormation StackSets

  • StackSets Concepts
  • Granting Permissions for Stack Set Operations
  • Create a New Stack Set
  • Update Stack Set
  • Add Stacks to Stack Set
  • Override Parameters on Stack Instance
  • Delete Stack Instances and Stack Sets
  • Configuring a Target Account Gate in AWS CloudFormation StackSets

Troubleshooting AWS CloudFormation

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Prerequisites

There are no prerequisites for this course.

Audience

This course is for IT Professionals who want to learn about AWS Technologies.

AWS CloudFormation Training​ Course Overview

This course teaches delegates about CloudFormation. This service helps delegates in setting up their AWS resources so that they can spend less time managing those resources and more time focusing on their application that runs on AWS. In this course, delegates will learn about AWS CloudFormation concepts and how does AWS CloudFormation work.

During this course, delegates will gain an understanding of how to sign up for an AWS Account, control access, log CloudFormation API calls, AWS CloudFormation limits and set up VPC endpoint for AWS CloudFormation. This course also explains about continuous delivery with code PipeLine.

In this 1-day course, delegates will learn how to work with stack and templates. They will also learn about StackSet concepts, granting permission for StackSet operation, creating, updating and deleting StackSet. In addition, delegates will also learn how to configure a target account gate in AWS CloudFormation StackSets. On completion of this training, delegates will be able to troubleshoot Amazon CloudFormation.

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  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor
  • Refreshments

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

AWS EC2 with Linux Training Course Outline

This AWS EC2 with Linux course will cover the following areas:

Get Started with Amazon EC2

  • What is Amazon EC2?
  • Instances and AMIs
  • Regions and Availability Zones
  • Root Device Volume
  • Setting Up with Amazon EC2

Amazon Machine Images (AMI)

  • AMI Types
  • Virtualisation Types
  • Finding a Linux AMI
  • Shared and Paid AMIs
  • Creating an Amazon EBS-Backed Linux AMI
  • Using Encryption with EBS-Backed AMIs
  • Copy an AMI
  • Deregistering Linux AMI
  • Amazon Linux
  • Running Amazon Linux 2 as a Virtual Machine On-Premises
  • User Provides Kernels

Learn Instances

  • Instances Types
  • Instance Purchasing Options
  • Instance Lifecycle
  • Configure Instances
  • Identity Instances

Amazon Elastic Inference

Monitoring

  • Automated and Manual Monitoring
  • Monitoring the Status of Your Instances
  • Monitoring your Instances Using CloudWatch
  • Automating Amazon EC2 with ClouldWatch Events
  • Monitoring Memory and Disk Metrics
  • Logging API Calls with AWS CloudTrails

Network and Security

  • Key Pairs
  • Security Groups
  • Controlling Access
  • Instance IP Addressing
  • Elastic IP Address
  • Network Interfaces
  • Learn Enhanced Networking on Linux
  • Elastic Fabric Adapter
  • Placement Groups
  • Network MTU
  • Virtual Private Clouds
  • Introduction to EC2 Classic

Storage

  • Amazon EBS
  • Instance Store
  • File Storage
  • Amazon S3
  • Instance Volume Limits
  • Device Naming
  • Block Device Mapping

EC2 Rescue for Linux

  • Installing EC2 Rescue for Linux
  • Verify the Signature of EC2 Rescue for Linux
  • Working with EC2 Rescue for Linux
  • Developing EC2 Rescue Modules

Troubleshooting

  • Troubleshoot Launch Instance
  • Connecting, Stopping, Terminating Instance
  • Failed Status Check
  • Troubleshoot an Unreachable Instance

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Prerequisites

There are no prerequisites for this course.

Audience

This course is for IT Professionals who want to learn about AWS Technologies.

AWS EC2 with Linux Training Course Overview

In this course, delegates will learn about Amazon EC2. It provides scalable computing capacity in the AWS Cloud. Delegates can develop and deploy application faster with EC2. They can use Amazon EC2 to launch virtual servers, configure network and security, and manage storage. It enables delegates to scale up or down to handle changes in requirements.

In this course, delegates will learn how to create Amazon EBS-Backed Linux AMI. They will learn about instances types, instances, purchasing options, instances lifecycle, configure instances and identity instances. This course explains about EC2 monitoring, network and security. Delegates will gain knowledge about amazon EBS, Instance Store, file storage, S3 and instance volume limits. They will also get an understanding of how to troubleshoot EC2 instances.

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  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor
  • Refreshments

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Course Outline

The following modules cover all the essential elements to acquire the skill to create and deploy APIs in Amazon. From these technically arranged modules, delegates will understand how to manage and maintain the APIs and get a better ability to apply strategies in APIs field.

Module 1 – Introduction to AWS API Gateway

  • AWS API Gateway Overview
  • AWS API Gateway Concepts
  • Architecture of API Gateway
  • Features of AWS API Gateway

Module 2 – REST API in AWS API Gateway

  • Introduction to REST API
  • Creating REST API in AWS API Gateway
  • Managing Access to a REST API
  • Update and Maintain a REST API
  • Deploying and Invoking a REST API 
  • Monitoring an API in API Gateway

Module 3 – WebSocket API in AWS API Gateway

  • Introduction to WebSocket API
  • Create a WebSocket API in AWS API Gateway
  • WebSocket API Routes
  • Integrations WebSocket API Overview
  • Deploying and Invoking a WebSocket API
  • Manage Access to a WebSocket API
  • Monitoring in WebSocket API

Module 4 – Learn About Publishing APIs

  • Developer Portal
  • Set Up a Custom Domain Name for API
  • Software Development Strategy Release

Module 5 – Monitoring API Configuration in AWS API Gateway

  • Monitor Resource Types
  • Monitoring Strategies

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Prerequisites

There are no formal prerequisites for this course.

Audience

This course is designed for IT Professionals.

AWS API Gateway Training​ Course Overview

AWS API Gateway is a managed service to create, publish, maintain, monitor, and secure REST and WebSocket APIs at any scale. This service helps to create an API Gateway for applications to access data, business curiosities, or functionality from back-end services, like applications running on AWS EC2, AWS ECS or AWS Elastic Beanstalk, Coding execution on AWS Lambda or other web application. AWS API Gateway manages tasks involved in accepting and processing a large number of API calls, including traffic management, authorisation and access control, monitoring, as well as API version management.

This 1-day course will provide comprehensive knowledge about AWS API Gateway and its concepts. Delegates will learn about APIs such as REST APIs and WebSocket APIs and its architecture. Delegates will also get an understanding of how to create and deploy APIs. Post completion of this course, delegates will be able to create APIs for applications and publish the created APIs as well as create and deploy REST API and WebSocket API.

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  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

AWS Lightsail Training Course Outline

This course is completely based on essential concepts of Amazon Lightsail service. The following modules are arranged to provide the complete knowledge of every area and concepts in Amazon Lightsail. Delegates will acquire the skills to develop and manage any websites and web applications with Amazon Lightsail.  

Module 1 – Introduction to Amazon Lightsail

  • Define Amazon Lightsail
  • Resources for Amazon Lightsail
  • Features of Amazon Lightsail

Module 2 – Instance in Amazon Lightsail

  • Amazon Lightsail Instance Overview
  • Create and Manage VPS Instance
  • Monitoring Dashboard

Module 3 – Databases in Amazon Lightsail

  • Databases Overview in Amazon Lightsail
  • Creating Database
  • Manage Database in Amazon Lightsail
  • Updating Database Parameters

Module 4 – Networking in Amazon Lightsail

  • Networking Overview in Amazon Lightsail
  • Understand Static IP for Instance
  • DNS Zone in Amazon Lightsail
  • Load Balancer in Amazon Lightsail

Module 5 – Storage in Amazon Lightsail

  • Storage Overview in Amazon Lightsail
  • Understand Block Storage Disks
  • Define EBS Volumes

Module 6 – Snapshots Concept in Amazon Lightsail

  • Snapshot Overview in Amazon Lightsail
  • Snapshot Operations in Amazon Lightsail

Module 7 – Working with WordPress in Amazon Lightsail

  • Overview of WordPress and LAMP Stack
  • Create a VPS Instance
  • WordPress Installation on LAMP Stack 
  • Mapping a Domain with WordPress

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Prerequisites

There are no formal prerequisites for this course.

Audience

This course is designed for IT Professionals and Amazon Technologies Learner.

AWS Lightsail Training​ Course Overview

Amazon Lightsail is a managed service that works on a cloud-based platform. It offers the required terms to build an application or website. Amazon Lightsail provides the Virtual Private Server (VPS) and has the ability to store and compute data as well as networking infrastructure. Along with this, it has the capability to deploy and manage websites within web applications in the cloud. Light Scale provides a bundle of resources such as a virtual machine, storage, data transfer, DNS management.

In this 1-day course, delegates will learn about how to do website hosting on the Amazon Lightsail Cloud Platform provided by Amazon web services and get an understanding of Amazon Lightsail and instance configurations. The course will also teach about Amazon load balancer and static IP for networking. Delegates will get a better understanding of virtual server, managed databases, load balancers, storage and APIs. From this course, delegates will acquire knowledge of how to migrate one hosting provider to Amazon Lightsail.

On course completion, delegates will be able to host websites on the Amazon Lightsail as well as get a complete understanding of how to manage resources.

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  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor

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AWS is the world’s leading and most secure cloud services platform that helps businesses grow and develop with a stable IT infrastructure
Please see our Amazon AWS Training courses available in the United Kingdom
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The price for Amazon AWS Training certification in the United Kingdom starts from £.

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