Advanced Technologies Courses

Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Introduction to Virtualisation Technologies Course Outline

Module 1: Introduction to Virtualisation

  • What is Virtualisation?
  • Virtualisation Types
  • Hypervisors Types
  • Local Virtualisation and Cloud

Module 2: Common Uses in Virtualisation

  • Virtualising Desktop Computers
  • Running a Specific Program Solution
  • Setting up Test and Development Environments

Module 3: Virtualisation Hardware

  • Virtual CPU
  • Virtual Memory
  • Virtual Storage
  • Virtual Networking

Module 4: Microsoft Hyper-V

  • Overview of Microsoft Hyper-V
  • Advantages of Hyper-V

Module 5: VMware Workstation Player

  • What is VMware Workstation Player?
  • Steps to Install a VMware Workstation Player
  • Creating a VM with VMware Workstation
  • Setting up Networking with VMware Workstation
  • Using a VMware Workstation Allocating Processors and Memory to a VM

Module 6: VirtualBox Basics

  • Installing VirtualBox
  • Creating VM with VirtualBox
  • Setting Up Networking with VirtualBox
  • Allocating Processors and Memory to a VM
  • Duplicating and Deleting a VM

Module 7: OpenStack

  • Overview of OpenStack
  • Core Key Components

Module 8: Infrastructure Preparation

  • Hypervisor
  • Networking - LAN and WAN Optimisation
  • Understanding Different File Systems
  • Different Types of Storage

Module 9: Troubleshooting

  • Network Communication Indicators
  • Network Communication Resolutions
  • Troubleshooting Slow Performance
  • Check the Memory

Module 10: Backing Up, Restoring, and Migrating VM

  • Duplicating a VM
  • Backing Up and Recovering a VM
  • Converting a Virtual Server into a Physical Server
  • Converting a Physical Server into a Virtual Server

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Who should attend this Introduction to Virtualisation Technologies Course?

The Introduction to Virtualisation Technologies Training Course is suitable for those who want to get better at understanding the basics and implementation techniques of Virtualisation Technologies. The Introduction to Virtualisation Technologies Course can benefit professionals such as:

  • System Administrators
  • Network Administrators
  • Database Administrators
  • Cloud Professionals
  • Infrastructure Managers
  • Business Analysts
  • Data Centre Managers 

Prerequisites of the Introduction to Virtualisation Technologies Course

There are no formal prerequisites for this Introduction to Virtualisation Technologies Training Course.

Introduction to Virtualisation Technologies Course Overview

Virtualisation technology is used to create virtual versions of physical computer objects, including hardware and storage devices. This course is a cornerstone in our suite of Advanced Technology Training Courses  and provides a comprehensive overview of Virtualisation and its pivotal role in modern IT infrastructure.

In today's digital landscape, understanding Virtualisation Technologies is essential for IT professionals seeking to optimise resource utilisation, enhance scalability, and streamline operations. This course is particularly beneficial for System Administrators, IT Managers, and technology enthusiasts aiming to master the principles and applications of Virtualisation.

This 1-day training by the Knowledge Academy equips delegates with the foundational knowledge and practical skills needed to implement Virtualisation solutions. Delegates will gain insights into Virtualisation concepts, such as server Virtualisation and desktop Virtualisation, and learn to leverage these technologies to enhance efficiency and flexibility in IT environments.

Course Objectives:

  • To comprehend the fundamental concepts of Virtualisation and its various forms
  • To explore the benefits and challenges associated with implementing Virtualisation technologies
  • To understand the principles of server Virtualisation and its impact on resource optimisation
  • To grasp the concept of desktop Virtualisation and its applications in different industries
  • To gain practical experience in implementing Virtualisation solutions
  • To evaluate security considerations and best practices in virtualised environments

Upon completion, delegates will possess a solid understanding of Virtualisation Technologies, enabling them to make informed decisions in implementing and managing virtualised infrastructures.

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What’s included in this Introduction to Virtualisation Technologies Course?

  • World-Class Training Sessions from Experienced Instructors
  • Introduction to Virtualisation Technologies Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

5G Wireless Training Course Outline

Module 1: Introduction to 5G Wireless Communication

  • Introduction to 5G Technology
  • Evolution of Advanced LTE Technology Beyond to 4G 
  • Pillars of 5G 

Module 2: Overview of 5G Internet

  • Internet of Things (IoT)
  • Mobility
  • Quality of Service Control
  • Emerging Approach for Resource Over-Provisioning 

Module 3: Small Cells for 5G Internet

  • Introduction of 5G Technology
  • 5G Service Based Architecture
  • 5G Core
  • 5G Architecture
  • Development of 5G Protocol Standardisation
  • 5G Small Cell
  • 5G Security

Module 4: Cooperation for Next-Generation Wireless Network

  • Cooperative Diversity
  • Relaying Strategies

Module 5: Basics of Mobile Cloud

  • Mobile Cloud
  • Mobile Cloud Enablers

Module 6: Introduction to Cognitive Radio

  • Cognitive Radio Technology in 5G Wireless
  • Spectrum Optimisation
  • Cognitive Radio and Carrier Aggregation
  • Requirements and Challenges for 5G Cognitive Terminals

Module 7: White Spaces for 5G

  • White Spaces
  • TV White Space Technology
  • Opportunities and Challenges in White Space Spectrum
  • TV White Space Applications

Module 8: 5G Communications Security Basics

  • Overview of 5G Communication Security
  • Potential 5G Communications System Architecture 
  • Security Issues and Challenges with 5G Communication

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Who should attend this 5G Wireless Training Course?

The 5G Wireless Training Course is designed for those who want to get better at understanding the intricacies surrounding wireless communication networks, particularly 5G. The 5G Wireless Course can benefit professionals such as:

  • Telecom Engineers
  • Network Architects
  • Wireless Communication Specialists
  • IoT Developers
  • Network Administrators
  • Data Scientists
  • Wireless Product Managers

Prerequisites of the 5G Wireless Training Course

There are no formal prerequisites for this 5G Wireless Training Course.

5G Wireless Training Course Overview

The 5G Wireless Training Course delves into the revolutionary landscape of 5G Wireless technology, positioning delegates at the forefront of the digital era. As the next generation of wireless communication, 5G holds immense potential to transform industries, enabling unprecedented speed, connectivity, and efficiency in data transfer.In today's rapidly evolving technological landscape, knowledge of 5G Wireless is not just beneficial but imperative. Professionals engaged in network engineering, telecommunications, and IT must master this subject to meet the growing demands of connectivity and data transfer. As industries increasingly adopt 5G, those equipped with expertise in its implementation and management will find themselves at a significant advantage in the competitive job market.

This 2-day training by the Knowledge Academy is tailored to meet the specific needs of professionals aiming to deepen their understanding of 5G Wireless. Delegates will benefit from comprehensive sessions covering the theoretical foundations of 5G technology, its practical applications, and real-world case studies.

Course Objectives:

  • To comprehend the fundamental concepts and architecture of 5G Wireless technology
  • To explore the key features and functionalities that distinguish 5G from its predecessors
  • To understand the practical applications and use cases of 5G in various industries
  • To gain proficiency in the deployment and management of 5G networks
  • To evaluate the security challenges associated with 5G and implement effective solutions
  • To apply theoretical knowledge through practical exercises and case studies

Upon completion, delegates will be proficient in implementing and managing 5G networks, making them valuable assets to their organisations and positioning them for career growth in the rapidly evolving field of wireless technology.

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What’s included in this 5G Wireless Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • 5G Wireless Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

Building Chatbots with Alexa Skills and Amazon Lex Course Outline

Module 1: Understanding Chatbots

  • What are Chatbots?
  • What Makes Up a Chatbot?
  • Designing Conversation Flows
  • Best Practices
  • Amazon Alexa and Lex

Module 2: AWS and Amazon CLI

  • Creating an Account
  • Creating a Lambda
  • Methods for Working with Lambdas
  • Creating the Best Local Development Environment

Module 3: Creating First Alexa Skill

  • Alexa Skills Kit
  • Creating a Lambda to Handle the Request
  • Testing Skills
  • Creating a More Useful Skill
  • Conversational Flow diagram
  • Creating the Lambda
  • Launching Skill

Module 4: Connecting Alexa Skills to External APIs

  • External APIs
  • Creating Weather Skill
  • Improving User Experience

Module 5: Building First Amazon Lex Chatbot

  • Creating an Amazon Lex and FAQ Chatbot
  • Lex Responses

Module 6: Connecting a Lex Bot to DynamoDB

  • Designing the Flows
  • Building the Chatbot
  • Testing the Whole Bot

Module 7: Publishing Chatbot to Facebook, Slack, Twilio, and HTTP

  • Integrations
  • HTTP Endpoint
  • Web User Interface

Module 8: Improving the User Experience for Bots

  • Technical Requirements
  • Response Cards in Amazon Lex
  • Alexa Search Queries
  • Lex Utterance Monitoring

 

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Who should attend this Building Chatbots with Alexa Skills and Amazon Lex Course?

The Building Chatbots with Alexa Skills and Amazon Lex Training Course is designed for those who want to get better at developing interactive interfaces containing Chatbots for platforms such as Alexa and Amazon Lex. This course can be beneficial to the following professionals:

  • Technical Architects
  • UI/UX Designers
  • Business Analysts
  • Voice Application Developers
  • Chatbot Developers
  • NLP Engineers
  • Product Managers

Prerequisites of the Building Chatbots with Alexa Skills and Amazon Lex Course

There are no formal prerequisites for this Building Chatbots with Alexa Skills and Amazon Lex Training Course.

Building Chatbots with Alexa Skills and Amazon Lex Course Overview

Amazon Lex is an AWS service that builds conversational interfaces for applications using text and voice. This course is a dynamic addition to our suite of courses on Advanced Technology, offering a comprehensive exploration of chatbot development using Alexa Skills and Amazon Lex.

In today's digital landscape, chatbots play a pivotal role in enhancing user experience and automating interactions. Mastery of this subject is crucial for professionals in software development, UX design, and customer service seeking to leverage voice-driven conversational interfaces for improved engagement and efficiency.

This 2-day training by the Knowledge Academy empowers delegates to design and deploy effective chatbots using Alexa Skills and Amazon Lex. Delegates will gain hands-on experience in creating conversational interfaces, understanding natural language processing, and integrating chatbots seamlessly into applications and services.

Course Objectives:

  • To comprehend the principles of conversational interface design
  • To master the development of chatbots using Alexa Skills
  • To explore the capabilities of Amazon Lex for natural language understanding
  • To integrate chatbots into diverse applications and services
  • To implement voice-driven interactions for enhanced user engagement
  • To troubleshoot and optimise chatbots for improved performance

Upon completion of this course, delegates will possess the skills to build sophisticated chatbots, enhancing their professional capabilities and enabling them to contribute to the creation of seamless and user-friendly conversational interfaces in various domains.

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What’s included in this Building Chatbots with Alexa Skills and Amazon Lex Course?

  • World-Class Training Sessions from Experienced Instructors
  • Building Chatbots with Alexa Skills and Amazon Lex Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Conda Training Course Outline

Module 1: Installation Conda

  • System Requirements
  • Regular Installation
    • Windows
    • macOS
    • Linux
  • Installing in Silent Mode
  • Installing Conda on a System that has Other Python Installations or Packages

Module 2: Conda Configuration

  • Using the .Condarc Conda Configuration File
  • Sample .Condarc File
  • Using the Free Channel
  • Administering a Multi-User Conda Installation
  • Enabling Tab Completion
  • Improving interoperability with pip
  • Using Conda on Windows XP with or Without a Proxy
  • Disabling SSL Verification
  • Using Non-Standard Certificates

Module 3: Tasks

  • Managing Conda and Environments
  • Managing Channels
  • Creating Custom Channels
  • Managing Packages and Virtual Packages
  • Managing Python
  • Using Conda with Travis CI
  • Viewing Command-Line Help

Module 4: Troubleshooting Conda

  • Using Conda in Windows Batch Script Exits Early
  • NumPy MKL Library Load Failed
  • SSL Connection Errors
  • Permission Denied Errors During Installation
  • Permission Denied Errors After Using Sudo Conda Command
  • Already Installed Error Message
  • Conda Reports that a Package is Installed, but it Appears Not to be
  • Shell Commands Open from the Wrong Location
  • Programs Fail Due to Invoking Conda Python Instead of System Python
  • Package Installation Fails from a Specific Channel
  • Conda Automatically Upgrades to Unwanted Version
  • Conda Upgrade Error
  • Unicode Error After Installing Python 2
  • System Cannot Find the Path Specified on Windows

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Who should attend this Conda Training Course?

The Conda Training Course is designed for those who want to get better at managing packages, environments, and dependencies while using the Conda package manager. The Conda Training Course can benefit professionals such as:

  • Data Scientists Analysts
  • Software Developers
  • Data Engineers
  • System Administrators
  • Cloud Engineers
  • Bioinformaticians
  • DevOps Engineers  

Prerequisites of the Conda Training Course

There are no formal prerequisites for this Conda Course.

Conda Training Course Overview

The Conda Training Course focuses on the efficient management of software packages and environments in data science and programming. Conda, a versatile package and environment manager, plays a central role in simplifying the complex task of software dependency management, offering a streamlined solution for professionals working on diverse coding and data science projects.

Knowing Conda is essential for professionals in data science, programming, and software development, providing a robust platform for managing dependencies and creating reproducible environments. As projects grow in complexity, Conda ensures consistency in software versions, facilitating collaboration among multidisciplinary teams. Mastery of Conda is particularly crucial for Data Scientists, Developers, and IT Professionals seeking to optimise their workflows and deliver reliable, scalable solutions.

In this 1-day training by the Knowledge Academy, delegates will gain expertise in Conda, mastering the creation, sharing, and deployment of packages and environments. The course ensures delegates can streamline their workflow, enhance collaboration, and efficiently manage software dependencies in complex projects.

Course Objectives:

  • To understand the fundamentals of Conda and its role in managing software packages
  • To learn how to create and manage Conda environments for different projects
  • To explore the process of installing, updating, and removing packages using Conda
  • To grasp the concept of version control and environment reproducibility in Conda
  • To acquire skills in sharing and distributing Conda environments
  • To apply Conda in real-world scenarios, troubleshooting common issues effectively

Upon completion, delegates will possess a comprehensive understanding of Conda, enabling them to enhance productivity, collaboration, and reproducibility in their data science and programming projects. This expertise positions them to excel in roles requiring efficient software management and deployment.

 

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What’s included in this Conda Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Conda Training Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Quantum Computing Course Outline

Module 1: Introduction to Quantum Computing

  • What is Quantum Computing?
  • Quantum Mechanics
  • Qubits and Quantum Memory
  • Elementary Gates

Module 2: Overview of Circuit Model and Deutsch-Jozsa

  • Classical Circuits
  • Quantum Circuits
  • Universality of Various Sets of Elementary Gates
  • Quantum Parallelism
  • Early Algorithms

Module 3: Simon’s Algorithm and Fourier Transform

  • Simon’s Algorithm
  • Problem
  • Quantum Algorithm
  • Classical Algorithms for Simon’s Problem

Module 4: Fast Fourier Transform

  • Classical Discrete Fourier Transform
  • Fast Fourier Transform
  • Application: Multiplying Two Polynomials
  • Quantum Fourier Transform

Module 5: Shor’s Factoring Algorithm

  • Factoring
  • Shor's Period-Finding Algorithm
  • Continued Fractions

Module 6: Hidden Subgroup Problem

  • Group Theory Reminder
  • A General Algorithm for Abelian HSP
  • Non-Abelian QFT on Coset States

Module 7: Grover’s Search and Quantum Walk Algorithm

  • Grover’s Algorithm
  • Amplitude Amplification
  • Quantum Walk
  • Applications

Module 8: Hamiltonian Simulation and HHL Algorithm

  • Hamiltonians
  • Methods of Hamiltonian Simulation

Module 9: Introduction to HHL Algorithm

  • What is HHL Algorithm?
  • Linear System Problem
  • HHL Algorithm for Linear Systems
  • Improving HHL Algorithm Complexity

Module 10: Quantum Query Lower Bounds

  • Introduction
  • Polynomial Method
  • Quantum Adversary Method

Module 11: Quantum Complexity Theory

  • Introduction to Quantum Complexity Theory
  • Classical and Quantum Complexity Classes
  • Classically Simulating Quantum Computers in Polynomial Space

Module 12: Quantum Encodings with a Non-Quantum Application

  • Mixed States and General Measurements
  • Quantum Encodings and Their Limits
  • Lower Bounds on Locally Decodable Codes

Module 13: Quantum Communication Complexity

  • Classical Communication Complexity
  • Quantum Question

Module 14: Entanglement and Non-Locality

  • Quantum Non-Locality
  • CHSH: Clauser-Horne-Shimony-Holt
  • Magic Square Game

Module 15: Introduction to Quantum Cryptography

  • Quantum Key Distribution
  • Reduced Density Matrices and the Schmidt Decomposition
  • Impossibility of Perfect Bit Commitment

Module 16: Error-Correction and Fault-Tolerance

  • Introduction
  • Classical Error-Correction
  • Quantum Errors
  • Quantum Error-Correcting Codes
  • Fault-Tolerant Quantum Computation
  • Concatenated Codes and the Threshold Theorem

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Who should attend this Quantum Computing Training Course?

The Quantum Computing Training Course is designed for those who want to get better at understanding the basics and implementation techniques of Quantum Computing. The Quantum Computing Training Course can benefit the following professionals:

  • Software Developers
  • Data Scientists
  • Mathematicians
  • Computer Scientists
  • Researchers
  • Financial Analysts
  • Telecommunications Experts 

Prerequisites of the Quantum Computing Training Course

There are no formal prerequisites for this Quantum Computing Course.

Quantum Computing Course Overview

Quantum Computing is the field focused on developing computer technology based on quantum theory principles. Quantum computers can process massive and complicated datasets more efficiently as compared to classical computers. Quantum computers use quantum mechanics fundamentals to speed up the process of solving complex computations.

This Quantum Computing Training is designed to provide knowledge of Quantum mechanics and practical applications of Quantum computing. Delegates will learn about classical circuits and quantum circuits. In addition, delegates will understand the concepts of quantum parallelism and the quantum algorithm. Delegates will explore Simon’s algorithm as well as Shor’s factoring algorithm.

During this 1-day training course by The Knowledge Academy, delegates will gain knowledge on Hamiltonian simulation and three methods under it. Delegates will also acquire knowledge on the basics of HHL algorithm for a linear system. Furthermore, delegates will get an understanding of how to improve the HHL algorithm complexity. Post completion of this training, delegates will be able to identify Quantum errors, concatenate codes and the threshold theorem.

Course Objectives:

  • To grasp fundamental principles of quantum mechanics applied in computing
  • To implement quantum algorithms through practical hands-on exercises
  • To gain proficiency in quantum programming languages and tools
  • To understand the real-world applications and potential impact of quantum computing
  • To foster collaboration and knowledge-sharing in the evolving field

Upon completion, delegates will possess a deep understanding of quantum computing principles, hands-on experience with quantum algorithms, and the skills needed to contribute to advancements in this transformative field.

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What’s included in this Introduction to Quantum Computing Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Quantum Computing Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Reverse Engineering Training Course Outline

Module 1: Introduction to Reverse Engineering

  • Define Reverse Engineering
  • Reversing Applications
  • Low-Level Software
  • Reversing Process
  • System Monitoring Tools

Module 2: Low-Level Software

  • High-Level Perspectives
  • Low-Level Perspectives
  • Assemble Language 101

Module 3: Windows Fundamentals

  • Components and Basic Architecture
  • Memory Management
  • Objects and Handles
  • Processes and Threads
  • Application Programming Interfaces
  • Executable Formats
  • Input and Output

Module 4: Exploring Reversing Tools

  • Reversing Approaches
  • Disassemblers, Debuggers, and Decompilers
  • System Monitoring and Patching Tools

Module 5: Deciphering File Formats

  • Reversing and Interoperability
  • Using and Reversing Cryptex
  • Password Verification Process
  • Directory Layout
  • File Extraction Process

Module 6: Auditing Program Binaries and Reversing Malware

  • Defining the Problem and Vulnerabilities
  • Malware Types
  • Future Malware
  • Malware Uses and Vulnerability
  • Polymorphism and Metamorphism

Module 7: Piracy and Copy Protection

  • Software Piracy
  • Protection Types
  • Digital Rights Management
  • Watermarking

Module 8: Antireversing Techniques

  • Antireversing Approaches
  • Active Antidebugger Techniques
  • Confusing Disassemblers
  • Control Flow Transformations
  • Data Transformations

Module 9: Introduction to Reversing .NET

  • Basics of .NET
  • Intermediate Language (IL)
  • Decompilers and Obfuscators
  • Reversing Obfuscated Code

Module 10: Overview of Decompilation

  • Decompiler Architecture
  • Intermediate Representation
  • Front End and Code Analysis

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Who should attend this Reverse Engineering Training Course? 

This Reverse Engineering Course is designed for individuals seeking to enhance their skills and knowledge in the field of Reverse Engineering. This course is particularly beneficial for professionals such as:

  • Software Engineers
  • Cybersecurity Professionals
  • Ethical Hackers
  • Malware Analysts
  • Embedded Systems Engineers
  • Security Researchers
  • Digital Forensics Experts

Prerequisites of the Reverse Engineering Training Course

There are no formal prerequisites to attend the Reverse Engineering Training Course. However, a basic understanding of Windows OS and computer architecture concepts would be beneficial.

Reverse Engineering Training Course Overview

The Reverse Engineering Training Course, a cornerstone of our Advanced Technology Courses, immerses delegates in the intricate world of dissecting and comprehending the inner workings of software and hardware systems. Reverse Engineering is a pivotal skill in the technological realm, allowing individuals to unravel the complexities of existing technologies, enhance security measures, and foster innovation.

In an era where digital security is paramount, the importance of mastering Reverse Engineering cannot be overstated. Cybersecurity Professionals, Software Developers, and IT Forensics Experts are entrusted with safeguarding systems against evolving threats. A thorough understanding of Reverse Engineering empowers these professionals to proactively identify vulnerabilities, analyse malicious code, and fortify systems against potential cyber-attacks.

This 1-day training by the Knowledge Academy caters specifically to the needs of professionals aiming to delve into the realm of Reverse Engineering. Delivered by industry experts, the course provides a comprehensive overview of Reverse Engineering methodologies, tools, and practical applications.

Course Objectives:

  • To understand the principles and methodologies of Reverse Engineering
  • To gain proficiency in analysing and dissecting software and hardware components
  • To identify and assess security vulnerabilities in software applications
  • To learn techniques for reconstructing and understanding proprietary algorithms and protocols
  • To apply Reverse Engineering concepts to enhance cybersecurity measures
  • To practice hands-on exercises and real-world case studies in a controlled environment

Upon completion, delegates will emerge with the expertise to conduct systematic Reverse Engineering, enabling them to enhance the security of digital systems, unravel complex algorithms, and contribute effectively to cybersecurity initiatives in their professional roles.

 

 

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What’s included in this Reverse Engineering Training Course?

  • World-Class Training Sessions from Experienced Instructors  
  • Reverse Engineering Training Certificate
  • Digital Delegate Pack   

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Serverless Computing with Amazon Web Services Course Outline

Module 1 – Introduction to Serverless Computing

  • What is Serverless Computing?
  • Working of Serverless 
  • What are the Building Blocks of Serverless Computing?
  • Use Cases of Serverless Computing

Module 2 – AWS Services for Serverless

  • Storage Services
  • Compute Services
  • Database Services
  • Analytics Services
  • Developer Tooling

Module 3 – Serverless with AWS Lambda

  • Introduction to AWS Lambda
  • Lambda Functions
  • Testing and Debugging Lambda Function
  • Programming Lambda
  • Java
  • Python
  • C#

Module 4 – Services Model

  • BaaS (Backend as a Service)
  • FaaS (Function as a Service)

Module 5 – API Gateway for Serverless

  • Introduction to API Gateway
  • API Gateway Features
  • Request-Response Cycles
  • Integration with Lambda Functions 

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Who should attend this Serverless Computing with Amazon Web Services Course? 

The Serverless Computing with Amazon Web Services Training Course is designed for individuals who want to learn how to leverage serverless architecture using Amazon Web Services (AWS). This course is particularly beneficial for professionals such as:

  • Developers
  • Solution Architects
  • DevOps Engineers
  • Technical Managers
  • Web Developers
  • Data Engineers
  • Mobile App Developers

Prerequisites of the Serverless Computing with Amazon Web Services Course

There are no formal prerequisites for the Serverless Computing with Amazon Web Services Training Course.

Serverless Computing with Amazon Web Services Course Overview

This Serverless Computing with Amazon Web Services Course is a cornerstone of our Advanced Technology Courses, introduces delegates to the transformative realm of serverless computing using Amazon Web Services (AWS). As organisations increasingly migrate to cloud-based solutions, the course provides a comprehensive exploration of how serverless computing with AWS revolutionises traditional infrastructure models, offering unprecedented flexibility and efficiency.

In the contemporary tech landscape, understanding Serverless Computing with AWS is essential for professionals seeking to optimise resource utilisation, enhance scalability, and streamline development processes. This course is particularly relevant for Developers, System Architects, and IT professionals aiming to harness the advantages of serverless architecture.

This 1-day training by the Knowledge Academy empowers delegates with practical insights into Serverless Computing with AWS, covering key concepts such as AWS Lambda, API Gateway, and event-driven architecture. Delegates will gain proficiency in designing and deploying serverless applications, enabling them to leverage the full potential of AWS for efficient and cost-effective development.

Course Objectives:

  • To grasp the fundamentals of Serverless Computing and its advantages
  • To understand key AWS services, including AWS Lambda and API Gateway
  • To design and implement serverless applications using AWS
  • To explore event-driven architecture and its role in serverless computing
  • To optimise applications for cost efficiency and scalability
  • To gain hands-on experience through practical exercises and real-world scenarios

Upon completion, delegates will possess the skills to design, deploy, and manage serverless applications on AWS, enhancing their ability to create efficient, scalable, and cost-effective solutions in the ever-evolving landscape of cloud computing.

 

 

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What’s included in this Serverless Computing with Amazon Web Services Course?

  • World-Class Training Sessions from Experienced Instructors   
  • Serverless Computing with Amazon Web Services Certificate
  • Digital Delegate Pack   

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Virtual Reality (VR) Training​ Course Outline

Introduction to Virtual Reality

The Geometry of Virtual Worlds

  • Geometric Models
  • Changing Position and Orientation
  • Axis-Angle Representations of Rotation
  • Viewing Transformations
  • Chaining the Transformations

Light and Optics

  • Behaviour of Light
  • Lenses
  • Optical Anomalies
  • The Human Eye
  • Cameras
  • Displays

Human Vision Physiology

  • From the Cornea to Photoreceptors
  • From Photoreceptors to the Visual Cortex
  • Eye Movements
  • Implications for VR

Visual Perception

  • Depth, Motion, and Colour Perception
  • Combining Sources of Information

Visual Rendering

  • Ray Tracing and Shading Models
  • Rasterisation
  • Correcting Optical Distortions
  • Improving Frame Rates and Latency
  • Immersive Photos and Videos

Motion in Real and Virtual Worlds

  • Velocities and Accelerations
  • Virtual World Physics
  • Mismatched Motion and Vection

Tracking

  • Tracking 2D and 3D Orientation
  • Tracking Position and Orientation
  • Tracking Attached Bodies
  • Three-dimensional Scanning of Environments

Interaction

  • Motor Programs and Remapping
  • Locomotion and Manipulation
  • Social Interaction

Auditory Perception and Rendering

Evaluating VR Systems and Experiences

  • Perceptual Training
  • Comforts and VR Sickness
  • Experiments on Human Subjects

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Who should attend this Virtual Reality (VR) Training Course?

The Virtual Reality (VR) Course is a comprehensive training course designed to equip delegates with the knowledge and skills needed to create immersive virtual reality experiences. This VR Training is particularly beneficial for the following professionals:

  • VR Developers
  • Game Developers
  • Content Creators
  • Healthcare Professionals
  • Marketing and Advertising Professionals
  • Entrepreneurs
  • Educators

Prerequisites of the Virtual Reality (VR) Training Course

There are no formal prerequisites for the Virtual Reality (VR) Course. However, a basic understanding of 3D modelling and VR technologies can be beneficial.

Virtual Reality (VR) Training Course Overview

The VR Training Course is a cornerstone in our portfolio of Advanced Technology Courses, offering delegates an immersive journey into the dynamic realm of Virtual Reality and its profound impact on contemporary technology. Virtual Reality, a simulated experience that replicates or creates an artificial environment, is at the forefront of technological innovation, influencing industries ranging from entertainment and healthcare to education and design.

In the rapidly advancing digital era, a comprehensive understanding of Virtual Reality is essential for professionals seeking to revolutionise their respective fields. Designers, Developers, Educators, and professionals across diverse sectors stand to gain immensely by mastering VR, as it opens new avenues for creativity, engagement, and problem-solving in ways previously unimaginable.

This 1-day VR Training Course by the Knowledge Academy is designed to cater to the unique needs of professionals aspiring to harness the potential of Virtual Reality. Through interactive sessions, delegates will delve into the theoretical foundations of VR, exploring its practical applications and potential use cases across industries.

Course Objectives:

  • To comprehend the foundational principles and components of Virtual Reality
  • To explore the diverse applications of VR across industries, including design, gaming, and healthcare
  • To understand the design and development processes involved in creating immersive VR experiences
  • To gain practical skills in VR technology, including hardware and software utilisation
  • To analyse the impact of VR on user engagement and interaction in various context
  • To apply theoretical knowledge through hands-on exercises and case studies

Upon completion, delegates will be well-versed in the applications and practical aspects of VR, empowering them to contribute to innovative projects and stay ahead in the dynamic landscape of advanced technologies.

 

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What’s included in this Virtual Reality (VR) Training Course

  • World-class Training Sessions from Experienced Instructors
  • Virtual Reality (VR) Training Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Introduction to Nanotechnology​ Course Outline

Module 1: Introduction to Nanotechnology Concepts

  • What is Nanotechnology?
  • Approaching Nanotechnology
  • How Nano Changes Things?

Module 2: Building Blocks: Nanomaterials

  • Carbon-Based Materials
  • Runners-Up and Noncarbon Nanoparticles
  • Searching for Nanoparticles

Module 3: Nano Tools

  • Viewing Things at the Nano Level
  • Manipulating Atoms and Molecules
  • Nanorobots
  • Creating Nano-Sized Features on Computer Chips

Module 4: Putting Nanotechnology to Work

  • Changing the Size of Things
  • Modifying Material Properties
  • Customising the Structure of Coatings and Films
  • Self-Assembly: Getting Nanoparticles to Make Their Own Arrangements
  • Mechanosynthesis NEMs to Work with Nanoscale Gadgets
  • Integrating Nanoparticles into Materials

Module 5: Nanoscale Electronics

  • Working with Computer Chips
  • Improving Your Memory
  • Connecting with Light
  • Improving Displays
  • Detecting All Kinds of Things with Nanosensors

Module 6: Saving Energy with Nano

  • Exploring the Big Three of Energy
  • Generating Energy More Cheaply
  • Improving Energy Distribution
  • Storing Energy More Efficiently

Module 7: Improving the Environment

  • Cleaning the Air with Nanomaterials
  • Cleaning Water

Module 8: Nano Ethics, Safety, and Regulations

  • Addressing Ethical Dilemmas
  • Getting a Handle on Safety Issues
  • Scanning the Regulatory Landscape

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Who should attend this Nanotechnology Training Course?

The Nanotechnology Course is designed to provide delegates with an overview of the fascinating world of nanotechnology and its applications. This course is tailored for individuals who want to gain a foundational understanding of Nanotechnology and its potential impact across various industries. The course is useful for the following professionals:

  • Scientists and Researchers
  • Medical Professionals
  • Manufacturing EngineersEntrepreneurs
  • Information Technology and Electronics Professionals
  • Environmental Scientists
  • Biotechnology Professionals

Prerequisites of the Nanotechnology Training Course

There are no formal prerequisites for the Nanotechnology Course. However, a basic understanding of material sciences and nanomaterials can be beneficial.

 

Nanotechnology Training Course Overview

Nanotechnology is the study of structures between 1 nanometre and 100 nanometres in size. It is a multidisciplinary science looking at how to manipulate matter at the atomic and molecular levels. It comprises making products that use small parts like catalysts, electronic devices, sensors, etc. This course is designed to provide knowledge of Nanotechnology and how it is applied to different applications and processes.

Professionals in fields such as Materials Science, Medicine, Engineering, and Electronics stand to gain by mastering Nanotechnology. Understanding this field is crucial for innovators and researchers seeking to harness the unique properties of materials at the nanoscale for groundbreaking advancements.

The 1-day Nanotechnology Training by the Knowledge Academy is designed to equip delegates with a foundational understanding of Nanotechnology's principles and applications. Through a blend of theoretical insights and practical demonstrations, delegates will gain the knowledge necessary to integrate Nanotechnology concepts into their respective fields.

Course Objectives:

  • To grasp the fundamentals of Nanotechnology and its interdisciplinary nature
  • To understand the principles of nanomaterials and their unique properties
  • To explore various fabrication techniques for nanodevices and structures
  • To examine the applications of Nanotechnology in medicine, electronics, and materials science
  • To engage in hands-on sessions to apply theoretical knowledge to practical scenarios
  • To foster a comprehensive understanding of the ethical and safety considerations in Nanotechnology

Upon completion of the Nanotechnology Training Course, delegates will emerge with a heightened ability to integrate Nanotechnology into their respective fields, positioning themselves as adept contributors to the ongoing advancements in technology.

 

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What’s included in this Introduction to Nanotechnology Training Course

  • World-class Training Sessions from Experienced Instructors
  • Introduction to Nanotechnology Training Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Digital Twin Training​ Course Outline

Module 1: Introduction to Digital Twin

  • What is Digital Twin?
  • Digital Uses and Benefits
  • Need for Digital Twins
  • How Digital Twin Works?

Module 2: Digital Twin-Digital Thread and Digital Shadow

  • What is the Digital Thread?
  • Where Did the Digital Thread Come from?
  • Digital Thread Provides a Framework for Communication
  • Benefits of the Digital Thread

Module 3: Digital Twin Building Blocks

  • Building Blocks of Digital Twin
  • Digital Twin Technology Drivers and Enablers
    • Physics-Based Modelling
    • Data-Driven Modelling
    • Big Data Cybernetics: Art of Steering
    • Infrastructure and Platforms
    • Human-Machine Interface

Module 4: Types of Digital Twin

  • Based on Product and Process
  • Based on Functionality
  • Based on Maturity

Module 5: Development Considerations

  • Overview of Data
  • Modelling Environment

Module 6: Model and Data Management

  • Introduction to Model

Module 7: Digital Twin-Industrial Possibilities

  • Digital Twin in Manufacturing
  • Digital Twin in Automotive
  • Digital Twin in Healthcare
  • Digital Twin in Utilities
  • Digital Twin in Construction

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Who should attend this Digital Twin Course?

The Digital Twin Training Course  is comprehensively designed to provide delegates with the knowledge and skills needed to understand, create, and utilise Digital Twin technology. The course is useful for the following professionals:

  • Engineers and Designers
  • Manufacturing Professionals
  • Internet of Things (IoT) Developers
  • Architects and Urban Planners
  • Maintenance and Operations Experts
  • Healthcare Professionals
  • Supply Chain Managers

Prerequisites of the Digital Twin Course

There are no formal prerequisites for the Digital Twin Training Course . However, a basic understanding of data integration and real-time monitoring and simulation can be beneficial.

Digital Twin Course Overview

The Digital Twin Course  is an essential component of our Advanced Technology Courses, offering insights into the innovative concept of Digital Twins and their relevance in today's technological landscape. Digital Twins, virtual replicas of physical objects or systems, play a pivotal role in industries such as manufacturing, healthcare, and urban planning.

Understanding the intricacies of Digital Twins is crucial for professionals in fields like industrial engineering, data science, and IoT development, as it enables them to leverage this transformative technology for enhanced efficiency and decision-making. Mastery of this subject empowers professionals to create and manage digital twins, optimising processes and fostering innovation in their respective domains.

In this 1-day training provided by the Knowledge Academy, delegates will gain practical knowledge and skills to create and implement Digital Twins. The course covers foundational concepts, tools, and methodologies, ensuring delegates leave with the capability to integrate digital twin technology into their work seamlessly.

Course Objectives:

  • To grasp the fundamental principles and applications of Digital Twins
  • To acquire hands-on experience in creating and managing Digital Twins
  • To understand the integration of Digital Twins in diverse industries, from manufacturing to healthcare
  • To explore tools and technologies for developing and analysing Digital Twins
  • To gain insights into the potential of Digital Twins for predictive maintenance and performance optimisation
  • To apply Digital Twin concepts to real-world scenarios through practical exercises

Upon completion, delegates will possess the expertise to strategically implement and leverage Digital Twins, enhancing their problem-solving capabilities and contributing to advancements in their respective fields. This proficiency positions them as valuable assets in a tech-driven landscape.

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What’s included in this Digital Twin Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Digital Twin Training Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Sensor and Data Fusion Training Course Outline

Module 1: Introduction to Data Fusion

  • What is Data Fusion?
  • Data Fusion Application
  • Advantages of Data Fusion

Module 2: Multiple Sensor System Applications and Design Considerations

  • Selection of Sensors
  • Fog Characterisation
  • Operating Frequency Effect on MMW Sensor Performance
  • Absorption and Backscatter of MMW
  • Visibility Metrics

Module 3: Data Fusion Algorithms and Architectures

  • Processing Levels
  • Data Fusion Processor Functions
  • Introduction to Architecture
  • Data Fusion Architectures

Module 4: Classical Inference

  • Estimating Population Statistics
  • Interpreting Confidence Interval
  • Significance Test for Hypotheses
  • Z-Test and T-Test for Population Mean

Module 5: Bayesian Inference

  • Overview
  • Bayes’ Rule
  • Applying Bayesian Inference to Fusion Information from Multiple Sources
  • Combine Multiple Sensor Information
  • Recursive Bayesian Updating
  • Posterior Calculation

Module 6: Dempster-Shafer Evidential Theory

  • Process Overview
  • Method Implementation
  • Dempster’s Rule for the Combination of Multiple Sensor Data
  • Dempster Shafer vs Bayesian Decision

Module 7: Artificial Neural Networks

  • Applying Artificial Neural Networks
  • Linear and Nonlinear Classifiers
  • Supervised and Unsupervised Learning
  • Supervised Learning Rules

Module 8: Voting Logic Fusion

  • Sensor Target Reports
  • Sensor Detection Space
  • System Detection Probability
  • Hardware Implementation of Voting Logic Sensor Fusion

Module 9: Fuzzy Logic and Fuzzy Neural Networks

  • Fuzzy System Elements
  • Fuzzy Logic Processing
  • Fuzzy Centroid Calculation
  • Balance Inverted Pendulum with Fuzzy Logic Control
  • Applying Fuzzy Logic to Multitarget Tracking
  • Fuzzy Neural Networks

Module 10: Passive Data Association Techniques

  • Data Fusion Options
  • Received Signal Fusion
  • Angle Data Fusion
  • Decentralised Fusion Architecture

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Who should attend this Sensor and Data Fusion Training Course?

The Sensor and Data Fusion Course is a comprehensive course designed to equip delegates with the knowledge and skills needed to understand and implement sensor fusion techniques for integrating and interpreting data from multiple sources. The course is useful for the following professionals:

  • Data Scientists
  • Researchers
  • Autonomous Vehicle Developers
  • Robotics Experts
  • Internet of Things Professionals
  • Environmental Monitoring Experts
  • Aerospace and Aviation Professionals

Prerequisites of the Sensor and Data Fusion Training Course

There are no formal prerequisites for the Sensor and Data Fusion Course. However, a basic understanding of sensors and reading sensor data can be beneficial.

Sensor and Data Fusion Training Course Overview

This Sensor and Data Fusion Course is designed to equip delegates with the knowledge of sensor fusion and sensor fusion application scenario limiting sensor size. Delegates will learn about the effects of operating wavelength on IR sensor performance. In addition, delegates will gain knowledge of how to estimate the statistics of the population.

Professionals in fields such as aerospace, defense, and autonomous systems must master Sensor and Data Fusion to optimise information processing and achieve more accurate and reliable results. This course helps delegates understand topics like linear and non-linear classifiers in detail.

This 1-day training by the Knowledge Academy equips delegates with the skills to effectively integrate data from diverse sensors, enhancing their ability to make informed decisions in complex scenarios. Delegates will gain practical insights into sensor fusion techniques, enabling them to apply these methods in their respective industries.

Course Objectives:

  • To understand the principles and concepts of Sensor and Data Fusion
  • To explore various sensor technologies and their integration methods
  • To analyse real-world applications and case studies of successful sensor fusion
  • To gain hands-on experience in implementing sensor fusion techniques
  • To evaluate challenges and solutions in the field of sensor integration
  • To apply acquired knowledge to enhance decision-making processes in specific industries

Upon completion, delegates will possess a comprehensive skill set in Sensor and Data Fusion, enabling them to improve the efficiency and accuracy of decision-making in their professional roles, ultimately contributing to the success of their organisations.

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What’s included in this Sensor and Data Fusion Training Course

  • World-class Training Sessions from Experienced Instructors
  • Sensor and Data Fusion Training Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Satellite Communication Training​ Course Outline

Module 1: Fundamentals of Satellite Systems

  • Introduction
  • Characteristics of Satellites
  • System Elements
  • Satellite Orbit Configurations
  • Frequency Spectrum Allocations

Module 2: Satellite Network Architectures

  • Introduction
  • Satellite Network Features
  • Point-to-Multipoint Networks
  • Point-to-Point Networks
  • VSAT (Very Small Aperture Terminal) Networks

Module 3: Microwave Link Engineering

  • Introduction to Microwave Link Engineering
  • Overview of Decibel
  • Propagation on the Earth-Space Link
  • Microwave Transmitters and Receivers

Module 4: Modulation, Multiple Access, and Impairments

  • Introduction
  • Digital Modulation
  • Multiple Access (MA) Methods
  • Distortion and Impairments

Module 5: Introduction to Spacecraft and Repeater

  • What is Spacecraft and Repeater?
  • Communications Spacecraft
  • Analog Bent-Pipe Repeaters
  • Digital Processing Repeaters

Module 6: Exploring Spacecraft Antennas

  • Introduction to Exploring Spacecraft Antennas
  • Horn and Reflector Antennas
  • Antenna Patterns
  • Direct Radiating Array Antennas

Module 7: Spacecraft Mission and Bus Subsystems

  • Overview of Spacecraft Mission and Bus Subsystems
  • Spacecraft Configuration
  • Spacecraft Bus Subsystem

Module 8: Earth Stations and Network Technology

  • Earth Stations
  • Network Technology
  • Earth Station Configuration
  • Intermediate Frequency and Baseband Equipment
  • Tail Links and Terrestrial Interface

Module 9: Exploring Launch Vehicles and Services

  • Launch Technology and Systems
  • Launch Vehicles
  • Risk Management in Launch and Operation

Module 10: Satellite Operations and Organisations

  • Satellite Operations
  • Satellite Organisations
  • Satellite Control System

Module 11: Satellite Systems Engineering and Economics

  • Principles of Satellite Systems
  • System Development Methodology
  • Space Segment and Earth Station Economics

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Who should attend this Satellite Communication Course?

The Satellite Communication Training is a comprehensive course designed to provide delegates with the knowledge and skills needed to understand, design, and manage satellite communication systems. The course is useful for the following professionals:

  • Remote Sensing Specialists
  • Military and Defence Personnel
  • Aerospace Engineers
  • Network Engineers
  • Telecommunication Specialists
  • Broadcasting and Media Professionals
  • Aviation and Maritime Specialists

Prerequisites of the Satellite Communication Course

There are no formal prerequisites for the Satellite Communication Training. However, a basic understanding of satellite communication and communication links can be beneficial.

Satellite Communication Course Overview

Satellites are specifically made for telecommunication. Satellites can be used for mobile applications such as communication to planes, vehicles, ships, hand-held terminals and radio and TV broadcasting. This Satellite Communication Course is a cornerstone in our array of Advanced Technology Courses and explores the realm of satellite communication and its pivotal role in modern connectivity.

In the rapidly evolving landscape of communication, understanding Satellite Communication is paramount. This course is essential for professionals in telecommunications, broadcasting, and aerospace industries, equipping them with the skills to navigate the complexities of satellite systems and enhance their career prospects.

In this 1-day training by the Knowledge Academy, delegates will delve into the intricacies of Satellite Communication, gaining insights into satellite technology, orbital mechanics, and system design. This comprehensive course ensures that delegates emerge with the expertise needed to design, implement, and troubleshoot satellite communication systems effectively.

Course Objectives:

  • To comprehend the fundamentals of Satellite Communication technology
  • To explore the principles of orbital mechanics and satellite system architecture
  • To understand the various applications of Satellite Communication in different industries
  • To gain practical skills in designing and configuring Satellite Communication systems
  • To troubleshoot common issues and optimise the performance of satellite networks
  • To assess the regulatory and ethical considerations in Satellite Communication deployment

Upon completion, delegates will be well-versed in the nuances of Satellite Communication, enabling them to contribute significantly to the design, implementation, and maintenance of satellite systems.

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What’s included in this Satellite Communication Training Course

  • World-class Training Sessions from Experienced Instructors
  • Satellite Communication Training Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

LTE Fundamentals Training Course Outline

Module 1: Introduction to LTE

  • Define LTE
  • LTE Standardisation
  • 3GPP (3rd Generation Partnership Project)
  • IMT-Advanced Process
  • Challenges of LTE
  • LTE Services and Applications

Module 2: Overview of LTE Architecture

  • LTE OFDM Technology
  • Basics of FDD, TDD
  • LTE Parameters
  • E-UTRAN - Radio Access Subsystem
  • Macrocells, Microcells, and Femtocells
  • LTE Network Elements, Roaming Architecture, and LTE Network Mobility Management
  • IMS Role in LTE/EPC
  • Video Over LTE (ViLTE) and Voice Over LTE (VoLTE)
  • SIM, USIM, and ISIM

Module 3: LTE Network Deployment Considerations

  • LTE Radio Network
  • Transport Network
  • LTE/EPC Core Network

Module 4: Exploring LTE Radio Technology

  • Evolved UTRAN
  • OFDM and SC-FDMA
  • LTE Channel: Bandwidths and Characteristics
  • Introduction to MIMO

Module 5: Working with LTE Flat IP Core Network

  • Fixed Mobile Convergence
  • IP Multimedia Subsystem (IMS) and Session Initiation Protocol (SIP)
  • Components and Interfaces of IMS
  • Evolved Packet System in GPP Standards
  • Policy and Charging Rules Function
  • Enhanced Voice Quality
  • Circuit-Switched Fallback (CSFB)
  • Simultaneous Voice and LTE (SVLTE)
  • Over-the-Top (OTT) Applications

Module 6: Overview of LTE Protocols and Procedures

  • LTE RAN Protocols and Procedures
  • Mobility and QoS in LTE
  • LTE Systems Radio Access Network Architecture
  • Policy and Charging
  • LTE Security and LTE EPC Security
  • SIM Card Physical Interface

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Who should attend this LTE Fundamentals Training Course?

The LTE Fundamentals Training Course is comprehensively designed to provide delegates with a foundational understanding of LTE technology, its principles, and its applications. The course is useful for the following professionals:

  • Telecommunication Engineers
  • Network Engineers
  • Wireless Communication Experts
  • Telecom Managers
  • Researchers and Educators
  • Mobile App Developers
  • Network Planners

Prerequisites of the LTE Fundamentals Training Course

There are no formal prerequisites for the LTE Fundamentals Course. However, a basic understanding of LTE technology and its architecture can be beneficial.

LTE Fundamentals Training Course Overview

The LTE Fundamentals Training Course, a cornerstone in our suite of Advanced Technology Courses, provides a comprehensive exploration of Long-Term Evolution (LTE) technology, a pivotal element in modern wireless communication systems. As the backbone of 4G networks, LTE plays a crucial role in delivering high-speed data and low-latency communication, and supporting the growing demands of mobile connectivity, making it an indispensable area of expertise for technology professionals.

For professionals in telecommunications, network engineering, and IT, understanding LTE is crucial to navigating the evolving landscape of wireless technology. Mastering LTE enables professionals to optimise network performance, enhance data transfer speeds, and contribute to the seamless connectivity essential for today's digital ecosystem.

In this 1-day training by the Knowledge Academy, delegates will gain a profound understanding of LTE fundamentals, covering key concepts such as architecture, protocols, and deployment strategies. The course equips delegates with the knowledge and practical skills needed to deploy and manage LTE networks efficiently.

Course Objectives:

  • To comprehend the fundamental principles and architecture of LTE technology
  • To explore the key protocols and technologies that underpin LTE networks
  • To understand the practical aspects of LTE deployment, optimisation, and troubleshooting
  • To gain insights into LTE's role in 4G and 5G networks
  • To evaluate security considerations and implement best practices in LTE networks
  • To apply theoretical knowledge through hands-on exercises and case studies

Upon completion, delegates will emerge with a solid foundation in LTE technology, empowering them to contribute effectively to the design, implementation, and optimisation of LTE networks. This newfound expertise positions delegates as valuable assets in the ever-evolving landscape of wireless communication.

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What’s included in this LTE Fundamentals Training Course

  • World-class Training Sessions from Experienced Instructors
  • LTE Fundamentals Training Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

Internet of Things IoT Systems and Applications Training​ Course Outline

Module 1: Introduction to Internet of Things

  • Introduction
  • Technological Trends and Future Opportunities
  • IOT and Business Scope Evolution
  • Business Perspectives
  • Embedded Systems Relationship
  • Challenges of Internet of Things (IOT)
  • Characteristics of IOT
  • IOT Life Cycle
  • Physical Design of IOT
  • IOT Conceptual Architecture
  • IOT Communication Protocols
  • Levels of the Internet of Things
  • Architecture of the Internet of Things
  • Advantages of IOT
  • IOT Disadvantages

Module 2: Smart Objects

  • Smarts Objects in IOT
  • Things in the Internet of Things (IOT)
  • IOT For Logistics: Packages and Containers as “Things” Connected to the Internet
  • Classification of Smart Objects
  • Wireless Sensor Network in IOT
  • Communications Criteria

Module 3: IOT Layers

  • Networking Standards and Technologies in IOT
  • IOT Networking Protocols
  • Introduction of 5g Networks in IOT
  • IOT Networking Considerations and Challenges
  • Business Case for the Internet of Things
  • Network Optimisation for IOT Devices
  • Transport Layer Protocols
  • Network Layer Protocols
  • IOT Communication Challenges
  • Providing Solid IOT Quality of Experience
  • Application Protocols for IOT

Module 4: Data Analytics and Supporting Services

  • Introduction
  • IOT Data Analytics Challenges
  • IOT Network Analytics Applications
  • Intelligence in Business
  • Gathering Software for Events
  • Computing for IOT/M2m
  • Applications/Services Using a Cloud Platform
  • Cloud Computing Trends
  • Cloud Platform Services
  • Cloud Deployment Models

Module 5: IOT Physical Devices and Endpoints

  • Introduction
  • IOT Building Blocks
  • IOT Works
  • IOT Architecture Layers
  • Exemplary Device: Raspberry Pi

Module 6: IOT Physical Servers and Cloud Offerings

  • Introduction to Cloud Computing
  • Characteristics
  • Service and Deployment
  • Cloud Storage API
  • IOT / Cloud Convergence
  • WAMP for IOT
  • Amazon Ec2 – Python Example
  • Python for MapReduce
  • Python Web Application Framework -Django

Module 7: Industrial Internet of Things (IIOT)

  • Introduction
  • Evolution of IIOT
  • Advantages of Industrial IOT
  • Drivers of IIOT
  • Risks Associated with IIOT Systems
  • Businesses and Industries Approach IIOT Security
  • Applications of IIOT
  • Work Flow of IIOT
  • Security Considerations and Challenges when Adopting IIOT
  • Companies Can Implement IIOT Intelligently
  • Industrial Internet of Things Use Cases

Module 8: IOT Applications and Case Studies

  • IOT Applications
  • IOT Consumer Applications
  • IOT Applications in Agriculture
  • IOT Applications in Media, Marketing, and Advertising
  • Application of IOT In Education
  • Government Applications
  • IOT Environmental Monitoring
  • Transportation and The Internet of Things (IOT)
  • IOT Applications in Healthcare
  • IOT Law Enforcement Applications

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Who should attend this Internet of Things Course?

The Internet of Things Training Course is designed to cater to a wide range of individuals who are interested in gaining expertise in IoT technologies.

The professionals who will benefit from this training are:

  • Software Developers
  • Network Engineers
  • Product Managers
  • Data Scientists
  • Cybersecurity Specialists
  • Regulatory Compliance Managers
  • Operations Managers

Prerequisites of the Internet of Things Course

There are no formal prerequisites for attending this Internet of Things Training Course. However, it is advisable for delegates to have a basic understanding of computer networking, programming languages like Python or C, and elementary data analysis concepts before pursuing the course.

Internet of Things IoT Course Overview

The Internet of Things Training Course delves into the relevance of IoT in our interconnected world. As a key aspect of Advanced Technology Training Courses, it addresses the increasing integration of devices and the impact on various industries.

Professionals in IT, engineering, and data science benefit significantly by mastering IoT. This course is essential for staying current in the rapidly evolving tech landscape, enabling professionals to contribute meaningfully to their fields.

In this 2-day IOT Training by the Knowledge Academy, delegates gain practical insights into IoT architecture, protocols, and applications. They learn to design and implement secure IoT systems, exploring real-world case studies and engaging in hands-on exercises. Upon completion, delegates emerge with the expertise to navigate and contribute to the expanding realm of IoT, enhancing their value in today's dynamic job market.

Course Objectives:

  • To provide a comprehensive understanding of IoT architecture, protocols, and applications
  • To empower professionals with practical skills in designing and implementing IoT systems
  • To explore security considerations and best practices in IoT deployment
  • To examine real-world case studies showcasing successful IoT implementations
  • To foster collaboration and networking among professionals interested in IoT
  • To offer hands-on experience through practical exercises and simulations

Upon completion, delegates will possess the expertise to design, implement, and secure IoT systems, positioning themselves as valuable assets in the ever-evolving tech landscape. They will be equipped to drive innovation and contribute to the successful integration of IoT technologies in their respective industries.

 

 

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What’s included in this Internet of Things IoT Systems and Applications Training?

  • World-Class Training Sessions from Experienced Instructors
  • Internet of Things IoT Systems and Applications Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

Security and Privacy in Internet of Things (IoT) Training Course Outline

Module 1: Introduction to IoT Security and Privacy

  • Overview of IoT and Its Significance
  • IoT Architecture and Components
  • Need for Security and Privacy
  • Challenges and Vulnerabilities in IoT
  • Ethical Considerations

Module 2: Fundamentals of IoT Security

  • Authentication and Authorisation in IoT
  • Encryption and Data Protection
  • Secure Boot and Firmware Updates
  • Device Identity Management
  • Best Practices in IoT Security

Module 3: IoT Networking and Communication Security

  • IoT Protocols and Communication Standards
  • Securing IoT Communication
    • MQTT
    • CoAP
    • HTTP
  • Network Segmentation and Isolation
  • Protecting Data in Transit and at Rest
  • Intrusion Detection Systems for IoT

Module 4: IoT Device Security

  • Secure Hardware Design for IoT Devices
  • Trusted Platform Modules (TPM)
  • Securing Sensors and Actuators
  • Protecting Edge Devices
  • Security of IoT Gateways

Module 5: Privacy in IoT

  • IoT Data Privacy Regulations
  • Privacy by Design Principles
  • Data Minimisation and Anonymisation
  • Consent Management in IoT
  • Privacy Impact Assessments

Module 6: IoT Cloud Security

  • IoT Cloud Platforms and Services
  • Identity and Access Management
  • Securing IoT Data in the Cloud
  • Data Encryption in Cloud Storage
  • API Security in IoT Cloud Services

Module 7: IoT Application Security

  • Securing IoT Applications and Dashboards
  • Threat Modeling for IoT Applications
  • Implementing Secure Coding Practices
  • Vulnerability Assessment and Penetration Testing
  • Secure Remote Monitoring and Control

Module 8: IoT Security Best Practices

  • Security Policy Development for IoT
  • Security Incident Response in IoT
  • Supply Chain Security for IoT Devices
  • Managing IoT Device Lifecycle
  • Security Awareness and Training

Module 9: IoT Security Standards

  • Overview of IoT Security Standards
  • Industry-specific IoT Security Guidelines
  • Compliance and Auditing in IoT Security

Module 10: IoT Risk Assessment and Management

  • Identifying IoT Security Risks
  • Risk Assessment Frameworks
  • Developing an IoT Risk Management Plan
  • Risk Mitigation Strategies
  • Incident Response and Recovery Planning

Module 11: IoT Security Testing and Assessment

  • Security Testing Tools for IoT
  • Penetration Testing for IoT Devices
  • Vulnerability Scanning and Assessment
  • Security Assessments for IoT Networks
  • Reporting and Remediation

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Who should attend this Security and Privacy in Internet of Things (IoT) Training Course?

The Security and Privacy in Internet of Things (IoT) Training Course is tailored for professionals seeking to enhance their understanding of IoT security and privacy considerations. This training is beneficial for a diverse range of roles within the tech and cybersecurity fields, including:

  • IoT Security Specialists
  • Cybersecurity Analysts
  • IT Managers
  • Data Privacy Officers
  • Network Engineers
  • Application Developers
  • System Architects
  • Privacy Advocates

Prerequisites of the Security and Privacy in Internet of Things (IoT) Training Course

There are no formal prerequisites required for the Security and Privacy in Internet of Things (IoT) Training Course. However, a basic knowledge of IoT concepts and basic cybersecurity principles would be beneficial.

Security and Privacy in Internet of Things (IoT) Training Course Overview

This course offers a deep dive into the intricate landscape of securing IoT ecosystems in today's interconnected world. As IoT devices become ubiquitous in various industries, understanding the unique challenges and vulnerabilities they present is paramount. This IoT Security Course aims to equip delegates with the knowledge and skills needed to address security and privacy concerns effectively, ensuring the integrity of IoT networks.

In the fast-evolving digital landscape, knowledge of Security and Privacy in IoT is not just beneficial but a prerequisite for professionals. Cybersecurity Experts, IT Professionals, and System Architects should prioritise mastering this subject to navigate the complexities of safeguarding interconnected systems.

The 2-day training by the Knowledge Academy is meticulously crafted to meet the needs of professionals seeking to fortify their expertise in IoT security and privacy. Delegates will gain insights into the latest encryption and authentication techniques, identity management strategies, and best practices for securing communication between IoT devices.

Course Objectives:

  • To comprehend the unique security challenges posed by IoT environments
  • To explore encryption and authentication techniques for securing IoT devices
  • To understand the role of identity management in enhancing IoT security
  • To learn best practices for securing communication between IoT devices
  • To implement security measures to protect against unauthorised access and data breaches in IoT
  • To develop strategies for ensuring privacy and compliance with regulations in IoT deployments

Upon completion, delegates will be equipped with the knowledge and skills to navigate the complex landscape of IoT security, making them instrumental in fortifying the integrity of interconnected systems and enhancing their professional standing in the field.

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What’s Included in this Security and Privacy in Internet of Things (IoT) Training?

  • World-Class Training Sessions from Experienced Instructors
  • Security And Privacy in Internet of Things (IoT) Certificate
  • Digital Delegate Pack

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Not sure which course to choose?

Speak to a training expert for advice if you are unsure of what course is right for you. Give us a call on +64 98874342 or Enquire.

Advanced Technologies Courses FAQs

Advanced Technology refers to highly developed and cutting-edge innovations and systems that represent the latest achievements in science and engineering, often characterised by increased efficiency, improved functionality, and groundbreaking solutions.
Advanced Technology is crucial in our lives as it facilitates enhanced communication, streamlines processes, fosters innovation across various industries, and significantly improves the quality of life through automation, accessibility, and efficiency gains.
An Advanced Technology Qualification provides individuals with the opportunity to stay ahead of technological advancements, gain specialised skills, boost career prospects, contribute to innovation, and navigate the complex challenges posed by the rapidly evolving technological landscape.
There are no formal prerequisites to attend Advanced Technology Training.
After completing these courses, individuals can pursue diverse job opportunities, including roles such as Network Engineers, Telecommunications Specialists, IT Professionals, or Technology Consultants, with potential career paths in areas like 5G implementation, network management, and innovation in wireless technology.
The Knowledge Academy is the Leading global training provider for Advanced Technologies Courses.
The training fees for Advanced Technologies Courses in New Zealand starts from NZD4995.
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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

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