close

close

Thank you for your enquiry!

One of our training experts will be in touch shortly to go over your training requirements.

close

close

Press esc to close

close close

Back to course information

Thank you for your enquiry!

One of our training experts will be in touch shortly to go overy your training requirements.

close close

Thank you for your enquiry!

One of our training experts will be in touch shortly to go over your training requirements.

Advanced Technologies Courses

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

Show moredown

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

5G (5th Generation) is the latest generation of cellular mobile communications after 4G. It provides high data rate, energy saving, higher system capacity, reduced latency, and large-scale device connectivity. 5G can support up to a million devices per square kilometre.

This 5G Wireless Training course provides knowledge of 5G architecture, 5G Internet including network reconfiguration and virtualisation support, and mobility and quality of service control. Delegates will gain an in-depth understanding of small cells for 5G, mobile clouds, cognitive radio technology, and white spaces. On completion of this course, delegates will also be familiarised with the basics of 5G communication security.

Show moredown

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

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

Show moredown

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

 

Show moredown

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

The Building Chatbots with Alexa Skills and Amazon Lex 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 Course.

Building Chatbots with Alexa Skills and Amazon Lex Course Overview

Amazon Lex is an AWS service to build conversational interfaces for applications using text and voice. It offers deep functionality and flexibility for automatic speech recognition (ASR) and natural language understanding (NLU).

This Building Chatbots with Alexa Skills and Amazon Lex training course is designed to provide knowledge of Chatbot development with Alexa Skills and Amazon Lex. Delegates will learn how to set up a local environment and the AWS Command Line Interface (CLI). In addition, they will also learn to develop Lex Chatbots and Alexa Skills using Lambda functions.

Delegates will acquire knowledge on how to publish a Lex Chatbot to Facebook Messenger, Twilio SMS, and Slack. On completion of this training, delegates will know how to create voice and messaging Chatbots using Amazon.

Show moredown

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

Show moredown

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

Show moredown

Who should attend this Introduction to Virtualisation Technologies Course?

The Introduction to Virtualisation Technologies 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 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 Introduction to Virtualisation Technologies course is designed to provide knowledge of virtualisation technologies. Delegates will learn how to install Hyper-V and create a virtual machine with Hyper-V.

During this course, delegates will gain knowledge of how to allocate processors and memory to a VM by using VMware Workstation, and be familiarised with VirtualBox and OpenStack. By the completion of this course, delegates will understand different file systems and will be able to troubleshoot network communication.

Show moredown

 

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

Show moredown

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

Show moredown

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 Training Course.

Conda Training Course Overview

Conda is an open source package and environment management system for software written in any programming language. It is written in the Python programming language, but it can also manage projects with code written in other languages. It can also be combined with other continuous integration systems for providing frequent and automated testing of code.

This Conda Training aims to provide delegates with knowledge regarding the workings of Conda. Delegates will learn the procedure of installing and configuring Conda. Furthermore, they will be familiarised with the various concepts of Conda and learn how to troubleshoot Conda.

 

Show moredown

What’s included in this Conda Training Course?

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

Show moredown

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 Alogrithm?
  • 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

Show moredown

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 Training 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 on Quantum mechanics and practical applications of Quantum computing. Delegates will learn about classical circuits and quantum circuits. In addition, delegates will understand the concept of Quantum parallelism and Quantum algorithm. Delegates will explore Simon’s algorithm as well as the Shor’s factoring algorithm.

During this 1-day training course, 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.

Show moredown

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

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

Show moredown

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

Show moredown

Who should attend this Introduction to Nanotechnology Training Course?

The Introduction to Nanotechnology Training is designed to provide participants 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
  • Material Scientists
  • Entrepreneurs
  • Information Technology and Electronics Professionals
  • Environmental Scientists
  • Biotechnology Professionals

Prerequisites of the Introduction to Nanotechnology Training Course

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

Introduction to Nanotechnology​ Course Overview

Nanotechnology is the study of structures between 1 nanometer and 100 nanometers in size. It is a multidisciplinary science looking at how to manipulate matter at the atomic and molecular level. 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.

In this Introduction to Nanotechnology course, delegates will learn about the structure and synthesis of carbon nanotubes. Delegates will also get an understanding of various stamping techniques for micro and nanofabrication. In addition, they will gain knowledge of MEMS and NEMS devices and applications.

During this 1-day training, delegates will acquire knowledge of therapeutic nanodevices and nanotherapeutic devices applications. Delegates will learn how to scan tunneling Microscopy and spectroscopy, force microscopy and spectroscopy. Furthermore, they will be introduced to other essential concepts such as dynamic force microscopy and molecular recognition force microscopy. Post completion of this course, delegates will be able to scan probe studies of nanoscale adhesion between solids in the presence of liquids and monolayer films.

Show moredown

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

Show moredown

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 Optimization 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

Show moredown

Who should attend this Internet of Things IoT Systems and Applications Training?

The Internet of Things (IoT) Systems and Applications Training 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 IoT Systems and Applications Training

Before taking up the Internet of Things IoT Systems and Applications Course, it is advisable to have a basic understanding of computer networking, programming languages like Python or C, and elementary data analysis concepts. Previous experience with hardware platforms such as Arduino or Raspberry Pi can also be beneficial but it’s not mandatory.

Internet of Things IoT Systems and Applications Training​ Course Overview

The Internet of Things (IoT) is a network of physical objects or things embedded with sensors, software, and other technologies for connecting and exchanging data with other devices and systems via the internet. IoT enables businesses to automate processes, reduce labour costs, reduce waste, improve service delivery, and reduce the cost of manufacturing and delivering goods while also providing transparency into customer transactions. It helps individuals to improve business management, increase productivity and efficiency of business operations, and create new business models and revenue streams. This Internet of Things (IoT) Systems and Applications training course will assist learners in developing and maintaining IoT applications and systems using IoT technologies.

In this 2-day Internet of Things (IoT) Systems and Applications Training, delegates will learn how to design and program modern connected electronic systems based on commodity smartphones and sensor networks with IoT technologies. During this training, delegates will learn various concepts such as introduction to IoT systems, IoT standards, big data in IoT systems, basic networking techniques, wide-area wireless network for IoT application, low-power design consideration for IoT sensors, etc. Our highly professional trainer with years of experience in teaching advanced technology courses will conduct this training and help delegates gain the application scope of IoT.

Delegates will cover various topics such as:

  • Overview of IoT application
  • Big data in IoT system
  • Basic networking techniques
  • IoT hardware platform
  • New product development and UCS

At the end of this training, delegates will be able to apply the IoT architecture and technologies they need to deploy large scale IoT ecosystems with an organisation. They will also be able to effectively deploy and manage IoT applications and platforms with an organisation.

Show moredown

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

Show moredown

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

Show moredown

Who should attend this Satellite Communication Training Course?

The Satellite Communication Training is a comprehensive course designed to provide participants 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 Training 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 Training​ 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. Satellites provide these services to an assigned area on the Earth. This Satellite Communication Training course is designed to provide knowledge of the fundamentals of satellite systems.

The Knowledge Academy’s Satellite Communication Training, delegates will learn about satellite network architectures and microwave link engineering. Delegates will get an understanding of how noise and interference affect a microwave link. In addition, they will get familiarised with the concepts of spacecraft and repeater such as communications spacecraft, analog bent-pipe, and digital processing repeaters.

During this 1-day training course, delegates will acquire knowledge of modulators, demodulators, and modems. Delegates will also learn about GEO and non-GEO satellite control, standard GEO transponder services, and payload configuration management. Post completion of this training course, delegates will get knowledge of how to optimise the space and ground segments.

Show moredown

What’s included in this Satellite Communication Training Course

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

Show moredown

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

Show moredown

Who should attend this Reverse Engineering Training Course? 

The 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 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

Reverse Engineering is a technique used to analyse software to identify and understand the parts it is composed of. It is a process of duplicating an existing subassembly, product, and component without the help of documentation, drawings, or computer model. Reverse Engineering analyse a system to create system representations in another form of abstraction. This Introduction to Reverse Engineering course is designed to provide knowledge of reverse engineering and its components.

In this Introduction to Reverse Engineering course, delegates will learn about reversing applications and system monitoring tools. Delegates will learn how to achieve interoperability with proprietary software, develop competing software, and evaluate software quality and robustness. In addition, delegates will get an understanding of different reversing tools.

During this 1-day training course, delegates will gain knowledge of how to audit program binaries. Delegates will become familiarised with polymorphism and metamorphism. Furthermore, they will learn about Antireversing approaches, active Antidebugger techniques, and code obfuscation. On completion of this course, delegates will gain proficiency in .NET, obfuscators, and decompilation.

Show moredown

What’s included in this Reverse Engineering Training Course?

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

Show moredown

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

Show moredown

Who should attend this Digital Twin Training Course?

The Digital Twin Training is comprehensively designed to provide participants with the knowledge and skills needed to understand, create, and utilize 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 Training Course

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

Digital Twin Training​ Course Overview

Digital Twins are the virtual replicas of the physical devices that can be used by data scientists and IT pros to run simulations before actual devices are built and deploy. It can be defined as a bridge between the digital and physical world. Digital twin technology can bring numerous benefits to the business in the short-term and long-term. This technology has moved beyond manufacturing and into merging the world of AI, IoT, and data analytics.

The Knowledge Academy’s Digital Twin Training course will introduce delegates to the fundamentals of the digital twin. Delegates will get an understanding of digital thread and shadow. In addition, delegates will acquire in-depth knowledge of digital twin technology drivers and enablers.

During this 1-day course, delegates will be equipped with the knowledge of development considerations. This course is formulated to introduce delegates to various types of digital twin based on products, process, functionality, and maturity. Post completion of this training, delegates will be able to manage data. Attending this course will develop delegates skillset to work in the trending domain of Digital Twin.

Show moredown

What’s included in this Digital Twin Training Course

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

Show moredown

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

Show moredown

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

The Internet of Things (IoT) is a network of physical things with embedded technology that allows them to communicate, detect, or interact with their internal states or the external environment. It also supplies connections on a global scale inside one network that provides quick access to various information. In this training, learners will obtain their insights about the overall concept of IoT that entails direct connection between different devices, apparatuses, and other hardware without the intervention of humans. Holding skills and abilities to handle security and privacy of data can lead the delegates to attain greater employment opportunities such as IoT Product Managers, IoT Architects, Industrial Data Scientists, Industrial Engineers, and various highly skilled job designations.

In this 2-day Security and Privacy in Internet of Things (IoT) Training course, delegates will enlighten their expertise by learning about the usage of IoT technology so that an individual can evaluate, get insights, and make meaningful choices. Delegates will acquaint knowledge about the CPS design and architecture for medical monitoring. They will also learn about machine learning techniques for intrusion detection for cps security, ransomware detection and mitigation in medical, infrastructure for anomaly detection in networks, etc. Our highly expert trainer with abundant knowledge will teach the delegates about all the hacks used to automate many corporate and personal procedures, resulting in everything from property destruction to broken equipment to personal safety threats.

It also accommodates the delegates with other related topics, such as:

  • Implementation and experimental results
  • Conclusions and future work
  • Security threats
  • Hardware security solutions
  • Security primitives

At the end of this training course, delegates will be able to identify security risks to protect the essential data from intruders, attackers and cybercriminals. They will also be able to get familiar with the machine learning techniques for intrusion detection for CPS security.

 

Show moredown

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

Show moredown

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

Show moredown

 

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

The Virtual Reality (VR) Training is a comprehensive training course designed to equip participants with the knowledge and skills needed to create immersive virtual reality experiences. The course is useful 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) Training. However, a basic understanding of 3D modelling and VR technologies can be beneficial.

Virtual Reality (VR) Training​ Course Overview

Virtual Reality (VR) is the application of computer technology for building a simulated environment. The users are immersed and can interact with three-dimensional worlds, instead of viewing a screen in front of them. The position of the user’s eyes is situated within the simulated environment, and the graphics react accordingly with the movement of the user’s head. This technology creates a convincing and interactive environment for the user by making use of sensors and math.

This Virtual Reality Training course will provide knowledge on the virtual reality technology and its functioning. Delegates will get familiar with the geometry of virtual worlds and the concept of light and optics in VR. In addition, they will gain an understanding of the concepts of visual perception and visual rendering. This 1-day course will equip delegates with the knowledge of motion in real and virtual worlds, and tracking. Delegates will acquire a thorough understanding of tracking and auditory perception and rendering.

Show moredown

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

Show moredown

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

Show moredown

Who should attend this LTE Fundamentals Training Course?

The LTE Fundamentals Training Course is comprehensively designed to provide participants 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 Training. However, a basic understanding of LTE technology and its architecture can be beneficial.

LTE Fundamentals Training​ Course Overview

This LTE Fundamentals Training is designed to provide knowledge of fundamentals and working of LTE technology. Delegates will learn about the basics of FDD, TDD, and LTE. They will get an understanding of the LTE Systems, core network architecture, and radio access. In addition, delegates will get familiarised with the concept of EPS Bearer Service, End-to-End QoS, policy and security.

In this 1-day training course, delegates will be introduced to LTE network elements, roaming architecture, and LTE network mobility management. Delegates will learn about the LTE network deployment considerations. Evolved UTRAN, OFDM, SC-FDMA, and MIMO are some essential topics that are covered in this course.

During this course, delegates will gain knowledge of the IP multimedia subsystem (IMS) and session initiation protocol (SIP). Delegates will get an understanding of Policy and Charging Rules Function (PCRF), Circuit-Switched Fallback (CSFB), and Simultaneous Voice and LTE (SVLTE). Furthermore, delegates will develop their knowledge of Over-The-Top (OTT) applications. Before completion of this course, delegates will be familiarised with LTE protocols and procedures.

Show moredown

What’s included in this LTE Fundamentals Training Course

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

Show moredown

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 

Show moredown

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

The Serverless Computing with Amazon Web Services 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 Course.

Serverless Computing with Amazon Web Services ​Course Overview

Serverless technology is a cloud execution model. This technology provides backend services on operation environments and allows delegates to implement and design the applications and services without any dependencies on physical infrastructure. Serverless technology is directly handshaking with the cloud system. AWS provides cloud infrastructure for serverless technology. It has invested heavily in serverless technology and is always responsible for high availability. Serverless eliminates infrastructure management tasks such as a server or cluster provisioning, patching, operating OS (operating system) maintenance and capacity limitations.

In this course, delegates will experience from beginner to advance level in Serverless technology. Attendees will get a better understanding of computing services like storage, analytics services, data stores API Proxy as well as learn about the usability of developer tooling. In addition, delegates will get a better understanding of how to build backend services and required components to execute and auto-scale terms of applications. Delegates will learn about Amazon web services Lambda for serverless computing FaaS as well as their functions.

Show moredown

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   

Show moredown

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

Show moredown

Who should attend this Sensor and Data Fusion Training Course?

The Sensor and Data Fusion Training is a comprehensive program designed to equip participants 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 Training. 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 Training 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.

The Knowledge Academy’s 1-day training course will teach delegates about classical and Bayesian inference. They will get an understanding of dempster-shafer evidential theory and how it differs from Bayesian decision theory. Delegates will become familiarised with linear and non-linear classifiers as well as with supervised and unsupervised learning. Furthermore, delegates will acquire knowledge of sensor detection space and system detection probability.

During this training course, delegates will learn how to balance an inverted pendulum with fuzzy logic control. They will be introduced to essential elements of a fuzzy system, fuzzy logic processing, and fuzzy centroid calculation. On course completion, delegates will gain familiarity with received-signal fusion and angle data fusion.

Show moredown

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

Show moredown

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 01344203999 or Enquire.

Advanced Technologies Courses FAQs

FAQ's

Please arrive at the venue for 08:45 am.
The Knowledge Academy offers Advanced Technologies Courses in a range of locations across the UK and around the world, making it easy to find a training venue near you.
This depends on the training course you choose. Please refer to each course for details.
All of our instructors are proficient and have experience in the field, providing you with the highest quality of training.
As well as tuition from an instructor, you will receive a courseware book and a certificate upon completion.
The Knowledge Academy is the Leading global training provider for Advanced Technologies Courses.
The price for Advanced Technologies Courses certification in the United Kingdom starts from £1995.

Why we're the go to training provider for you

icon

Best price in the industry

You won't find better value in the marketplace. If you do find a lower price, we will beat it.

icon

Trusted & Approved

We are accredited by PeopleCert on behalf of AXELOS

icon

Many delivery methods

Flexible delivery methods are available depending on your learning style.

icon

High quality resources

Resources are included for a comprehensive learning experience.

barclays Logo
deloitte Logo
Thames Water Logo

"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"

Joshua Davies, Thames Water

santander logo
bmw Logo
Google Logo

Looking for more information on Advanced Technologies Courses