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Advanced Technologies Courses courses

Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

5G Wireless Training Course Outline

Introduction to 5G Wireless Communication

  • Evolution of LTE Technology to Beyond 4G
  • Pillars of 5G
  • 5G Architecture

Overview of 5G Internet

  • Internet of Things (IoT)
  • Network Reconfiguration and Virtualisation Support
  • Mobility and Quality of Service Control
  • Emerging Approach for Resource Over-Provisioning

Small Cells for 5G Networks

Cooperation for Next Generation Wireless Networks

  • Cooperative Diversity
  • Relaying Strategies
  • Performance Evaluation

Basics of Mobile Clouds

  • The Mobile Cloud
  • Mobile Cloud Enablers

Introduction to Cognitive Radio

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

White Spaces for 5G

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

5G Communications Security Basics

  • Potential 5G Communications System Architecture
  • Security Issues and Challenges

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Prerequisites

There are no formal prerequisites for attending this course.

Audience

Anyone who is interested in pursuing a career in Mobile wireless or is looking to upgrade his/her skills in Telecommunications can attend this course. Professionals who are keen to learn and implement 5G can also attend this 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.

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

  • The Knowledge Academy's 5G Wireless Training Manual
  • Experienced Instructor
  • Certificate

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Conda Training Course Outline

Introduction to Conda

Concepts of Conda

  • Conda Directory Structure
  • Conda Environments
  • Conda Packages

Getting Started with Conda

  • Managing Conda
  • Managing Environments
  • Managing Python
  • Managing Packages

Conda Installation

Basics of Conda Configuration

  • .condarc Conda Configuration File
  • Administering Multi-User Conda Installation
  • Conda on Windows XP
  • Disabling SSL Verification

Conda Troubleshooting

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Prerequisites

There are no prerequisites for attending this course.

Audience

This course is intended for those individuals who wish to enhance their knowledge of how to work with Conda. This course is ideal for:

  • Data Analysts
  • Developers
  • Data Science Professionals

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.

 

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What's included in this Conda Training Course?

  • The Knowledge Academy’s Conda Training Manual
  • Experienced Instructor
  • Completion Certificate

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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

Introduction to Chatbots

  • Intents, Slots and Utterances
  • Designing Conversational Flows
  • Best Practices

Overview of Amazon Alexa and Amazon Lex

Get Started with AWS and Amazon Command Line Interface (CLI)

Creating Alexa Skill

  • Alexa Skills Kit
  • Conversational Flow Diagram
  • Creating Lambda

Connecting Alexa Skill to External APIs

Building Amazon Lex Chatbot

  • Creating Amazon Lex Chatbot
  • Creating FAQ Chatbot
  • Lex Responses

Overview of Designing Flows

Building the Chatbots

  • Product Find
  • Add to Cart
  • Checkout
  • Saving Cart
  • Retrieve Saved Cart

Publishing Chatbot to Facebook, Slack, Twilio, and HTTP

  • Integrations
  • HTTP Endpoint
  • Web User Interface

Improve User Experience for Bots

  • Amazon Lex Response Cards
  • Alexa Search Queries
  • Lex Utterance Monitoring

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Prerequisites

There are no prerequisites for this course.

Audience

Anyone who wishes to learn how to build Chatbots can attend this 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.

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What's included?

  • The Knowledge Academy's Building Chatbots with Alexa Skills and Amazon Lex Course Manual
  • Experienced Instructor
  • Certificate

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Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

Internet of Things (IoT) Training Course Outline

Overview of Internet of Things

  • Architecture of IoT
  • Resource Management
  • Data Management and Analytics
  • Communication Protocols
  • Applications of IoT

Managing IoT Resources in the Cloud

Device and Cloud Collaboration Framework

Basics of Fog Computing

  • Applications
  • Research Directions and Enablers
  • Commercial Products

Overview of IoT Enablers and Solutions

  • Programming Frameworks for Internet of Things
  • Virtualisation on Embedded Boards
  • MicroVMs for Cloud Assisted Cyber-Physical Systems

Stream Processing in IoT

Distributed Data Analysis for IoT

IoT Security and Privacy

  • IoT Security Basics
  • Security Framework for IoT
  • Privacy in IoT Networks

Basics of IoT Robustness and Reliability

IoT Governance

Obfuscation and Diversification for Securing IoT

Introduction to IoT Applications

  • Applied IoT
  • Internet of Vehicles and Applications
  • Cloud-Based Smart Facilities Management

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Prerequisites

There are no formal prerequisites for this course.

Audience

Anyone who is interested in learning the IoT and is wishing to pursue a career in the field of Internet of Things can attend this course. This course is well-suited for:

  • IT Professionals
  • Software Developers
  • Data Analysts
  • Big Data Professionals

Internet of Things (IoT) Training Course Overview

The Internet of Things (IoT) is a concept based on interconnecting physical devices embedded with sensors, actuators, electronics, software, and network connectivity that allow IoT objects to gather and exchange the data. It relies on a host of technologies like Application Programming Interfaces (APIs) that connect devices to the Internet.

This Internet of Things (IoT) Training is designed to provide delegates with a comprehensive knowledge of the IoT architecture and different communication protocols. During this training, delegates will learn how to manage IoT resources in the cloud. In addition, delegates will gain knowledge of stream processing in IoT and distributed data analysis for IoT. By the end of this training, delegates will be able to secure IoT by using the techniques of obfuscation and diversification.

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What's included in this IoT Training Course?

  • The Knowledge Academy's Internet of Things (IoT) Training Manual
  • Experienced Instructor
  • Certificate

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Introduction to Virtualisation Technologies Course Outline

Introduction to Virtualisation

  • Virtualisation Types
  • Hypervisors Types
  • Local Virtualisation and Cloud

Common Uses in Virtualisation

Virtualisation Hardware

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

Overview of Microsoft Hyper-V

VMware Workstation Player

VirtualBox Basics

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

Overview of OpenStack

Infrastructure Preparation

Troubleshooting

Backing Up, Restoring and Migrating VM

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Prerequisites

There are no prerequisites for this course. However, basic knowledge of OS's and their elements would be beneficial.

Audience

Anyone who wishes to elevate their knowledge of Virtualisation technologies can attend this course. This course is ideal for:

  • IT Managers
  • System Administrators
  • System Analysts
  • Network and Server Administrators

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.

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What's included in this Virtualisation Training Course?

  • The Knowledge Academy's Introduction to Virtualisation Technologies Manual
  • Experienced Instructor
  • Certificate

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Quantum Computing Course Outline

Introduction to Quantum Computing

  • Quantum Mechanics
  • Qubits and Quantum Memory
  • Elementary Gates

Overview of Circuit Model and Deutsch-Jozsa

Introduction to Simon’s Algorithm

The Fourier Transform

  • Classical Discrete Fourier Transform
  • Fast Fourier Transform
  • Application – Multiplying Two Polynomials
  • Quantum Fourier Transform
  • Quantum Circuit

Shor’s Factoring Algorithm

Hidden Subgroup Problem

Grover’s Search and Quantum Walk Algorithm

  • Grover’s Algorithm
  • Amplitude Amplification
  • Application: Satisfiability
  • Quantum Walk
  • Applications
    • Grover Search

    • Collision Problem

    • Finding a Triangle in Graph

Overview of Hamiltonian Simulation

Introduction to HHL Algorithm

  • Linear Systems Problem
  • HHL Algorithm for Linear Systems
  • Improving HHL Algorithm Complexity

Quantum Query Lower Bounds

Quantum Complexity Theory

Quantum Encodings with a Non-Quantum Application

Quantum Communication Complexity

Entanglement and Non-Locality

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

Introduction to Quantum Cryptography

Error-Correction and Fault-Tolerance

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

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Prerequisites

There are no prerequisites for attending this course. However, a basic knowledge of linear algebra and quantum mechanics would be beneficial.

Audience

Anyone who wishes to gain an understanding of the implications of Quantum Computing can attend this 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.

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What’s Included

  • The Knowledge Academy's Quantum Computing Training Manual
  • Experienced Instructor
  • Certificate

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Reverse Engineering Training Course Outline

Introduction to Reverse Engineering

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

Low-Level Software

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

Windows Fundamentals

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

Exploring Reversing Tools

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

Deciphering File Formats

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

Auditing Program Binaries and Reversing Malware

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

Piracy and Copy Protection

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

Antireversing Techniques

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

Breaking Protections

  • Patching and Keygenning
  • Advanced Cracking – Defender
  • Defender Protection Technologies

Introduction to Reversing .NET

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

Overview of Decompilation

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

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Prerequisites

There are no prerequisites to attend this course. However, basic understanding of Windows OS and computer architecture concepts would be beneficial.

Audience

Anyone interested in learning about reverse engineering and its various concepts can attend this course. This course is well-suited for information security analysts.

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.

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

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

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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Prerequisites

There are no formal prerequisites for this course.

Audience

This course is designed for IT Professionals.

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.

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

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Augmented Reality (AR) Training Course Outline

Introduction to Augmented Reality

  • Define Augmented Reality
  • Similarity Between Augmented Reality and Virtual Reality
  • Differences Between Augmented Reality and Virtual Reality

Exploring Displays

  • Multimodal Displays
  • Visual Perception
  • Characteristics and Requirements
  • Spatial Display Model
  • Virtual Displays

Tracking in Augmented Reality

  • Tracking, Calibration, and Registration
  • Coordinate System
  • Tracking Technology Characteristics
  • Stationary Tracking Systems
  • Mobile Sensors
  • Optical Tracking and Sensor Fusion

Working with Computer Vision

  • Marker Tracking
  • Multiple-Camera Infrared Tracking
  • Natural Feature Tracking by Detection
  • Incremental Tracking
  • Simultaneous Localisation
  • Mapping
  • Outdoor Tracking

Calibration and Registration

  • Camera and Display Calibration
  • Registration

Visual Coherence

  • Occlusion
  • Photometric Registration
  • Common Illumination
  • Diminished Reality
  • Camera Simulation

Situated Visualisation

Interaction in Augmented Reality

  • Output and Input Modalities
  • Tangible Interfaces
  • Augmented Paper
  • Multi-view Interfaces

Modelling and Annotation

Authoring, Navigation, and Collaboration

Software Architectures

  • AR Application Requirements
  • Software Engineering Requirements
  • Distributed Object Systems
  • Dataflow and Scene Graphs

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Prerequisites

There are no prerequisites for attending this course. However, basic knowledge of markup languages like HTML and XML will be advantageous.

Audience

Anyone who wishes to learn about augmented reality can attend this course.

Introduction to Augmented Reality (AR) Training Course Overview

Augmented Reality (AR) is a technique of combining digital information with the user’s environment in real-time. It uses the existing environment and superimposes new information on top of it. AR adds graphics, sound, and touch feedback to the natural world for creating better user experience. Augmented reality provides a new and enhanced natural world where virtual information acts as a tool to assist with routine activities.

The Knowledge Academy’s Augmented Reality (AR) Training course will equip delegates with a thorough understanding of AR and its applications. Delegates will learn about the relationship between Augmented Reality (AR) and Virtual Reality (VR). In addition, delegates will be introduced to different types of displays in AR and the concept of tracking.

During this 2-day course, delegates will gain a comprehensive knowledge of computer vision, collaboration, and registration. Furthermore, delegates will get familiarised with the concepts of visual coherence and interaction in AR. Post completion of this training, delegates will be able to get an understanding of modelling, authoring, and software architectures in AR.

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

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

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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Prerequisites

There are no prerequisites for this course.

Audience

Anyone new to virtual reality (VR), and want to learn about this stunning innovation can attend this course.

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.

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

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Introduction to Nanotechnology​ Course Outline

Introduction to Nanotechnology

  • Nanomaterials Synthesis and Applications
  • Overview of Carbon Nanotubes
  • Basics of Nanowires
  • Introducing Micro/Nanofabrication
  • Micro and Nanofabrication Stamping Techniques
  • Micro and Nanoelectromechanical Systems
  • MEMS/NEMS Devices and Applications
  • Therapeutic Nanodevices

Scanning Probe Microscopy

  • Principle of Operation, Instrumentation, and Probes
  • Probes in Scanning Microscopies
  • Noncontact Atomic Force Microscopy
  • Low-Temperature Scanning Probe Microscopy
  • Dynamic Force Microscopy
  • Molecular Recognition Force Microscopy

Nanotribology and Nanomechanics

  • Micro or Nanotribology and Materials Characterisation
  • Surface Forces and Molecularly Thin Films Nanorheology
  • Scanning Probe Studies of Nanoscale Adhesion
  • Friction and Wear on the Atomic Scale
  • Nanoscale Mechanical Properties
  • Solid Surfaces and Thin Films Nanomechanical Properties
  • Atomistic Computer Simulations of Nanotribology
  • Biological Nanotechnology Mechanics
  • Nanostructures Mechanical Properties

Social and Ethical Implication of Nanotechnology

  • Applications and Societal Impacts
  • Technological Convergence
  • Major Socio-Technical Trends
  • Ethical Behaviour Sources

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Prerequisites:

There are no formal prerequisites for attending this course.

Audience:

Anyone interested in learning the nanotechnology fundamentals can attend this course.

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.

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

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Digital Twin Training​ Course Outline

Introduction to Digital Twin

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

Digital Twin – Digital Thread and Digital Shadow

  • Digital Thread
  • Digital Shadow

Digital Twin Building Blocks

  • Building Blocks of Digital Twin
  • Digital Twin Technology Drivers and Enablers

Types of Digital Twin

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

Development Considerations

  • Overview of Data
  • Modeling Environment

Model and Data Management

  • Managing Data
  • The Model

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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Prerequisites

There are no formal prerequisites for attending this course.

Audience

Anyone interested in learning about the emerging Digital Twin technology can attend this course.

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.

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

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Sensor and Data Fusion Training Course Outline

Introduction to Data Fusion

  • What is Data Fusion?
  • Data Fusion Application
  • Data Fusion Modeling Technique

Multiple Sensor System Applications and Design Considerations

  • Data Fusion Applications
  • Selection of Sensors
  • Fog Characterisation
  • Operating Frequency Effect on MMW Sensor Performance
  • Absorption and Backscatter of MMW
  • Visibility Metrics
  • Atmospheric and Sensor System Computer Simulation Models

Data Fusion Algorithms and Architectures

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

Classical Inference

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

Bayesian Inference

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

Dempster-Shafer Evidential Theory

  • Process Overview
  • Method Implementation
  • Dempster’s Rule for the Combination of Multiple Sensor Data
  • Dempster Shafer vs Bayesian Decision
  • Probabilistic Models to Transform Dempster-Shafer Belief Functions

Artificial Neural Networks

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

Voting Logic Fusion

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

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

Passive Data Association Techniques

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

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Prerequisites

There are no prerequisites to attend this course.

Audience

Anyone interested in gaining knowledge of sensor and data fusion can attend this course. This course is well-suited for:

  • Project and Product Managers
  • Systems Engineers
  • Software Engineers

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.

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

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Satellite Communication Training​ Course Outline

Fundamentals of Satellite Systems

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

Satellite Network Architectures

  • Satellite Network Features
  • Point-to-Multipoint Networks
  • Point-to-Point Networks
  • VSAT Networks

Microwave Link Engineering

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

Modulation, Multiple Access, and Impairments

  • Digital Baseband Signals and Hierarchies
  • Digital Modulation
  • Multiple Access Methods
  • Distortion and Impairments

Introduction to Spacecraft and Repeater

  • Communications Spacecraft
  • Analog Bent-Pipe Repeaters
  • Digital Processing Repeaters
  • Standard Repeater Elements

Exploring Spacecraft Antennas

  • Horn and Reflector Antennas
  • Antenna Patterns
  • Direct Radiating Array Antennas

Spacecraft Mission and Bus Subsystems

  • Mission Summary
  • Spacecraft Configuration
  • Spacecraft Bus Subsystem

Earth Stations and Network Technology

  • Earth Station Configuration
  • Performance Requirements
  • Radio Frequency Equipment
  • Intermediate Frequency and Baseband Equipment
  • Tail Links and Terrestrial Interface

Exploring Launch Vehicles and Services

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

Satellite Operations and Organisations

  • Satellite Control System
  • Intercommunication Networks
  • Network Operations

Satellite Systems Engineering and Economics

  • Principles of Satellite Systems Engineering and Economics
  • System Development Methodology
  • Space Segment and Earth Station Economics
  • Analysis of Network Economics
  • Satellite Communications – Instant Infrastructure

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Prerequisites

There are no formal prerequisites to attend this course.

Audience

Anyone interested in learning the fundamentals of satellite system can attend this course. This course is well-suited for:

  • Technical Managers
  • Software and System Engineers

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.

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

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

LTE Fundamentals Training Course Outline

Introduction to LTE

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

Overview of LTE Architecture

  • LTE Performance
  • Basics of FDD, TDD, and LTE
  • 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

LTE Network Deployment Considerations

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

Exploring LTE Radio Technology

  • Evolved UTRAN
  • OFDM and SC-FDMA
  • LTE channel: Bandwidths and Characteristics
  • OFDM Applied to LTE
  • Introduction to MIMO (Multiple Input Multiple Output)

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 (PCRF)
  • Enhanced Voice Quality
  • Circuit-Switched Fallback (CSFB)
  • Simultaneous Voice and LTE (SVLTE)
  • Over-The-Top (OTT) Applications

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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Prerequisites

There are no prerequisites to attend this course.

Audience

Anyone interested in learning the functioning of LTE can attend this course. This course is ideal for:

  • Business and Operations Professionals
  • Service, Network and Systems Engineers
  • Service and Network Design Engineer

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.

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

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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 + 1-613 800 4703 or Inquire.

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Frequently asked questions

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 in the world for Advanced Technologies Courses.
The price for Advanced Technologies Courses certification in Canada starts from CAD2795.

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