Advanced Technologies Courses - United Kingdom

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.

What's included in this IoT Training Course?

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

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.

What's included?

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

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.

What's included in this Virtualisation Training Course?

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

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.

What's included in this Conda Training Course?

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

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.

What’s Included

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

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.

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

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.

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

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.

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

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.

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

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.

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

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.

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

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.

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

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.

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

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.

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