Learning Outcomes

Ethical Foundations of AI

Psychological Dimensions of AI

Societal and Future Implications of AI

Philosophical Questions and Consciousness

Lesson Summary

Artificial Intelligence Between Ethics and Psychology - Assessment

Explore how Artificial Intelligence challenges ethical norms and interacts with human psychological processes.

Artificial Intelligence Between Ethics and Psychology

Take a deep dive into the ethics and psychology of Artificial Intelligence. Explore the psychological impact of human-machine interaction, emotional AI, and the role of empathy in ethical design. This course examines the ways in which intelligent systems influence human behavior, decision-making, and mental well-being, while also addressing the ethical challenges posed by algorithmic bias, autonomy, and responsibility.

Introduction to Generative AI

Generative Adversarial Networks (GANs)

Variational Autoencoders (VAEs)

Diffusion Models

Deep Generative Models

Transformer Models

Prompt Engineering and Ethics and Safety of Generative AI

Real life Generative AI (Hands-On)

This module will teach you the fundamentals of Generative AI (Artificial Intelligence), including GANs, VAEs, diffusion models, transformer models, and prompt engineering. You will also learn how to use generative AI models to generate new data, translate between different types of data, and edit existing data.

Master Course in Generative AI (Artificial Intelligence) - Course Assessment

Become a Generative AI Expert and Take Your Career to the Next Level : The Complete Guide to Generative AI

Master Generative AI (Artificial Intelligence)

Unleash the power of generative AI! This fast-paced course equips you to forge new data from existing sources, opening doors to endless possibilities.

Master core models like GANs and VAEs, tackle real-world challenges, and navigate ethical considerations with confidence. Emerge as a generative AI expert!

Packed with video lectures, hands-on exercises, and quizzes, this six-module program propels your learning. Embark on your AI journey today!

IT Technician Basics

Network and Windows Troubleshooting

Hardware, OS, and Motherboards

Understanding Memory, Processors, and IT Support

Data Storage and Network Security

This module reviews the responsibilities of IT technicians and their educational and professional requirements. We dissect the hardware and software components of computer systems. We also discuss network technology and connections, procedures for troubleshooting Windows OS, IT support and customer care, data storage, and network security.

Cloud Computing and Cybersecurity

Project Management and Emerging Technologies

Mobile Technologies and IT Ethics

Cloud Services and Project Management Tools

Trends and Career in Information Technology

This module studies cloud computing and security options. We review cybersecurity practices, including incident response and disaster recovery techniques. Likewise, we discuss project management principles, mobile devices, and cloud infrastructure. We also consider emerging technologies, trends, and career development for IT professionals.

Essentials of Information Technology Technician Skills - Assessment

Learn basic and advanced IT concepts in this free online course required to become a competent IT technician.

Essentials of Information Technology Technician Skills

Organisations constantly need experts to help diagnose, repair and maintain computer hardware and software systems. These professionals are called ‘IT technicians’. Becoming an IT technician requires the right professional skills and the ability to apply them. This advanced computing course provides the problem-solving skills and technical knowledge required to perform computer diagnostics, repairs and maintenance as an IT technician.

A Basic Introduction to Product System Engineering

Product Development - The Concept

Stages in Product Development

This module introduces you to the field of product systems engineering. In this regard, you will learn about various components of a product system and domains in product systems engineering. The module also discusses the three core concepts surrounding product development, along with an explanation of the product development process.

Determining the Best Life Cycle for Product Development

The Concept of Product Hierarchy

How to Develop Products With Values?

Boundaries, Interfaces, and Requirements Elicitation

In this module, we will explore different strategies involved in the product life cycle, i.e., the Waterfall model, iterative-incremental approach, and agile. Product hierarchy and its components are also discussed in this module. Moreover, you will also learn to develop products with values, along with understanding boundaries and interfaces.

Fundamentals of Product Development and Systems Engineering - Assessment

Learn what Product Development & Systems Engineering is and how it can help create and launch successful products.

Fundamentals of Product Development and Systems Engineering

This detailed course on Products System Engineering explores different areas concerned with the development of products, their life cycles, and development. It also explains the importance of product hierarchy and categorization for businesses. Students will also learn to induce value in their products and understand essential concepts, such as requirements elicitation, communicating boundaries, and stakeholder engagement.

Introduction to Artificial Intelligence

The History of AI

AI in the Present

The Future of AI

In this module, you will learn what artificial intelligence is. You will discover its origins, consider its use in the present moment and consider its impacts on the future of humanity. You will also have a look at the ethical considerations of artificial intelligence. And finally, you will learn about the most common myths.

Artificial Intelligence Defined - Course Assessment

This free online computer science course discusses common myths and ethical questions about artificial intelligence.

From Origins to Horizons: The Evolution of AI

Explore the world of artificial intelligence (AI) in this computer science course. We examine the history, current application and the future of AI. We debunk common myths and probe ethical questions regarding AI to help you navigate the ever-changing landscape of this cutting-edge technology. Sign up to learn how to contribute to the responsible advancement of AI and harness its power to shape a more innovative and ethically conscious future.

Basic Introduction to Quantum Computing

Fundamental Principles of Quantum Mechanics

Quantum Algorithms and Quantum Gates

Quantum Computing Hardware and Tools

Real-World Applications of Quantum Computing

Challenges and Future of Quantum Computing

This module introduces quantum computing, covering essential principles like quantum gates, algorithms, and their real-world applications. Learn about quantum mechanics, qubits, and algorithms such as Shor's and Grover's. Explore how quantum computing is set to revolutionize fields like cryptography, optimization, and machine learning.

Introduction to Quantum Computing - Course Assessment

Learn the basics of Quantum Computing: Explore qubits, superposition, algorithms, and future applications.

Introduction to Quantum Computing

Discover quantum computing with this beginner-friendly course. Learn key concepts like qubits, superposition, and entanglement, explore practical applications in cryptography, optimization, and machine learning, and get hands-on experience with quantum simulators. Perfect for students, tech enthusiasts, and professionals curious about the revolutionary future of computing, its challenges, and its real-world impact.

Introduction to Computer Maintenance

Software Maintenance

Hardware Maintenance

Data Maintenance and Recovery

Explore the essentials of computer maintenance in this comprehensive module. Learn about software and hardware upkeep, including updates, troubleshooting, and component care. Discover strategies for data backup, recovery, and secure deletion, ensuring optimal performance and longevity of your computer system.

Planning and Choosing Components

Assembly and Installation

Operating System and Software Installation

Dive into PC building essentials with this detailed module, covering planning, component selection, assembly, OS installation, and software setup. Learn to choose parts for performance and sustainability, master wiring and BIOS settings, and efficiently set up your operating system and key software.

Computer Maintenance and PC Building - Course Assessment

Learn the essentials of computer maintenance, PC building, OS installation, and software setup with this free course.

Computer Maintenance and PC Building

This course covers computer maintenance, emphasizing software and hardware upkeep for optimal performance. It guides learners through PC assembly, highlighting component selection, safety, and systematic building. Additionally, it focuses on operating system installation, essential software, and driver configuration. Ideal for both novices and enthusiasts, it combines theoretical knowledge with practical skills for efficient PC maintenance.

Logic and Reasoning

Modus Ponens, Tollens and Resolution Refutation

Skolemization, Prolog and Reasoning Approaches

This module will help you get a basic understanding of different logical concepts, logic languages, and reasoning. You will learn about propositional and predicate calculus. Also, you will discover different reasoning approaches and theorem proving by resolution refutation.

Logic, Reasoning and Resolution Refutation - Course Assessment

Learn how to apply logic and reasoning through resolution refutation in this free online critical thinking course.

Logic, Reasoning and Resolution Refutation

‘Logic’ is the scientific study of reasoning. While logic is significant in many fields, including philosophy and mathematics, it is especially crucial to computer science and is sometimes called the ‘calculus of computer science’. This course lays out the computational elements of logic, especially its applications in terms of databases. Sign up to hone your critical thinking skills and learn how to apply them in practical computer science.

Structure of ASP.NET Core

ASP.NET Core Code Demo

Application Startup Services and Middleware

Structure and Middleware

ASP.NET Core Structure and Middleware - Assessment

This module explores what is new about the fresh technology and what Asp.Net Core is all about. It goes further to tell us how ASP.NET Core app is 
a console application. ASP.NET Core apps requires a start up, at least one. This class is responsible for configuring the request pipeline that handles all request that comes into the application.

Dependency Injection

Dependency Injection Lifetimes

Introduction to Tag Helpers

Tag Helpers Scope and Demo

Using Tag Helpers with Forms

Building Custom Tag Helpers

Dependency Injection and Tag Helpers - Assessment

In this module, you will learn about Dependency Injection as a common software engineering design principle. It outlines the major functions of the dependency injection container. This module also explores how to build some simple tag helpers and explore their features.

Introduction to View Components

View Components Demo

View Components and Entity Framework

Building a View Component

Working with View Components - Assessment

In this Module, you will learn how to create and use View Components. In this demo, we will use a simple sample app from Microsoft to illustrate the basics. Learn how to re-use summary data throughout a website and pass information to a view component to customize what data it displays including how the view displays it.

Exploring ASP.NET Core: Intermediate - Assessment

Explore the intermediate-level concepts and functionalities of ASP.NET Core with this free online course

Exploring ASP.NET Core: Intermediate

‘Exploring ASP.NET Core: Intermediate’ is a course that builds on the foundation of ASP.NET to enhance your professional skills. Learn about the structure of ASP.NET Core, the application startup services and Middleware. Gain essential insights on new cross platforms, data management and database migrations from this course to build modern apps. Register for this course today and take your coding skills to the next level!

Introduction to Explainable AI

Layer-Wise Relevance Propagation (LRP), Glass Box Models, & CEM

Understanding How AI Models Work

AI Computation & Real-Life Use Cases

Structure, Components & Ethical Considerations in Explainable AI

Hands-on Projects in Explainable AI (XAI)

In this module, you will learn about the basics of Explainable AI (XAI) and how to apply it to real-world problems. You will learn an overview of the different types of XAI techniques, as well as the challenges and ethical considerations of XAI. Discover the power of AI with Explainable AI (XAI)! Learn the ins and outs of this cutting-edge tech.

Explainable AI Explained – Course Assessment

Learn how explainable AI makes AI models more transparent, and build fair AI systems with this free online course

Explainable AI Explained

Learn how to make AI models more transparent and understandable with this comprehensive course on Explainable AI (XAI). In this course, you will learn the basics of XAI, as well as the different techniques that can be used to explain the predictions of AI models. You will also learn about the challenges of XAI and the ethical considerations that need to be taken into account when developing explainable AI systems.

Connectivity Technologies

6LoWPAN and RFID protocols

Wireless HART

Bluetooth Technology

Z-wave

In this module, you will be introduced to technologies such as hart and wireless HART and Bluetooth technology as a tool for building IoT connectivity. You will also be introduced to the basic concepts in sensor networks.

Concepts of Sensor Networks

Node Behaviour

Applications of Sensor Networks

Coverage

Mobile Sensor Networks

UAV Networks

Machine to Machine Communication

In this module, you will be introduced to some applications of sensor networks and the concept of coverage in sensor networks. You will also be introduced to the concepts of mobility and machine to machine communication.

Introduction to Connectivity Technologies and Sensor Networks - Final Assessment

Learn about the fundamentals of sensor networks, wireless sensor networks and technologies of connection.

Introduction to Connectivity Technologies and Sensor Networks

This free online course will be of great interest to students and individuals who have requisite background knowledge of  computer networks and programming. The course describes technologies such as hart, wireless HART and Bluetooth technology. You will also be introduced to basic concepts in sensor networks. You will learn about sensor network applications and coverage in sensor networks as well as in wireless sensor networks.

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