Artificial intelligence (AI) is all around us, seamlessly integrated into our daily lives and work. This course will help you understand key AI terminologies and applications and launch or transform your AI career.
This course covers core AI concepts, including machine learning, neural networks, and deep learning. You will explore Generative AI models such as large language models (LLMs) and their capabilities.
The course dives into how AI applies to various domains, including natural language processing (NLP), computer vision, and robotics, uncovering how these technologies drive innovation across industries. You will also examine AI’s transformative impact on businesses, as well as key ethical concerns and governance surrounding AI’s applications. The hands-on labs and project will provide practical experience, exploring AI’s applications across multiple use cases.
This course is suitable for professionals, students, and AI enthusiasts looking to gain foundational knowledge of AI, its potential, and its ethical challenges. Overall, this Artificial Intelligence Fundamentals course gives you a valuable introduction to AI to kickstart your journey toward career success.
Module 1:
Introduction and Applications of AI
Reading: Module Introduction and Learning Objectives Video: Introducing AI Video: Artificial Intelligence vs. Augmented Intelligence Video: Introducing Generative AI and Its Use Cases Reading: DiRerent types of AI Video: The Evolution of AI: Traditional AI vs. Generative AI Video: Artificial Intelligence – Are We There Yet? Video: AI in Daily Life Video: AI Chatbots and Smart Assistants Video: What Is a Chatbot? Lab: AI Assistant-User Conversations Video: Applications of AI in DiRerent Industries Video: Generative AI Tools and Applications Video: Ten Everyday AI and Machine Learning Use Cases Lab: Generative AI Tools in Action Practice Quiz: Module 1: Introduction and Applications of AI Module Summary Graded Quiz: Introduction and Applications of AI Module 2:
AI Concepts, Terminology, and Application Domains
Reading: Module Introduction and Learning Objectives Video: Cognitive Computing Video: Terminologies and Related Concepts of AI Video: Machine Learning Video: Machine Learning: Techniques and Training Video: Deep Learning Video: Neural Networks Video: Machine Learning vs. Deep Learning Video: Generative AI Models Video: Large Language Models Activity: AI Integration in Everyday Life Video: Machine Learning vs. Deep Learning vs. Foundation Models Video: Natural Language Processing, Speech, and Computer Vision Video: What Is NLP (Natural Language Processing)? Video: Self-Driving Cars Video: AI and Cloud Computing, Edge Computing, and IoT Practice Quiz: Module 2: AI Concepts, Terminology, and Application Domains Module Summary Graded Quiz: AI Concepts, Terminology, and Application Domains Module 3:
Business and Career Transformation Through AI
Reading: Module Introduction and Learning Objectives Video: AI Agents Video: What Are AI Agents? Video: Robotics and Automation Video: Transforming Businesses Through AI Video: The Rise of Generative AI for Business Lab: Generative AI for Business Transformation Video: Become a Value Creator with Generative AI Reading: Introduction to RAG Video: What Is Retrieval-Augmented Generation (RAG)? Video: Adopting AI in Your Business Video: Frameworks for AI Adoption Reading: AI Adoption Frameworks: Amazon, OpenAI, and Facebook Video: Transforming Your Work Through AI Tools Video: Career Opportunities with AI Lab: Using Generative AI for Your Work Video: Humans vs. AI: Who Should Make the Decision? Practice Quiz: Module 3: Business and Career Transformation Through AI Module Summary Graded Quiz: Business and Career Transformation Through AI Module 4:
Issues, Concerns, and Ethical Considerations
Reading: Module Introduction and Learning Objectives Video: Ethical Considerations and Responsible Use of AI Video: Considerations Around Generative AI Video: Why Large Language Models Hallucinate Video: Perspective of Key Players Around AI Ethics Video: The Importance of AI Governance Activity: Responsible Use of AI at Work Video: How to implement AI Ethics Practice Quiz: Module 4: Issues, Concerns, and Ethical Considerations Reading: Lesson Summary Final Project: Transforming Organizational Functions with Generative AI Course Graded Quiz: Introduction to Artificial Intelligence (AI) The Artificial Intelligence Fundamentals course provides a strong foundation in modern AI concepts, helping learners understand the technologies driving today’s innovation.
From machine learning and deep learning to Generative AI and large language models (LLMs), this program explores the core principles that power smart systems, automation, and decision-making tools across industries.
Through engaging videos, readings, and interactive labs, you’ll gain practical experience in:
AI applications in business, robotics, and automation Generative AI tools and business transformation NLP, computer vision, and self-driving technologies AI ethics, governance, and responsible implementation Whether you’re a student, working professional, or tech enthusiast, this course will help you understand AI’s potential and accelerate your career in the digital future.
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