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.
Reviews
There are no reviews yet.