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IBM: AI for Everyone: Master the Basics

Learn what Artificial Intelligence (AI) is by understanding its applications and key concepts including machine learning, deep learning and neural networks.

Curriculum :

Syllabus

Module 0: Welcome

  • Video: Course Introduction
  • Reading: General Information
  • Reading: Learning Objectives and Syllabus
  • Reading: How to Make the Most of This Course
  • Grading Scheme

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: Different 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 Different 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)
  • Retake Exam

Course Wrap-Up

  • Video: Course Wrap-Up
  • Reading: Congratulations and Next Steps
  • Reading: Glossary: Introduction to Artificial Intelligence (AI)
  • Thanks from the Course Team

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