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IBM

AI for Everyone: Master the Basics

IBM via edX

Overview

Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!

In this course, you will learn what AI is and understand its applications and use cases and how it is transforming our lives. You will explore basic AI concepts including machine learning, deep learning, and neural networks as well as use cases and applications of AI. You will be exposed to concerns surrounding AI, including ethics, bias, jobs and the impacts on society.

You will take a glimpse of the future with AI, get advice for starting an AI related career, and wrap up the course by demonstrating AI in action with a mini project.

This AI for Everyone course does not require any programming or computer science expertise and is designed to introduce the basics of AI to anyone whether you have a technical background or not.

Syllabus

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

Copyrights and Trademarks

  • Course Rating
  • Feedback

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Taught by

Rav Ahuja

Reviews

5.0 rating, based on 3 Class Central reviews

4.5 rating at edX based on 409 ratings

Start your review of AI for Everyone: Master the Basics

  • Melissa Marie Daniella
    AI for Everyone: Master the Basics – Review This course is an excellent introduction to artificial intelligence, especially for learners who don’t have a technical background but want to understand how AI works and how it's used in real-world appli…
  • Aimable NZABAKURANA
    is course provides a clear and accessible introduction to AI concepts, including its applications, benefits, and ethical considerations. The structure is well-organized, the examples are practical, and it helped me understand how AI can be responsibly applied in professional and government settings. Highly recommended for beginners and anyone wanting a solid AI foundation.
  • Anonymous
    I have used key courses and especially professional certifications to add to my resume. I have a bachelor of science degree, but I don’t have a Masters Degree or PhD so this was a way to build practical credibility. Meaning that my knowledge wasn’t…

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