AI Fundamentals Course (AI 101)

Artificial Intelligence, Case Studies, Computer Science, Software, Technology

🎓 AI Fundamentals Course (AI 101) – Free

✅ Course Format: 50 lessons (in simple English)
✅ Level: Beginner (no coding or programming or prior AI knowledge needed)
✅ Mode: Self-paced learning (all lessons are online), with final quiz + certificate
✅ Certificate Awarded: Upon scoring 80%+ in final quiz (3 attempts allowed after 1 month)
✅ Course: Developed by Ellumenex.com and hosted on GSBX.org

🎯 Goal: Make AI knowledge accessible to everyone with this Free AI Course.
In fact, there is no other similar course on the Internet currently, which offers a comprehensive “Free AI Course with Certificate”. This course could be sold at $49 or $67, but we are offering this AI Course for free to remove the barrier of money from AI learning, so that maximum number of people across the world can learn about AI through this course, because AI knowledge is very important for any kind of job or career in the coming years, even this year 2025. Free Education is a founding goal of GSBX. Thanks.

Meet Your AI Teacher: Shankar AVSB
This AI Fundamentals Course (AI 101) has been created by Shankar AVSB, the Founder of Ellumenex and Director of GSBX. Shankar wrote his first AI program in PROLOG back in 1995 (they were called Expert Systems) while studying Electrical Engineering (to automatically control grid voltage based on 25+ technical parameters, which was often a big challenge for human engineers at various crunch times). Artificial intelligence was still in its academic infancy back then. While that AI program became fully functional and ready in 1996, it did not have the necessary interfaces to connect with external systems to execute its mission, because the landscape was not ready for AI back then (its still not fully ready in 2025). Since then, Shankar has been tracking the evolution of AI, along with evolution of the Internet and Blockchain technologies, along with 20 years in business consulting, financial markets and startups, helping companies and founders across industries understand their business models, challenges, and growth paths. He also has interest in AI system architecture and performance improvement of AI systems like Large Language Models (LLMs). Shankar founded Ellumenex to help businesses understand AI use cases and adopt AI with a clear roadmap.

By end June 2025, Shankar’s AI book will be published on Amazon:
“Beyond Human: The Journey into Artificial Intelligence”
The book traces the evolution of AI from its roots to the rise of LLMs and explores the future of AI, the future of work and business, and emergence of Humanoids in the coming decades. The book covers different scenarios of AI evolution and emphasizes the importance of AI Ethics for achieving a positive outcome from the global adoption of AI in almost every aspect of human life.

This AI Fundamentals Course (AI 101) has 50 lessons packaged in 8 modules, which gradually build on top of each other, to give you a full picture of what AI is, how AI works, what challenges and limitations are there with AI currently, and how AI may evolve over next 20-30 years. So the course covers the present in detail, and also shares a glimpse of the future. Welcome again!

Module 1: Introduction to Artificial Intelligence (Lessons 1–5)

  1. What is Artificial Intelligence (AI)?
  2. A Brief History of AI
  3. Types of AI: Narrow, General, Superintelligence
  4. AI vs Traditional Programming
  5. Why AI Matters Today (in business, society & daily life)

Module 2: Key Concepts in AI (Lessons 6–10)

  1. Machine Learning: The Engine of AI

  2. Neural Networks and How They Work

  3. Deep Learning: Going Deeper into AI

  4. Natural Language Processing (NLP)

  5. Computer Vision and Image Recognition

Module 3: How AI Learns (Lessons 11–15)

  1. Supervised Learning

  2. Unsupervised Learning

  3. Reinforcement Learning

  4. What Makes a Good AI Dataset?

  5. Training, Testing, and Evaluating AI Models

Module 4: AI Data, Ethics, Governance (Lessons 16–20)

  1. The Critical Role of Data in AI

  2. Ethics and Bias in AI

  3. Explainable AI (XAI)

  4. AI Governance – Who Oversees AI?

  5. Building an AI-Ready Organization

Module 5: AI in the Real World (Lessons 21–30)

  1. How is AI Used in Healthcare and Medical Diagnosis?

  2. AI in Autonomous Vehicles and Transportation

  3. Use of AI in the Financial Industry for Fraud Detection

  4. How Can AI Be Applied to Improve Customer Service and Chatbots?

  5. The Important Role of AI in Robotics

  6. How Is AI Used in Recommendation Systems Like Netflix or Amazon?

  7. AI in Supply Chain Management

  8. How Do Virtual Assistants Like Siri and Alexa Work?

  9. Applications of AI in Marketing and Advertising

  10. Predictive Maintenance Using AI

Module 6: AI with Nature and Natural Resources (Lessons 31–35)

  1. How Can AI Be Used in Predicting and Managing Natural Disasters?

  2. What Are the Applications of AI in Agriculture and Farming?

  3. AI in Energy and Utilities

  4. How Is AI Employed in Sentiment Analysis of People?

  5. What Role Does AI Play in Personalized Medicine and Genomics?

Module 7: Using AI in Daily Life & Business (Lessons 36–45)

  1. How Can AI Enhance Cybersecurity and Threat Detection?

  2. How Is AI Used in Language Translation and Localization?

  3. Applications of AI in Gaming and Entertainment

  4. AI for Optimization of Manufacturing Processes

  5. How Is AI Applied in Urban Planning and Smart Cities?

    Module 8: Important Points + Future of AI (Lessons 41–50)

  6. Ethical Considerations When Developing AI Systems

  7. How Do AI Systems Learn from Data? (Let’s learn again!)

  8. What Is Overfitting in Machine Learning?

  9. What Are the Limitations and Challenges of AI?

  10. Top 12 Future Trends in AI (Next 20–30 Years)

  11. The Importance of Explainable AI (XAI)

  12. AI and the Future of Human Interaction

  13. Ownership and Accountability in AI Projects

  14. How to Build a Business Case for AI

  15. Summary of Key Lessons + Common AI Use Cases

✅ Final Quiz + Certificate of Completion

  • Final Quiz Format: 50 multiple-choice questions (with one or more correct answers, which requires careful study of the lessons)

  • Threshold: Minimum Score for Receiving Certificate: 80% (at least 40 correct answers out of 50 questions)

  • Important Note: The final quiz can be taken only after 1 month of course registration or enrollment, because that 4-6 weeks is needed to study the course material properly. Please do not rush to take the final quiz because you will be able to pass it successfully only after you have studied the course material carefully. 3 attempts allowed to pass the final quiz.

  • Certificate: It will be issued by GSBX.org (3-5 days after you have successfully passed the final quiz). You can post it on LinkedIn. Each certificate will have a unique 8 digit reference number in this format (GSBX-12345678) which can be cross-verified for authenticity by any company, employer or university.

Register for this Free AI Course with Certificate

To Register for this course, please fill the form below. We will reply to you via email with course details, including lessons. Please write your full name exactly as it should appear on the Certificate. Thanks!