Course curriculum

  • 1

    Module 1: Introduction to Artificial Intelligence

    • Definition of AI

    • Brief history and evolution of AI

    • Current state of AI and future trends

    • Quiz
  • 2

    Module 2: Foundations of AI

    • Types of AI: Narrow AI, General AI, and Superintelligent AI

    • Major Approaches to AI: Symbolic, Machine Learning, and Hybrid

    • Quiz
  • 3

    Module 3: Basics of Machine Learning

    • Basic of Machine Learning

    • Types of Machine Learning

    • Overview of Deep Learning

    • Understanding Bias-Variance Trade-off

    • Quiz
  • 4

    Module 4: AI Technologies and Algorithms

    • Fundamental Algorithms in AI and ML

    • Introduction to Neural Networks

    • Natural Language Processing (NLP)

    • Computer Vision (CV)

    • Quiz
  • 5

    Module 5: Practical Applications of AI

    • AI in Healthcare

    • AI in Business and E-commerce

    • AI in Autonomous Vehicles

    • AI in Entertainment

    • AI in Finance

    • AI in Technology (Ai in Blockchain )

    • AI in Technology (AI in IOT)

    • Quiz
  • 6

    Module 6: Ethical Considerations in AI

    • Understanding AI Ethics

    • Potential Pitfalls and Controversies in AI

    • Strategies for Responsible AI Deployment

    • Quiz
  • 7

    Module 7: Prompt Engineering

    • What is Prompt Engineering?

    • Importance of Prompt Engineering

    • Applications of Prompt Engineering

    • Quiz
  • 8

    Study Material

    • Study Material