Course Curriculum

    1. Introduction

    2. Learning Objectives

    1. How Do Machines See?

    2. How Do Machines Read?

    3. How Are These Relationships Captured?

    4. Quiz

    1. Tokenization

    2. Activity – Decode your words

    3. Embeddings

    4. Tokens Vs. Embeddings

    5. Vector Databases

    6. What Are Large Language Models?

    7. Prompt Engineering

    8. Quiz

    1. Customizing LLMs

    2. Training Models from Scratch

    3. In-Context Learning

    4. Fine-Tuning Models

    5. Retrieval-Augmented Generation

    6. Quiz

    1. Prologue

    2. Types of Challenges

    3. Human Behavior Challenges

    4. Business Challenges

    5. Prompting Challenges

    6. Quiz

    1. Graded Quiz

About this course

  • Free
  • 32 lessons
  • 1.5 hours of video content