Welcome to

AI Bootcamp

Course Syllabus and Content

Module 1

Introduction to AI and LLMs

3 Lessons

Foundational Model Knowledge

  • 01Introduction
    Sneak Peek 
  • 02Understanding Large Language Models
    Sneak Peek 
  • 03Demystifying AI Terminology
    Sneak Peek 
Module 2

AI Ecosystem and Market Overview

5 Lessons

The AI Landscape

  • 01Overview of the AI Ecosystem
    Sneak Peek 
  • 02The Market Landscape
    Sneak Peek 
  • 03Key AI-Centric Startups
    Sneak Peek 
  • 04Platform Integrations
    Sneak Peek 
  • 05App Integrations
    Sneak Peek 
Module 3

Developer Tools and Frameworks

3 Lessons

Building Blocks of AI Development

  • 01Introduction to Developer Libraries and Frameworks
    Sneak Peek 
  • 02Understanding Datasets and Checkpoints
    Sneak Peek 
  • 03Overview of APIs and Vector Databases
    Sneak Peek 
Module 4

How LLMs Predict

3 Lessons

Decoding the Prediction Mechanism

  • 01Autoregressive Decoding Explained
    Sneak Peek 
  • 02The Role of Vectors in LLMs
    Sneak Peek 
  • 03The Architecture of a Large Language Model
    Sneak Peek 
Module 5

Embeddings and Transformations

3 Lessons

Transforming Inputs to Outputs

  • 01Converting Words into Vectors
    Sneak Peek 
  • 02Transformer Architecture
    Sneak Peek 
  • 03Interacting with Word Embeddings
    Sneak Peek 
Module 6

Self-Attention Mechanism

3 Lessons

Enhancing Contextual Understanding

  • 01What is Self-Attention?
    Sneak Peek 
  • 02Queries, Keys, and Values
    Sneak Peek 
  • 03Multi-Head Attention and Its Variants
    Sneak Peek 
Module 7

Positional Encoding and Context

3 Lessons

Understanding Contextual Relevance

  • 01Importance of Positional Encoding
    Sneak Peek 
  • 02Skip Connections and Their Benefits
    Sneak Peek 
  • 03Normalization Techniques in Neural Networks
    Sneak Peek 
Module 8

Advanced Attention Mechanisms

2 Lessons

Diving Deeper into Attention

  • 01Multi-Query and Grouped-Query Attention
    Sneak Peek 
  • 02Transformer Diagrams and Flash Attention
    Sneak Peek 
Module 9

Optimizing LLM Inference

3 Lessons

Enhancing Performance and Efficiency

  • 01Memory and Compute Bound Issues
    Sneak Peek 
  • 02Techniques for Making LLM Inference Faster
    Sneak Peek 
  • 03Quantization and Speculative Decoding
    Sneak Peek 
Module 10

Practical Applications of LLMs and Interview Prep

4 Lessons

Building Real-World Applications and Interview Prep

  • 01Creating Chatbots and Code Editors
    Sneak Peek 
  • 02Integrating LLMs with Existing Platforms
    Sneak Peek 
  • 03Future Trends in AI and LLM Development
    Sneak Peek 
  • 04Preparing for Machine Learning Interviews
    Sneak Peek