Course curriculum

    1. Introduction

    2. Project Setup

    3. LLM Use Cases

    4. LLM Landscape

    5. Risk and Challenges with LLMs

    6. LLM Usage Exercise

    1. Choosing an LLM

    2. Neural Networks Basics

    3. Tokenization Exercise

    4. Training ML Models

    5. Fine Tuning LLMs

    6. LoRA

    7. Fine-Tuning with LoRA - Hands On

    1. Prompt Engineering

    2. RAG (Retrieval Augmented Generation)

    3. Monitoring and Deployment

    4. Quantization

    5. LLM Application Evaluation

    1. LLM Project

About this course

  • $29.99
  • 19 lessons
  • 0.5 hours of video content

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