Course curriculum

    1. Segment 00: Welcome to the Course: Course Overview

    2. Segment 01: Introduction to the Course & Meet Your Instructor

    3. Segment 02: Foundations of LLMs and Introduction to RAG: Revolutionizing AI Solutions

    4. Segment 03: Reading - History and Evolution of LLMs

    5. Segment 04: Quick Start: Setting Up Your Environment for LLM Development

    6. Segment 05: Managing Context Windows

    7. Segment 06: Hands On Learning (HOL): Exploring LLM Integration in Real-World Applications

    1. Segment 07: RAG Component Breakdown

    2. Segment 08: Implementing Vector Search with FAISS in RAG Projects

    3. Segment 09: Tuning RAG for Optimization

    4. Segment 10: Reading - The Practical Applications of Retrieval-Augmented Generation in AI

    5. Segment 11: Hands On Learning (HOL): Implementing RAG

    1. Segment 12: Data Integration Strategies

    2. Segment 13: Building LLM Apps

    3. Segment 14: Deploying LLM Apps

    4. Segment 15: Deploying LLM Apps with FastAPI on Hugging Face

    5. Segment 16: Prompt Engineering

    6. Segment 17: Hands On Learning (HOL): Deploying Workflow Project

    7. Segment 18: Workflow Scaling and Security

    8. Segment 19: LLMOps: Tools, Platforms & Best Practices for Managing LLM Lifecycle

    9. Segment 20: Congratulations and Continuous Learning Journey

    10. Segment 21: Project: Exploring LLM Workflows

    11. Segment 22: Quiz: LLM Engineering with RAG: Optimizing AI Solutions

About this course

  • Free
  • 23 lessons
  • 2 hours of video content

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