Course curriculum

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

    2. Segment 01: Course Introduction

    3. Segment 02: Generative AI Impact on Engineering

    4. Segment 03: Fundamentals of Generative AI Systems Architecture

    5. Segment 04: Setting Up GenAI Development Environments Local _ Cloud

    6. Segment 05: Enterprise Implementation Success Stories

    7. Segment 06: Hands-On-Learning: Introduction to Generative AI

    8. Segment 07: Reading - A Survey of Generative Artificial Intelligence

    1. Segment 08: LLM Components and Core Mechanics

    2. Segment 09: Enterprise LLM Model Comparison

    3. Segment 10: LLM Integration and API Setup

    4. Segment 11: Strategic Model Selection Framework

    5. Segment 12: Hands-On-Learning: LLM Integration and API Setup

    6. Segment 13: Reading - A Brief Survey of Large Language Models

    1. Segment 14: Enterprise GenAI Application Matrix

    2. Segment 15: Industry-Specific Solution Architecture

    3. Segment 16: Support Assistant System Design

    4. Segment 17: ROI Measurement and Metrics

    5. Segment 18: Hands-On-Learning: Support Assistant System Design

    6. Segment 19: Reading - Generative AI Use Cases: A Primer

    7. Segment 20: Quiz - GenAI Use Cases

    1. Segment 21: Data Pipeline Requirements Analysis

    2. Segment 22: Enterprise Data Pipeline Design

    3. Segment 23: Data Processing System Implementation

    4. Segment 24: Data Quality Validation Framework -Ritesh

    5. Segment 25: Hands-On-Learnings: Data Processing

    6. Segment 26: Reading - Data Preparation for Machine Learning

    1. Segment 27: RAG System Architecture Design

    2. Segment 28: RAG Architecture - Component Integration Fundamentals

    3. Segment 29: RAG Implementation Best Practices-

    4. Segment 30: RAG System Testing Protocol

    5. Segment 31: Hands-On-Learning: RAG Fundamentals

    6. Segment 32: Reading - Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

    1. Segment 34: Advanced RAG Pattern Analysis

    2. Segment 35: Performance Optimization Techniques Framework

    3. Segment 36: Complex RAG System Development

    4. Segment 37: Enterprise Integration Best Practices

    5. Segment 38: Hands-On-Learning: Advanced RAG: Complex RAG System Development

    6. Segment 39: Reading - Retrieval-Augmented Generation: Recent Advances and Future Directions

About this course

  • Free
  • 48 lessons
  • 3 hours of video content

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