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 - Redaing: 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 Foundations

    1. Segment 21 - Model Fine-tuning Core Concepts

    2. Segment 22 - Training Data Preparation Guide-

    3. Segment 23 - Basic Fine-tuning Implementation Process

    4. Segment 24 - Model Testing Evaluation Framework

    5. Segment 25 - Hands-On-Learning: Fine-Tuning Basics

    6. Segment 26 - Reading: A Survey on Fine-Tuning of Pretrained Language Models

    1. Segment 27 - Advanced Fine-tuning Strategy Design

    2. Segment 28 - Performance Metric Analysis Framework

    3. Segment 29 - Advanced Fine-tuning Implementation Guide

    4. Segment 30 - Model Iteration Process Framework

    5. Segment 31 - Hands-On-Learning: Advanced Fine-tuning

    6. Segment 32 - Reading: Parameter-Efficient Fine-Tuning of LLMs: A Survey

    1. Segment 33 - Support Data Preparation Strategy

    2. Segment 34 - Support Model Training Framework

    3. Segment 35 - Support Model Implementation Guide

    4. Segment 36 - Quality Control Testing Protocol

    5. Segment 37 - Hands-On-Learning: Fine-Tuning for Support

    6. Segment 38 - Reading: Ultimate Guide to Fine-Tuning

    7. Segment 39 - Quiz: GenAI Model Development

About this course

  • Free
  • 73 lessons
  • 4.5 hours of video content

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