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Generative AI Foundations

This hands-on Generative AI (GenAI) training course teaches attendees the fundamentals of GenAI, giving participants the skills to apply these powerful technologies to real-world scenarios. The...

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Course Code WA3497
Duration 3 days
Available Formats Classroom

This hands-on Generative AI (GenAI) training course teaches attendees the fundamentals of GenAI, giving participants the skills to apply these powerful technologies to real-world scenarios. The course introduces attendees to key concepts, terms, tools, GenAI prompt engineering, building a simple chatbot, and data analysis with OpenAI. This training teaches participants the core ideas and connects the conceptual dots behind GenAI. Students will reinforce their theoretical knowledge of the topics by working through numerous hands-on exercises and labs.

Prerequisites

Basic knowledge of Python and calling API Endpoints.

Course Details

Day 1

Introduction to Generative AI

  • Generative AIʼs Roots in Machine Learning
  • Understanding Language models
  • Word Embeddings and Language Encoding
  • Contrasting Generative and Discriminative Models
  • The first generative Models
  • Variational AutoEncoders
  • Generative Adversarial Networks (GAN)s
  • The original LLM models (text-based) – from BERT to GPT
  • Scope of Current Cloud- and Offline-Based LLMʼs
  • Lab: Accessing primitive vs modern LLMs to understand core limitations of LLMs

Generative AI Architecture

  • Transformers Architecture
  • Generative Pre-Trained Transformers (GPT)
  • Lab: Loading and Accessing GPT-2

Day 2

Prompt Engineering

  • Prompting Basics - What Prompting is and Why it Matters
  • Prompt Engineering Techniques
  • Zero-shot, Few-Shot, and more
  • Formatting Prompts
  • Lab: Accessing Closed-Source LLM Playground to test Prompt Engineering Techniques

Prompt Engineering with OpenAI

  • API Accessing OpenAI GPT Models
  • Creating a simple Chatbot
  • Building a comprehensive Prompting workflow
  • Lab: Building a simple Chatbot with Python using OpenAI API

Iterative Prompt Engineering for Development

  • Pair Programming to improve Software Development
  • Prompt Engineering as a new type of “programmatic” workflow
  • Charting and executing a Prompt Engineering Workflow for task automation
  • Lab: Building a simple task automation workflow/script with Generative AI

Day 3

Advanced Prompt Types

  • Accelerating Business need with Prompt Engineering
  • Advanced Pair Programming PE-accelerated Development (Code Assistance Tools)
  • Prompt Templates

Advanced Applications of Prompt Engineering and LLMʼs

  • Vision-based LLMs - Text to Image and Image Captioning
  • DALLE3
  • GPT4-Vision
  • Voice to Text and Text-to-Speech applications for Audio processing

Case Studies and Real-World Applications

  • Generative AI for Text Generative
  • AI for Media Generative
  • AI for Code
  • Lab: GPT4-Vision Lab with DALLE3

Data Analysis with OpenAI ChatGPT API

  • Threading, AI Assistants
  • Function Callbacks
  • Lab: Analyzing Public Dataset and Documents with AI Assistants

Roadmap to Enterprise Grade Generative AI Applications

  • Application Design Building Blocks
  • Use Cases of LLM Based Applications
  • Retrieval Augmented Generation
  • Fine-Tuning
  • Lab: Exploration and Brainstorm with your team to prepare for future work-streams related to Generative AI