Module 1. Introduction to Course
- Welcome
- Overview: AI/ ML/ DL/ GenerativeAI
- Overview: Types of GenAI Models
Module 2. Foundational Model & LLM
- Foundational Model in Depth
- Large Language Model in depth
- Building your own Foundational Models
- Prompt Engineering
- Limitation & Intuitions behind prompt engineering
Lab- Building Text to Image using AWS Foundational Model
Module 3. Fine Tuning Foundational Model
- Fine Tuning Foundational Model
- Integrating LLM into business workflow
- Text-generation with GPT
- Azure Copilot with OpenAI Studio
Lab - Building Text Summarization using AWS Foundational Model service.
Module 4: Prompt Engineering
- Prompt Writing
- Creating Effective Prompt
- Crafting Conversational Flow
- ChatGPT Prompts
- Ethics and Consideration in Prompt Engineering
Lab - Building Question Answering system with OpenAI service.
Module 5: Generating Code using GenAI
- Code Generation from instruction
- Prompt Engineering with Code
- Amazon Code Whisperer
Lab – CodeWisperer
Module 6: Generating Images using GenAI
- Text to image
- Image to image
- Text+Image to image
- Fine tuning image models
Lab - Bedrock
Module 7: Generating Text using GenAI
- Token
- Prompt Engineering in Text Generation
Lab - ChatGPT, Bedrock
Module 8: Scaling & Deploying
- Scaling & deploying GenAI models on Cloud
- Designing Secure solutions on Cloud
Lab - SageMaker Inference & deployment