Projects
Assignments
Overview
Developing Generative AI Applications on AWS is a two-day advanced course designed for software developers interested in leveraging large language models without fine-tuning. This course provides an in-depth understanding of generative AI, project planning, prompt engineering, and building generative AI applications using Amazon Bedrock and LangChain.
Objectives
By the end of this course, leaner will be able to:
- Describe generative AI and its alignment with machine learning.
- Identify business value and use cases for generative AI.
- Plan a generative AI project, understanding its steps, risks, and mitigations.
- Implement and demonstrate Amazon Bedrock in the AWS Management Console.
- Apply advanced prompt engineering techniques to specific models and use cases.
Prerequisites
- AWS Technical Essentials.
- Intermediate-level proficiency in Python.
- Basic understanding of machine learning concepts.
- Familiarity with cloud computing fundamentals.
- Previous experience with AWS services.
Course Outline
Module 1: Introduction to Generative AI – Art of the PossibleCourses2024-07-18T18:44:14+05:30
- Overview of ML and basics of generative AI
- Generative AI use cases and practical applications
- Risks and benefits
Module 2: Planning a Generative AI ProjectCourses2024-07-18T18:46:09+05:30
- Fundamentals, context, and steps
- Risk management and mitigation strategies
Module 3: Getting Started with Amazon BedrockCourses2024-07-18T18:48:29+05:30
- Introduction, architecture, and use cases
- Demonstration: Setting up Bedrock access and using playgrounds
Module 4: Foundations of Prompt EngineeringCourses2024-07-18T18:51:53+05:30
- Basics and advanced techniques
- Model-specific prompt techniques and bias mitigation
- Demonstration: Fine-tuning a basic text prompt
Module 5: Amazon Bedrock Application ComponentsCourses2024-07-18T18:54:36+05:30
- Overview of application components, RAG, and model fine-tuning
- Securing generative AI applications
- Demonstration: Word embeddings
Module 6: Amazon Bedrock Foundation ModelsCourses2024-07-18T18:58:03+05:30
- Introduction, inference methods, data protection, and auditability
- Demonstration: Zero-shot text generation
Module 7: LangChainCourses2024-07-18T18:59:29+05:30
- Integrating AWS and LangChain
- Optimizing LLM performance and constructing prompts
- Demonstration: Bedrock with LangChain using contextual prompts
Module 8: Architecture PatternsCourses2024-07-18T19:01:12+05:30
- Text summarization, question answering, chatbots, and code generation
- Demonstration: Various generative AI applications with Amazon Bedrock and LangChain
