Lab - Explore Generative AI Use Cases with LangChain and Amazon Bedrock

Overview

Master practical generative AI development using LangChain and Amazon Bedrock through hands-on exercises in text generation, summarization, chatbots, and code generation.

Syllabus

- Introduction to Generative AI -- Overview of Generative AI concepts -- Introduction to LangChain and Amazon Bedrock - Setting Up the Environment -- Jupyter Notebook installation and setup -- Connecting to Amazon Bedrock - Text Generation with Amazon Bedrock -- Introduction to text generation models -- API calls to generate creative text content -- Practical exercises in Jupyter Notebook - Text Summarization Techniques -- Overview of text summarization methods -- Implementing summarization using Amazon Bedrock -- Hands-on exercises to summarize documents - Question Answering with LangChain -- Introduction to question-answering models -- Formulating and sending queries -- Real-world exercise: Providing accurate answers to sample questions - Building a Chatbot -- Basics of chatbot design -- Integrating generative AI models with chat interfaces -- Developing a simple chatbot in Jupyter Notebook - Review and Assessment -- Recap of key learnings -- Project: Create a unique application using LangChain and Amazon Bedrock -- Feedback and QA session - Conclusion and Next Steps -- Summary of course outcomes -- Resources for further learning in Generative AI and LangChain -- Course completion and certification process

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