What You Need to Know Before
You Start
Starts 18 June 2025 06:29
Ends 18 June 2025
00
days
00
hours
00
minutes
00
seconds
2 hours
Optional upgrade avallable
Intermediate
Progress at your own speed
Paid Course
Optional upgrade avallable
Overview
In this lab, you step through Jupyter notebooks and make API calls to generative artificial intelligence (generative AI) models that are hosted in Amazon Bedrock. The notebooks use Bedrock to generate and summarize text, answer questions, and build a chatbot.
Syllabus
- Introduction to Generative AI
- Setting Up the Environment
- Text Generation with Amazon Bedrock
- Text Summarization Techniques
- Question Answering with LangChain
- Building a Chatbot
- Review and Assessment
- Conclusion and Next Steps
Overview of Generative AI concepts
Introduction to LangChain and Amazon Bedrock
Jupyter Notebook installation and setup
Connecting to Amazon Bedrock
Introduction to text generation models
API calls to generate creative text content
Practical exercises in Jupyter Notebook
Overview of text summarization methods
Implementing summarization using Amazon Bedrock
Hands-on exercises to summarize documents
Introduction to question-answering models
Formulating and sending queries
Real-world exercise: Providing accurate answers to sample questions
Basics of chatbot design
Integrating generative AI models with chat interfaces
Developing a simple chatbot in Jupyter Notebook
Recap of key learnings
Project: Create a unique application using LangChain and Amazon Bedrock
Feedback and QA session
Summary of course outcomes
Resources for further learning in Generative AI and LangChain
Course completion and certification process
Subjects
Programming
