In this lab, you explore how to use the Amazon Nova Lite model through Amazon Bedrock API for intelligent question answering. You first examine the limitations of zero-shot prompting, and then learn how to enhance response accuracy by providing relevant context. This lab demonstrates both complete and streaming response generation methods, simulating a simplified version of Retrieval-Augmented Generation (RAG) for enterprise-level question answering systems.
Lab - Develop Conversation Pattern with Amazon Bedrock APIs
Ends soon! Get $70+ in savings and build skills with Coursera Plus. Save 40% for 3 months.

Lab - Develop Conversation Pattern with Amazon Bedrock APIs

Instructor: AWS Instructor
Included with Learn more
Gain insight into a topic and learn the fundamentals.
Advanced level
Recommended experience
1 hour to complete
Flexible schedule
Learn at your own pace
What you'll learn
Use the Amazon Nova Lite model through Amazon Bedrock API for intelligent question answering
Identify the limitations of zero-shot prompting and enhance response accuracy by providing context
Implement both complete and streaming response generation methods for RAG-based systems
Details to know

Shareable certificate
Add to your LinkedIn profile
Recently updated!
September 2026
Taught in English
See how employees at top companies are mastering in-demand skills

There is 1 module in this course
Instructor

Offered by
Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."

Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."

Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."



