Whizlabs

AWS: Generative AI & Bedrock

Keep adding new skills with 10,000+ programs for $239 (usually $399). Save now.

Whizlabs

AWS: Generative AI & Bedrock

Whizlabs Instructor

Instructor: Whizlabs Instructor

Included with Coursera Plus

Ask Coursera

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

7 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

7 hours to complete
Flexible schedule
Learn at your own pace

Details to know

Shareable certificate

Add to your LinkedIn profile

Recently updated!

June 2026

Assessments

6 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

 logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Build your subject-matter expertise

This course is part of the AWS Core+ Business focus for Team Managers Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 3 modules in this course

Welcome to the Generative AI Foundations module. In this module, you'll build a strong understanding of the core concepts behind Generative AI. We'll begin by exploring What is a Generative AI Model, along with key terminology, common use cases, challenges, and the major components that power generative AI systems. Next, you'll learn about the Lifecycle of Foundation Models, the different Types of Foundation Models, and how organizations select the right models for specific business needs. Finally, you'll explore Business Metrics for Generative AI, helping you understand how organizations measure the value, performance, and impact of AI initiatives. By the end of this module, you'll have a solid foundation in Generative AI concepts and be prepared to explore advanced AI services and applications.

What's included

8 videos2 readings2 assignments1 discussion prompt

Welcome to the Amazon Q & Amazon Bedrock Fundamentals module. In this module, you'll explore AWS's generative AI services and learn how organizations build AI-powered applications and assistants. You'll begin with Amazon Q Business, Amazon Q Apps, and Amazon Q Developer, understanding how these services help improve productivity, automate tasks, and accelerate software development. Next, you'll dive into Amazon Bedrock, starting with an overview and demo to understand how it provides access to leading foundation models through a fully managed service. You'll also learn how to choose the right foundation model for different business use cases. Finally, you'll explore foundation model fine-tuning, evaluation metrics, PartyRock - Amazon Bedrock Playground, and Amazon Bedrock pricing, helping you understand how to customize, evaluate, experiment with, and optimize AI solutions on AWS. By the end of this module, you'll have a solid understanding of Amazon Q, Amazon Bedrock, foundation models, and key considerations for building generative AI applications on AWS.

What's included

10 videos1 reading2 assignments

Welcome to the RAG, Knowledge Bases & AI Agents module. In this module, you'll explore how modern AI applications retrieve and use enterprise knowledge to generate more accurate and context-aware responses. You'll begin with Understanding RAG Architecture of LLMs and explore AWS Services for Storage of Vector Embeddings, learning how Retrieval Augmented Generation improves AI outputs using external knowledge sources. You'll then see these concepts in action through the Amazon Bedrock RAG & Knowledge Base Demo. Next, you'll learn how to implement responsible AI using Amazon Bedrock Guardrails, along with a hands-on demo to understand safety controls, content filtering, and governance capabilities. Finally, you'll explore Amazon Bedrock Agents, model evaluation techniques, and integrations with services such as Amazon S3 and Amazon CloudWatch, helping you understand how intelligent agents can automate workflows and interact with enterprise systems. By the end of this module, you'll understand how to build secure, scalable, and knowledge-driven AI solutions using Amazon Bedrock.

What's included

6 videos3 readings2 assignments

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Whizlabs Instructor
Whizlabs
166 Courses125,928 learners

Offered by

Whizlabs

Explore more from Software Development

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."

Frequently asked questions