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Keep shoppingAWS Bedrock: Build Gen AI Apps and Agents using Bedrock
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13 students
AWS Bedrock: Build Gen AI Apps and Agents using Bedrock
Learn to build scalable AI applications using Amazon Bedrock with RAG pipelines, memory & agent workflows
Created byStart-Tech Trainings, Start-Tech Academy
Last updated 6/2026
English
What you'll learn
- Build a strong foundation in Generative AI by understanding how modern AI models work and how to effectively use Amazon Bedrock to create real-world application
- Set up your AWS environment from scratch and confidently use the Bedrock Playground to experiment with multiple foundation models and compare their outputs
- Write clear, structured, and effective prompts, and design reusable prompt templates to control AI behavior and generate consistent, high-quality results
- Understand the limitations of AI models, including why they don’t have access to your data, and apply best practices to improve accuracy and reliability
- Implement Retrieval-Augmented Generation (RAG) step by step by creating IAM users, building knowledge bases, and connecting your own data to AI systems
- Build intelligent AI agents using Bedrock Agent Core, integrate tools, and add memory to enable more advanced, context-aware interactions
- Generate both text and images using AI models in Bedrock and apply them to practical, real-world use cases and workflows
- Design and develop end-to-end AI-powered applications by combining prompting, RAG, and agents into complete, scalable solutions
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Course content
12 sections • 32 lectures • 2h 12m total length
Requirements
- No prior AI or coding experience required—just basic computer knowledge, a laptop with internet, and a free AWS account to use Amazon Bedrock
Description
Are you a developer, cloud engineer, AI enthusiast, or working professional looking to build real-world Generative AI applications on AWS?
Imagine being able to integrate powerful AI models into your applications, build intelligent agents, generate text and images, and even connect AI with your own data — all without managing complex infrastructure.
Amazon Bedrock is a powerful AWS service that allows you to access multiple foundation models and build scalable AI applications with ease. Instead of worrying about model deployment, infrastructure, or scaling, you can focus directly on building practical AI solutions.
In this course, you will learn how to use Amazon Bedrock from scratch — starting from AI fundamentals to building advanced AI agents with memory and Retrieval-Augmented Generation (RAG).
This course takes a hands-on, practical approach, showing how to build real AI-powered applications step by step using AWS Bedrock.
What You Will Learn
Understanding what AI is and how modern AI systems work
Getting started with Amazon Bedrock and setting up your AWS environment
Exploring the Bedrock Playground and working with multiple LLMs
Controlling AI behavior and generating images using Bedrock
Writing effective prompts and creating reusable prompt templates
Understanding why AI models don’t have access to your data by default
Implementing Retrieval-Augmented Generation (RAG) step by step
Creating IAM users and knowledge bases for secure AI applications
Building AI agents using Bedrock Agent Core and tools
Adding memory to agents for more intelligent interactions
Understanding real-world use cases of AI in applications
Why This Course Is Important
Generative AI is transforming how applications are built.
From chatbots and automation tools to intelligent assistants and enterprise solutions, AI is becoming a core part of modern software systems.
However, building AI systems from scratch can be complex — requiring infrastructure management, model deployment, and scaling challenges.
Amazon Bedrock simplifies this by providing access to powerful models through a managed service.
By learning Bedrock, you can focus on building applications instead of managing infrastructure.
Organizations are rapidly adopting Generative AI, and professionals who understand how to implement AI solutions on cloud platforms like AWS are in high demand.
This course helps you gain practical, job-relevant skills that you can apply immediately.
What Makes This Course Unique
This course focuses on practical implementation rather than just theoretical AI concepts.
Each lecture demonstrates how Amazon Bedrock can be used to build real-world applications step by step — including working with multiple models, controlling outputs, integrating your own data using RAG, and building intelligent agents with tools and memory.
The content is explained in simple and clear language, making it easy to follow even if you have no prior experience with AI or AWS.
You will learn how to write effective prompts, generate structured outputs, and directly apply them in real-world scenarios.
No prior AI experience is required. Whether you are a beginner or an experienced professional, this course will help you integrate Generative AI into practical applications and workflows.
Start Building AI Applications on AWS
AI is no longer just a trend — it is becoming a core skill for developers and professionals.
With Amazon Bedrock, building AI-powered applications is now more accessible than ever.
In this course, you will learn how to:
Build AI applications step by step
Work with powerful foundation models
Create intelligent agents and workflows
Integrate AI into real-world use cases
If you are ready to move beyond theory and start building practical AI solutions on AWS, this course will give you the skills and confidence to do it.
Enroll now and start your journey with Amazon Bedrock.
Who this course is for:
- Developers who want to move beyond theory and build real-world Generative AI applications using Amazon Bedrock, including RAG pipelines and AI agents
- Cloud engineers and AWS users who want to expand into AI by learning how to integrate foundation models into scalable, production-ready applications
- AI enthusiasts looking for a hands-on, practical approach to understand how modern AI systems work and how to implement them in real use cases
- Beginners with little or no prior AI experience who want a step-by-step guide to start building AI applications from scratch without feeling overwhelmed
- Students and job seekers aiming to develop in-demand skills in Generative AI, prompt engineering, RAG, and agent-based systems to improve career opportunities
- Working professionals who want to automate tasks, build smarter workflows, and leverage AI to improve efficiency in their daily work
- Tech professionals interested in learning how to connect AI with their own data, build knowledge bases, and create intelligent, context-aware AI systems
- Anyone curious about building scalable AI solutions using AWS without managing complex infrastructure, and applying those skills in real-world scenarios