Beginners guide to learn and build Generative AI applications on AWS Bedrock

Intro and hype of GenAI

Generative AI (GenAI) a new field of artificial intelligence has taken the world on revolution with OpenAI Chatgpt being launch almost an year back. Using this we can create entirely new things, from text and images to code and music. It has the potential to transform many industries and our daily lives.

What future holds:

The Future of GenAI is very promising. With every predictions that GenAI models are going to become more sophisticated, affordable and accessible. We can expect even more creative applications, automation of complex tasks, and a deeper understanding of the world around us.

GenAI is going to increase enhanced creativity, increase efficiency, personalize experiences and propel speed of new discoveries.

Amazon Bedrock

Amazon Bedrock is a powerful platform that makes GenAI more accessible and user-friendly. AWS is bringing its decade long cloud leadership and experience in making GenAI available for developers and users.

Why Amazon Bedrock matters:

Amazon Bedrock is going to significantly effect the GenAI ecosystem due to following reaons:

  • Lower Barrier to Entry: Bedrock provides access to powerful generative models from various AI providers through a single platform. This eliminates the need for extensive technical knowledge. learning curve and huge cost investment. Pay-per-use model will make it more easily accessible.

  • Simplified Development: Bedrock offers pre-built tools and playgrounds for experimentation and fine-tuning models. Being part of AWS cloud it has deep integrations with various core AWS services like Opensearch, S3, IAM, KMS etc which will make development faster and simpler.

  • Focus on Innovation: Bedrock will abstract the infrastructure and technical complexities so that application developers can just focus on innovation rather than going into research which is different area of expertise.

Amazon Bedrock for Beginners: A Hands-on Guide for developers

This guide gets you started with Amazon Bedrock, a powerful tool for building generative AI applications. I'll break down the key concepts and present you a path forward to start your learning journey. The whole learning journey has been broken down in multiple modules.


This guide is focused on developer. I assume you should have basic understanding of GenAI ecosystem, prompting and AWS cloud. If not then these modules are also important to learn.

Getting Started (Optional):

  • Module 1: Introduction module covers the core ideas of generative AI and Amazon Bedrock if you are totally unaware of GenAI and its impact.

  • Module 2: Intro to AWS (optional) module is essential guides you through setting up an AWS account if you don't already have one. You should also learn basic AWS cloud services before going to use Amazon Bedrock.

  • Module 3: Prompt Engineering (optional) teaches you how to craft effective prompts, which are starting points for AI generation. It is optional but important to get quality response from the models.

Hands-on with Amazon Bedrock:

Once you have learnt the above concepts or modules then you are ready to dive into learning Amazon Bedrock with following lessons.

  • Module 4: In this module you should dive into learning Amazon Bedrock's playgrounds and demos. Here, you'll experiment with pre-built models for text, chat, and image generation. You'll also learn to fine-tune these models for specific tasks.

Deep Dive into Amazon Bedrock:

  • Module 5: Building Your App goes under the hood of Amazon Bedrock. You'll learn best practices for designing and building cost-effective and secure generative AI applications.

Building a Knowledge Base:

  • Module 6: Knowledge Base teaches you how to build a knowledge base, which is a collection of information your AI can access. You'll also learn how to secure this data.

Building Generative AI Agents:

  • Module 7: Building Agents walks you through creating secure and scalable generative AI applications. You'll learn to design and integrate the key components of these applications, called agents.

Building GenAI apps with Amazon Bedrock:

Building Generative AI Applications with Python:

  • Module 8: Building Applications shows you how to leverage foundational models for various applications. You'll build simple generative AI chatbots, image generators, and more using Python.

Wrapping Up:

  • Module 9: Putting it All Together discusses the ethical considerations of generative AI and how to stay updated on the latest developments in Amazon Bedrock. You'll also learn how to troubleshoot common issues.