What you'll learn:
- AWS Bedrock
- Learn how to Extract Information from Videos, Images, Audio, and Documents with Bedrock Data Automation
- Create Multi Agentic Workflows on AWS Bedrock
- Generative AI
- Build Serverless Machine Learning applications
- How to Use Reinforcement Fine Tuning with AWS Bedrock to Train Your Own Models
- Fine Tune LLMs in the cloud
- Build production ready applications with Aws Serverless stack such as Bedrock, Lambda and Api Gateway and S3
- Train and Evaluate LLMs with your own custom data
- Building Production Grade Voice agents on AWS
- AWS Bedrock Pricing
- Summarise your meeting notes in a matter of seconds
- Serverless Architecture
- API Gateway
- AWS Bedrock 2026 Updates
- Deploy Multi Agentic Workflows with Streamlit
- Intelligent Prompt Routing, and How to save Time on Money on your LLM Inferences
- Image Generation
- Text Summarisation with NLP
- Text Creation through NLP
- Stability AI and diffusion models for image generation
- Anthropic AI
- Learn How to Build true Bidirectional Voice Agents on AWS
- Connect your data in S3 with AWS Bedrock
- Set up Lambda Layers
- Evaluate your LLMs with AWS Bedrock Evaluator
- Prompt Management, Version Control, Prompt Promotion
- How to Write Good Prompts with Bedrock
- Use Agent Collaborations for tasks
- Chat with Documents
- Using AWS Batch Inference to Get Cheaper Inference on your LLM Calls
- Identify if an Image Was Created with AI
- Prompt Optimization
- Create Bedrock Data Automation Blueprints for your Custom Domain
- Building Interruptible Voice Agents
AWS Bedrock Generative AI + LLMs — Comprehensive Guide From Prompts to Production — Build, Deploy & Scale Real-World AI on AWS
AWS Bedrock is Amazon Web Services' fully managed platform for building Generative AI applications. It lets you work with powerful foundation models while abstracting away infrastructure complexity. This course will take you from zero to building production-ready AI applications — even if you're completely new to Generative AI.
Projects will integrate AWS Bedrock with API Gateway, AWS Lambda, S3, Postman, and other essential AWS services.
5 Real-World Projects You'll Build
Chat With Your Own Data — Ask questions about your own documents using Bedrock-powered AI
Code Generation — Write and generate code using foundation models on Bedrock
Image Generation — Generate images using diffusion models via AWS Bedrock
Intelligent Multi-Agent System — A hotel & restaurant recommender powered by multi-agent AI
Voice-Powered Hotel Front Desk AI Agent — Real-time voice AI using AWS Bedrock Nova Sonic
What You'll Learn
AWS Bedrock & Generative AI Foundations Understand what AWS Bedrock is, how it fits into the Generative AI ecosystem, and how modern AI applications are built using managed foundation models — explained in a beginner-friendly way.
Large Language Models (LLMs) Learn how LLMs work, what they excel at, and where their limitations lie. Explore real-world use cases including document understanding, chat systems, and code generation using Bedrock-hosted models.
Fine-Tuning & Reinforcement Fine-Tuning (RFT) Go beyond basic prompting. Learn how models can be improved using fine-tuning and RFT with human feedback, when and why to use these techniques, and how they fit into modern AI workflows.
Prompt Management & Optimization Design, manage, version, and optimize prompts for consistent, reliable results. Learn why prompt management becomes critical as applications scale and evolve.
Intelligent Model Routing Discover how to route requests intelligently between different models based on task type, cost, or quality — choosing the right model at the right time.
Batch Inference & Data Automation Process large volumes of data efficiently using batch inference, and automate document and data workflows using AWS Bedrock for scalable AI processing.
Image Generation with Diffusion Models Explore image generation concepts using diffusion models — including how to generate, control, and deploy image-based AI features at scale.
AI Safety, Evaluation & Watermark Detection Evaluate your LLMs for quality, accuracy, and toxicity. Understand AI safety concepts including watermark detection and responsible AI usage.
Serverless Deployment & Scaling Deploy Generative AI applications using a fully serverless stack — AWS Lambda, API Gateway, S3, and Bedrock — and scale AI applications without managing any servers.
By the End of This Course, You Will Be Able To:
Build and deploy Generative AI applications using AWS Bedrock
Chat with documents and structured data
Generate text, code, and images using foundation models
Improve model behaviour with fine-tuning and reinforcement fine-tuning
Manage and optimize prompts at scale
Route requests intelligently between models
Run batch inference jobs for large datasets
Evaluate and monitor LLM outputs for safety and quality
Deploy scalable, serverless AI systems on AWS
Build intelligent multi-agent AI systems
Create real-time voice AI agents using AWS Bedrock Nova Sonic
Who Is This Course For?
Aspiring AI developers who want practical, hands-on skills with AWS
Cloud engineers looking to add Generative AI to their toolkit
Curious beginners who want to understand and build with modern AI — no prior experience required
Whether you're new to AI or an experienced cloud engineer, this course gives you practical skills, real projects, and a strong foundation for working with AWS Bedrock and modern AI systems.
Join us and explore the future of Generative AI with AWS Bedrock — from prompts to production.
