[2026] Complete AWS Bedrock Generative AI Course + Projects

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[2026] Complete AWS Bedrock Generative AI Course + Projects Reviews & Product Details

The AWS Bedrock landscape is evolving rapidly, and Patrik Szepesi's comprehensive course provides developers, cloud architects, and AI enthusiasts with the exact tools needed to master generative AI on AWS. Designed for all levels, this course dives deep into AWS Bedrock, walking students through the creation of advanced multi-agent workflows, real-time voice agents, and sophisticated document chat systems. Throughout the curriculum, you will explore cutting-edge concepts such as short-term and long-term agent memory, Reinforcement Fine-Tuning, and Bedrock Data Automation for extracting key insights from videos, images, and audio files. Students will gain practical, hands-on experience building serverless machine learning applications using the robust AWS serverless stack, including AWS Lambda, API Gateway, S3, and Bedrock AgentCore. Whether you want to deploy production-ready agentic collaborations, design intelligent prompt routing to save on inference costs, or implement security features to identify AI-generated images, this course offers the perfect balance of theory and real-world projects. By the end of this journey, you will confidently build, train, evaluate, and deploy scalable generative AI solutions in the cloud.

Best For

Cloud developers and AWS architects aiming to integrate Generative AI into serverless architectures. Engineers who need to build and deploy production-ready AI agents using AWS Bedrock and AgentCore. AI enthusiasts looking for hands-on experience with advanced workflows like multi-agent collaboration and voice agents. Professionals seeking to master cost-effective LLM deployment through prompt routing and batch inference.

Not For

Absolute beginners with no prior experience in cloud computing or basic AWS services. Data scientists looking for deep mathematical theory of transformer architecture rather than practical implementation. Developers who strictly want to build local AI models rather than scalable, serverless cloud solutions.

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About the Creator

Patrik Szepesi

Patrik Szepesi is an experienced cloud engineer and technical educator dedicated to demystifying the world of cloud-based artificial intelligence. With a specialized focus on Amazon Web Services (AWS) and its cutting-edge generative AI capabilities, Patrik bridges the gap between complex machine learning theory and practical, real-world deployment. His professional background spans designing robust cloud architectures and integrating advanced language models into enterprise workflows. As an instructor, Patrik adopts a hands-on, project-driven approach to teaching. He believes that the best way to master technology is by building, which is why his courses are structured around tangible, real-world projects rather than dry theoretical lectures. He guides students step-by-step through configuring AWS environments, implementing Foundation Models via Amazon Bedrock, and securing AI endpoints. Through clear explanations, structured walkthroughs, and practical troubleshooting tips, Patrik empowers software developers, cloud architects, and tech enthusiasts to harness the full potential of next-generation AI systems efficiently and securely.

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