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Patrik Szepesi's [2026] Complete AWS Bedrock Generative AI Course + Projects Course Review

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Multi Agents, Document Chat, Image Diffusion, Reinforcement Fine-Tuning, Voice Agents, Agent Memory, AgentCore + more

Learning Format Online Course

Subcategory Generative AI

Course Price $49.99 (list $9.99)

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About Patrik Szepesi

Multi Agents, Document Chat, Image Diffusion, Reinforcement Fine-Tuning, Voice Agents, Agent Memory, AgentCore + more

Who Is Patrik Szepesi?

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Total Students

15,102 students

Official Website

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Course Language

English

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What Do You Learn in Patrik Szepesi's Course?

AWS Bedrock

Learn how to Extract Information from Videos, Images, Audio, and Documents with Bedrock Data Automation

Create Multi Agentic Workflows on AWS Bedrock

Add Long Term + Short Term Memory to your Agents

Generative AI

Build Serverless Machine Learning applications

Deploy Your Agents in Production to AWS Bedrock AgentCore

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

Understand short-term vs long-term agent memory and when to use each

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

Use lifecycle hooks to load and save agent memory automatically

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

Build a web search agent with AWS Strands and DuckDuckGo

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

Add long-term memory with semantic and preference strategies

Deploy agents to production using Bedrock AgentCore Runtime

Implement short-term memory for conversation tracking

AWS Strands Framework

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