AWS Machine Learning & AI Courses and Certifications

Career Certificate

AWS Generative AI and AI Agents with Amazon Bedrock

93 ratings at Coursera

Unlock AWS generative AI development skills using Amazon Bedrock to build intelligent applications with foundation models, agents, and knowledge bases for enterprise solutions.

• Coursera
• 8 weeks, 3 hours/week
• Self-Paced
• Paid Course
• 3 courses

Build Production Ready AI Agents on AWS-Bedrock,CrewAI & MCP

1520 ratings at Udemy

Build 4 Hands-On AI Agents on AWS - Amazon Bedrock, CrewAI & MCP. Learn Agentic AI, Tool Use, Memory & Multi-Agent

• Udemy
• 9 hours 35 minutes
• Self-Paced
• Paid Course

Amazon Bedrock - The Complete Guide to AWS Generative AI

1374 ratings at Udemy

Learn to Deploy Scalable, Reliable, and Secure Generative AI Apps Using AWS and Amazon Bedrock (Python and TypeScript)

• Udemy
• 8 hours 3 minutes
• Self-Paced
• Paid Course

Getting Started with AWS Generative AI for Developers

55 ratings at Coursera

Get introduced to generative AI with this foundational course designed for developers looking to use AWS' generative AI services. This course serves as your gateway to understanding and implementing generative AI solutions using Amazon Bedrock. You'll b…

• Coursera
• 9 hours 9 minutes
• Self-Paced
• Paid Course

Become an AWS SageMaker Machine Learning Engineer in 30 Days

1243 ratings at Udemy

Build 30+ ML Projects in 30 Days in AWS, Master SageMaker JumpStart, Canvas, AutoPilot, DataWrangler, Lambda & S3

• Udemy
• 1 day 18 hours 54 minutes
• Self-Paced
• Paid Course

DevOps and AI on AWS: Upgrading Apps with Generative AI

36 ratings at Coursera

Master AWS DevOps with Generative AI integration, enhancing applications using Amazon Bedrock's LLMs. Learn prompt engineering, RAG, fine-tuning, and essential DevOps practices for seamless AI implementation in your development lifecycle.

• Coursera
• 7 hours 36 minutes
• Self-Paced
• Paid Course

Generative AI Applications with Amazon Bedrock

18 ratings at Coursera

e.g. This is primarily aimed at first- and second-year undergraduates interested in engineering or science, along with high school students and professionals with an interest in programming.Step up your generative AI skills with this course focused on bu…

• Coursera
• 8 hours 35 minutes
• Self-Paced
• Paid Course

Building AI Agents with Amazon Bedrock AgentCore

15 ratings at Coursera

Master building sophisticated AI agents using Strands Agents SDK, Amazon Bedrock, and Model Context Protocol for production-ready agentic solutions.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Paid Course

Serverless Agentic Workflows with Amazon Bedrock

Master building secure, scalable AI customer service agents using Amazon Bedrock's serverless architecture. Create agents with guardrails, integrate CRM systems, and implement automated workflows for real-world support scenarios.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Paid Course

Pragmatic AI Labs Career Certificate

AI Tooling

Master generative AI on AWS, from Amazon Bedrock fundamentals to deploying serverless multi-model systems, covering security, orchestration, agentic AI, and SaaS development with Rust and Python.

• Coursera
• 20 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 20 courses

SageMaker Unified Studio Foundations for Data Analytics

Discover Amazon SageMaker Unified Studio's interface, lakehouse architecture, and data governance for seamless SQL analytics, ML, and generative AI development workflows.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Paid Course

Coursera

Amazon Q for beginners: Software Development with GenAI

Integrate Amazon Q into Visual Studio Code, enhancing coding efficiency. Learn setup, chatting, workspace indexing, and AWS tool interaction. Apply techniques for code explanations, suggestions, and error fixing.

• Coursera
• 1 hour 52 minutes
• Self-Paced
• Paid Course

Amazon Lex Getting Started

Learn to design, build, and deploy AI-powered conversational interfaces using Amazon Lex. Explore its architecture, features, and benefits through hands-on demonstrations in the AWS Management Console.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Paid Course

Whizlabs

AWS: ML Workflows with SageMaker, Storage & Security

Master secure, scalable ML workflows on AWS using SageMaker, data storage services, and enterprise-grade security controls for production-ready machine learning systems.

• Coursera
• 10 hours 22 minutes
• Self-Paced
• Paid Course

Getting Started with Amazon Textract

Explore Amazon Textract's capabilities for automated text and data extraction from scanned documents, including its architecture, features, and practical implementation through the AWS Management Console.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Paid Course