AWS Machine Learning & AI Courses and Certifications

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

Coursera

Code Generation with Amazon Q

Master AI-powered code generation and workflow optimization with Amazon Q Developer, focusing on software development, troubleshooting, and seamless AWS integration for enhanced productivity.

• Coursera
• 1 hour 55 minutes
• Self-Paced
• Paid Course

Whizlabs

Generative AI for AWS Cloud Engineers

Discover how to integrate and deploy large language models within AWS infrastructure using Amazon Bedrock, security practices, and responsible AI governance for cloud engineers.

• Coursera
• 6 hours 46 minutes
• Self-Paced
• Paid Course

Packt

No-Code Machine Learning Using Amazon AWS SageMaker Canvas

Explore machine learning with AWS SageMaker Canvas. Build no-code models for spam detection, customer churn, and wine quality prediction. Learn data preparation, model creation, and result validation.

• Coursera
• 3 hours 50 minutes
• Self-Paced
• Paid Course

Whizlabs

Getting Started with Amazon Bedrock

Master Amazon Bedrock fundamentals, RAG implementation, AI safety, and agent orchestration to build scalable generative AI applications on AWS in this hands-on training.

• Coursera
• 6 hours 28 minutes
• Self-Paced
• Paid Course

Increasing Application Security: Bedrock Guardrails & GenAI

Discover how to secure GenAI applications using Amazon Bedrock guardrails, protect against prompt injection attacks, and implement robust security measures through hands-on demos and expert insights.

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

Advanced Prompt Caching and Response Optimization

Discover advanced techniques for optimizing LLM response times using Amazon Bedrock, including prompt caching, latency optimization, and intelligent routing for high-performance AI apps.

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

AWS Machine Learning Engineer Associate Exam Prep

Prepare for the AWS Certified Machine Learning Engineer – Associate exam by mastering ML workflows, data preparation, model deployment, SageMaker, MLOps, and GenAI services on AWS.

• Coursera
• 31 hours
• Self-Paced
• Paid Course

Packt

Generative AI & AWS AI Practitioner Certification

Master Generative AI and AWS tools like Amazon Bedrock and SageMaker, while preparing for the AWS AI Practitioner Certification exam with hands-on model deployment and fine-tuning skills.

• Coursera
• 10 hours 55 minutes
• Self-Paced
• Paid Course

Using Amazon Q to Enhance Applications and Developer Productivity

Discover how Amazon Q transforms software development through AI-assisted coding, workflow optimization, and productivity enhancement using hands-on demonstrations with real applications.

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

Packt

Chatbots Development with Amazon Lex

Develop intelligent chatbots using Amazon Lex, AWS Lambda, and Twilio. Master intent management, custom slots, and cross-platform deployment for powerful AI-driven interactions.

• Coursera
• 4 hours 45 minutes
• Self-Paced
• Paid Course

Amazon Kendra Getting Started

Learn to implement intelligent search using Amazon Kendra's natural language processing and machine learning capabilities, including architecture, features, and hands-on demonstration.

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

Packt

Deploy AI Agents with Amazon Bedrock – Step-by-Step Guide

Master Amazon Bedrock AI agent deployment through hands-on tutorials, from basic setup to building a complete web scraper agent with Lambda functions and knowledge bases.

• Coursera
• 4 hours 13 minutes
• Self-Paced
• Paid Course

Pragmatic AI Labs

AI Security and Governance on AWS

Master AI security on AWS by implementing Bedrock guardrails, CloudTrail auditing, IAM authentication, and responsible AI governance with SageMaker Clarify for bias detection.

• Coursera
• 4 hours
• Self-Paced
• Paid Course

Whizlabs

AI/ML & Advanced AWS Services

Master AWS AI/ML services, Generative AI techniques, and MLOps practices using Amazon Bedrock, SageMaker, and intelligent AWS tools to build scalable cloud AI applications.

• Coursera
• 3 weeks, 2 hours a week
• Self-Paced
• Paid Course