AWS Machine Learning & AI Courses and Certifications

TU Munich;  Amazon Web Services

From Zero to Hero - Digital Product Development From Scratch

85 ratings

Take an idea from problem space to market-ready product: user research, MVP validation, plus generative AI apps with Amazon Bedrock, Lex, and the ML lifecycle.

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

AWS Academy Machine Learning Foundations (Live Online)

179 ratings at CourseHorse

Learn machine learning foundations on AWS by building a SageMaker pipeline and using managed services for forecasting, computer vision, and natural language processing.

• CourseHorse
• 36 hours
• Self-Paced
• $914.00

Developing Machine Learning Solutions

134 ratings at Coursera

Work through the machine learning lifecycle on AWS: find sources for models, evaluate model performance, and apply MLOps to development and deployment.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Free Online Course

Career Certificate

AWS Generative AI Applications

127 ratings at Coursera

Build AI-powered applications on AWS with Amazon Bedrock, PartyRock, and Amazon Q, practicing prompt engineering, responsible AI, and cloud-based AI service architecture.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 3 courses

AWS Artificial Intelligence Practitioner

70 ratings at Coursera

Learn AI and machine learning fundamentals on AWS: develop ML and generative AI solutions, optimize foundation models, apply responsible AI, governance, and prompt engineering.

• Coursera
• 9 weeks, 1 hour a week
• Self-Paced
• Free Online Course

Coursera

Build Image Quality Inspection using AWS Lookout for Vision

21 ratings at Coursera

Build automated image quality inspection with Amazon Lookout for Vision, training a no-code model for defect and object detection use cases in your own AWS account.

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

EDUCBA

Master AI & AWS Cloud Skills: Analyze, Build, Deploy

15 ratings at Coursera

Build and deploy AI solutions on AWS: train models in SageMaker, design chatbots with Lex, add vision with Rekognition, and manage the ML lifecycle.

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

KodeKloud

AWS Certified AI Practitioner

Prepare for the AWS Certified AI Practitioner exam by working with foundation models, RAG and vector databases, prompt engineering, responsible AI practices, and AI security and governance.

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

AWS AI Practitioner Power Hour

Explore generative AI on AWS: foundation models, Amazon Bedrock, use cases like text generation, search and summarization, plus security, fairness and governance for responsible AI systems.

• Coursera
• 5 weeks, 1 hour a week
• Self-Paced
• Free Online Course

LearnKartS

AWS Tools and Services for AI

Build generative AI on AWS: use foundation models in Amazon Bedrock, craft structured prompts, apply Amazon Q, and implement RAG with model evaluation techniques.

• Coursera
• 2 weeks, 4 hours a week
• Self-Paced
• Paid Course

AWS Generative AI Lab Series

Work through hands-on AWS generative AI labs: multimodal analysis with Nova Lite, text generation with Nova Micro, prompting in Amazon Bedrock, SageMaker regression models, and Amazon Q Developer.

• Coursera
• 7 weeks, 1 hour a week
• Self-Paced
• Paid Course

Getting Started with Amazon Personalize

Build a movie recommendation engine with Amazon Personalize: cover terminology, features, use cases, costs, and the solution architecture for real-time personalization in your own AWS account.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Free Online Course

Whizlabs

AWS: Managed AI Services

Build intelligent applications with AWS pre-trained AI services: analyze text with Comprehend, images with Rekognition, speech with Polly and Transcribe, plus Kendra search and Personalize recommendations.

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

Packt

Generative AI & AWS AI Practitioner Certification

Build, fine-tune, and deploy generative AI models on AWS with Amazon Bedrock and SageMaker, covering foundation models, transformers, RAG, responsible AI, and certification exam preparation.

• Coursera
• 10 weeks, 1 hour a week
• Self-Paced
• Paid Course

Whizlabs

AI/ML & Advanced AWS Services

Build intelligent cloud applications with Amazon Bedrock RAG, knowledge bases and guardrails, AWS AI services like Rekognition, Lex and Comprehend, and SageMaker ML and MLOps workflows.

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