AWS Machine Learning & AI Courses and Certifications

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

Pragmatic AI Labs

AWS Generative AI and Foundation Models

Master building generative AI solutions on AWS using Amazon Bedrock, RAG pipelines, Amazon Q Developer, and open-source LLMs, while evaluating trade-offs between managed services and no-code platforms.

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

Coursera

Deploy and Optimize Cloud AI Architectures

Master scalable ML deployment on Amazon SageMaker with distributed training, Spot Instances, autoscaling, and cost optimization through GPU monitoring and CloudWatch metrics.

• Coursera
• 1 hour 48 minutes
• Self-Paced
• Paid Course

Pragmatic AI Labs

AI-Powered Analytics and Performance Engineering

Master building AI-powered analytics pipelines on AWS using Amazon Bedrock, Lambda benchmarking, and Amazon Q for BI, including Rust integration, cost optimization, and natural language SQL queries.

• Coursera
• 3 hours 32 minutes
• Self-Paced
• Paid Course

Pragmatic AI Labs

AI Tooling Capstone: Serverless Multi-Model Systems

Explore building a production serverless multi-model AI system on AWS, integrating Amazon Bedrock and Ollama, using Rust and Cargo Lambda for scalable LLM orchestration and deployment.

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

Pragmatic AI Labs

AWS Intelligent Applications with Amazon Bedrock

Master building intelligent applications with Amazon Bedrock—explore foundation models, implement APIs in Bash and Rust, create knowledge bases, and construct autonomous agents with RAG capabilities.

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

Pragmatic AI Labs

Prompt Architecture and NLP on Amazon Bedrock

Master prompt architecture and advanced NLP on Amazon Bedrock, covering token processing, versioned prompt templates, chain-of-thought agents, and custom Rust NLP tools for production deployments.

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

Pragmatic AI Labs

Enterprise AIOps with Amazon Q Business

Master enterprise AIOps on AWS by deploying Amazon Q Business, managing AI costs with CloudShell automation, and implementing production MLOps pipelines and RAG workflows using Amazon Bedrock.

• Coursera
• 3 hours 32 minutes
• Self-Paced
• Paid Course

Whizlabs

AWS: Generative AI Fundamentals

Explore generative AI fundamentals, Amazon Bedrock, RAG architectures, and enterprise AI best practices to build intelligent, scalable AWS-powered solutions.

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

Whizlabs

AWS: Generative AI & Bedrock

Explore Generative AI on AWS with Amazon Bedrock and Amazon Q, covering RAG, AI agents, guardrails, and foundation models to build and govern intelligent applications.

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

Amazon Web Services;  Amazon

No-code Machine Learning and Generative AI on AWS (Indonesian)

Delve into machine learning and generative AI on AWS using SageMaker Canvas - build ML models, analyze data, and implement AI solutions without coding experience in this Indonesian-language guide.

• AWS Skill Builder
• 5 hours 30 minutes
• Self-Paced
• Free Certificate

Amazon Web Services;  Amazon

No-code Machine Learning and Generative AI on AWS (Includes Labs) (Japanese)

コードを書かずに機械学習モデルを構築・デプロイし、生成AIのユースケースをサポート。データ分析、モデル評価、予測生成のスキルを習得し、AIプロジェクトを効率的に実施。

• AWS Skill Builder
• 15 minutes
• Self-Paced
• Paid Course

Amazon Web Services;  Amazon

No-code Machine Learning and Generative AI on AWS (Simplified Chinese)

掌握无代码机器学习和生成式AI在AWS上的应用。学习使用Amazon SageMaker Canvas构建、训练和部署ML模型，以及利用基础模型进行文本生成、摘要和聊天等任务。

• AWS Skill Builder
• 5 hours 30 minutes
• Self-Paced
• Free Certificate

Amazon Web Services;  Amazon

No-code Machine Learning and Generative AI on AWS (日本語吹き替え版)

Dive into no-code機械学習とAWSでの生成AI開発。SageMaker Canvasを使用してデータ分析、モデルのトレーニング、デプロイ、そして生成AIの実装まで、コーディング不要で習得。

• AWS Skill Builder
• 5 hours 30 minutes
• Self-Paced
• Free Certificate

Amazon Web Services;  Amazon

No-code Machine Learning and Generative AI on AWS (Includes Labs) (繁體中文)

探索 Amazon SageMaker Canvas，無需程式碼即可掌握機器學習和生成式 AI 技術。透過實作練習，學習資料準備、模型訓練和部署，以及基礎模型應用的完整流程。

• AWS Skill Builder
• 10 hours 30 minutes
• Self-Paced
• Paid Course