Machine Learning
AWS ML and generative AI services — SageMaker, Bedrock, Rekognition, Comprehend, and more. From foundation models and retrieval-augmented generation to custom training and inference.
Amazon SageMaker: Managed ML Lifecycle Platform on AWS
Amazon SageMaker is AWS's end-to-end ML platform. Learn Studio IDE, training jobs, hyperparameter tuning, real-time/serverless/async endpoints, Pipelines, Feature Store, and MLOps.
Amazon Rekognition: Image and Video Analysis on AWS
Amazon Rekognition is AWS's managed computer vision API. Learn Labels, Faces, Text, Moderation, Custom Labels, video analysis, celebrity detection, and per-image/minute pricing.
Amazon Q Developer: AI Coding Assistant on AWS Explained
Amazon Q Developer is AWS's AI coding assistant (formerly CodeWhisperer). Learn inline suggestions, chat, /dev, /review, /test agents, IDE plugins, security scans, and pricing tiers.
Amazon Bedrock: Managed Foundation Model API Explained
Amazon Bedrock is AWS's managed foundation model API. Learn Claude, Titan, Nova, Llama, Mistral, Cohere models, Converse API, Knowledge Bases, Agents, Guardrails, and token pricing.
Bedrock Knowledge Bases: Managed RAG on AWS Explained
Amazon Bedrock Knowledge Bases is AWS's managed RAG service. Learn ingestion from S3/SharePoint/Confluence, chunking, vector stores, RetrieveAndGenerate API, and pricing.