Data & Generative AI
Build intelligent applications with Amazon Bedrock, train custom models on SageMaker, and architect modern data platforms with Glue, Redshift, Lake Formation, and real-time streaming with Kinesis.
Generative AI with Amazon Bedrock
Enterprise-grade GenAI applications with foundation models, RAG architectures, AI agents, and responsible AI guardrails.
RAG Architecture Pattern
Retrieval-Augmented Generation combining enterprise knowledge with foundation model capabilities for accurate, contextual responses.
Bedrock Agents & Orchestration
Autonomous AI agents that reason, plan, and execute multi-step tasks using tools, APIs, and knowledge bases.
Agent Capabilities:
- • Action groups (Lambda functions as tools)
- • Knowledge base retrieval
- • Multi-step reasoning & planning
- • Session memory & context tracking
- • Return of control for human-in-the-loop
- • Guardrails for content filtering
Foundation Models
Access to leading foundation models through a unified API with enterprise security, privacy, and compliance.
Model evaluation, fine-tuning, and custom model import available through Bedrock.
Enterprise GenAI Use Cases
Intelligent Document Processing
Extract, summarize, and classify documents at scale
Conversational AI Assistants
Customer support bots with domain-specific knowledge
Code Generation & Review
AI-assisted development with CodeWhisperer + Bedrock
Content Personalization
Dynamic content generation for marketing & e-commerce
Machine Learning with SageMaker
End-to-end ML platform for building, training, and deploying models at scale with MLOps best practices.
SageMaker Studio
- • Unified IDE for ML development
- • JupyterLab & Code Editor
- • Data Wrangler for prep
- • Autopilot for AutoML
- • Canvas for no-code ML
Training & Optimization
- • Distributed training (data/model parallel)
- • SageMaker Training Compiler
- • Spot Training for 90% savings
- • Hyperparameter tuning
- • Built-in algorithms (XGBoost, etc.)
MLOps & Deployment
- • SageMaker Pipelines (CI/CD for ML)
- • Model Registry & versioning
- • Real-time & batch inference
- • Multi-model endpoints
- • Model Monitor for drift detection
Modern Data Platform on AWS
Unified data lake and warehouse architecture with Lake Formation governance, Glue ETL, and analytics with Athena and Redshift.
Data Lake Architecture
Real-Time Streaming
Amazon Redshift
Petabyte-scale warehouse with Serverless, zero-ETL from Aurora, and data sharing.
AWS Glue
Serverless ETL with Spark, crawlers, Data Catalog, and Data Quality rules.
Amazon Athena
Serverless SQL queries on S3. Federated queries across 25+ data sources.
Amazon QuickSight
Serverless BI with SPICE engine, ML insights, and embedded analytics.
Amazon Kinesis
Real-time data streaming with Data Streams, Firehose, and Video Streams.
Lake Formation
Centralized governance with fine-grained access control and data sharing.
Apache Flink (Managed)
Stateful stream processing for real-time analytics, CEP, and ETL.
AWS DMS
Database migration with CDC for ongoing replication and schema conversion.
Ready to Build with GenAI?
Start with a free GenAI workshop. We'll help you identify high-value use cases and build your first Bedrock application.