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End-to-end preparation covering AI Hub architecture, GenAI fundamentals, AWS services, platform engineering, governance & security, and behavioral leadership. Includes interactive sidebar navigation, expandable code sections, and SVG diagrams.
Architecture & AI
- AI Hub End-to-End Architecture
- LLM Internals & Transformers
- RAG Patterns (Naive → Production)
- Agent Frameworks (LangChain/Graph/SK)
- Multi-Agent Systems & Protocols
- LLMOps / MLOps Lifecycle
AWS & Platform
- Amazon Bedrock (Guardrails, KB, Agents)
- SageMaker Deep Dive (all services)
- Lambda + Step Functions Orchestration
- Vector DB Selection (OpenSearch/pgvector)
- Multi-Tenant Architecture
- EKS / Kubernetes for ML
Security & Governance
- IAM / RBAC / ABAC
- AI Guardrails (3-Layer Safety)
- Data Security & Encryption
- BFSI Compliance (GDPR, SOX, EU AI Act)
Engineering & Leadership
- Distributed Systems Patterns
- API Design (Sync/Async/Streaming)
- SDK Development
- IaC (Terraform / CloudFormation)
- Behavioral & Stakeholder Comm.
AWS
GenAI
Platform
Security
Leadership