by Shunku
AWS Shared Responsibility Model: Security Foundation for the Cloud
Understand the AWS Shared Responsibility Model - the foundation of cloud security that defines what AWS secures versus what you must secure.
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Understand the AWS Shared Responsibility Model - the foundation of cloud security that defines what AWS secures versus what you must secure.
Master AWS Identity and Access Management - understand identity types, policy evaluation, least privilege, and security best practices.
Master AWS VPC security - understand Security Groups vs NACLs, VPC Endpoints, Network Firewall, and defense-in-depth strategies.
Master AWS data protection - understand why encryption matters, how KMS works, the envelope encryption pattern, and when to use CloudHSM vs Secrets Manager.
Master AWS security monitoring - understand why visibility matters, how CloudTrail, CloudWatch, Config, and VPC Flow Logs work together, and how to build effective security monitoring.
Master AWS threat detection and incident response - understand how GuardDuty, Security Hub, and Detective work together, and how to build effective incident response capabilities.
Troubleshoot common issues with Amazon Bedrock. Learn to diagnose API errors, latency problems, quality issues, Knowledge Bases problems, and model behavior.
Build scalable serverless generative AI applications using Amazon Bedrock with Lambda, API Gateway, and Step Functions. Learn architecture patterns and best practices.
Secure your generative AI applications on Amazon Bedrock. Learn IAM policies, VPC endpoints, encryption, audit logging, and compliance best practices.
Build RAG applications with Amazon Bedrock Knowledge Bases. Learn data ingestion, chunking strategies, retrieval configuration, and the RetrieveAndGenerate API.
Optimize generative AI inference on Amazon Bedrock. Learn Provisioned Throughput, batch inference, latency optimization, cost management, and performance tuning.
Build multimodal AI applications with Amazon Bedrock. Learn image generation with Stable Diffusion and Titan, and vision understanding with Claude.
Master prompting techniques for each Bedrock model. Learn Claude's XML tags, Titan's format, Llama's special tokens, and Mistral's instruction format.
Customize foundation models for your domain with Amazon Bedrock. Learn continued pre-training, fine-tuning, data preparation, and evaluation techniques.
Integrate Amazon Bedrock with LangChain for building AI applications. Learn chains, memory, agents, and RAG patterns with Bedrock models.
Introduction to generative AI concepts and Amazon Bedrock. Learn about foundation models, available models (Claude, Titan, Llama), and core capabilities.
Implement responsible AI with Amazon Bedrock Guardrails. Learn content filtering, topic denial, PII handling, and safety controls for generative AI applications.
Evaluate and monitor generative AI models on Amazon Bedrock. Learn automatic evaluation, human evaluation, CloudWatch metrics, and performance optimization.
Learn text embeddings with Amazon Titan and vector storage options. Understand semantic search, vector databases, and building search applications.
Master Amazon Bedrock APIs including InvokeModel, Converse API, and streaming. Learn SDK setup, error handling, and practical implementation patterns.
Build autonomous AI agents with Amazon Bedrock. Learn action groups, Lambda integration, Knowledge Base connections, and the ReAct reasoning framework.
Implement advanced RAG patterns with Amazon Bedrock. Learn hybrid search, query rewriting, re-ranking, multi-step retrieval, and context optimization techniques.