Course Includes:
- Price: FREE
- Enrolled: 938 students
- Language: English
- Certificate: Yes
- Difficulty: Beginner
Coupon verified 04:52 AM (updated every 10 min)
Course Folder
What You'll Learn
- Design complete
- production-ready enterprise Generative AI architectures on AWS from user channels through models
- data
- security
- and operations.,Build Generative AI applications using Amazon Bedrock
- Amazon Nova
- Anthropic Claude
- Meta Llama
- Mistral
- and other foundation models.,Create secure Retrieval-Augmented Generation systems using Bedrock Knowledge Bases
- Amazon OpenSearch Serverless
- S3 Vectors
- Aurora PostgreSQL and GraphRAG.,Design and build enterprise AI agents using Bedrock Agents
- AgentCore
- Strands Agents SDK
- LangChain
- LangGraph
- Step Functions
- and Bedrock Flows.,Connect Generative AI systems to enterprise data stored in Amazon S3
- Aurora
- RDS
- DynamoDB
- Redshift
- SaaS applications
- internal APIs
- and on-premises systems,Build scalable application and API layers using Route 53
- CloudFront
- AWS WAF
- API Gateway
- Lambda
- ECS
- Fargate
- App Runner
- and EKS.,Create batch
- streaming
- and event-driven data-ingestion pipelines using AWS Glue
- AppFlow
- DataSync
- EventBridge
- SQS
- Kinesis
- Lambda
- and Step Functions.,Process
- chunk
- enrich
- embed
- and index documents
- images
- audio
- video
- tables
- forms
- and other multimodal enterprise content.,Protect AI applications against prompt injection
- unsafe outputs
- data exposure
- unauthorized tool execution
- hallucinations
- and malicious retrieved content.,Implement enterprise identity
- authorization
- governance
- monitoring
- evaluation
- DevOps
- cost management
- audit logging
- backup
- and disaster recovery controls
Requirements
- No previous Generative AI or machine-learning experience is required.,A basic understanding of cloud computing concepts will be helpful but is not mandatory.,Familiarity with AWS services is useful
- although all major architecture components are explained during the course.,Basic programming or API knowledge may help with hands-on activities
- but the architecture lessons are suitable for non-developers.,An AWS account is recommended for students who want to complete the practical labs.,Access to a modern computer
- internet connection
- and web browser is required.,Students should be comfortable learning through architecture diagrams
- service comparisons
- practical scenarios
- and hands-on exercises.,A willingness to explore security
- governance
- data
- application
- and operational considerations across the complete AI lifecycle is the most important prerequisite.
Description
This course contains the use of artificial intelligence.
Build the skills to design, secure, deploy, and operate enterprise generative AI systems on AWS through a complete architecture-first learning experience. This course takes you from business requirements and interaction channels to production-ready platforms powered by Amazon Bedrock, foundation models, retrieval-augmented generation, AI agents, enterprise data, security controls, observability, and automation.
You will begin by exploring how large organizations such as Netflix, United Airlines, Walmart, and Tesla could apply AWS Generative AI architecture to real business scenarios. You will then learn how to read a complete architecture from left to right, understand the prompt-and-response lifecycle, identify trust boundaries, map data movement, and apply the AWS Well-Architected Generative AI Lens.
The course covers web, mobile, Slack, Microsoft Teams, APIs, and Amazon Connect experiences. You will learn how to connect structured and unstructured enterprise data from Amazon S3, Aurora, RDS, DynamoDB, Redshift, SaaS platforms, internal APIs, SharePoint, Salesforce, ServiceNow, and on-premises systems.
You will design secure application layers using Route 53, CloudFront, AWS WAF, Shield, API Gateway, Lambda, ECS, Fargate, App Runner, and EKS. You will compare synchronous and asynchronous workflows, serverless and container-based architectures, stateless and stateful services, and resilient patterns for scaling, retries, timeouts, and long-running AI tasks.
A major focus is Amazon Bedrock, including model selection, Amazon Nova, Anthropic Claude, Meta Llama, Mistral, embeddings, multimodal models, structured outputs, tool calling, prompt routing, model customization, and cost-aware inference. You will build RAG systems with Bedrock Knowledge Bases, OpenSearch Serverless, S3 Vectors, Aurora PostgreSQL with pgvector, and Neptune Analytics for GraphRAG.
You will also design agentic AI systems using Bedrock Agents, AgentCore, Strands Agents SDK, LangChain, LangGraph, Step Functions, and Bedrock Flows. Topics include planning, tool execution, memory, human approval, permission boundaries, error recovery, loop prevention, and enterprise automation.
The data engineering modules show you how to create ingestion pipelines with AWS Glue, AppFlow, Database Migration Service, DataSync, EventBridge, SQS, Kinesis, Lambda, and Step Functions. You will process documents with Amazon Textract and Bedrock Data Automation, preserve metadata, select chunking strategies, generate embeddings, synchronize knowledge bases, and measure retrieval quality. You will also learn how to evaluate model responses, groundedness, safety, agent decisions, and task completion using automated metrics, LLM-as-a-judge methods, human reviews, regression datasets, and release quality gates.
Security and governance are integrated throughout the course. You will implement IAM, Cognito, least-privilege access, Bedrock Guardrails, prompt-injection defenses, sensitive-data protection, VPC isolation, encryption, audit logging, responsible AI reviews, and compliance evidence.
Finally, you will master monitoring, evaluation, CI/CD, infrastructure as code, caching, cost management, backup, disaster recovery, and multi-region resilience. Hands-on labs and a comprehensive capstone guide you through designing a secure, scalable, reliable, observable, and governed AWS GenAI platform ready for enterprise use.
By the end, you will translate business requirements into defensible architecture decisions and confidently communicate AWS GenAI designs clearly to engineering, security, risk, operations, and leadership teams.
This course is ideal for cloud architects, AI engineers, developers, security professionals, technical leaders, and anyone preparing to build production-grade Generative AI, RAG, and AI agent solutions on AWS.
Who this course is for:
- Cloud architects who want to design secure and scalable Generative AI platforms on AWS.,AI engineers and machine-learning engineers building production applications with Amazon Bedrock.,Software developers who want to create RAG applications
- AI agents
- copilots
- and multimodal AI systems.,Solutions architects preparing to recommend AWS services for enterprise AI use cases.,Data engineers responsible for connecting
- processing
- enriching
- and indexing enterprise information for AI applications.,Security
- governance
- risk
- and compliance professionals responsible for protecting and governing Generative AI systems.,DevOps
- platform
- and site reliability engineers supporting the deployment and operation of production AI workloads.,Technical leaders
- consultants
- and enterprise architects responsible for AI strategy and architecture decisions.,AWS professionals who want to expand their skills into Generative AI
- RAG
- agents
- and foundation-model platforms.,Anyone who wants to understand how a complete enterprise AWS Generative AI system works from the user request to the final response or automated action.
Recommended Courses
AI Workflow Automation Claude: Build Smart Systems
FREE
Design automation pipelines, AI agents, and real-world workflows to save time, scale tasks, and build income streams
Enrolled
AI Generalist Mastery: From Zero to Building Real AI Systems
FREE
Become a versatile AI professional—learn tools, build AI apps, automate workflows, and design real-world AI solutions
Enrolled
Enterprise Generative AI Systems on Microsoft Azure
FREE
Design secure, scalable, reliable, and governed RAG and agentic AI architectures using Azure services
Enrolled
Agentic AI Security & LLM Governance Career Bootcamp
FREE
Hands-on training in AI security, agentic systems, and LLM governance to become a Principal AI Security Engineer.
Enrolled
Agentic AI Engineering with Claude Code
FREE
Design, build, and scale autonomous AI systems with memory, tools, and multi-agent workflows
Enrolled
Cómo Crear una Página Web con WordPress y Cloudways 2026
FREE
Crea una página web con WordPress y Cloudways, el mejor alojamiento en la nube administrado para WordPress.
Enrolled
Harness Engineering Masterclass: AI Coding Agents
FREE
Learn Claude Code, Codex CLI, Gemini CLI, MCP, Context Engineering, Multi-Agent AI & Production Harnesses
Enrolled
Claude Code Automation Bootcamp: From Skills to Systems
FREE
Build real-world AI workflows using reusable skills, tools, and multi-step automation systems with Claude Code
Enrolled
Enterprise GenAI with RAG and Agents
FREE
Design secure enterprise GenAI systems with RAG, AI agents, governance, monitoring, and production-scale architecture.
EnrolledPrevious Courses
Agentic AI Mastery: Multi-Agent Systems in Practice
FREE
Build production-ready multi-agent AI systems with orchestration, tools, memory, and deployment in 3 days
Enrolled
Certified Enterprise Generative AI Systems on Google Cloud
FREE
Design secure, scalable, reliable, and governed RAG and agentic AI architectures with Gemini and Google Cloud
Enrolled
Cómo Crear una Página Web en WordPress con IA 2026
FREE
Crea una página web en WordPress con Inteligencia Artificial de forma fácil y simple, sin saber de programación.
Enrolled
Break Into AI Without a Technical Background
FREE
From Zero to AI-Ready Professional in 3 Days
Enrolled
AI Operating System Bootcamp: OpenClaw + Claude + Clawdbot
FREE
Build a full AI OS using Claude, multi-agent systems, memory, and automation with real-world projects
Enrolled
Claude Code Power User: Architecting AI-Native Dev Workflows
FREE
Master CLAUDEmd, Skills, Planning Mode, and Automation to Turn Claude Code into Your Project Co-Pilot
Enrolled
Mastering Claude AI: Build AI Apps, Agents & MCP Systems
FREE
Complete Guide to Claude, Prompt Engineering, Claude API, AI Agents, MCP (Model Context Protocol), AI Applications, and
Enrolled
3-Day AI Engineering Bootcamp - Become an AI Engineer
FREE
Build and deploy real AI applications with LLMs, RAG systems, and autonomous agents.
Enrolled
AI Agent Economy: Build Autonomous AI Businesses
FREE
Design autonomous AI agents that use tools, transact payments, and operate as independent digital economic actors.
Enrolled