AWS Certification Study Guides

A Pro study guide on AWS: 168 lessons in 15 parts, 6 hands-on Practical use cases. A Pro plan opens every lesson, practice question and Practical.

What you will learn

• Cloud foundations and architecture - Cloud basics, global infrastructure, the Well-Architected Framework and designing across accounts and Regions. (5 lessons)
• Identity and access - Who can do what: users, roles, policies, federation and reaching least privilege. (8 lessons)
• Security, encryption and compliance - Protecting data and workloads: keys and encryption, secrets, threat detection, incident response and compliance. (22 lessons)
• Compute, containers and serverless - Running code: virtual servers, containers, Lambda and API front ends, and choosing the right compute. (7 lessons)
• Storage and databases - Object, block and file storage, relational, NoSQL and warehouse databases, and how to choose between them. (8 lessons)
• Networking and content delivery - VPCs, hybrid links, DNS, load balancing, CloudFront, routing and troubleshooting network problems. (17 lessons)
• Data pipelines and analytics - Moving, transforming and querying data: ingestion, streaming, ETL, lakes, data quality and analytics. (9 lessons)
• Machine learning - The ML lifecycle: data preparation, algorithms, training in SageMaker, deployment and monitoring. (13 lessons)
• Generative AI and agents - Foundation models, Amazon Bedrock, prompts, retrieval augmented generation, agents and customisation. (19 lessons)
• Responsible AI and governance - Responsible AI, risks, guardrails, standards, governance and lineage. (10 lessons)
• DevOps, deployment and infrastructure as code - Pipelines, deployment strategies, CloudFormation, CDK, SAM and Systems Manager. (12 lessons)
• Monitoring, operations and resilience - Metrics, logs, scaling, backup and disaster recovery, incident handling and operational excellence. (20 lessons)
• Integration, migration and modernisation - Queues, topics, events and workflows that connect systems, plus migration and modernisation patterns. (5 lessons)
• Cost, pricing and support - Pricing models, cost tools, optimisation and governance, plus AWS Support plans. (7 lessons)
• AI strategy and exam approach - Choosing AI solutions, finding use cases, ROI, readiness and transformation, plus how to approach the exam. (6 lessons)

Hands-on Practical use cases

• Global static website
• Serverless API for a mobile app
• Highly available three-tier web app
• Event-driven order pipeline
• Data lake and analytics
• Company knowledge assistant (RAG)

All tutorials · Practice quizzes