Certification Academy — Animated, interactive prep for AWS certifications — ML Engineer – Associate (MLA-C02), Generative AI Developer – Professional (AIP-C01), Security – Specialty (SCS-C03) and Data Engineer – Associate (DEA-C01): every architecture a step-through storyboard, every mechanism a hands-on simulation, a quiz after every module, blueprint-weighted drills, and full scaled-score mock exams.

An interactive, beginner-to-expert curriculum: 80 modules across 22 domains, 4 hands-on tools and simulators, a 831-term glossary.

Domains

• Foundations — The exam, the ML lifecycle on AWS, and the services every question assumes (4 modules)
• Data Preparation — Collect, transform, and trust the data — 28% of the exam (4 modules)
• Model Development — Choose, train, customize, and evaluate — classic ML and foundation models (4 modules)
• Deployment & Orchestration — Endpoints, agents, pipelines, and infrastructure as code (4 modules)
• Operations & Security — Monitor, optimize, and secure what you shipped (3 modules)
• FM Integration & Data — Design, models, vectors, retrieval, prompts — 31% of the exam (6 modules)
• Implementation & Integration — Agents, deployment, enterprise wiring, streaming APIs — 26% (4 modules)
• Safety & Governance — Guardrails, data security, responsible AI — 20% (3 modules)
• Efficiency & Optimization — Tokens, latency, caching, GenAI observability — 12% (2 modules)
• Testing & Troubleshooting — Evaluations, quality gates, diagnosis — 11% and the capstone (2 modules)
• Security Foundations — The exam, the four question formats, shared responsibility, and the service map (3 modules)
• Detection — See everything: GuardDuty, Security Hub, CloudTrail, logging architecture — 16% (4 modules)
• Incident Response — Plan it, automate it, contain it, prove the root cause — 14% (3 modules)
• Infrastructure Security — Edge, compute, and network controls — WAF, Inspector, firewalls — 18% (4 modules)
• Identity & Access Management — Authentication, temporary credentials, and policy evaluation — the heaviest at 20% (4 modules)
• Data Protection — KMS and envelope encryption, TLS everywhere, immutability, secrets — 18% (4 modules)
• Foundations & Governance — Organizations, Control Tower, SCPs and RCPs, Config, audit evidence — 14% (3 modules)
• Data Engineering Foundations — The blueprint, the service map, and the pipeline vocabulary the exam assumes — on-ramp (3 modules)
• Ingestion & Transformation — Streams and batches in, Glue and Spark and EMR, orchestration, and the code you must read — 34% (5 modules)
• Data Store Management — Choosing the store, cataloging it, moving it through its lifecycle, and evolving its schema — 26% (4 modules)
• Operations & Support — Automating the line, querying it, watching it, and proving the data is fit to use — 22% (4 modules)
• Security & Governance — Who you are, what you may touch, encryption and masking, audit logs, and privacy duties — 18% (3 modules)

Highlights

• The learning path — a guided route through every module, beginner to expert.
• Tools & simulators — 0 interactive tools.
• The Exam Hall — practice drills and mock exams, every answer explained.
• Field Notes — practitioner patterns and case studies.
• Glossary — 831 terms with primary sources.