Data & AI Study Guides
AWS Certified Data Engineer – Associate (DEA-C01) Study Guide: Domains and Study Plan
An AWS DEA-C01 study guide covering the four exam domains, data pipeline engineering, and a practical preparation plan.
AWS Certified Generative AI Developer – Professional (AIP-C01) Study Guide: Domains and Study Plan
An AWS AIP-C01 guide covering the five exam domains, production generative AI integration, and a practical study plan.
AWS Certified Machine Learning Engineer – Associate (MLA-C01) Guide: Legacy Exam Outline
A legacy MLA-C01 guide covering the four exam domains. MLA-C02 beta is available; confirm exam code, language, and version before preparing.
Google Cloud Professional Cloud Database Engineer (PCDE) Study Guide
Prepare for GCP-PCDE with database architecture, migration, operations, availability, security, and cost optimization.
Google Cloud Professional Data Engineer (PDE) Study Guide: Pipelines and Analytics
Prepare for GCP-PDE with data system design, ingestion and processing, storage, analytics, and workload operations.
Google Cloud Professional Machine Learning Engineer (PMLE) Study Guide: AI and MLOps
Study for the current GCP-PMLE exam with low-code AI, data and model collaboration, training, serving, pipelines, and monitoring.
AWS Certified AI Practitioner (AIF-C01) Study Guide: Exam Domains and Study Plan
A practical AWS AIF-C01 study guide covering the five exam domains, key concepts, and a focused preparation plan.