Course topic
Build practical judgment across AI foundations, agents, machine learning, governance and production operations. These explanation-led practice tests help you compare plausible answers and understand the decision behind each one.
Browse 6 coursesCategory library
Choose a broad learning path, an exam-specific course or advanced systems practice.
6 courses available.
Advanced practice in agent interoperability, computer use, multimodal systems, identity, and machine-initiated commerce. For readers who already understand LLMs and want to examine the wider architecture.
Practice the engineering and operating decisions behind reliable agents. Explore control planes, orchestration, durable state, evaluations, and recovery without confusing more autonomy with a better system.
A broad, question-led review of modern AI, from core concepts to RAG, agents, and LLM operations. For learners who want the ideas to connect, not just sound familiar.
MLA-C01-specific practice across the production machine-learning lifecycle. For learners following the C01 route, not a substitute for the expanded MLA-C02 preparation scope.
Foundational AIF-C01 practice in AI and ML concepts, generative AI, foundation-model applications, responsible use, and security. Built around understanding the choice, not implementing an entire ML platform.
PMI-CPMAI practice for managing the connections between business value, data, iterative development, evaluation, and operation. For project and product professionals—not a data-science coding course.
