Modern AI Knowledge: 6 Practice Tests, Beginner to Advanced

You may know what RAG stands for and still hesitate when an assistant gives an outdated answer. Does it need a better prompt, different retrieval, a new model, or fine-tuning? Recognizing all four terms does not tell you which problem each approach is meant to solve.

Modern AI Knowledge gives you a structured way to examine those connections. The six tests range from foundations to more advanced system questions, with explanations that help you see why an approach fits the situation. You can use the course to consolidate existing study or to identify which parts of the subject still need a slower introduction.

The foundations cover training and inference, transformer concepts, model behavior, and responsible use. From there, the scope moves into tokens, context, prompting, generation, structured outputs, and the reasons a convincing response can still fail the task.

Retrieval topics connect chunking, embeddings, search, reranking, grounding, and citations. Agent topics add tools, memory, workflows, orchestration, and adaptation. Evaluation and LLM operations bring these ideas back to practical questions about traces, guardrails, latency, cost, and reliability.

Together, the topics help you separate problems that often get bundled into ‘AI quality.’ An outdated source needs a different response from a badly interpreted source. An agent that takes the wrong action needs more than a fluent explanation. Those distinctions give the terminology somewhere useful to fit.

Suitable for product professionals, consultants, business and technology leaders, and technical learners who want a broad refresher. The range is intentional: later material will be more demanding than the foundations. It is not a video-led introduction, a mathematical treatment of machine learning, or a hands-on coding course.

Start by noting whether a miss concerned a definition, the relationship between concepts, or the behavior of a complete system. Revisit the missing idea, then explain it using the scenario rather than the answer letter. A correct guess belongs in that review too. Leave some questions unseen so you can later check whether the explanation transfers beyond wording you recognize.