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Course Library

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Total Courses
42
+8
8 added this quarter
Across all departments
Active Learners
1,247
+18%
Growing steadily
Across all courses
Avg Rating
4.7
+0.2
Highest this year
From learner feedback
Completion Rate
78%
+5%
Best quarter yet
Across all programs
Practice

Prompting Fundamentals

Write prompts that ship. Output schemas, role framing, few-shot vs chain-of-thought. Every lesson is graded by an AI evaluator on a hidden test set.

6h14 lessons
4.9(412)2,840 enrolled
78%
Published
Eval Lab

Evaluating AI Output

Build golden sets, write rubrics, run regression tests. Learn what good evals look like and ship one for your own agent.

8h12 lessons
4.8(287)1,620 enrolled
45%
Published
Scenario

RAG in Practice

Chunking, embeddings, retrieval evaluation. Build a real RAG pipeline against a noisy corpus and measure recall.

10h16 lessons
4.9(356)2,210 enrolled
22%
Published
Scenario

Agents 101

Tool use, planning loops, multi-step reasoning. Build an agent, then break it. Live grading on conversation transcripts.

12h18 lessons
4.8(298)1,890 enrolled
60%
Published
Practice

Tool Use & MCP

Wire AI to real systems via Model Context Protocol. Build MCP servers, consume them from agents, debug tool-call failures.

7h11 lessons
4.7(184)1,240 enrolled
90%
Published
Project

Shipping AI Features

From prototype to production: cost controls, latency budgets, observability, prompt versioning, regression gates.

14h20 lessons
4.9(412)3,120 enrolled
100%
Completed
Eval Lab

Red-Teaming AI Systems

Adversarial prompting, jailbreaks, prompt injection. Try to break sample agents — your attacks are scored by severity.

5h9 lessons
4.8(156)890 enrolled
15%
Draft
Scenario

Voice AI & Real-Time

STT, TTS, turn-taking, latency. Build a voice agent end-to-end and measure conversational quality with AI graders.

9h13 lessons
4.7(98)412 enrolled
0%
Draft