LLM Engineering: RAG, Evals & Multimodal Apps
Build a transparent retrieval baseline, validate citations and access, design multimodal workflows, and evaluate an evidence-based tutor prototype.
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4 OF 4 COURSES AVAILABLE
AI agent engineer
Developers who can already call an LLM and want to ship reliable, tool-using agents.
Where this path leads
Ship an MCP-connected agent with least-privilege tools, approval gates, an eval suite and a prompt-injection threat model.
- Available now
LLM Engineering: RAG, Evals & Multimodal Apps
Ground answers in retrieved evidence and measure them with evals.
intermediate - Available now
Agentic AI: Tools, Workflows & MCP
Build tool-calling loops and MCP servers with approval steps.
advanced - Available now
Reasoning Models & Test-Time Compute
Choose when a reasoning model is worth its latency and cost.
advanced - Available now
AI Safety & Alignment for Builders
Threat-model an agent and defend against prompt injection.
advanced
Available courses in this path
Agentic AI: Tools, Workflows & MCP
Design bounded tool workflows, approval gates, retry-safe actions, and MCP contracts. Test a research-and-draft assistant without sending real messages.
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Reasoning Models & Test-Time Compute
Understand chain-of-thought, test-time compute, self-consistency, and verifiers. Measure when a reasoning model is worth its cost and latency, using offline labs that need no paid API.
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AI Safety & Alignment for Builders
Threat-model LLM applications, defend against direct and indirect prompt injection with controls enforced in code, handle personal data carefully, and build a red-team suite. Offline labs; no paid API.
By Admin
Free courseView course