<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>aifromzero.dev — AI Engineering Courses</title><description>Free, code-first online courses on AI engineering — from first API call to production systems.</description><link>https://d2apczqz24upf4.cloudfront.net/</link><language>en-us</language><item><title>What Is Agentic AI? From LLM Calls to Autonomous Agents (NCP-AAI Module 1)</title><link>https://d2apczqz24upf4.cloudfront.net/courses/ncp-aai/module-01/</link><guid isPermaLink="true">https://d2apczqz24upf4.cloudfront.net/courses/ncp-aai/module-01/</guid><description>What agentic AI really is — LLM calls vs workflows vs autonomous agents — plus your first NVIDIA NIM call. Free NCP-AAI course, Module 1.</description></item><item><title>Build Your First AI Agent: Tool Calling from Scratch to LangGraph (NCP-AAI Module 2)</title><link>https://d2apczqz24upf4.cloudfront.net/courses/ncp-aai/module-02/</link><guid isPermaLink="true">https://d2apczqz24upf4.cloudfront.net/courses/ncp-aai/module-02/</guid><description>Learn tool calling by building a ReAct agent from scratch, then in LangGraph with NVIDIA NIM. Module 2 of the free NCP-AAI course.</description></item><item><title>Agent Architecture: Patterns, Trade-offs, and When Not to Build an Agent (NCP-AAI Module 3)</title><link>https://d2apczqz24upf4.cloudfront.net/courses/ncp-aai/module-03/</link><guid isPermaLink="true">https://d2apczqz24upf4.cloudfront.net/courses/ncp-aai/module-03/</guid><description>Master AI agent architecture: chains, routers, supervisors — and when not to build an agent. NCP-AAI Module 3 covers exam Domain 1 (15%).</description></item><item><title>Cognition: How Agents Plan, Reason, and Self-Correct (NCP-AAI Module 4)</title><link>https://d2apczqz24upf4.cloudfront.net/courses/ncp-aai/module-04/</link><guid isPermaLink="true">https://d2apczqz24upf4.cloudfront.net/courses/ncp-aai/module-04/</guid><description>How AI agents plan, reason, and self-correct: ReAct vs plan-and-execute, reflection loops, reasoning budgets. NCP-AAI Module 4, Domain 5.</description></item><item><title>Agent Memory: State, Persistence, and Long-Term Recall (NCP-AAI Module 5)</title><link>https://d2apczqz24upf4.cloudfront.net/courses/ncp-aai/module-05/</link><guid isPermaLink="true">https://d2apczqz24upf4.cloudfront.net/courses/ncp-aai/module-05/</guid><description>Give your AI agent memory: LangGraph checkpointers, session persistence, and long-term recall. NCP-AAI Module 5, with a hands-on lab.</description></item><item><title>Agentic RAG: Build a Citation-Grounded Knowledge Pipeline with NVIDIA NIM (NCP-AAI Module 6)</title><link>https://d2apczqz24upf4.cloudfront.net/courses/ncp-aai/module-06/</link><guid isPermaLink="true">https://d2apczqz24upf4.cloudfront.net/courses/ncp-aai/module-06/</guid><description>Build an agentic RAG pipeline with NVIDIA NIM embeddings, Chroma, and reranking — chunking, grounding, and citations for the NCP-AAI exam.</description></item><item><title>Build a Multi-Agent System with LangGraph: Supervisors, Swarms, and Handoffs (NCP-AAI Module 7)</title><link>https://d2apczqz24upf4.cloudfront.net/courses/ncp-aai/module-07/</link><guid isPermaLink="true">https://d2apczqz24upf4.cloudfront.net/courses/ncp-aai/module-07/</guid><description>Design multi-agent systems with supervisors, swarms, and handoffs in LangGraph — plus MCP and A2A — for the NVIDIA NCP-AAI exam (Module 7).</description></item><item><title>Evaluating AI Agents: Metrics, LLM-as-Judge, and Tuning (NCP-AAI Module 8)</title><link>https://d2apczqz24upf4.cloudfront.net/courses/ncp-aai/module-08/</link><guid isPermaLink="true">https://d2apczqz24upf4.cloudfront.net/courses/ncp-aai/module-08/</guid><description>Evaluate AI agents with golden sets, task metrics, and a calibrated LLM-as-judge, then tune with proof — NCP-AAI Domain 3 (13%), hands-on.</description></item><item><title>Guardrails and Human Oversight: Safe Agents by Design (NCP-AAI Module 9)</title><link>https://d2apczqz24upf4.cloudfront.net/courses/ncp-aai/module-09/</link><guid isPermaLink="true">https://d2apczqz24upf4.cloudfront.net/courses/ncp-aai/module-09/</guid><description>Add NeMo Guardrails and human-in-the-loop approval to a LangGraph agent. Block prompt injection and ship safe agents — NCP-AAI Module 9.</description></item><item><title>Deploying AI Agents: From Notebook to Production API (NCP-AAI Module 10)</title><link>https://d2apczqz24upf4.cloudfront.net/courses/ncp-aai/module-10/</link><guid isPermaLink="true">https://d2apczqz24upf4.cloudfront.net/courses/ncp-aai/module-10/</guid><description>Turn your LangGraph agent into a production API: FastAPI async jobs, Docker, scaling, and cost trade-offs. NCP-AAI Module 10 (Deployment, 13%).</description></item><item><title>Running Agents in Production: Observability, Cost, and Maintenance (NCP-AAI Module 11)</title><link>https://d2apczqz24upf4.cloudfront.net/courses/ncp-aai/module-11/</link><guid isPermaLink="true">https://d2apczqz24upf4.cloudfront.net/courses/ncp-aai/module-11/</guid><description>Run AI agents in production: end-to-end tracing, cost per node, drift detection, and continuous evals. NCP-AAI Module 11, with a Langfuse lab.</description></item><item><title>The NVIDIA Agentic Stack: NIM, NeMo, and Nemotron in Practice (NCP-AAI Module 12)</title><link>https://d2apczqz24upf4.cloudfront.net/courses/ncp-aai/module-12/</link><guid isPermaLink="true">https://d2apczqz24upf4.cloudfront.net/courses/ncp-aai/module-12/</guid><description>Map the NVIDIA agentic stack — NIM, NeMo, Nemotron, Agent Toolkit — and profile a real agent with NAT. NCP-AAI Module 12 (NVIDIA Platform, 7%).</description></item><item><title>Capstone: Ship Scout, a Production-Grade Research Assistant (NCP-AAI Module 13)</title><link>https://d2apczqz24upf4.cloudfront.net/courses/ncp-aai/module-13/</link><guid isPermaLink="true">https://d2apczqz24upf4.cloudfront.net/courses/ncp-aai/module-13/</guid><description>Assemble, harden, and ship a multi-agent research assistant: retries, timeouts, production checklist, v1.0 release. NCP-AAI capstone, Module 13.</description></item><item><title>The NCP-AAI Exam: Strategy, Mock Exam, and My Debrief (NCP-AAI Module 14)</title><link>https://d2apczqz24upf4.cloudfront.net/courses/ncp-aai/module-14/</link><guid isPermaLink="true">https://d2apczqz24upf4.cloudfront.net/courses/ncp-aai/module-14/</guid><description>What the NCP-AAI exam is really like: format, proctoring, strategy, my debrief after passing, and a free 32-question blueprint-weighted mock exam.</description></item></channel></rss>