Agentic AI Projects: FastAPI, MCP, AWS Deploy & Gemini 3
★ 4.4 rated · $9.99
Harness Engineering for Long-Running, Code Executing, and Persistent AI Agents
$12.99 with coupon (list $149.99 — save $137.00, 91% off)
Coupon Verified: September 28, 2026 · click Claim Coupon to apply the discount code
Our verdict: worth it — as long as the IT & Software skills on the syllabus match what you actually want to learn. The regular price for Agentic Harness Engineering: Harness Design for AI Engineers on Udemy is $149.99. With the coupon code on this page, that falls to $12.99 — a saving of $137.00, or 91% off the standard rate Spread across 12h of on-demand video, that works out to roughly $1.08 per hour of content — cheaper than a single chapter of most printed IT & Software textbooks.
A cheap price means nothing if the material is thin — here the syllabus is organized around usable outcomes. Fikayo Adepoju walks you through build a Complete Harness: Design and implement a multi-layered agent harness from scratch using raw Python and custom execution loops, implement Multi-Session Memory: Utilize the AGENTS[dot]md memory file standard alongside vector-indexed retrieval for persistent, cross-session recall, and defeat Context Rot: Implement advanced compaction hooks and tool call offloading middleware to sustain model performance over long runs — skills meant to be used, not just watched. It has already been taken by 556 students and holds a 4.7-star average from verified reviews, which suggests the content holds up once learners actually apply it.
Check the prerequisites before you commit: Python Proficiency: Strong comfort with advanced Python syntax, file handling, and structural logic.; LLM Foundations: Basic familiarity with Large Language Models, chat APIs, and the fundamental mechanics of prompting.. Best suited to learners who already have footing in IT & Software. Plan for roughly 12h of on-demand video at your own pace. Lessons are delivered in English.
Practical skills and outcomes you'll gain from Agentic Harness Engineering: Harness Design for AI Engineers — taken from the official Udemy syllabus for IT & Software learners.
Build a Complete Harness: Design and implement a multi-layered agent harness from scratch using raw Python and custom execution loops.
Implement Multi-Session Memory: Utilize the AGENTS[dot]md memory file standard alongside vector-indexed retrieval for persistent, cross-session recall.
Defeat Context Rot: Implement advanced compaction hooks and tool call offloading middleware to sustain model performance over long runs.
Secure Code Execution: Engineer isolated Docker sandboxes with execution timeouts, command allow-lists, and restricted outbound networks.
Optimize with LangSmith Tracing: Build a rigorous evaluation harness to profile agent traces, diagnose failures, and measure benchmark pass rates.
Orchestrate Long-Horizon Tasks: Deploy the "Ralph Loop" to intercept premature agent exits and enforce goal-driven, autonomous continuity.
What you need before enrolling in Agentic Harness Engineering: Harness Design for AI Engineers — prerequisites as listed by the instructor on Udemy.
Python Proficiency: Strong comfort with advanced Python syntax, file handling, and structural logic.
LLM Foundations: Basic familiarity with Large Language Models, chat APIs, and the fundamental mechanics of prompting.
Environment Tools: Comfort using the command line (Bash) and a local development machine with Docker installed for sandboxing.
The full official description of Agentic Harness Engineering: Harness Design for AI Engineers — curriculum, teaching approach, and everything included with this Udemy coupon.
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Common queries about this coupon, pricing, and enrollment. Answers reflect our last check on September 28, 2026.
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