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Udemy - AI Agents in Production - Harness Engineering Masterclass

Category: Other
Type: Tutorials
Language: English
Total Size: 1.5 GB
Uploaded By: freecoursewb
Downloads: 39097
Last checked: Sep. 26th '26
Date uploaded: Sep. 26th '26
Seeders: 16955
Leechers: 10068
INFO HASH: 282E80023D932CAE13A608024C4A44C38A86D1A0

AI Agents in Production: Harness Engineering Masterclass

https://WebToolTip.com

Published 9/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English + subtitle | Duration: 1h 25m | Size: 1.5 GB

The discipline behind reliable agents in 2026: agent loops, tool design, evals, context engineering, observability

What you'll learn
Build a complete AI agent harness from scratch: the loop, the tool layer, context management, and the guardrails around a raw LLM call
Design an eval set before you write agent code, then measure every change against 12 real support tickets
Write tools an agent can actually use, with schemas, descriptions and error messages that cut failed tool calls
Engineer the context window with retrieval, compaction and state so your agent stays accurate over long runs
Ship a production agent on your own VPS with Docker, Traefik and Langfuse tracing for full observability

Requirements
Comfortable writing Python. You should be able to read a function and call an HTTP API
An Anthropic or OpenAI API key. A few dollars of credit covers every exercise in the course
No agent framework experience needed. We build on the raw SDKs, not LangChain or CrewAI