Udemy - Enterprise AI Agents - From Pilot to Production

Enterprise AI Agents: From Pilot to Production

https://WebToolTip.com

Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 9h 3m | Size: 2.89 GB

Design, evaluate, and deploy production-grade AI agents — RAG, tools, evals, cost control, and governance included.

What you'll learn
Build a defensible business case and ROI model that gets agent pilots funded by executives
Architect enterprise agents with reasoning engines, memory systems, tools, and layered guardrails
Design permission-aware RAG pipelines with freshness guarantees that satisfy security teams
Convert enterprise APIs into safe agent tool contracts using function calling and MCP
Orchestrate multi-agent systems using pipeline, orchestrator, debate, and swarm patterns
Build golden datasets and automated eval suites that gate deployments in CI/CD
Engineer agent economics: model routing, caching, prompt optimization, and FinOps practices
Implement governance, audit trails, and data-privacy controls for regulated environments
Design human-agent experiences with trust calibration, approvals, and change management
Take agents from pilot to production with hardening checklists, safe rollouts, and incident response

Requirements
Professional experience with software development or systems architecture (any language)
Working knowledge of APIs, databases, and cloud concepts
Basic familiarity with large language models (what they are and how they're called)
A computer with internet access for the hands-on walkthroughs
No prior agent-framework experience required — concepts are taught from first principles
Optional: access to an LLM API key for following along with the[DEMO] lessons