Udemy - Agentic AI From Zero to Expert - 100 Real Labs

Agentic AI From Zero to Expert: 100 Real Labs

https://WebToolTip.com

Published 6/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 7h 51m | Size: 1.72 GB

From simple AI prompts to production autonomous agents using LangGraph, RAG, MCP, Kubernetes, and AI Ops.

What you'll learn
Build multi-agent platforms that collaborate, review, validate, and coordinate work.
Architect production-grade autonomous AI agents using modern agent engineering principles.
Build reasoning, planning, memory, and tool-using agents from scratch.
Master LangGraph workflows for stateful and reliable agent execution.
Design enterprise RAG systems using embeddings, vector databases, and hybrid retrieval.
Develop MCP-based tool ecosystems that safely connect agents to real systems.
Implement security, governance, audit logging, and compliance controls for AI systems.
Deploy scalable AI workloads using Docker, Kubernetes, Terraform, and GitOps.
Monitor, evaluate, and troubleshoot agents using OpenTelemetry, Prometheus, and Grafana.
Construct a sovereign enterprise AI platform in the PhD-level Lab 100 capstone.

Requirements
Recommended Requirements
1. Basic computer literacy.
2. No previous AI experience required.
3. Basic Python knowledge is helpful but not mandatory.
4. Familiarity with command-line basics can accelerate learning.
Recommended Hardware
1. 16 GB RAM
2. Quad-core CPU
3. 100 GB free storage