30-06-2026, 23:40 | view 👀:1 | 🙍 oneddl | redaktor: Baturi | Rating👍:

Build AI Agents CrewAI, LangGraph, OpenAI SDK, Autogen, MCP

Name: Build AI Agents CrewAI, LangGraph, OpenAI SDK, Autogen, MCP
Author: Baturi

Build AI Agents CrewAI, LangGraph, OpenAI SDK, Autogen, MCP

Download this premium online course featuring high-quality video training, step-by-step lessons, practical demonstrations, and expert instruction. With Build AI Agents CrewAI, LangGraph, OpenAI SDK, Autogen, MCP, you'll gain practical knowledge through structured learning, hands-on examples, and real-world applications. This comprehensive eLearning resource is ideal for students, professionals, freelancers, and lifelong learners looking to develop valuable skills and stay current with modern industry practices at their own pace.
Published 6/2026
Created by Deesa Technologies
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 77 Lectures ( 23h 50m ) | Size: 15.7 GB
End-to-end AI agent bootcamp - from your first LLM call to multi-agent systems you can deploy at work

What you'll learn

⚡ LLM fundamentals: tokens, cost, latency, capabilities & limitations
⚡ Prompt engineering that controls output (JSON, classification, extraction)
⚡ Agent design patterns: tool use, multi-step reasoning, failure modes
⚡ OpenAI Agents SDK for research copilots, meeting notes → action items, support bots
⚡ CrewAI multi-agent orchestration for software teams, product launches & hiring
⚡ LangGraph stateful workflows with human-in-the-loop approval
⚡ AutoGen collaborative code review and problem-solving agents
⚡ MCP integration for databases, PDFs, and live market data
⚡ Guardrails to prevent unsafe or unreliable AI outputs
⚡ Observability: logging, tracing, failure simulation & quality evaluation
⚡ Deployment: FastAPI, webhooks, cost optimization

Requirements

❗ Basic Python knowledge
❗ Curiosity and willingness to build — no ML PhD required

Description

Stop watching AI demos. Start building AI systems companies actually ship.
This hands-on bootcamp takes you from your first LLM API call toproduction-grade multi-agent systems — using the tools shaping AI engineering today:OpenAI Agents SDK, CrewAI, LangGraph, AutoGen, and MCP.
You won't just learn theory. You'lldesign, build, debug, secure, and deploy real AI applications in Python.
What you'll build
✨ 29 exciting AI projects that we will design from scratch
✨ AI research assistant, email generator & chatbot (Module 0)
✨ Prompt playground, JSON formatter & email classifier
✨ Resume analyzer, data extractor & SQL assistant
✨ Web search agent & multi-step task agent
✨ OpenAI SDK: research copilot, meeting notes → action items, support bot
✨CrewAI flagship: AI software engineering team (Developer → Reviewer → Tester)
✨ LangGraph customer support & human-in-the-loop approval workflows
✨ AutoGen collaborative code review & problem-solving agents
✨ MCP: internal data assistant, knowledge base agent, trading simulation
✨ Debug dashboard, failure simulator & output evaluator
✨GitHub AI PR code reviewer (FastAPI + webhooks)
This course doesn't just teach you how to design and build AI systems — it also shows you how and when AI fails, and what to do about it. It's a production-ready bootcamp that takes you all the way to deployment, including a GitHub AI PR reviewer you can run in real time and watch interact with live pull requests.By Deesa Technologies — production-focused courses built by engineers who ship real systems.
Enroll now and build your first AI agent in Module 0.

Who this course is for

⭐ Python developers who want to move into AI engineering
⭐ Software engineers building internal AI tools at work
⭐ Data professionals who need practical agent workflows, not theory-only content
⭐ Career switchers targeting AI Engineer / ML Engineer / Agent Developer roles
⭐ Anyone tired of copy-paste ChatGPT tutorials who wants real system design skills

Homepage

https://www.udemy.com/course/build-ai-agents-crewai-langgraph-openai-sdk-autogen-mcp

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