Comidoc Analysis
Agentic AI Bootcamp: Multi-Agent Systems using LangChain. Build Real-World Agents using Python, CrewAI, OpenAI, MCP
Agentic AI: Build AI Agents with LangGraph, CrewAI & MCP
Duration21h 30m
Students5,907
Rating4.7 (186)
Agentic AI Bootcamp: Multi-Agent Systems using LangChain. Build Real-World Agents using Python, CrewAI, OpenAI, MCP
Comidoc has tracked 7 coupons for this course since 2025, last checked 7 months, 2 days ago. On average, a new coupon appears roughly every 59 days.
| Coupon code | Discount | Added | Status | Lifetime |
|---|---|---|---|---|
| Coupon codeA6F285BCBEF768CADB58 | Discount44% off | Added | StatusExpired | Lifetime4d 16h |
| Coupon code9DA80F36C34C5262F5D0 | Discount44% off | Added | StatusExpired | Lifetime4d 20h |
| Coupon code222B9688680F328F9DED | Discount100% off | Added | StatusExpired | Lifetime~7 daysRan full term |
| Coupon code74C80DC87C398C19A096 | Discount100% off | Added | StatusExpired | Lifetime~4 daysRan full term |
| Coupon code7F0439E1E2801B6FB672 | Discount100% off | Added | StatusExpired | Lifetime~5 daysRan full term |
| Coupon codeD866382EB125AD379B25 | Discount100% off | Added | StatusExpired | Lifetime~4 daysRan full term |
Lifetime is the time from a coupon's first appearance to its expiration or invalidation.
Editorial course preview
These 2 complementary views highlight concrete, legible examples from the course presentation.
A presentation slide titled Generative AI outlining Agentic AI topics and listing a tooling stack including LangChain, LangGraph, and CrewAI.
Presentation slide titled Generative AI outlining tooling and AI agents topics with red and black text on a white background
The curriculum covers sophisticated topics including stateful workflows with LangGraph, role-playing teams via CrewAI, and the Model Context Protocol (MCP) for tool standardization.
Instruction includes practical methods for agent persistence, specifically using SQLite-backed memory and checkpointing.
One signal indicates command failures on Windows development stations. Additionally, instructional clarity is contested, with one signal noting a tendency to read from slides.
The curriculum aligns with the target of moving beyond RAG into agentic systems, though environmental issues may affect the experience for some developers.