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// 82d agoTUTORIAL
Maven course pitches production agentic AI
This Reddit post is promoting a six-week Maven course by Aishwarya Naresh Reganti and Kiriti Badam focused on building agentic AI systems from real business problems instead of chasing buzzwords. The course page positions it as a hands-on program covering multi-agent patterns, evals, prompt and context engineering, memory, RAG, MCP/A2A, and a capstone, with a listed 4.9 rating from 454 reviews.
// ANALYSIS
This is more serious practitioner training than newsy product launch, but it is relevant to AI engineers because the syllabus leans into the hard part of agentic systems: deciding what to build, how to evaluate it, and how to keep it reliable in production.
- –The strongest angle is the “problem-first” framing, which pushes back on the usual agent hype cycle and centers enterprise constraints, tradeoffs, and measurable outcomes
- –The curriculum looks materially useful for builders, especially the focus on evals, prompt/context engineering, memory, RAG, MCP, and multi-agent coordination
- –The course is clearly aimed at working professionals rather than hobbyists, with a $3,000 price point, live sessions, office hours, and a production-style capstone
- –As an AICrier item it fits best as educational content, not a product launch or model release, because the post is fundamentally a course promotion
// TAGS
building-agentic-ai-applicationsagentragmcpprompt-engineering
DISCOVERED
82d ago
2026-03-06
PUBLISHED
82d ago
2026-03-06
RELEVANCE
6/ 10
AUTHOR
MicroSaaS_AI