Build Production AI Agents for 10x-100x ROI
Dr Ankur Narang
AI & DeepTech Leader & Entrepreneur
Kush Khurana
Enterprise AI Agent Architect
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Deploy Agentic systems that deliver 20x–100x return on investment.
A 4-week intensive for engineers mastering autonomous cognitive workflows — from cost compression and self-correcting loops to revenue-scaling agents that turn AI from a cost center into a profit driver.
Build The Economic Engine of Agents: This goes beyond the technical deep-dive. We focus exclusively on production-grade impact—engineering the measurable business outcomes that deliver exponential ROI.
20x ROI via Cost Compression
Achieve 20x return on investment by reducing operational overhead — replacing manual human-in-the-loop processes with self-correcting agentic loops.
100x ROI via Revenue Scaling
Unlock up to 100x return on investment by deploying agents that solve high-intent, real-time use cases — turning AI from a cost center into a primary profit driver.
Achieve 5–10x lower AI infrastructure costs
Token routing, caching, and cost modeling that saves six figures at scale.
Systematic evaluation capability
Internal eval infrastructure — catch regressions before users do.
De-risked architecture decisions
Build-vs-buy calls backed by production data, not vendor pitch decks.
Reusable patterns across teams
One cohort creates blueprints your entire engineering org can adopt.
What you’ll learn
You leave with deployable systems and documented architecture — not slide decks.
Agent architecture patterns: ReAct, Plan-and-Execute, multi-agent
Structured tool calling and function outputs
State management and conversation memory
Embedding strategies and hybrid retrieval
Chunking, re-ranking, and context window optimization
Grounding verification and citation generation
Token economics and cost modeling
Caching, batching, and model routing strategies
Graceful degradation and fallback chains
Custom evaluation harness design
Regression testing and quality drift detection
Red-teaming and adversarial testing
Learn directly from expert instructors
Dr Ankur Narang
Three decades building HPC and AI systems processing billions of transactions
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Kush Khurana
AI product and deep-tech builder, Visiting Professor at Ashoka University
Dr Aveek Brahmachari
Stryker Senior Staff Engineer; IIT-ISM, USF PhD; ex-DRDO, Samsung
Who this course is for
- Engineering & Product Leaders
Responsible for shipping AI features. Need production patterns beyond prompt engineering and API wrappers.
- Technical Founders & CTOs
Built the prototype yourself. Need it reliable enough for paying customers and investor due diligence.
- Lead Developers
You're the person who makes the AI system actually work — and keeps it working when inputs get messy.
What's included
Live sessions
Learn directly from your instructors in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
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Learn async, apply live
Private Slack
Cohort channel for peer support
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
Course syllabus
Week 1
Foundations & Structured Action
Week 2
Retrieval & Grounding
Schedule
Live sessions
4 hrs / week
Projects
1-3 hrs / week
Build a Value-First Agentic System: (1) Financial Research Agent Retrieve, synthesize, and reason over financial data (2) Visual Inspection Agent Combine vision and language models for industrial inspection (3) Competitive Intelligence Monitor Continuously monitor, retrieve, and summarize competitive signals
Async content
1-3 hrs / week
Review Lectures / Recordings for Flipped Classroom
Frequently asked questions
$1,200
USD
7 days left to enroll