Learn how to move AI agents from demo to enterprise workflow
According to a recent MIT report, 95% of GenAI pilots fail. This course aims to teach you what it takes, for success.
About me:
Over the past few years, I've worked on bringing numerous LLM, and agentic AI projects to production. I won't lie - most of them have failed. But through hard lessons and a few successes (including a 1$M+ increase in profits) I have learned what it takes to achieve success with GenAI use-cases.
Now, you will learn what the ingredients are, to achieve success. Spoiler alert: Its not just putting the tools together, but a shift in mindset that you will learn through this course.
What you’ll learn
Learn to make key decisions and investments that compound into successful business outcomes with GenAI
Learn to leverage Claude code, skills, langgraph for building applications
Build a deep research agent from scratch using workflows and skills
Apply context engineering patterns - RAG, compaction, memory, structured context
Learn MCP and other context centric protocols to unlock communication and data flows
Stand up an eval harness so you can measure agent quality objectively instead of eyeballing outputs
Learn the production practices behind real enterprise deployments: responsible AI, what to log, what to alert on, and how to iterate safely
Set up monitoring that catches silent quality decay and regressions before your users do
Build, evaluate, and deploy a complete agent end-to-end on a problem that matters to you
Present on Demo Day and leave with a portfolio-ready, monitored agent
Learn directly from Skanda
Skanda Vivek
Senior AI scientist, building enterprise AI agents in production.
Who this course is for
Engineers, ML/AI scientists, and tech leads shipping production AI agents who are tired of demos that fall apart with real users and data.
Technical founders and hands-on CXOs who need to take a stalled pilot to a reliable, deployed system.
Builders who want to learn how to deploy production-grade, reliable applications the right way.
What's included
Live sessions
Learn directly from Skanda Vivek 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.
Promo Code
Use PROMO Code CANYOUFEELIT for 25% off
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
Course syllabus
8 live sessions • 14 lessons
Week 1
Oct
5
Week 1: What are agentic harnesses and how to build them
Oct
9
Office Hours
Framing your business problem using an agentic lens
Build a deep research agent from scratch!
Under the hood of the opencode agentic harness
Setting up a Hermes Agent For Background Tasks
Week 1 Project: Build your first agentic harness
Week 2
Oct
12
Week 2: Learn how to efficiently bring in context for your agent
Oct
16
Office Hours
Designing with large contexts and the tools required
Model Context Protocol (MCP) for efficient context gathering
Context failure modes, how to detect and fix early on
Schedule
Live sessions
3 hrs / week
Everything will be recorded. 3 hours of live learning and 1-3 hours of project office hours!
Mon, Oct 5
2:00 PM—4:00 PM (UTC)
Fri, Oct 9
2:00 PM—2:30 PM (UTC)
Mon, Oct 12
2:00 PM—4:00 PM (UTC)
Projects
1-3 hrs / week
Office hours for projects!
Async content
1-3 hrs / week
Learn at your own pace in addition to the live course!
Testimonials
I am grateful for your course, as it has equipped me with the essential knowledge I absolutely needed to bring my PoC GenAI project at my organization to production-ready level.
Nataliya Portman
Senior Data Scientist · CBC/Radio-CanadaRare thing: a course I can apply the same week 🧩
Finished the AI Context Engineering course from O'Reilly, run by Skanda Vivek. Learned a lot, and a good chunk of it goes straight into what I'm building right now. (full review here: https://lnkd.in/p/ex5Kz9ND)
Denis Petrochenkov
Global Fixture & Installation Program Manager, AppleReally enjoyed this session. Great balance of theory and practical examples, with plenty of insights that can be applied right away. Thanks, Skanda Vivek, for an engaging and valuable learning experience!
Alfonso Leon Macedo
Application Engineer, BlackRock
Frequently asked questions
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Book a private cohort$950
USD