Build an AI agent for the Enterprise
Doug Turnbull
Agentic Search Expert
Hugo Bowne-Anderson
AI Builder/Educator (6 Million Students)
Real agents don’t just chat: they find, organize, and act.
Your company sits on endless reports, documents, and files. Agents leverage your company’s rich volumes of data to support customers and make business decisions.
In this course agentic search expert Doug Turnbull partners with AI expert Hugo Bowne-Anderson to create agents that actually work.
At the foundation of production agents sit an LLM, a reasoning loop, an agent harness, and a layer of context engineering + retrieval.
Research consistently shows AI answer quality depends more on the underlying search than any other factor. We’ll go from the ground up - building an agent from scratch, giving you what you need to make them actually useful with accurate search + retrieval.
You’ll come away having built a cloud-deployed customer service agent grounded in agentic search using MCP, modern retrieval techniques, best-in-class context engineering principles, and SOTA agent SDKs.
What you’ll learn
Build and reason about enterprise agents grounded in your team's knowledge base
Learn how agents really work: LLM calls, tools, state, and reasoning loops.
Build an agent in Python before moving to higher-level SDKs and frameworks.
Know when to use simple LLM calls, workflows, or full agentic reasoning.
Connect agents to company docs, reports, files, and knowledge bases.
Go beyond basic RAG with multi-step search, retrieval, filtering, and synthesis.
Use MCP and retrieval tools to help agents find the right context before acting.
Design the prompts, tool schemas, memory, and context that guide agent behavior.
Build context engineering patterns that keep agents focused, grounded, and useful.
Add guardrails, structured outputs, and error feedback for more predictable systems.
Improve retrieval with BM25 baselines, recall-first search, reranking, and filtering.
Use evals and LLM judges to test whether your agent is actually working.
Deploy a cloud-based customer service agent with async jobs, hooks, and automation.
Learn directly from Doug & Hugo
Doug Turnbull
Led teams at Shopify, Reddit, Wikipedia
Hugo Bowne-Anderson
AI & data engineer, consultant, educator of 6+ million students (ex-Yale)
Who this course is for
Data scientists, machine learning engineers who are sick & tired of seeing and building prototypes & want to ship reliable LLM applications
Software engineers who want to learn how to build Generative AI systems and learn the LLM software development lifecycle.
Search technologists who connect enterprise knowledge with AI systems with RAG + Agentic Serach
What's included
Live sessions
Learn directly from Doug Turnbull & Hugo Bowne-Anderson 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.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
Course syllabus
Week 1
Aug
27
Workshop 1 - building AI agents
Week 2
Aug
31
Office Hours w/ Doug + Hugo
Sep
3
Modern Agentic Retrieval to Ground your Agent
Schedule
Live sessions
4 hrs / week
Thu, Aug 27
10:00 PM—1:00 AM (UTC)
Mon, Aug 31
10:00 PM—11:00 PM (UTC)
Thu, Sep 3
10:00 PM—1:00 AM (UTC)
Mon, Sep 7
10:00 PM—11:00 PM (UTC)
Projects
3 hrs / week
Async content
3 hrs / week
Frequently asked questions
Maven for Teams
Reimbursement
Get your company to pay
Everything L&D needs: email template, receipts, and certificate of completion.
Get reimbursedTeam discount
Learn with your teammates
Save 20%+ when 2 or more teammates enroll in the same cohort.
Save 20%+ with a teamPrivate cohort
Run a cohort for your org
A dedicated cohort with a custom schedule and curriculum, tailored to your team.
Book a private cohort$750
USD