4 Weeks
·Cohort-based Course
Automate and amplify institutional knowledge through AI agents that embody your cultural DNA
4 Weeks
·Cohort-based Course
Automate and amplify institutional knowledge through AI agents that embody your cultural DNA
Previous clients include
Course overview
The Problem: Your AI applications create content that is generic, uninsightful and surface-level; you are trying to solve complex, context-specific problems but outputs don't embody your company's intelligence or expertise.
The Solution: We teach you evergreen frameworks for building generative systems that learn from your organization's unique data and implicit workflows, turning your expertise into a scalable asset.
We focus on the unglamorous but essential work that harnessing data with generative AI requires. You will learn data plumbing, collaborative prompt design, and iterative evaluation to differentiate and de-risk your AI roll-outs.
Is your application meant to educate, stimulate independent discovery or offer quick Q&A responses? Most don't even consider the options, because generic RAG tools don't offer them. We will dive into the depths of the AI stack, opening the horizon and letting you strategically shape everything from how you classify your data to how a multiagent AI team queries and interprets that data.
Your company’s competitive advantage isn't in the raw information, it's your process. It's the time-proven methodologies your experts use to arrive at insights and deliver unique value. Success with AI comes from converting this 'human excellence' into a scalable, automated system. We will teach you the structured collaboration framework to do that. You will learn how to extract your team's 'unwritten rules' and best practices, ensuring they are faithfully translated into reliable AI outputs. You'll master how to involve experts at every critical stage — from initial design and data classification to iterative refinement and ongoing evaluation.
You won't just learn this in theory. You will put these frameworks into practice by building a hands-on, contextualized prototype throughout the course. We encourage you to bring in your own datasets and organizational challenges, allowing you to build a tailored solution that directly addresses your unique needs.
We have been blueprinting best practice onto genAI for half a decade with diverse, knowledge-driven organizations like Visit California, the BBB Wise Giving Alliance and Institute for the Future. For the price of a single course, you get both the proprietary frameworks we use with these organizations and our direct support as your on-demand consultants and technical guides to help you apply them within your own knowledge ecosystem.
01
Executive Leaders who need to scale organizational capabilities with AI while preserving competitive differentiation
02
Project/Product Managers leading cross-functional AI integration initiatives bridging domain expertise with technical implementation
03
Domain Specialists who want to enhance their analytical workflow through custom AI applications without having to code
Strategic AI Integration Frameworks
Master the end-to-end methodology from initial requirements to production launch, including risk assessment, phased implementation, and organizational adoption strategies that minimize disruption while maximizing competitive advantage
Culture Capture From Unstructured Data
Transform unstructured institutional knowledge like meeting transcripts, reports, and backlogs into agentic systems that prevent your expertise from walking out the door with the next turnover
Quality Assurance and Evaluation Frameworks
Design and implement human-in-the-loop evaluation systems and testing methodologies that ensure trust, relevance, and reliability
Strategic Decision-Making and Project Management
Navigate technical tradeoffs across compliance, latency, and cost vectors while managing non-technical stakeholders through AI development cycles and scope definition
AI Ecosystem Intelligence and Future Planning
Update your awareness with strategic foresight and thorough ecosystem analysis of AI affordances in specific industries, domains and modalities, enabling informed investment decisions and long-term positioning
Live sessions
Learn directly from Lev Gorelov & Jeremy Kirshbaum 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
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
4 live sessions • 16 lessons • 3 projects
Nov
13
From Hype to ROI: Building Your Strategic Foundation
Nov
20
From Concept to Production: Tools, Techniques, and Best Practices
Nov
27
Data Connections: RAG, Agents, and the Connected Enterprise
Dec
4
Roll-out and its Discontents: UX, Red Teaming and Observability
Research Director at Handshake, consultant and generative AI educator working globally in Moldova, Nigeria, the US, and beyond to help organizations and individuals upskill in generative AI. No-code software ninja, master in Science of Social Work and academic studying the intersection of computational philosophy and social theory.
Founder of generative AI consultancy Handshake. Develops AI systems for corporates, governments, and non-profits (give.org) and research groups (iftf.org). Has worked with executive teams and boards at companies like Walmart, Kellogg Company, Deloitte, and many others to help them understand the future of generative AI and emerging technologies. He is writing a book about senior leadership and generative AI agents with Bob Johansen, on shelves Q2 2025 through Berrett Koehler Publishers. He loves poetry (the art form, because it is beautiful) and the Poetry the package manager (for Python, because it actually does dependency resolution).
Join an upcoming cohort
Cohort 16
$900
Dates
Payment Deadline
Don't miss out! Enrollment closes in 7 days
3-5 hours per week
Tuesday
9:00 A.M. - 10:30 A.M. PT
Synchronous zoom lecture on Tuesday, focusing on the conceptual backbone of AI agent functionality and applications. Recordings of class will be available soon after its completion.
Weekly projects (async)
3 hours per week
An async walkthrough will guide you in building functional prototypes of AI Agents. You will get to shape the project deliverable. Lecturers will be available by email, during office hours and via one-on-one sessions throughout the week for questions and support.
Tuesday & Thursday
10:30 A.M. - 11:30 P.M. PT
Optional office hours where you can ask questions and receive personal guidance on developing your AI applications.
1:1 Coaching
Up to three sessions
Schedule 1:1 coaching time with instructors for individualized help with your hands-on projects, privately thinking through a use-case, or whatever else you need.
And receive exclusive screenshot instructions on creating cryptocurrency and AI apps
Join an upcoming cohort
Cohort 16
$900
Dates
Payment Deadline
Don't miss out! Enrollment closes in 7 days