Building Gen AI Agents for Enterprise: Leadership and Product Manager Edition

You may have encountered this personally: suppliers promise that AI will transform your business overnight, the market is flooded with products with overlapping functions, and you're left wondering: "Which of these actually solve our problems?"

Our company has worked with organizations in fintech, logistics, consulting, and manufacturing sectors, and we consistently come across the same issue: businesses understand that AI is important but struggle to identify specific use cases that deliver real ROI.

This course aims to bridge that gap—it will teach you how to identify, develop, and implement generative AI-based applications that create real business value.

Creating AI Agents for Business: A Course for Executives and Product Managers

This course offers a focused and in-depth look at real-world applications of generative AI in business.

Who this course is for

• Executives who want to understand the real value behind generative AI technologies.
• Data Scientists and ML Engineers looking to build custom RAG systems, agents, and fine-tune models.
• Product Managers and technical leaders aiming to design scalable, secure, and reliable systems based on generative AI.
• Anyone interested in learning how to harness generative AI for business uses.

What sets this course apart

Unlike other programs, we focus not just on the "how" but also on the "why". We help identify useful business cases, assess their value, and develop implementation strategies that are understandable even to executives without a technical background.

• No programming experience required—this course is designed for business leaders who want to understand AI capabilities without diving into code.
• One of the most popular GenAI courses on the Maven platform, with over 1000 graduates from technology, financial, public sector, and healthcare companies.
• The program has been successfully conducted as part of Stanford Continuing Studies and UCLA Anderson School of Management in their master's programs in business analytics.
• The course combines deep technical concepts with practical strategies for business implementation, rather than just introducing frameworks and libraries.

Course Curriculum

• Module 1: The World of Generative AI: Why Executives Need to Understand It
  • Introduction to the GenAI revolution, LLM ecosystem, model commoditization, and key assets: data and architecture.
• Module 2: The Basics of Intelligent Search
  • Why do corporate search systems often fall short? Introduction to embeddings, segmentation strategies, and RAG system architecture.
• Module 3: Enterprise RAG with Security Guarantees
  • How to turn prototypes into reliable production solutions? Semantic caching, inference optimization, and risk management.
• Module 4: Agents and Their Ecosystem: Vertical AI Agents
  • How to create frameworks for agent orchestration using AgentPro as an example. Analytics bots, research assistants, and more.
• Module 5: Adapting LLM to Your Organization's Needs
  • How models learn your company's "language": fine-tuning, LoRA, and integration of knowledge and terminology.
• Module 6: Final Project
  • Work on your own project with feedback from the instructor and peers.
• Module 7: Demo Day
  • Presentation of working solutions—from agents to corporate RAG systems.

Why this course is different

The world of GenAI is full of tools and frameworks that become obsolete within months. We teach not just how to use tools, but how to understand the principles: how to find high-value cases and build systems that provide real benefits.

What you will gain

• A system for evaluating AI use cases for your business
• Experience in creating working applications based on GenAI
• Skills for objectively assessing AI products and vendors
• A step-by-step strategy for implementing GenAI in your organization