4.8 (54)
5 Weeks
·Cohort-based Course
Gain a thorough understanding of the World of Generative AI with a deep understanding on how to develop your own Agents
4.8 (54)
5 Weeks
·Cohort-based Course
Gain a thorough understanding of the World of Generative AI with a deep understanding on how to develop your own Agents
Previously at
Course overview
We’re living through one of the most transformative periods in the history of computing — and Generative AI is at the heart of it. From content creation and personalized customer support to autonomous decision-making and intelligent search, GenAI is rapidly redefining how businesses operate, how knowledge is accessed, and how software is built.
You've likely experienced this firsthand: vendors promising AI solutions that will transform your business overnight, countless products with overlapping capabilities, and the nagging question: "Which of these actually solves our unique problems?"
Our startup has worked with organizations across fintech, supply chain, consulting, and manufacturing sectors, and we've consistently encountered the same challenge: businesses know AI matters, but struggle to identify concrete use cases that deliver measurable ROI.
This course addresses precisely that gap—helping you cut through the noise to identify, build, and deploy GenAI applications that create actual business value.
Building GenAI Agents for Enterprise Use is designed to give you a laser-focused and in-depth view of real-world GenAI applications.
Designed for Business Leaders, Not Developers
What sets this course apart is our relentless focus on the "what" rather than just the "how." While many courses dive directly into technical implementation, we prioritize use case identification, business value assessment, and strategic deployment considerations that matter to non-technical leaders.
You don't need a programming background to succeed here. For business professionals who want to understand the capabilities without getting lost in the code, we've designed an experience that emphasizes concepts, applications, and outcomes.
This course is one of the top-rated Gen AI Course on Maven, with over 1000 professionals trained from companies across tech, finance, government, and healthcare.
It has been successfully offered at Stanford Continuing Studies and the UCLA Anderson School of Management for their Master’s in Business Analytics programs.
Designed for Executive leaders, Data Scientists, Machine learning engineers, and Product Managers, the course demystifies the Gen AI landscape by blending deep technical concepts with practical enterprise deployment strategies.
This is not another LangChain how-to or framework tour. Instead, this course teaches you to build modern GenAI systems from first principles, grounded in real-world constraints like scale, guardrails, multi-agent workflows, and domain-specific adaptation.
🎯 Who This Course Is For
Executive Leaders looking to understand the real technical backbone of GenAI beyond the buzzwords
Data Scientists & ML Engineers seeking to build custom RAG pipelines, agents, and fine-tuned models
Product & Tech Leaders who want to design scalable, safe, and responsible GenAI systems
Anyone who wants to learn how Gen AI can be used
📚 Course Modules
Module 1: The World of Generative AI — Why Leaders Must Understand It
Understand the GenAI revolution and what it means for industries, infrastructure, teams, and the future of software. We break down the LLM ecosystem, the commoditization of models, and the real moats: data and architecture.
Module 2: Building Blocks for Intelligent Information Retrieval
Why do most enterprise search solutions disappoint users? Discover the fundamental components that transform basic document search into contextual intelligence systems. Get hands-on with embeddings, chunking strategies, and the architecture of RAG systems that actually return relevant information.
Module 3: Enterprise RAG with Guardrails—Moving Beyond Prototypes
Why do systems that work in demos fail in production? Learn how to transform proof-of-concepts into enterprise-grade solutions with semantic caching, optimized inference, and essential safety controls. Implement trustworthy systems that match your organization's risk tolerance and compliance requirements.
Module 4: Agents and Their Ecosystem — Vertical AI Agents
What are agents really? Go beyond CrewAI and Autogen to build your own agent orchestration framework using AgentPro. Focus on vertical agents like Data Analyst Bots, Research Assistants, and more.
Module 5: Teaching LLMs Your Organization's Language Through Fine-Tuning
Why do generalist models struggle with your industry's terminology? Learn practical approaches to adapting models to your domain's vocabulary, processes, and knowledge structures. Implement LoRA fine-tuning and knowledge graph integration techniques that ground AI in your organizational context.
Module 6: Capstone Discussion Week
Workshop your final project ideas, get peer and instructor feedback, and finalize your architecture and approach for your custom RAG or Agent system.
Module 7: Demo Day
Present your fully built, working system to the cohort. From agent demos to enterprise RAG deployments — this is where theory meets execution.
Why This Course Is Different?
The GenAI landscape is cluttered with tools, frameworks, and platforms—each promising to be the silver bullet. Our approach isn't about teaching you specific tools that will be outdated in six months. Instead, we focus on the enduring principles of identifying high-value use cases and building solutions that address actual business needs.
Our startup has guided organizations through the process of moving from AI curiosity to deployment, and we've distilled those lessons into this course.
You'll learn to look beyond the marketing hype to determine which problems in your organization are genuinely suited for Gen AI solutions.
This Course Delivers Results Where Others Don't
Unlike theoretical courses that leave you wondering how to apply concepts, or technical deep-dives that ignore business realities, this program bridges the gap between possibility and practicality.
We've designed every session to answer the question: "How do I use this to create actual value in my organization?"
Whether you're looking to enhance customer experiences, streamline operations, or unlock insights from unstructured data, you'll complete this course with concrete tools to transform GenAI from a buzzword into a business advantage.
01
You want to cut through the jargons and actually build something
02
You want to explore strategies and best practices in deploying Gen AI Products
03
You want to identify business problems you can focus on which Gen AI can solve for you
A Framework for AI Use Case Identification
Develop a structured approach to evaluate which business problems in your organization are genuinely suited for GenAI solutions. Stop wasting resources on use cases that look good in demos but fail to deliver ROI.
Practical Experience Building Working Systems
Create actual, functioning GenAI applications using our provided code templates and step-by-step guidance. You'll build and deploy real systems—not just learn concepts.
A Network of Cross-Industry Peers
Connect with professionals facing similar challenges across diverse sectors. Previous cohorts have formed lasting relationships that continue to provide value long after the course ends.
Vendor-Neutral Evaluation Skills
Develop the ability to assess AI vendor claims and capabilities objectively. Learn which questions to ask and what metrics actually matter when evaluating solutions.
Strategic Implementation Roadmap
Build a clear, phased approach to GenAI implementation for your organization that aligns with business objectives and accounts for technical constraints.
Interactive live sessions
Lifetime access to course materials
30 in-depth lessons
Direct access to instructor
7 projects to apply learnings
Guided feedback & reflection
Private community of peers
Course certificate upon completion
Maven Satisfaction Guarantee
This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.
Building Gen AI Agents for Enterprise: Beyond the Hype
4.8 (54 ratings)
Victor Calderon
Tiffany Teasley
Darshil Modi
Tony Dupre
Nicole Lovold-Egar
Dan Kellen
Founder | Ex-Google | Instructor Stanford Continuing Studies & Adjunct UCLA
I am a Founder by day and Professor by night. My work revolves in the realm of LLMs and Multi-Modal Systems.
My startup, traversaal.ai was built with one vision: provide scalable LLM Solutions for Startups and Enterprises, which can seamlessly integrate within the existing ecosystem, while being customizable and cost efficient.
This course is a cumulation of all my learnings and the courses I teach at other universities
Join an upcoming cohort
2025-01
$1,250
Dates
Payment Deadline
4-6 hours per week
Saturday: Module Teaching
8am - 10:00am PST
We will go through each module during this class
Weekly projects
2-4 hours per week
Students will spend time building projects with their team members or individually
Building LLM Applications from Scratch
this course with a focus on production and LLMs is designed to equip students with practical skills necessary to build and deploy machine learning models in real-world settings. Be part of the first 20 people cohort. More in email link..
Join Waitlist!
Active hands-on learning
This course builds on live workshops and hands-on projects
Interactive and project-based
You’ll be interacting with other learners through breakout rooms and project teams
Learn with a cohort of peers
Join a community of like-minded people who want to learn and grow alongside you
Sign up to be the first to know about course updates.
Join an upcoming cohort
2025-01
$1,250
Dates
Payment Deadline