Building Gen AI Agents for Enterprise: Beyond the Hype

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

Google
company logo
University of Minnesota
Coursera

Course overview

What can Agents do for me?

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.


Who is this course for

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

Actionable Business Value, Not Just Technical Knowledge Outcome

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.

This course includes

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.

Course syllabus

Week 1

Jun 18—Jun 22

    Module 1: The GenAI Revolution—Strategic Implications for Business Leaders

    12 items

Week 2

Jun 23—Jun 29

    Module 2: Foundational Knowledge of Transformers & LLM System Design

    10 items • Free preview

Week 3

Jun 30—Jul 6

    Module 3: Semantic Search

    4 items • Free preview

Week 4

Jul 7—Jul 13
    Nothing scheduled for this week

Week 5

Jul 14—Jul 20
    Nothing scheduled for this week

Week 6

Jul 21
    Nothing scheduled for this week

Post-course

    Demo Day

    1 item

    Module 4: Creating a search engine from scratch

    4 items • Free preview

    Module 5 - The Generation Part of LLMs

    5 items

    Module 6: Prompt-tuning, fine-tuning and local LLMS

    1 item

4.8 (54 ratings)

What students are saying

What people are saying

        The course was great! It was full of great content, a very active cohort, and I feel I learned many methods for putting Large Language Models (LLM) into production. The course was very well-structured, starting with the basics of NLP and building up towards analyzing and describing documents using NLP techniques, all the way to deploying an API
Victor Calderon

Victor Calderon

Senior Machine Learning Engineer
        Amazing! I am leaving this course feeling empowered and equipped with the skills to leverage LLMs to build and deploy applications. I was able to implement the knowledge I learned immediately at work and with personal projects. Hamza is an awesome instructor. He is passionate about this topic and was able to simplify the concepts
Tiffany Teasley

Tiffany Teasley

Data Scientist & Career Coach at Data Sistah
        Prof Hamza Farooq is a far-sighted, application oriented AI Researcher and a great Professor. Working under him was full of learnings and practical knowledge
Darshil Modi

Darshil Modi

Cohort 1
        Hamza provided several excellent projects to learn from, showcasing quite a few ML practices and options in each. Learned a ton that I continually go back to!
Tony Dupre

Tony Dupre

Cohort 1
        Hamza's class was among my favorites of my Master's program! He makes the tools of machine learning accessible and his teaching skills are on point.
Nicole Lovold-Egar

Nicole Lovold-Egar

Beta Cohort
        Hamza was an excellent instructor. He was able to explain various machine learning techniques in ways that were easy to understand and apply them to real world problems
Dan Kellen

Dan Kellen

Beta Cohort

Excited to have you here

Hamza Farooq

Hamza Farooq

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

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Join an upcoming cohort

Building Gen AI Agents for Enterprise: Beyond the Hype

2025-01

$1,250

Dates

June 19—July 21, 2025

Payment Deadline

June 18, 2025
Get reimbursed

Course schedule

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

Free resource

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!

Learning is better with cohorts

Learning is better with cohorts

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

Frequently Asked Questions

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A pattern of wavy dots

Join an upcoming cohort

Building Gen AI Agents for Enterprise: Beyond the Hype

2025-01

$1,250

Dates

June 19—July 21, 2025

Payment Deadline

June 18, 2025
Get reimbursed

$1,250

4.8 (54)

·

5 Weeks