AI Bootcamp: Generative AI beyond the Hype

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AI Bootcamp: Generative AI beyond the Hype

Hamza Farooq

Founder | Ex-Google | Adjunct UCLA & UMN, SCU | Venture Partner

Gabriela de Queiroz

Ex-Microsoft & IBM | Trusted Advisor to 100+ AI Startups | AI Strategy

This course is popular

7 people enrolled last week.

Build and Deploy Actual AI Agents that Drive Real Business Impact

For nearly 3 years, we’ve been running one of Maven’s top-rated AI courses. 15+ cohorts, thousands of students, and a proven record of turning strategy into execution. This is a hands-on course where you’ll actually design, build, and deploy AI agents that create real business impact.

💡 WHAT YOU’LL LEARN

Identify high-value Gen AI use cases that deliver measurable ROI
Design, evaluate, and deploy production-ready AI agents (No coding required)
Confidently lead AI initiatives and align teams around business outcomes

🤖 THE CAPSTONE EXPERIENCE

You won’t just learn—you’ll launch a working AI agent.

Prototype fast with no-code tools
Scale complex systems with low-code methods
Build full-scale web apps with AI backends

✨ WHY THIS COURSE?

We’ve seen the gap firsthand working with Fortune 100s: companies know AI matters but struggle to move beyond strategy decks or prototypes. This course bridges that gap, equipping decision-makers, PMs, and tech leaders with the skills to build AI programs that drive real impact while also giving job seekers, career builders, and mid-career professionals the portfolio projects and skills they need to showcase in order to stand out or transition into AI.

What you’ll learn

Master the what, why, and how of Generative AI by building Enterprise-Grade Agents that go beyond the basics and actually move the needle

Get hands-on with use case identification workshops and business value scorecards
Analyze real case studies from fintech, manufacturing, and consulting to recognize patterns of successful vs. failed implementations
Use No-Code tools to build your first AI Agent

Master AgentPro and similar platforms to create multi-step agent workflows with memory, reasoning, and tool integration
Implement guardrails and safety controls that meet enterprise compliance standards
Deploy agents that can handle customer inquiries, data analysis, and document processing at scale

Apply advanced chunking strategies and embedding techniques to optimize information retrieval accuracy
Build RAG systems with feedback loops that continuously improve relevance and user satisfaction

Configure monitoring dashboards that track system performance, costs, and user satisfaction metrics
Implement multi-layered safety controls, including content filtering, output validation, and escalation protocols
Design deployment architectures that scale efficiently while maintaining response quality

Structure presentations using the Problem-Solution-Impact framework to communicate clearly to non-technical executives
Develop implementation roadmaps with timeline, resource requirements, and success metrics for organizational buy-in
Demo live systems during our capstone showcase, receiving feedback from peers and industry mentors

Learn directly from Hamza & Gabriela de Queiroz

Hamza Farooq

Founder | Ex-Google | Adjunct UCLA & UMN, SCU | Venture Partner

Worked at:

Gabriela de Queiroz

Ex-Microsoft & IBM | Trusted Advisor to 100+ AI Startups | AI Strategy

Worked/ Taught at:

Who this course is for

Product Managers looking to integrate GenAI into their roadmaps with clarity and confidence.
Job Seekers & Career Builders aiming to create cutting-edge portfolio projects, and stand out in the job market.
Technical Leaders and Architects who want to build scalable and safe agentic systems.

Prerequisites

Just be willing to learn, we will take of the rest
If you have never written code before, no worries. We’ll give you everything you

What's included

Live sessions

Learn directly from Hamza Farooq & Gabriela de Queiroz 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.

$25k production-ready SaaS templates

RAG systems, agent orchestration, fine-tuning, guardrails, semantic caching, and production deployment verified through real enterprise use cases

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.

Syllabus

9 live sessions • 41 lessons • 3 projects

Week 1

Oct 7—Oct 12

Oct

Session 1

Thu 10/92:00 AM—3:45 AM (UTC)

Module 1: The GenAI Revolution—Introducing no Code Agents

11 items

Oct

Office Hours

Sat 10/114:00 PM—5:00 PM (UTC)

Week 2

Oct 13—Oct 19

Oct

Session 2

Thu 10/162:00 AM—3:45 AM (UTC)

Module 2: Building Blocks for no Code Agents with RAG

14 items

Oct

Office Hours

Sat 10/184:00 PM—5:00 PM (UTC)

Featured lesson

Design Vertical AI Agents That Deliver Results

Empowering Decision-Making with AI Agents

Multi-agent systems automate workflows, enhance collaboration, and provide real-time support for complex tasks.

Streamlining Knowledge Access with Enterprise RAG

RAG breaks down data silos, enabling seamless access to Enterprise Knowledge for smarter, faster decision-making.

Explore Practical Applications of AI Agents

Get hands-on insights into building AI agents from scratch, understanding their architecture, and deploying them.

Schedule

Product & Technical Lectures: 2 hours per week

Live Class

Office Hours (optional): 1 hour per week

Come say hi, ask questions (not recorded)

Core sessions

- Oct 9
  Thu
  2:00 AM—3:45 AM (UTC)
- Oct 11
  Sat
  4:00 PM—5:00 PM (UTC)
- Oct 16
  Thu
  2:00 AM—3:45 AM (UTC)
- Oct 18
  Sat
  4:00 PM—5:00 PM (UTC)
- Oct 23
  Thu
  2:00 AM—3:45 AM (UTC)
- Oct 25
  Sat
  4:00 PM—5:00 PM (UTC)

Success stories

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
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
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
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
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
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
Beta Cohort