Hamza Farooq
Ex-Google | Prof UCLA & UMN | Founder
Gabriela de Queiroz
Ex-Microsoft & IBM | AI Advisor
Build and Deploy Actual AI Agents that Drive Real Business Impact
For nearly 3 years, we’ve run one of Maven’s top-rated AI courses: 15+ cohorts, thousands of students, and a proven record of turning strategy into execution. This hands-on course teaches you to design, build, and deploy AI agents that create real business impact.
💡 WHAT YOU’LL LEARN
Identify high-value use cases that deliver measurable ROI
Design, evaluate, and deploy production-ready AI agents and lead AI initiatives with confidence.
🚀 NEW IN THE 2026 CURRICULUM
AI agent evaluation frameworks used in real production systems
Hands-on Claude Code workshops for building AI-powered applications
Advanced multi-agent orchestration patterns
🤖 THE CAPSTONE EXPERIENCE
You won’t just learn, you’ll launch working AI agents.
Prototype → Scale → Deploy
No-code agent prototypes
Production-grade AI applications & agents
✨ WHY THIS COURSE?
From our work with Fortune 100 companies, we’ve seen the gap: companies know AI matters but struggle to move beyond strategy decks or prototypes.
This course bridges that gap—equipping PMs, tech leaders, and professionals with the skills to build AI products that deliver real impact while also developing portfolios that help them 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
Use Claude Code to rapidly prototype AI powered applications
Build tools, APIs, and workflows that integrate with AI agents
Learn how AI coding assistants accelerate development of production systems
Learn practical evaluation strategies for agent performance, reliability, and hallucination reduction
Use structured evaluation techniques to measure agent quality before deployment
Analyze real examples from production agents we’ve built
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
Who this course is for
Product Managers looking to integrate AI into their roadmaps and communicate with stakeholders confidently.
Business & Non-Technical Leaders. Executives and consultants who need to translate AI into business value and strategy.
Job Seekers & Career Builders. Professionals aiming to create standout portfolio projects and pivot into AI roles.
Prerequisites
Just be willing to learn, we'll take care of the rest
If you have never written code before, no worries. We’ll give all the support and everything you will need.
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.
5+ Office Hour Q&As
Open office hours for deep dives, debugging help, and personalized feedback.
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 through the second week of the course.
Course syllabus
12 live sessions • 33 lessons • 5 projects
Week 1
Free resource
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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
Live sessions
2-3 hrs / week
Weekly live class + office hours .
Sun, Mar 22
4:00 PM—6:00 PM (UTC)
Sun, Mar 29
4:00 PM—6:00 PM (UTC)
Wed, Apr 1
3:00 PM—4:00 PM (UTC)
Projects
2 hrs / week
Build real-world AI projects to cement learning.
Async content
1 hr / week
Self-paced resources & extras.
Testimonials
- 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
Students from all over the world
Proud to have served to 1500+ students!
Join my free course with 11k+ Students
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Various events and conferences, I have been teaching
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Projects built by our previous cohorts
Pantheon: A showcase of our most loved projects!
Frequently asked questions
$2,100
USD