Building Gen AI Agents for Enterprise: Beyond the Hype
Hamza Farooq
Founder | Ex-Google | Instructor Stanford Continuing Studies & Adjunct UCLA
Build Production-Ready SaaS Agents that work
You're drowning in AI vendor promises and overlapping tools, wondering: "Which of these actually solves our problems?"
After working with organizations across fintech, supply chain, and manufacturing, we've seen the same pattern: businesses know AI matters but can't identify use cases that deliver measurable ROI.
This course cuts through the noise. You'll build production-ready GenAI SaaS Agents using no-code and low-code approaches—without needing a programming background.
You will build full-scale websites with an AI backend.
Two-Part Approach:
We focus on the "what" before the "how"—use case identification, business value assessment, and strategic deployment over technical implementation.
7 Modules: From Concept to Demo
Master the what, why, and how of Generative AI by building Enterprise-Grade Agents that go beyond the basics and actually move the needle
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
Career highlights
1750$
Hamza Farooq
Founder | Ex-Google | Instructor Stanford Continuing Studies & Adjunct UCLA
Build Production-Ready SaaS Agents that work
You're drowning in AI vendor promises and overlapping tools, wondering: "Which of these actually solves our problems?"
After working with organizations across fintech, supply chain, and manufacturing, we've seen the same pattern: businesses know AI matters but can't identify use cases that deliver measurable ROI.
This course cuts through the noise. You'll build production-ready GenAI SaaS Agents using no-code and low-code approaches—without needing a programming background.
You will build full-scale websites with an AI backend.
Two-Part Approach:
- No-code tools for building AI agents
- Low-code approaches for complex agent systems
We focus on the "what" before the "how"—use case identification, business value assessment, and strategic deployment over technical implementation.
7 Modules: From Concept to Demo
- Module 1: GenAI landscape and Industry impact
- Module 2: No-code agent building blocks (loveable & n8n)
- Module 3: Enterprise RAG with production guardrails
- Module 4: Vertical AI Agents and Orchestration
- Module 5: Deploying a production-ready website with an AI backend
- Module 6: Capstone workshop with peer feedback
- Module 7: Demo day—present your working system
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
- Implement multi-layered safety controls, including content filtering, output validation, and escalation protocols
- Design deployment architectures that scale efficiently while maintaining response quality
- 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
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
Career highlights
- UCLA Anderson School of Management – Designed and taught Machine Learning System Design in the #1 globally ranked MSBA program (QS).
- Author of "Building an LLM Applications from Scratch" – A hands-on guide that’s become a practitioner’s bible for RAG and agentic systems.
- Global Impact – Taught 10,000+ students worldwide through open education initiatives, with projects featured in Times Square twice.
- Industry Expertise – Led AI projects with Google, and worldwide, including building secure Enterprise RAGs and regional language models
- Bootstrapped Founder – CEO & Founder of Traversaal.ai, leading an 18-engineer global team building enterprise-grade AI agents
- Product Managers looking to integrate GenAI into their roadmaps with clarity and confidenceYou want to cut through the jargons and actually
- Technical Leaders and Architects who want to build scalable and safe GenAI systems
- Startup Founders & Innovation Teams aiming to create competitive GenAI-powered products
1750$
https://maven.com/boring-bot/ml-system-design