Enterprise Knowledge Management and Multi-Agent Architecture

Hosted by Hamza Farooq

522 students

What you'll learn

Streamlining Knowledge Access with Enterprise RAG

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

Empowering Decision-Making with AI Agents

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

Explore Practical Applications of AI Agents

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

Why this topic matters

Enterprise Knowledge Management (EKM) has become critical for organizational success. Building scalable retrieval systems is key to understanding how to build better EKMs. AI agents further amplify this potential by automating repetitive tasks, enabling dynamic collaboration, and acting as intelligent decision-support tools.

You'll learn from

Hamza Farooq

Founder & Adjunct Professor | 15+ years | Google | Stanford | UCLA

I am the founder of Traversaal.ai, an LLM-based startup dedicated to creating scalable, customizable, and cost-efficient language model solutions for enterprises.


With over 15 years of experience in machine learning, my journey has spanned three continents and seven countries, covering a diverse range of industries such as tech, telecommunications, finance, and retail.


As a former Senior Research Manager at Google and Walmart Labs, I have led data science and machine learning teams, focusing on optimization, natural language processing, recommender systems, and time series forecasting.

I am also an adjunct professor at Stanford and UCLA, where I bridge the gap between academic theory and real-world AI applications.


Additionally, I frequently speak at conferences and conduct training sessions, sharing insights on large language models, deep learning, and cloud computing.

Previously at

Google
Walmart
University of Minnesota
Coursera
© 2025 Maven Learning, Inc.