PROGRAM OUTCOMES
Drive measurable value with Agentic AI
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Navigate the AI landscape
Understand foundational concepts to address business challenges across functions
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Enhance productivity with multi-agent systems
Design, evaluate, and secure multi-agent ecosystems for enterprise AI solutions
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Drive operational efficiency with AI Agents
Implement planning and reasoning strategies that enable autonomous agents to solve complex business problems
Learn how to build Agentic AI Systems from
A globally recognised leader in Business Analytics
Earn a certificate of completion from the McCombs School of Business at The University of Texas at Austin
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#1 (U.S., Big Data Management) in MS Business Analytic
Eduniversal (2025)
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#6 Analytics
U.S. News & World Report (2025)
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#6 Business Programs
U.S. News & World Report (2025)
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#7 in MS - Business Analytics
QS World University Rankings (2022)
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#7 in MS Business Analytics
The Financial Engineer Times (2025)
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#3 in Information Systems Graduate Programs
U.S. News & World Report (April 2025)
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#7 Public University in the U.S.
U.S. News & World Report, 2026
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#6 in Executive Education - Custom Programs
Financial Times, 2022
* Image for illustration only. Certificate subject to change.
Master cutting-edge AI skills
Master cutting-edge AI skills
The curriculum is delivered across two flexible tracks and offers a comprehensive understanding of AI Agents and their applications.
Agentic AI
Generative AI
Large Language Models
Prompt Engineering
Retrieval Augmented Generation (RAG)
Agentic RAG
Model Context Protocol (MCP) Framework
Secure Tool Access via MCP
ReAct Paradigm
Multi-Agent Systems
Hands-On Projects
Case Studies
Tools and Technologies
Experience a unique learning journey
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Learn from top Faculty
Learn from Texas McCombs Faculty and gain valuable insights on the applications of Artificial Intelligence
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Live mentorship sessions
Engage with industry experts who discuss real-world cases on Agentic AI, GenAI, LLMs, and AI agents
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Hands-on learning
Learn to solve complex business problems through AI tools, hands-on projects, and case studies
This program is ideal for
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Knowledge Professionals
Looking to develop practical, industry-ready skills in Agentic AI and Generative AI to automate and optimize workflows.
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Business and Technology Experts
Seeking a strong foundation in Generative AI to expand their knowledge in designing intelligent Agentic AI systems.
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Functional Professionals and Managers
Looking to develop industry-ready skills to build solutions that automate and optimize workflows within their organizations.
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Implementation Strategists
Designing end-to-end pilots that account for clinical workflow mapping, stakeholder constraints, and safe deployment.
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Aspiring AI Practitioners
Aiming to build technical expertise in GenAI and contribute to projects using Agentic AI for process automation and intelligence.
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Technical Leaders, Decision-Makers and Innovators
Driving GenAI adoption in the workplace, aiming to guide their teams in translating business workflows into Agentic AI solutions.
Learn Agentic AI from world-renowned faculty
Through recorded video lectures and live masterclasses
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Dr. Kumar Muthuraman
Faculty Director, McCombs School of Business, The University of Texas at Austin
Faculty Director, Center for Analytics and Transformative Technologies
21+ years' experience in AI, ML, Deep Learning, and NLP.
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Dr. Daniel A Mitchell
Clinical Assistant Professor, McCombs School of Business, The University of Texas at Austin
Ph.D. in Information, Risk, and Operations Management
15+ years of experience in financial engineering
Learn from global experts
Interact with dedicated mentors who are practitioners and experts in Agentic AI
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Bhaskarjit Sarmah
Head of AI Research, Domyn
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Juan Jose Ortiz
Managing Director, Data Analytics & AI at Hartman Executive Advisors
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Giancarlo Crocetti
Director of the St. John’s AI Institute
Start building with Agentic AI
Gain a competitive edge with AI-enabled decision-making
Post Graduate Program in AI Agents and Generative AI for Business Applications
13 Weeks | Choose a Code or No-Code Track | Hands-On Learning
Application closes on24th Apr 2026
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