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25th Jun 2026
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Application closes 25th Jun 2026
Learn to build domain-specific AI workflows from Texas McCombs Faculty and Industry Experts with hands-on projects & case studies using 15+ no-code tools.
Learn from a top U.S. business school, ranked #1 in Information Systems, #6 for Master’s in Business Analytics, #7 in Artificial Intelligence, and #9 in Business Analytics in the U.S.
LEARNING OUTCOMES
Through a structured learning journey, you will build the capability to:
Identify high-impact GenAI and Agentic AI use cases within your function or business domain
Automate domain-specific workflows using no-code AI tools
Apply LLMs and prompt engineering to improve productivity, decision-making, and output quality
Build context-aware AI agents that support operational efficiency and business problem-solving
Design RAG-based systems to improve accuracy, relevance, and knowledge retrieval
Evaluate AI outputs, agent performance, and workflow reliability with strategic judgment
#1 (U.S., Big Data Management) in MS Business Analytic
Eduniversal (2025)
#6 Analytics
U.S. News & World Report (2025)
#6 Business Programs
U.S. News & World Report (2025)
#7 in MS - Business Analytics
QS World University Rankings (2022)
#7 in MS Business Analytics
The Financial Engineer Times (2025)
#3 in Information Systems Graduate Programs
U.S. News & World Report (April 2025)
#7 Public University in the U.S.
U.S. News & World Report, 2026
#6 in Executive Education - Custom Programs
Financial Times, 2022
KEY PROGRAM HIGHLIGHTS
Build core foundations through recorded lectures and monthly faculty-led masterclasses that connect AI concepts to business applications
Build and automate AI workflows without coding or a technical background
Create an industry-ready portfolio of hands-on GenAI & AI Agents projects and case studies that showcase real-world mastery
Receive guidance from a dedicated program manager, academic support, discussion forums, peer groups, and the Great Learning community
Discuss case studies, see practical demos, clarify doubts, and understand how AI is applied in real-world workflows
Earn a Certificate of Completion and Continuing Education Units (CEU’s) from the McCombs School of Business at The University of Texas at Austin, upon completion of the program
Skills you will learn
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Professionals looking to automate workflow & drive business impact with GenAI & Agentic AI using no-code tools
Functional and Business Leaders
Identify high-impact AI opportunities, streamline workflows & drive efficiency, productivity & innovation within your function
Functional Managers and Domain Professionals
Apply GenAI & AI Agents across Finance, Marketing, Operations, HR, & Consulting domains to drive impact
Technical Leaders and Decision-Makers
Lead AI implementation and build scalable GenAI and Agentic AI solutions for business impact
Build strategic judgement and human intuition with our unique structured learning approach
Learn from Texas McCombs faculty and industry experts to master AI strategy and implementation
Work on business problems & case studies using 15+ tools & build an e-portfolio of AI projects
Earn a certificate of completion and Continuing Education Units (CEUs) from Texas McCombs
Program managers will help you stay on track, navigate key milestones & complete the program
Decision Science and AI: AI Workflows and Agents
In the 3-day immersive on-campus program, you will:
Reach out to your Program Advisor for more details
Designed by faculty from Texas McCombs, the curriculum offers a comprehensive overview of AI agents, from the fundamentals of GenAI, large language models, and retrieval-augmented generation to building intelligent, scalable systems that automate business workflows and enhance decision-making.
3
Hands-On Projects
15+
Case Studies
15+
Tools and Technologies
This module introduces learners to the AI landscape by exploring key concepts, technologies, and business applications of AI, Generative AI, and Agentic AI. It also provides foundational knowledge of the tools and environments used throughout the program, enabling learners to begin building AI-powered solutions using both code- and no-code approaches.
This module provides an overview of the Generative AI and Agentic AI landscape, exploring the critical distinctions between generative and discriminative AI, their applications, and bias and hallucination associated with modern AI systems.
This module builds on a fundamental understanding of LLMs by tackling the challenge of prompt stability, optimizing prompts for consistent performance, providing a rigorous framework for LLM evaluation via LLM-as-a-Judge, and curating gold-standard datasets for human evaluation. The module also covers Retrieval-Augmented Generation (RAG), exploring data chunking, embeddings, and vector databases to ground models in external knowledge, to build and evaluate context-aware, reliable Generative AI solutions.
This module focuses on designing and implementing Agentic AI systems for complex business applications. Learners begin by examining responsible AI practices and security considerations for deploying LLM-based solutions. The module then explores the architecture of AI agents, including how tools, memory, and reasoning strategies enable autonomous task execution. Building on this foundation, learners design both single-agent and multi-agent systems capable of collaboration and distributed problem-solving. The module concludes with evaluation techniques and human-in-the-loop approaches to ensure reliability, performance, and governance in Agentic AI solutions.
This module will help you explore how to solve business problems by examining the capabilities of text-to-image and image-to-text Generative AI tools like DALL·E through business use cases and by exploring the speech recognition capabilities of audio-to-text Generative AI tools like Whisper through business use cases.
Work on real-world case studies across industries & functions using 15+ tools and technologies
Project
Description
CUSTOMER SUPPORT | Improve customer experience and operational efficiency by leveraging NLP and LLM-based automation to classify support tickets, tag key issues, prioritize them using sentiment signals, and generate automated first responses for faster and more effective customer support.
Skills you will learn
Project
Description
FINANCE | Aid Financial Analysts of an organization to extract key information from long financial documents like annual reports effectively using Retrieval-Augmented Generation (RAG), thereby increasing efficiency in making key financial decisions.
Skills you will learn
Project
Description
LOGISTICS AND SUPPLY CHAIN | Improve last-mile logistics efficiency by implementing a multi-agent AI system that detects delivery exceptions from operational logs, applies policy-based reasoning to determine optimal resolution actions, generates personalized customer communications, and escalates complex cases while maintaining full auditability.
Skills you will learn
Case Study
Description
RETAIL | Enable dynamic, context-aware interactions that assist customers with product queries and order tracking by developing a retail chatbot using a multi-agent system, improving the overall shopping experience.
Skills you will learn
Learn 15+ tools like OpenAI, N8N, Notebook LM, Claude, and more to build and optimize AI models and workflows
Python
LangChain
LangGraph
MCP Framework
LangSmith
ChatGPT
Hugging Face
ChromaDB
Stand out in a competitive market with a verified Post Graduate Certificate of Completion in AI Agents and Generative AI for Business Applications that validates your AI expertise through rigorous, practical assessments.
* Image for illustration only. Certificate subject to change.
Learn from renowned Texas McCombs faculty and build technical intuition to make credible, strategic decisions
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.
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 seasoned AI industry mentors in weekly live sessions to apply concepts and build practical skills
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Interact personally with industry professionals to get valuable insights and guidance
Get an insiders perspective to understand what recruiters are looking for
Get your resume and LinkedIn profile reviewed by our experts to highlight your Agentic AI skills & projects
Build an industry-ready portfolio to showcase your mastery of skills and tools
The course fee is USD 3,450
13-Week Online Comprehensive Journey: Identify high impact use cases to build AI Agents with no-code tools
Structured Learning: Dedicate 8–10 hours weekly to faculty videos, mentor sessions, and hands-on AI projects
Dedicated Mentorship: Attend weekly live online sessions with top Industry Mentors and build AI Agents
Earn a globally recognized Texas McCombs certificate of completion and CEUs to validate your AI expertise
Easy payment plans
Avail our EMI options & get financial assistance
INSTALLMENT PLANS
Upto 3 months Installment plans
Explore our flexible payment plans
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*Subject to third party credit facility provider approval based on applicable regions & eligibility
Applications close once the required number of participants enroll. Apply early to secure your spot
Register by completing the online application form.
A panel from Great Learning will review your application to determine your fit for the program.
Receive an offer for a seat in the upcoming cohort of the program after a final review.
Admissions Open
What is the Post Graduate Program in AI Agents and Generative AI for Business Applications?
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What AI agent development tools and techniques are covered in the curriculum?
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How can AI improve efficiency in business operations?
The McCombs School of Business at the University of Texas at Austin is collaborating with online education provider Great Learning to offer the Post Graduate Program in AI Agents and Generative AI for Business Applications. Great Learning collaborates with institutions to manage enrollments (including all payment services and invoicing), technology, and participant support.
Application closes
25th Jun 2026
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