Application closes on
24th Sep 2026
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Application closes 24th Sep 2026
Choose from tracks in finance or marketing, designed to personalize your learning experience and help apply AI to domain-specific contexts through dynamic projects, case studies, and 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:
Navigate the AI landscape and understand foundational concepts to address common business challenges
Apply and evaluate LLM and prompt engineering techniques to generate reliable outputs and optimize performance
Implement and evaluate RAG systems by leveraging embeddings, vector databases, and external knowledge sources
Develop context-aware single-agent systems to automate workflows and improve operational efficiency
Implement planning and reasoning strategies that enable autonomous agents to solve complex business problems
Design and evaluate scalable, transparent multi-agent ecosystems to ensure reliable enterprise AI solutions
#1 (U.S., Big Data Management) in MS Business Analytics
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
Choose an optional Finance or Marketing track aligned with your expertise. Each track explores industry-relevant AI applications and real-world use cases
Create an industry-ready portfolio of hands-on GenAI & AI Agents projects and case studies that showcase real-world mastery
Discuss case studies, see practical demos, clarify doubts, and understand how AI is applied in real-world workflows
Build expertise beyond the core curriculum with additional self-paced modules on Anthropic, developed by industry experts.
Receive guidance from a dedicated program manager, academic support, discussion forums, peer groups, and the Great Learning community
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 workflows and drive business impact with GenAI and Agentic AI without coding
Knowledge Professionals
Develop practical, industry-ready skills in Agentic AI and Generative AI to automate and optimize workflows
Functional Professionals and Managers
Develop industry-ready skills in GenAI and Agentic AI to build solutions that automate and optimize workflows within their organizations
Technology Professionals
Build a strong foundational understanding of Generative AI to expand their knowledge in designing intelligent Agentic AI systems
Aspiring AI Practitioners
Build technical expertise in GenAI and contribute effectively to projects involving Agentic AI for process automation and intelligence
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.
The curriculum, projects and tools listed are indicative and subject to updates as technology evolves.
Note: The curriculum listed above are indicative and subject to updates as technology evolves.
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
Note: The projects listed above are indicative and subject to updates to the curriculum.
Learn to leverage cutting-edge no-code tools to build and optimize AI models and workflows
n8n
ChatGPT
Gemini
Google AI Studio
Gemini Notebook
Claude
Note: The tools listed above are indicative and subject to updates as technology evolves.
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
.jpeg "Bhaskarjit Sarmah - Mentor"){kind=small}
Note: The mentors listed above are indicative and subject to change based on availability and scheduling.
Learners share their feedback on the faculty, mentors, hands-on projects, and overall learning experience
My experience studying at Great Learning was truly transformative, opening the door to the fascinating world of AI, automation, and workflow development. The program introduced me to an entirely new world of AI and automation, particularly the use of n8n for workflow automation. It expanded my understanding of technologies that were previously unfamiliar to me. The practical approach helped me see how AI can be applied in real-world scenarios and educational settings. Despite not having a technical background, the program made complex concepts accessible and encouraged continuous learning. English is not my native language, so I occasionally had to look up unfamiliar words and expressions. Coming from a non-technical background, I found some technical terminology challenging and often needed additional explanations for concepts such as fetch, parse, and other programming-related terms. The learning curve was sometimes steep, requiring extra time for self-study and research. Overall, I am very satisfied that I joined this program. It challenged me to step outside my comfort zone, broadened my knowledge of AI and automation, and gave me valuable skills that I can apply in higher education and beyond.
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Program Director, Inter-Continental University of the Caribbean (ICUC)
Sep 2026
This course really helped me understand the basics of LLMs and then how to actually build no-code AI agents. I felt like the course gave me the foundation to translate these skills across multiple platforms where I need to build agents for my professional career. The support was great, and the classes were also on weekends, which really helped without interfering with my full-time job.
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Syneos Health
Sep 2026
I had a great experience with the program and achieved great results. I learned a lot throughout the course and gained valuable knowledge and practical insights that I can apply going forward. The staff was very supportive, approachable, and accessible whenever I needed assistance. Overall, it was a very positive and rewarding learning experience.
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CQ-Group
Sep 2026
It was a great experience learning new concepts around Agentic AI. I chose the no-code track with some hesitation, but to my surprise, I was able to build AI workflows.
Read More
Union Bank
Sep 2026
I recently completed the Postgraduate Program in AI Agents and Generative AI for Business Applications through Great Learning and the McCombs School of Business at The University of Texas at Austin. I strongly recommend this program to anyone looking to improve their understanding of AI in industry while also having the opportunity to apply the skills gained in realistic applications. As a logistics professional, I found great value in our final project, where we used a multi-agent RAG pipeline to evaluate, respond to, and improve operational responses to last-mile delivery failures. Going into the program, I had only a surface-level understanding of AI and its possibilities beyond being an advanced search engine. By using the low-code approach offered by the program, I was able to gain in-depth knowledge in this rapidly growing area without being distracted by my lack of programming experience. At the same time, I greatly expanded my programming knowledge through the well-structured approach executed by Great Learning. This was a huge positive for me. I am confident that I can take the skills learned and apply them in my professional life.
Read More
Contec Inc
Aug 2026
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
With Functional Learning Tracks: Personalize your learning experience and apply AI to domain-specific contexts
Earn a globally recognized Texas McCombs certificate of completion and CEUs to validate your AI expertise
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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.
Admission closing soon
What is the Post Graduate Program in AI Agents and Generative AI for Business Applications?
What is the duration of the Post Graduate Program in AI Agents and Generative AI?
What is the format of the program?
Does the program offer flexible learning options?
What certificate will I receive after completing the program?
Who will be teaching the program sessions?
What AI agent development tools and techniques are covered in the curriculum?
Can I build AI workflows with no code in this program?
How can I use AI to automate business processes with the help of this program?
Are there any self-paced modules included in the program?
How do I apply for the program?
Are there specific admission deadlines?
Is this program suitable for beginners?
What is the cost of the Post Graduate Program in AI Agents and Generative AI for Business Applications?
Is financial assistance available?
Are there any special offers on the program fee?
Who should I talk to for more specific program details?
How can I use AI agents in my business after completing this program?
Is this program recognized by a university?
How do I build and deploy agents?
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
24th Sep 2026
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