Join a live hands-on workshop
What you get
- Led by an industry expert who shows you the right way to build an agent
- Submit your agent and get personalized AI feedback
This is a paid workshop. Book your seat from inside Week 1, once you've started.
PG Program in AI Agents for Business Applications
Certificate of completion
From the McCombs School of Business at UT Austin
+ 2.5 CEUs
Week 1 Curriculum
Learn the concepts from top faculty, then unlock a live build with an industry mentor and personalized AI feedback.
Recorded lessons cover how large language models work, how to prompt them, and how an agent differs from a chatbot. Then you set up your own news briefing agent from a starter template.
An industry expert runs the agent live, stress-tests it and improves it, then answers your questions.
Polish and test your agent, then submit it for feedback on your own build.
What you get
This is a paid workshop. Book your seat from inside Week 1, once you've started.
Two tracks
Both build working agents. Only the tools differ.
For functional professionals who never wrote code and don’t want to. You build with visual drag-and-drop tools.
n8n · Google AI Studio · Claude · ChatGPT
For anyone who writes some Python, or wants to. You build with code, APIs and agent frameworks.
Python · LangChain · LangGraph · OpenAI
Not sure which fits?
After Week 1
Your Week 1 progress carries over.
Build AI agents that use tools, remember context and take action to run real business workflows end to end.
Equip your agent to answer from your own data, test and evaluate every output, and protect it from misuse and attacks.
Orchestrate a system of multiple specialist agents that work together to solve complex enterprise problems.
Learn how LLMs and AI agents work. Write and test prompts that give consistent results, and connect AI to your own documents so its answers are accurate and verifiable.
LLMs · Prompt Engineering · Python for Agentic AI · Prompt Optimization · LLM-as-a-Judge · Retrieval-Augmented Generation (RAG)
Build AI Agents that run processes end to end by thinking, observing, remembering, and acting, and protect them from misuse and attacks.
Single-Agent Systems · Tools · Memory · Model Context Protocol (MCP) · ReAct · Responsible AI · Guardrails
Design teams of specialist AI agents that work together on complex business problems, then test and evaluate them before they go live to users.
Multi-Agent Orchestration · Agentic RAG · Agent Evaluation · Human-in-the-Loop
Awarded on completing the full program. Image for illustration only
Faculty and mentors
Faculty Director, McCombs School of Business, The University of Texas at Austin
21+ years' experience in AI, machine learning, 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' experience in financial engineering
AI Engineer and Founder, Percruit
Former Team Lead of Data Science at Xsolis; teaches agentic AI for Great Learning and MIT Professional Education
Data Engineer, Workday
Head of AI Research for Financial Services, Domyn
Applied Science, AI/ML, Apple
Tech Lead, Engineering, Capital One
Senior AI Engineer, Newmark
“The program was a great experience and truly exceeded my expectations. I now feel well-prepared to apply AI solutions within any organization.”
Eldert J. LouisaChief Technology Officer, CircleGX
“The hands-on projects made it easy to understand the concepts. The instructors explained everything clearly and were very supportive.”
ArifNike
“This program provided a rigorous exploration of autonomous agents, moving beyond foundational large language models.”
Reid WisaChief Information Security Officer, Real Performance Marketing
“My three course projects taught me how to turn a business problem into an agent workflow, connect AI to trusted information, and identify risks before deployment.”
Adolfo Julian CamperoProgram graduate
“I left the program with a solid understanding of the key learnings and principles. The instructors are highly skilled.”
Daniel AnzaldoDynata
Build your first agent before you decide to enroll.
Answers instantly