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Post Graduate Program in AI Agents and Generative AI for Business Applications

Post Graduate Program in AI Agents and Generative AI for Business Applications

Application closes 16th Apr 2026

Key Program Features

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    Requires No Programming Background

    Curated for professionals from diverse backgrounds, the research-backed curriculum ensures that participants can build and deploy intelligent agents regardless of their technical starting point.

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    Flexible Learning Tracks

    This program offers learners the flexibility to choose between two distinct tracks at the outset of the program: a coding-based track (Python-focused) and a no-code, tools-based track.

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LEARNING OUTCOMES

Elevate Your Career with AI

Build Agentic AI workflows to solve business problems and drive growth

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    Navigate the AI landscape and understand foundational concepts to address common business challenges

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    Apply and evaluate LLM and prompt engineering techniques to optimize performance, and ensure prompt stability

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    Build intelligent, context-aware single-agent systems to automate workflows and improve operational efficiency

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    Implement planning and reasoning strategies that enable autonomous agents to solve complex business problems

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    Design and evaluate scalable, transparent multi-agent ecosystems to ensure reliable enterprise AI solutions

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    Implement and evaluate RAG systems to enhance accuracy, contextual relevance, and business productivity

Earn a certificate of completion from Texas McCombs

  • #1 (U.S., Big Data Management) in MS Business Analytic

    #1 (U.S., Big Data Management) in MS Business Analytic

    Eduniversal (2025)

  • #6 Analytics

    #6 Analytics

    U.S. News & World Report (2025)

  • #6 Business Programs

    #6 Business Programs

    U.S. News & World Report (2025)

  • #7 in MS - Business Analytics

    #7 in MS - Business Analytics

    QS World University Rankings (2022)

  • #7 in MS Business Analytics

    #7 in MS Business Analytics

    The Financial Engineer Times (2025)

  • #3 in Information Systems Graduate Programs

    #3 in Information Systems Graduate Programs

    U.S. News & World Report (April 2025)

  • #7 Public University in the U.S.

    #7 Public University in the U.S.

    U.S. News & World Report, 2026

  • #6 in Executive Education - Custom Programs

    #6 in Executive Education - Custom Programs

    Financial Times, 2022

KEY PROGRAM HIGHLIGHTS

Why Choose This Program?

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    Learn from renowned faculty and experts

    Learn from recorded lectures and monthly live masterclasses by Texas McCombs faculty, and live, mentor-led sessions where industry experts present real-world case studies

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    Choose to learn with or without code

    Choose between a Python-based coding track or a no-code, tools-based track, and complete hands-on components using aligned technologies

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    Hands-on learning

    Build industry-ready skills for creating intelligent Agentic AI systems using industry-relevant tools, projects, and real-world case studies across sectors

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    Learning support

    Get personalized assistance from a dedicated program manager, academic support through the Great Learning community, project discussion forums, and peer groups

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    Create a compelling e-portfolio

    Develop an industry-ready portfolio that showcases your mastery of skills and tools

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    Earn recognized credentials

    Upon program completion, earn a globally recognized certificate of completion and Continuing Education Units (CEUs) from Texas McCombs

Skills you will learn

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

HUMAN FEEDBACK LOOPS

RESPONSIBLE AI

PROMPT & CONTEXT SECURITY

AGENT MEMORY SECURITY

GROUNDING & VALIDATION OF AI AGENTS

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

HUMAN FEEDBACK LOOPS

RESPONSIBLE AI

PROMPT & CONTEXT SECURITY

AGENT MEMORY SECURITY

GROUNDING & VALIDATION OF AI AGENTS

view more

  • Overview
  • Learning Journey
  • Curriculum
  • Projects
  • Tools
  • Certificate
  • Faculty
  • Mentors
  • Fees
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This Program Is Designed For

Professionals across career stages seeking a flexible learning track to build Agentic AI systems.

  • Knowledge Professionals

    Looking to develop practical, industry-ready skills in Agentic AI and Generative AI to automate and optimize workflows.

  • Business and Technology Experts

    Seeking a strong foundation in Generative AI to expand their knowledge in designing intelligent Agentic AI systems.

  • Functional Professionals and Managers

    Looking to develop industry-ready skills to build solutions that automate and optimize workflows within their organizations.

  • Implementation Strategists

    Designing end-to-end pilots that account for clinical workflow mapping, stakeholder constraints, and safe deployment.

  • Aspiring AI Practitioners

    Aiming to build technical expertise in GenAI and contribute to projects using Agentic AI for process automation and intelligence.

  • 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.

Experience a Unique Learning Journey

Our pedagogy is designed to ensure career growth and transformation

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    Learn from world-renowned faculty

    Learn critical concepts through live masterclasses and recorded video lectures

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    Engage with your mentors

    Clarify your doubts and gain practical skills during weekly live sessions with industry experts

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    Work on hands-on projects

    Work on projects to apply the concepts & tools learnt in the module

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    Get personalized assistance

    Our dedicated program managers will support you through your learning journey

On-Campus Immersion (Optional Paid Program)

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AI Agents and GenAI with On-Campus Immersion

In the 3-day immersive on-campus program, you will:

  • Connect with like-minded AI-professionals
  • Engage with world-class faculty
  • Learn first-hand from global industry experts
  • Earn Continuing Education Units upon program completion

Reach our to your Program Advisor for more details

Comprehensive Curriculum

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

PRE-WORK

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.

Concepts Covered

- Introduction to the World of Data and AI - Hands-On Tool Introduction and Setup (Code and No-Code)

MODULE 01: GENERATIVE AND AGENTIC AI FOUNDATIONS

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.

Concepts Covered

- The Generative AI and Agentic AI Landscape - No-code Workflows and Python Programming with Generative AI - Large Language Models and Prompt Engineering - Project Week

MODULE 02: BUSINESS APPLICATIONS WITH LLMS

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.

Concepts Covered

- Evaluating Generative AI Workflows - Retrieval-Augmented Generation - Learning Break - Project Week

MODULE 03: BUSINESS APPLICATIONS WITH AGENTIC AI

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.

Concepts Covered

- Responsible AI - Single-Agent Systems - Multi-Agent Systems - Evaluating Agentic AI Systems - Project Week

SELF-PACED MODULE: MASTERCLASS ON MULTIMODAL GENERATIVE AI

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.

Concepts Covered

- Image captioning using GenAI - Speech recognition using GenAI

Work on Hands-On Projects and Case Studies

Engage in hands-on projects and 15+ real-world case studies using emerging tools and technologies

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Project

Intelligent Support Ticket Categorization

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

  • Python
  • Google Colab
  • OpenAI APIs
  • Hugging Face
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Project

Company Financial Report Q&A

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

  • Generative AI
  • Large Language Models
  • Prompt Engineering
  • Retrieval Augmented Generation
  • Financial Document Analysis
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Project

AI-powered Last-Mile Delivery Exception Handling Automation

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

  • LangGraph
  • LangChain
  • LangSmith
  • Multi-agent System
  • OpenAI API
  • Human-in-the-Loop Evaluation
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Case Study

Retail Order Query Chatbot

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

  • Agentic AI
  • Multi-Agent Systems
  • Chatbot Development
  • Context-Aware Interaction
  • Python
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Case Study

Clinical Decision Support Assistant

Description

HEALTHCARE | Enhance diagnostic efficiency and clinical decision-making by implementing a RAG-based AI system that retrieves trusted medical knowledge from authoritative manuals to answer healthcare queries and support evidence-based treatment decisions.

Skills you will learn

  • Python
  • Google Colab
  • Hugging Face
  • Langchain
  • ChromaDB
  • Sentence Transformers
  • OpenAI API
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Case Study

Financial Report Insight Assistant

Description

FINANCE | Improve analyst productivity and decision-making by implementing a RAG-based system that enables natural-language querying of business reports, retrieving relevant insights and summaries from lengthy documents without requiring full manual review.

Skills you will learn

  • Python
  • Google Colab
  • Hugging Face
  • Langchain
  • ChromaDB
  • Sentence Transformers
  • OpenAI API
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Case Study

Reimbursement Automation

Description

FINANCE | Improve financial operations by leveraging AI to automatically extract receipt details, categorize expenses, and validate reimbursement requests against company policies, reducing manual effort, minimizing errors, and accelerating employee reimbursements.

Skills you will learn

  • LangGraph
  • LangChain
  • Single-agent System
  • MCP
  • OpenAI API
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Case Study

AI Helpdesk Copilot

Description

CUSTOMER SUPPORT | Improve customer support efficiency by implementing an agentic AI system that classifies support tickets, retrieves relevant knowledge, and generates grounded, policy-compliant first responses with explainable reasoning and automated escalation when needed.

Skills you will learn

  • LangGraph
  • LangChain
  • LangSmith
  • Multi-agent System
  • OpenAI API
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Case Study

AI-powered Shipment Disruption Router

Description

LOGISTICS & SUPPLY CHAIN | Improve logistics operational efficiency by implementing a multi-agent AI system that analyzes shipment disruptions, retrieves policy-based mitigation rules, and generates validated routing decisions with escalation for high-risk cases while maintaining full auditability.

Skills you will learn

  • LangGraph
  • LangChain
  • LangSmith
  • Multi-agent System
  • OpenAI API
  • Human-in-the-Loop Evaluation

Learn In-Demand AI Tools and Techniques

Foundational and advanced tools for Agentic AI to solve complex business challenges

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    n8n

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    Python

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    LangChain

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    LangGraph

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    LangSmith

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    Google Colab

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    OpenAI APIs

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    NotebookLM

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    ChatGPT

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    Gemini

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    ChromaDB

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    Hugging Face

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    DSPy

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    Sentence Transformers

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    MCP Framework

Earn a certificate of completion

Earn a globally recognized credential from a top U.S. university and showcase it to your network

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* Image for illustration only. Certificate subject to change.

Meet Your Faculty

Learn from the top, world-renowned faculty from Texas McCombs

  • Dr. Kumar Muthuraman - Faculty Director

    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.

    Know More
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  • Dr. Daniel A Mitchell  - Faculty Director

    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

    Know More
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Interact With Our Industry Mentors

Interact with dedicated mentors who are practitioners and experts in Agentic AI

  •  Bhaskarjit Sarmah  - Mentor

    Bhaskarjit Sarmah linkin icon

    Head of AI Research, Domyn
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  •  Juan Jose Ortiz  - Mentor

    Juan Jose Ortiz linkin icon

    Managing Director, Data Analytics & AI at Hartman Executive Advisors
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  •  Giancarlo Crocetti  - Mentor

    Giancarlo Crocetti linkin icon

    Director of the St. John’s AI Institute
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Course Fees

The course fee is USD 3,450

Invest in your career

  • benifits-icon

    Navigate the AI landscape and understand foundational concepts to address common business challenges

  • benifits-icon

    Apply GenAI, Large Language Models, and Retrieval-Augmented Generation to enhance business productivity

  • benifits-icon

    Build intelligent, context-aware single-agent systems to automate workflows and improve operational efficiency

  • benifits-icon

    Implement planning and reasoning strategies that enable autonomous agents to solve complex business problems

Take the next step

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Apply to the program now or schedule a call with a program advisor

Unlock exclusive course sneak peek

Application closes: 16th Apr 2026

Application closes: 16th Apr 2026

Talk to our advisor for offers & course details

Application Process

Applications close once the required number of participants enroll. Apply early to secure your spot

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    Fill the application form

    Register by completing the online application form.

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    Application screening

    A panel from Great Learning will review your application to determine your fit for the program.

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    Join the program

    Receive an offer for a seat in the upcoming cohort of the program after a final review.

Delivered in Collaboration with:

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.

Got more questions? Talk to us

Connect with our advisors and get your queries resolved

Speak with our expert +17373177806 or email to agaiba.utaustin@mygreatlearning.com

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