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Post Graduate Program in AI Agents for Business Applications
Application closes 31st Mar 2026
Program 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 business challenges across functions
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Apply GenAI, large language models, and Retrieval-Augmented Generation to enhance business productivity
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Develop intelligent, context-aware single-agent systems to automate workflows and drive operational efficiency
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Solve business problems with planning and reasoning strategies, and scalable, secure multi-agent ecosystem
Earn a certificate of completion from Texas McCombs
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 from the McCombs School of Business at The University of Texas at Austin
Skills you will learn
AGENTIC AI
GENERATIVE AI
LARGE LANGUAGE MODELS
PROMPT ENGINEERING
RAG
AGENTIC RAG
MCP FRAMEWORK
MULTI-AGENT SYSTEMS
RESPONSIBLE AI
AGENTIC AI
GENERATIVE AI
LARGE LANGUAGE MODELS
PROMPT ENGINEERING
RAG
AGENTIC RAG
MCP FRAMEWORK
MULTI-AGENT SYSTEMS
RESPONSIBLE AI
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- Overview
- Learning Journey
- Learning Path
- Curriculum
- Projects
- Tools
- Certificate
- Faculty
- Mentors
- Fees
- FAQ
This Program Is Ideal for
Professionals across career stages seeking a flexible learning track to build Agentic AI systems.
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Knowledge professionals
Looking to develop practical, industry-ready skills in Agentic AI to automate and optimize workflows
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Business and tech experts
Seeking to expand their knowledge in designing intelligent agentic systems to enhance decision-making and operational efficiency
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Aspiring AI practitioners
Preparing to contribute effectively to projects involving Agentic AI for process automation and intelligence
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Technical leaders
Aiming to guide their teams in translating business workflows into Agentic AI workflows to drive innovation and transformation
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
Unique learning journey
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Weekly live sessions
Interactive classes for concept clarity, hands-on and Q&A with IIT Bombay faculty.
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Peer-to-Peer Learning
Learn with a cohort - discuss and share ideas in class and in discussion forums.
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Industry-Relevant Curriculum
Work on projects - apply concepts & tools to real use cases
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Get personalized assistance
Our dedicated programme managers will support you whenever you need
Comprehensive Curriculum
Designed by Texas McCombs faculty, this curriculum offers a hands-on foundation in AI Agents. It covers Python, GenAI, Large Language Models, and Retrieval-Augmented Generation. Participants learn to build intelligent AI agents using tools, memory, planning, and reasoning, progressing to secure, scalable multi-agent systems for business application
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Code or No-Code
Flexible learning tracks
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15+
Tools and techniques
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2.5 CEUs
Upon program completion
PRE-WORK
This preparatory module is designed to help learners navigate the AI landscape by identifying key problem areas and solution opportunities. It enables participants to understand how businesses can effectively leverage AI technologies while building a foundational understanding of the tools and frameworks required to develop Agentic AI solutions that support strategic business initiatives.
Introduction to AI Landscape
Hands-On Tool Introduction and Setup
MODULE 01: AGENTIC AI FOUNDATIONS
This module focuses on building a strong foundation in Generative AI and Large Language Models by differentiating them from discriminative approaches, understanding how LLMs work and their enterprise applications, practicing prompt engineering with techniques and templates to improve reliability and scalability, and exploring Retrieval-Augmented Generation (RAG) and its key components to overcome the limitations of prompting and develop context-aware, enterprise-ready AI solutions.
Introduction to Generative AI and Large Language Models
Prompt Engineering and Retrieval Augmented Generation
Project Week
MODULE 02: BUSINESS APPLICATIONS WITH AGENTIC AI
This module focuses on understanding and developing AI agents, equipping learners with both foundational insights and advanced techniques in Agentic AI implementation. It begins with an introduction to AI agents, where you explore the basic concepts and frameworks that define intelligent agents. The module then delves into how tools and memory can be incorporated into agents to enhance their functionality and efficiency in task execution. Finally, it covers planning and reasoning, teaching you how agents can be programmed to make informed decisions and solve complex problems autonomously.
Introduction to AI Agents
Incorporating Tools and Memory in Agents
Planning and Reasoning
Learning Break
Project Week
MODULE 03: ADVANCED AGENTIC AI SOLUTIONS
This module explores advanced concepts in Agentic AI, starting with multi-agent systems, where learners examine the interaction and coordination between multiple AI agents to solve complex problems collaboratively. Next, the focus shifts to testing and evaluating agentic systems, providing insights into methodologies for assessing the performance, reliability, and effectiveness of AI agents in various scenarios. Finally, the module covers the crucial topic of securing agentic AI solutions, highlighting the importance of implementing robust security measures to protect AI systems from vulnerabilities and ensure safe deployment in real-world applications.
Multi-Agent Systems
Testing and Evaluation of Agentic Systems
Securing Agentic AI Solutions
Project Week
SELF-PACED COURSE
Multimodal Agentic AI (Masterclass only)
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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3
Hands-on projects
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15+
Real-world case studies
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15+
High-growth skills
Learn In-Demand AI Tools and Techniques
Foundational and advanced tools for Agentic AI to solve complex business challenges
Earn a certificate of completion
Earn a globally recognized credential from a top U.S. university and showcase it to your network
* Image for illustration only. Certificate subject to change.
Meet Your Faculty
Learn from the top, world-renowned faculty at The University of Texas at Austin
Interact With Our Industry Mentors
Interact with dedicated mentors who are practitioners and experts in Agentic AI
Course Fees
The course fee is USD 2,950
Invest in your career
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Choose from two flexible tracks: a Python coding track or a no-code tools track with hands-on components
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Apply GenAI, large language models, and Retrieval-Augmented Generation to enhance business productivity
-
Develop intelligent, context-aware single-agent systems to automate workflows and drive operational efficiency
-
Solve business problems with planning and reasoning strategies, and scalable, secure multi-agent ecosystem
Admission Process
Admissions 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
Eligibility Criteria
- Designed for professionals at different stages of their careers.
- Ideal for those looking to advance their knowledge and skills in building Agentic AI systems.
Frequently asked questions
What are the highlights of the Post Graduate Program in AI Agents for Business Applications?
The Postgraduate Program in AI Agents for Business Applications is a 12-week online program designed for knowledge professionals and business and technology experts looking to develop an industry-ready skill set in Agentic AI.
Here are some of the program highlights:
- Program format: Delivered online through recorded lectures by Texas McCombs faculty and live masterclasses by industry experts by Texas McCombs faculty, interactive mentorship sessions, and recorded video lectures.
- Faculty and Mentors: Learn from world-renowned Texas McCombs faculty and global industry experts through recorded lectures and weekly live mentorship sessions.
- Industry-Aligned Curriculum: Covers foundational Python Programming, AI Agents, Generative AI, Prompt Engineering, RAG, Multi-Agent Systems, and secure, scalable AI solutions.
- Hands-on Learning: Apply knowledge to build intelligent AI systems through real-world projects and case studies.
- Peer Interaction: Gain peer networking opportunities with a global cohort of participants.
- Learning Support: Receive personalized assistance from a dedicated Program Manager and academic support through the Great Learning Community, Project Discussion Forums, and Peer Groups.
- Success Coach: Each participant will be assigned a Program Manager or Success Coach who will ensure the learning journey is in line with their career goals.
Create a Compelling e-Portfolio: Build a portfolio to showcase your proficiency in AI tools and skills.
- Earn Recognized Credentials: Upon completion, earn a globally recognized Certificate of Completion from the McCombs School of Business at The University of Texas at Austin.
What are the learning outcomes of the online AI Agents course from the McCombs School of Business at The University of Texas at Austin?
By the end of this program, you will be able to:
- Navigate the AI landscape and understand foundational concepts to address common business challenges across marketing, sales, and operations.
- Apply Generative AI, Large Language Models, and Retrieval-Augmented Generation to enhance business productivity.
- Develop intelligent, context-aware single-agent systems by integrating tools and memory to automate workflows and improve operational efficiency.
- Implement planning and reasoning strategies that enable autonomous agents to decompose tasks, adapt to dynamic scenarios, and solve complex business problems with AI-powered intelligent processes.
How will my performance be evaluated in this program?
Your performance in the Postgraduate Program in AI Agents for Business Applications will be evaluated through regular assessments, including projects and quizzes. These evaluations are designed to assess your understanding and application of key concepts, ensuring that you gain practical, hands-on experience in building AI systems.
What is the duration of this AI Agents course?
The duration of the Postgraduate Program in AI Agents for Business Applications is 12 weeks.
What is the required weekly time commitment?
The required weekly time commitment for the AI Agents for Business Applications program is 8 to 10 hours per week. This includes:
- Structured learning modules with recorded video content
- 8+ live interactive sessions (2 hours each) with industry practitioners.
What career opportunities will I get after completing this AI Agents program?
Completing this PGP in AI Agents for Business Applications equips you with the skills to pursue roles where you can develop and manage intelligent AI systems across various industries. Depending on your background and experience, you may explore opportunities such as
- AI Engineer
- AI Consultant
- AI Product Manager
- Machine Learning Engineer
- Agentic AI Developer/Engineer
- Robotics and Autonomous Systems Engineer
- AI Ethics and Governance Specialist
What role does Great Learning play in this AI Agents course?
Great Learning plays a pivotal role in the Postgraduate Program in AI Agents for Business Applications by providing comprehensive support and services to enhance your learning experience. These include:
- Personalized Mentorship: Receive guidance from industry experts and mentors throughout the course.
- E-Portfolio for Projects: Build a professional portfolio to showcase your skills to potential employers.
- Learning support: Each participant will be assigned a Program Manager who will ensure the learning journey is in line with the participant's career goals.
Is it an AI Agents course with a certificate?
Yes, upon successful completion of the Postgraduate Program in AI Agents for Business Applications, you will receive a Certificate of Completion from The McCombs School of Business at The University of Texas at Austin, recognizing your expertise in Agentic AI and its business applications.
Who are the industry mentors providing guidance throughout the program?
The industry mentors for the Postgraduate Program in AI Agents for Business Applications include experienced professionals from leading companies, offering real-world insights and guidance throughout the program.
These mentors come from diverse backgrounds, ensuring that you gain practical knowledge and expertise from various sectors.
Below are the details of the mentors:
Who are the faculty members teaching this AI Agents course?
The Postgraduate Program in AI Agents for Business Applications is taught by world-class faculty with years of collective experience in academia and industry. These faculty members bring a blend of theoretical knowledge and practical insights, ensuring a comprehensive learning experience.
Dr. Kumar Muthuraman
Faculty Director, Center for Analytics and Transformative Technologies, McCombs School of Business, UT Austin.
Dr. Daniel A. Mitchell
Clinical Assistant Professor, Department of Information, Risk & Operations Management, McCombs School of Business, UT Austin.
What projects are included in the AI Agents certificate program?
Here are sample projects that the Postgraduate Program in AI Agents for Business Applications includes:
Which languages and tools will I learn in this AI Agents course online?
In the Postgraduate Program in AI Agents for Business Applications, you will learn to work with 20+ in-demand tools, including:
- Python
- LangChain
- LangGraph
- MCP Framework
- LangSmith
- LangChain ReAct
- OpenAI APIs
- ChatGPT
- Hugging Face
- ChromaDB
- Google Colab
- Streamlit
- Transformers
- Pandas
- FAISS
- Llama Cpp
- Gemini
- External APIs
These tools are essential for building and deploying advanced AI agents, offering you practical experience with widely used technologies in the field.
What is the curriculum of this AI Agents course?
The Postgraduate Program in AI Agents for Business Applications covers the following key modules:
- Pre-Work: Introduction to AI and Python fundamentals
- Module 1: Foundations of Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG).
- Module 2: Developing AI agents, incorporating tools and memory, and applying planning and reasoning strategies.
- Module 3: Multi-agent systems, testing, evaluation, and securing agentic AI solutions.
The program includes hands-on projects and case studies, ensuring practical learning in AI agent development and deployment.
What is the ranking of the University of Texas at Austin (UT Austin)?
UT Austin is recognized as a top-tier institution. According to the QS World University Rankings 2026, it lands at #1 in Texas, #20 in the U.S., and #68 globally.
According to U.S. News & World Report’s Best Colleges 2026, the university ranks #30 nationally and #7 among public universities
Will I receive alumni status?
No, learners who complete the PGP in AI Agents for Business Applications from the McCombs School of Business at The University of Texas at Austin do not receive alumni status.
Can I pursue this course while working full-time?
Yes, you can pursue this AI Agents for Business Applications program while working full-time. The program is designed for working professionals, with a weekly time commitment of 8 to 10 hours. It includes structured learning modules, recorded video content, and live sessions on weekends, allowing you to manage your learning alongside your professional responsibilities. The flexible format ensures you can balance both work and study effectively.
Who is the AI Agents program ideal for?
This AI Agents program is ideal for:
- Knowledge professionals looking to develop practical, industry-ready skills in Agentic AI to automate and optimize workflows.
- Business and technology experts seeking to expand their knowledge in designing intelligent agentic systems to enhance decision-making and operational efficiency.
- Aspiring AI practitioners preparing to contribute effectively to projects involving Agentic AI for process automation and intelligence.
- Technical leaders aiming to guide their teams in translating business workflows into Agentic AI workflows to drive innovation and transformation.
What is the admission process for this program?
The admission process is conducted on a rolling basis and will close once the requisite number of candidates has been enrolled.
APPLY
Fill out an online application form
REVIEW
Eligible applications will be reviewed by a panel from Great Learning
JOIN THE PROGRAM
An offer letter will be sent to the selected candidates
What is the AI Agents course fee?
The total program fee is USD 2900. Please contact the Program Advisor from Great Learning for more information on offers, payment plans, and eligibility for financial assistance.
What is an AI Agent?
An AI agent is an autonomous system that can perceive its environment, make decisions, and take actions to achieve specific goals. It uses AI technologies like machine learning and reasoning to perform tasks with minimal human intervention.
What is the difference between an Agentic AI course and an AI Agents course?
The difference between an Agentic AI course and an AI Agents course lies in their focus areas:
- Agentic AI Course: Focuses on building AI systems that autonomously make decisions, reason, and operate independently, with an emphasis on the theory and design of such systems.
- AI Agents Course: Concentrates on the practical aspects of designing, developing, and deploying AI agents that perform specific tasks autonomously, using various tools and frameworks.
In short, Agentic AI is more about the theory of autonomous decision-making, while AI Agents focuses on creating and applying these agents in real-world scenarios.