Build the capability to lead the org for AI transformation from Texas McCombs

Post Graduate Program in Artificial Intelligence for Leaders

Application closes on 18th Jun 2026

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Top rated AI course for leaders

Application closes 18th Jun 2026

Why Should You Join This Program?

No-Code AI Leadership Program for Decision-Makers

Learn from Texas McCombs faculty and industry experts through recorded lectures and live mentorship sessions, and work on hands on projects and case studies using no-code tools.
Texas McCombs is a top-ranked US University

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

What Will You Learn to Build and Apply?

Through a structured no-code learning journey, you will build the capability to:

Identify and prioritize high-impact GenAI and Agentic AI opportunities across your organization
Evaluate AI investments, use cases, and risks to guide adoption and business decisions
Apply GenAI and Agentic AI to improve productivity, decision-making, and efficiency
Develop AI roadmaps and business cases that support strategic business objectives
Lead collaboration between business and technical teams to deliver AI-driven solutions
Implement AI responsibly through governance, risk management, and ethical AI practices

Earn a certificate of completion and CEUs from Texas McCombs, a top-ranked U.S. University

#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

Why Choose This Program?

Learn from Texas McCombs Faculty

Access a curriculum designed and taught through recorded lectures by Texas McCombs faculty, combining academic rigor with practical business applications of AI
No-Code Learning Approach

Build practical AI capability using no-code AI and analytics tools without requiring a programming background
Attend Weekly Live Mentorship Sessions with Industry Experts

Learn from AI practitioners through interactive mentorship sessions featuring real-world use cases, implementation frameworks, and industry insights
Get Personalized Learning Support

Receive guidance from a dedicated Program Manager, academic support, discussion forums, peer groups, and the Great Learning community
Apply AI to Real Business Challenges

Build practical experience through 4 projects and a capstone that helps you connect AI capabilities to business outcomes and strategic priorities
Earn a Recognized Credential from Texas McCombs

Earn a Certificate of Completion and 4.5 Continuing Education Units from the McCombs School of Business at The University of Texas at Austin upon program completion

Skills you will learn

Agentic AI

Generative AI

AI Strategy Development

AI Project Estimation

POC Development

Machine Learning

Deep Learning

Build vs. Buy Decision-Making

Prompt Engineering

Strategic LMOps and LLMOps

Building and Scaling AI Teams

AI ROI Assessment

AI Ethics and Governance

AI-Driven Decision Making

Agentic AI

Generative AI

AI Strategy Development

AI Project Estimation

POC Development

Machine Learning

Deep Learning

Build vs. Buy Decision-Making

Prompt Engineering

Strategic LMOps and LLMOps

Building and Scaling AI Teams

AI ROI Assessment

AI Ethics and Governance

AI-Driven Decision Making

Who Is the Program For?

Senior leaders and decision-makers looking to drive AI adoption, innovation, and business transformation

View Batch Profile

Business Leaders and Executives

Drive AI-led growth, innovation, and transformation by identifying high-impact opportunities and making informed AI adoption decisions
Functional Leaders and Experts

Apply GenAI and Agentic AI within their functions to improve decision-making, increase efficiency, and accelerate business outcomes
Technology Leaders

Strengthen your understanding of AI, GenAI, and Agentic AI to guide enterprise-wide initiatives and align technology investments with business goals
Consultants and Strategic Advisors

Develop the strategic judgment to assess AI use cases, advise stakeholders, and help organizations translate AI investments into business outcomes

How's the Learning Experience of the Program?

Build strategic judgement and human intuition with our unique structured learning approach

Learn from Experts

Learn from Texas McCombs faculty and industry experts to master AI strategy and implementation
Learn By Doing

Work on business problems using no-code tools & build an e-portfolio of AI projects
Earn a University Credential

Earn a certificate of completion and 5 Continuing Education Units (CEUs) from Texas McCombs
Get Support Throughout the Learning Journey

Program managers will help you stay on track, navigate key milestones & complete the program

What Will You Learn in the Program?

Our curriculum has been carefully-crafted to provide you with the breadth and depth you need to make smarter business decisions, lead AI teams, and devise an AI strategy for your organization. Accordingly, it covers the most business-relevant technologies and diverse industry applications to turn you into an AI-empowered leader.

Pre-Work

- Introduction to the World of Data and AI - Transforming Industries Through Artificial Intelligence and Data Science - Navigating the Data Science Lifecycle

Course 1 | The Business of AI

Business of AI

- Introduction to Artificial Intelligence - Explosion in Artificial Intelligence - Business Applications and Limitations - Building AI Project, ROI Calculation

Building POC for AI Project

- Company - Vision, Mission and Objective - Solution at a Glance, Market Potential - Barriers to Entry - Threats and Opportunities - Competitors Analysis - Target Customers - Requirement of Data and People - Product Development Roadmap - Expansion Plan, Business Plan - AI Techniques and their Implementation - Domains and their Adoptions - Identify AI Use Cases

Course 2 | Data Modeling

Data Visualization

- What is Data and its Types - Use of Data - Different Types of Data Objects - Understanding Visual Metrics

Supervised Learning Regression

- Introduction to Machine Learning - Introduction to Regression - Multivariate Linear Regression - Categorical Independent Variables in Regression - Evaluation Metrics

Course 3 | Machine Learning and Deep Learning

Classification with Ensemble Techniques

- Introduction to Classification - Decision Trees - Classification Model Evaluation Techniques - Pruning - Ensemble Techniques: Random Forests

Neural Networks

- Introduction to Neural Networks - Activation Functions - Feed Forward Neural Network - Topology of a Neural Network - Error and Loss Function - Training a Neural Network - Optimization - Gradient Descent and Backpropagation - Learning Rate and Momentum

Course 4 | Discovering Patterns in Data

Clustering

- Introduction to Clustering - K-means Clustering - Importance of Scaling - Applications of Clustering - Advantages and Disadvantages of K-means Clustering - Visual Analysis of Clustering - Dynamic Clustering - Principal Component Analysis - Dimensionality Reduction

Recommendation System

- Introduction to Recommendation System - Content-based Filtering - Collaborative Filtering - Similarity Measures - The Case of Recommending Songs - Hybrid Systems and other methods

Course 5 | Generative AI and Agentic AI

Foundations of Generative AI

- Introduction to Generative AI - Supervised and Unsupervised Learning - Discriminative vs Generative AI - History of GenAI - Introduction to LLMs - How does the Model Understand the Text - How does the Model Predict the Next Word - Why do Language Models Hallucinate Business Problems Solved by GenAI

Agentic AI Leadership

- Discussion on Large Language Models - Introduction to AI Agents - Exploring AI Agent Architectures - Enhancing AI Agents with Memory - Introduction to Model Context Protocol (MCP) Servers - Hands-on Building of AI Agents Using n8n

Course 6 | Building AI-First Organization

Implementing Generative AI in Your Organization

- Generative AI for Business Value - A Decision Calculus to Prioritize GenAI Use Cases - Generative AI Application Architecture - Model Selection, Customization, and Fine-Tuning - Data and Infrastructure Requirements - Total Cost of Ownership - Integration with Existing Systems - Constraints and Challenges Driving Development and Adoption - GenAI Implementation Roadmap

Building AI Teams

- Tasks Involved in AI Projects - Key Roles and Responsibilities in AI Teams - Leadership Roles in AI Teams - AI Team Dynamics - Recruiting Talent: Talent Supply Chain - Upskilling AI Teams - Scrum and Agile Project Management - Performance Management of AI Teams - Change Management for AI Teams - Fostering Collaboration in AI Teams

Course 7 | Capstone

You will gain hands-on experience working on a real-time project under the guidance of industry experts, learning to apply AI to solve real business problems. As an AI-powered business leader, you will study the market for opportunities and pitch a business plan for an AI-based product. This includes preparing a market study (market size, competition, and consumer insights), a product requirement document (data and people), a roadmap for implementation, financial projections, business impact, and other key elements.

Self-Paced Module | Claude-Based AI Workflows

*Disclaimer: Claude API access is not included as part of the program. Learners may explore advanced usage independently.

Self-Paced Module | Prompt Engineering and RAG

- Introduction to Prompt Engineering - Zero-Shot and Few-Shot Prompting - Chain-of-Thought Prompting - Comparing Prompting Techniques - A Checklist and Workflow for Prompting - Limitations of LLMs - What Is RAG (Retrieval-Augmented Generation), Prompt Engineering for RAG, and Hands-on Use Cases

Self-Paced Module | Computer Vision

- Introduction to Computer Vision - Types of Computer Vision problems - Pixel - How does a computer see an image - 3D Images, Resolution, ImageTransformations - Convolution - Pooling - Significance of Convolution and Pooling - Convolutional Neural Networks - Case studies

Self-Paced Module | AI in Practice

- Applications of Transfer Learning - Dealing with Imbalanced Data: Data Augmentation - Model Deployment - Modes of Training - Serialization of Models - Model Monitoring and Recalibration

Self-Paced Module | Logistic Regression

- Introduction to Logistic Regression - The Logit Function - Finding the Best-Fit Curve - Setting Up Threshold

Self-Paced Module | Introduction to ChatGPT

- Applications of ChatGPT - Introduction to Pre-Trained Models - Introduction to Transformers - Limitations and Beyond ChatGPT - Generative AI Demos

What Case Studies & Projects Will You Solve?

Work on real-world case studies across industries & functions using no-code AI tools & technologies

20+

case studies
1 team

Capstone project
4+1

real-world projects

Any Industry based on your choice

Building POC for AI Project

Description

The project involves ideating an AI product and building its POC, including the problem statement, proposed solution, validation metrics, market analysis, and timelines for implementing the project.

Skills you will learn

Market Analysis
Building Roadmap
AI Project Estimation

Finance

ShowTime

Description

The project involves building classification and regression models to redefine the loan approval and loan pricing strategy to minimize loss due to loan default for an auto finance company.

Skills you will learn

Data Visualization
Exploratory Data Analysis
Linear Regression

Sales Lead Conversion Prediction

Neural Networks and Ensemble Techniques

Description

Build a classification model to predict the conversion of sales leads enabling the company to optimize resource allocation.

Skills you will learn

Decision Trees
Random Forest
Model Evaluation
Classification

Discovering Patterns in Data

Customer Segmentation

Description

Identify the various segments of customers to expand its credit card customer base by targeting new customers and upselling to existing customers.

Skills you will learn

K-Means Clustering
Exploratory Data Analysis
Data Preprocessing
Cluster Profiling

Retail

GenAI-powered Review Categorization

Description

The project involves analyzing the customer review and using the prompt engineering technique in conjunction with the Generative AI model to categorize the articles, predict the sentiment, and generate a first response to the customer based on the sentiment of the review. This data-driven approach empowers businesses to enhance customer experiences, drive growth, and cultivate enduring relationships with their clientele in today's fast-paced business environment.

Skills you will learn

Prompt Engineering
Large Langauge Models
Natural Language Processing
Classification

Which No-Code AI tools will you work on?

Learn no-code tools like Knime, n8n, ChatGPT, Gemini & more to design workflows and solve business problems

KNIME
n8n
ChatGPT
Gemini
NotebookLM
Claude

Earn a Certificate of Completion From Texas McCombs

Stand out in a competitive market with a verified certificate for Artificial Intelligence for Leaders and 5 Continuing Education Units (CEU’s) that validates your expertise through rigorous, practical assessments

* Image for illustration only. Certificate subject to change.

Who Are the Faculty for the Program?

Learn from renowned Texas McCombs faculty and build technical intuition to make credible, strategic decisions

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.

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Dr. Abhinanda Sarkar

Senior Faculty & Director Academics, Great Learning

30+ years of experience in data science, ML, and analytics.

Ph.D. from Stanford, taught at MIT, ISI, and IIM Bangalore.

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Dr. Pavankumar Gurazada

Senior Faculty, Academics, Great Learning

15+ years of experience in marketing, digital marketing, and machine learning.

Ph.D. from IIM Lucknow; MBA from IIM Bangalore; IIT Bombay graduate.

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Who Are the Mentors for Weekly Live Sessions?

Learn from seasoned industry mentors in weekly live sessions to apply concepts and build practical skills

Georg Huettenegger

Generative and Conversational AI Leader, Deloitte Consulting
Dr. Sunil Kumar Vuppala

AI Partner, ArisGlobal
Randhir Agarwal

Director, Data Science & Data Engineering, Samsung Electronics
Balachandra Deshpande

Head of Data Science, Enterprise Minds, Inc
G Anthony Reina

Head of Machine Learning, Stealth BioTech Startup
Jeremy Samuelson

Executive VP, AI and Innovation, Integrated Quantum Technologies

What are the Reviews for the Program?

Learners share their feedback on the faculty, mentors, hands-on projects, and overall learning experience

AI Upskilling for Experienced Engineers: Real-World Learning with Projects and Tools

I am Stefan Badu from Timisoara, Romania. I work as a Software Expert in the automotive domain at HUF Romania. I have just completed the AI for Leaders program. I am an engineer, and throughout my journey, I have built a strong educational foundation. I did my Bachelor’s Degree in Automation and Computer Science from the Technical University of Cluj-Napoca. I also did a Master’s Degree in Modern Production Management from the West University of Timisoara. I am glad that now I can add the Post Graduate Program in Artificial Intelligence for Leaders from the McCombs School of Business at The University of Texas to my academic background. I also have 20+ years of professional experience across several companies, where I have held roles such as Software Developer, Business Process Analyst, Business System Analyst, Project Manager, and Team Leader. As someone who is always learning new skills, AI has become a “must-have” in today’s world. The learning experience was fast-paced, with a lot of content and many new concepts for me. At times, I felt overwhelmed, but I truly enjoyed the journey. Online, self-paced courses with a mix of theory and projects are, in my opinion, the future of education. The graded quizzes helped create structure, setting deadlines, encouraging recap, prioritization, and steady progress. After almost half a year, I feel like I’ve only scratched the surface of AI. This experience opened a door for me, or better said, it opened my “third eye”: the AI eye. The program helped me gain a strong understanding of the core concepts behind AI. My experience with KNIME was especially valuable. Seeing concepts in action made a big difference for me. I have started using generative AI tools in my day-to-day work. I use them to improve the quality of my tasks and to explore different perspectives. I understand this is part of the learning curve, and it takes time. I am confident that all this effort will have a meaningful impact on whatever I choose to do next.

Read More

Stefan Badu

Huf Romania S.R.L. , Timișoara

10th Mar 2026
"Excellent learning experience with well-curated content and engaging mentored sessions in AI."

I am Vijay Kumar, North American Delivery Head for Synthesis Systems. I recently completed the Post Graduate Program in Artificial Intelligence for Leaders. My motivation was to upskill as a leader on AI and ML before building the competency in my team and organization, with FY26 as the year to launch an AI practice. I had an excellent learning experience with well-curated content, interesting industry connect sessions, and engaging mentored learning sessions. My key takeaways were AI Business Plan Modeling, Estimation, Phases of AI product launch, Product Roadmap Strategy, Machine Learning algorithms, and the power of LLMs. This has made my conversations with customer leadership very effective on AI-related solutions and helped me represent my company better as an AI solution provider.

Read More

Vijay Raghavan Kumar

, Synthesis Systems Inc

8th Mar 2026
Applying AI in Banking: My Journey as a Branch Manager Learning AI for Leaders

My name is Rume Oghene from Delta State, Nigeria. I work as a Branch Manager at Union Bank of Nigeria PLC. I have just completed the Post Graduate Program in Artificial Intelligence for Leaders from the McCombs School of Business at The University of Texas. I hold a BSc in Accountancy and an MSc in Business Administration. I enrolled in this program to deploy new skills to become more effective in my current role as a Branch Manager. My learning experience was truly educational. I learned practical techniques in Artificial Intelligence as applied to businesses and gained a deeper understanding of the field. My two main learning takeaways were Generative AI skills and Data modeling skills The program has helped me become a manager with stronger technical and digital skills.

Read More

Rume Oghene

Branch Manager , UNION BANK OF NIGERIA PLC

5th Mar 2026
"This learning experience broadened my perspective and reinforced the value of continuous learning."

I am Amrita Karmakar, working in HR Analytics and Workforce Planning in Austin, Texas. I recently completed the Post Graduate Program in Artificial Intelligence for Leaders. AI provides the opportunity to explore interdisciplinary work, and I believe upskilling helps with career growth. This learning experience has broadened my perspective, strengthened my approach, and reinforced the value of continuous learning. I learned how AI powers many modern tools, from virtual assistance and personalized recommendations to fraud detection, medical image analysis, self-driving cars, and content creation. Many of the concepts I learned became more meaningful because of the real-world challenges we often discuss in the workplace.

Read More

Amrita Karmakar

, -

3rd Mar 2026
"Program structured with assignments, discussions, and projects to upgrade skills confidently."

I work as a Senior Engineering Manager and recently completed the Post Graduate Program in Artificial Intelligence for Leaders. I was confident that this program would help upgrade my skills. The program was very well structured with assignments, discussions, online classes, and projects. The Program Managers were supportive and guided me when I had questions and challenges. I gained insights about AI and how it can be applied in business decisions. I am confident that this program will help me grow in my career.

Read More

Ashwin Malli Sivasankar

- , Plano

3rd Mar 2026
"The Post Graduate Program in AI was exceptionally well-structured for working professionals."

I am a Director of Software Engineering at Fidelity Investments with over 20 years of enterprise architecture experience. My core motivation was to bridge the gap between my deep technical background and the emerging AI-driven paradigm in enterprise software. I wanted to lead AI adoption at Fidelity with both credibility and strategic vision. The Post Graduate Program in Artificial Intelligence for Leaders was exceptionally well-structured for working professionals. The balance between foundational AI and ML concepts and leadership-focused application made it uniquely valuable. The capstone project pushed me to apply concepts end-to-end in a complex domain. This program significantly elevated my ability to lead AI initiatives with confidence and authority, and has broadened my identity from a Java architect to a technology leader capable of shaping AI strategy.

Read More

Rajmohan Parayil

Fidelity Investments , Dallas

2nd Mar 2026
Strengthening Leadership with Strategic AI Understanding

I work as a Team Lead, hold an M.Tech in Electrical Engineering, and have more than 25 years of experience in the IT industry, working with leading banking and financial organizations. Before joining this program, I completed the Advanced Certification in Machine Learning and Cloud from IIT Madras and the Post Graduate Program in Data Science with Generative AI from the McCombs School of Business at the University of Texas at Austin. My motivation for joining the Post Graduate Program in Artificial Intelligence for Leaders from the McCombs School of Business at the University of Texas at Austin was to stay relevant in a rapidly evolving technology landscape and deepen my understanding of the broader AI ecosystem from a leadership perspective. I wanted to go beyond surface-level awareness and develop a structured understanding of how Artificial Intelligence can be strategically leveraged to drive innovation, operational efficiency, and measurable business value. The program offered a strong blend of foundational AI concepts, real-world business applications, and leadership perspectives. I particularly appreciated the practical case studies, industry examples, and interactive sessions that made complex topics easier to understand and connect with business decision-making. The discussions around Responsible AI, governance, and implementation challenges broadened my perspective on how organizations should adopt emerging technologies thoughtfully. Overall, the program strengthened my confidence in evaluating AI opportunities, collaborating effectively with technical teams, and making informed strategic decisions in an AI-driven environment. As I complete the program, I look forward to highlighting this learning in my professional profile and network, and I am confident that it will have a lasting positive impact on my career.

Read More

Dipankar Mishra

,

12th Feb 2026
Mentorship with real-world focus and excellent graphics makes the presentations outstanding.

I genuinely appreciate the mentorship provided in the program. The presentations were great and focused on real-world problems while covering them in depth too. The icing on the cake was the excellent use of graphics to clarify the concepts.

Read More

Ken Mugo

Regional Information Technology Manager - Africa , The Nature Conservancy

29th May 2024
One of the best online programs for aspiring AI leaders.

This was one of the best online programs I enrolled in. My Program Manager made sure that I had a fulfilling learning experience. My journey with Great Learning was the best! I would highly recommend this program to anyone wanting to become an AI leader.

Read More

Salim Azzabi Zouraq

Capacity Building & Collaboration Officer To Accelerate WHO's Triple Billion Targets , World Health Organization

10th Jul 2022
Artificial Intelligence for Leaders was one of the best programs in my professional career.

Artificial Intelligence for Leaders was one of the best programs I took in the last decade of my professional career. The program offered a lot of content if one was willing to explore all the resources included. I enjoyed the Cohorts and Industry sessions. The program pace was intense, as expected, and required rigorous study to develop a good understanding of current trends in the Artificial Intelligence and Machine Learning domain. Anyone interested in Artificial Intelligence and Machine Learning should have started here. The support system was beneficial and prompt. I would love to take another program with Great Learning in the future.

Read More

Monal B Shah

RPA/IPA Lead - Automation Center Of Excellence , Abbvie

21st May 2022

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Our learners experience

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"A comprehensive program that builds strong foundations, real-world expertise, and client-focused solutions"

This program offers exceptional AI content, expert mentorship, and practical skills, helping me master AI foundations, implement solutions, and deliver greater value to my clients.

Tauhid Abddul Jalil

Principal Solutions Consultant , Laiye
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"Expert-led mentorship, specialized sessions, and real-world projects make this program perfect for AI leaders"

This program, designed for leaders, offers expert-led mentorship, hands-on projects, and in-depth AI learning, helping me explore diverse AI applications and advance my career.

Usha Boddapu

CEO/Founder , Esolvit Inc.
Watch story

"This course delivered real-world AI knowledge, expert support, and the flexibility to balance work and study"

This comprehensive AI program, with expert mentorship and hands-on learning, provided real-world knowledge and flexibility to balance work, enhancing my career and AI application skills.

Gregory Thompson

Vice President Supply Chain , Carnival Cruise Line

Course Fees

The course fee is USD 3,100

Invest in your career

4 Months Online Comprehensive Journey: Build job-ready Data Analytics & AI skills
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 and 5 CEUs to validate your AI expertise

Take the next step

00 : 00 : 00

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

Unlock exclusive course sneak peek

Application Closes: 18th Jun 2026

Talk to our advisor for offers & course details

Admission Process

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

1. Fill application form

Apply by filling a simple online application form.
2. Interview Process

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

After a final review, you will receive an offer for a seat in the upcoming cohort of the program.

Course Eligibility

Applicants should have a Bachelor's degree with a minimum of 50% aggregate marks or equivalent

Limited seats available

Apply today and become an AI enabled leader

Batch Start Date

Online · To be announced

Admissions Open

Apply Now

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Frequently Asked Questions

Program Details

Admissions & Eligibility

Fee & Payment

Others

Program Details

What is the Post Graduate Program in AI for Leaders?

The Post Graduate Program in Artificial Intelligence for Leaders is an online certificate program offered by the McCombs School of Business at the University of Texas at Austin, in collaboration with Great Learning. This program is designed specifically for business leaders and professionals who want to focus on leveraging artificial intelligence for leadership roles. In this 4-month program, learners will engage with a comprehensive curriculum featuring hands-on projects, live mentorship sessions, and real-world case studies. Upon successful completion, learners earn a certificate from The McCombs School of Business and are awarded 5.0 Continuing Education Units (CEUs).

What is the duration of the PGP in Artificial Intelligence for Business Leaders program?

The duration of this AI for Leaders program is 4 months.

Will I receive alumni status from The McCombs School of Business upon completing this program?

No, completing the Post Graduate Program in Artificial Intelligence for Leaders does not grant alumni status from the McCombs School of Business at The University of Texas at Austin.

What is the required weekly time commitment?

The program requires a weekly commitment of about 8–10 hours.

2-3 hours of recorded lectures
2-hour live virtual class or industry mentor session on weekends, including hands-on practical applications and problem-solving
1 hour every week for practicing assessments and exercises.
2 to 4 hours weekly to self-study and practice, depending on your background

Will I receive a transcript or grade sheet after program completion?

No, as it is not a degree or full-time program, transcripts or grade sheets are not issued by the university. The PGP-AIFL is an online professional certificate program offered by the McCombs School of Business at the University of Texas at Austin. However, you will receive marks for each assessment and for each module to determine your eligibility for the certificate. Upon successful completion of the program, you will be awarded a Certificate of Completion by The University of Texas at Austin.

What are some of the key case studies covered in the PG Program in AI for Leaders?

The program covers key case studies from industries like financial services, healthcare, retail, and e-commerce. Led by AI practitioners, these case studies explore real-world applications of AI. Learners gain practical insights into how AI is implemented to solve challenges across various sectors.

How will I be evaluated during the program?

You will be evaluated through assessments, quizzes, attendance, and projects during the program. All these methods allow tracking your progress towards achieving desired learning outcomes.

Will the content be available after the program is completed?

Yes, all learning materials, including lecture notes, online content, and supporting resources, will be available on the online platform for 1 year following the completion of the program.

What are mentored learning sessions?

Mentored learning sessions connect you directly with industry experts and practitioners in AI, Machine Learning, and Deep Learning through live virtual sessions. You will participate in small-group, weekend sessions to explore the practical application of concepts while obtaining industry context and solving challenging topics.

What is the role of the University of Texas at Austin in the PG Program Artificial Intelligence for Leaders?

The curriculum of the PG Program in AI for Leaders (PGP-AIFL) has been designed by award-winning faculty members of theMcCombs School of Business at the University of Texas at Austin.

It is further enhanced by leading AI practitioners who shaped it to include real-world content, hands-on projects, and assessments.

All participants who successfully complete the program get a certificate from the University of Texas at Austin.

Are there any real-world projects covered in the AI and ML for Business Leaders course?

Yes, you will work on case studies and a capstone project that simulates real-world business challenges. Designed to bridge the skill gap in AI and ML for business leaders the program ensures you are ready to apply your skills in organizational contexts.

4 Real-world projects
20+ Case studies to master practical foundations
1 Team-based capstone project to conceptualize an AI solution for a stated business need.

Do I need any coding experience for this AI for Business Leaders course?

No, you don't need any coding experience for this program. This makes this program accessible to professionals from non-technical backgrounds too.

Will I get a certificate after completing the PG Program in AI for Leaders from The University of Texas at Austin?

Upon successful completion of the program, learners will receive a Certificate of Completion from the McCombs School of Business at The University of Texas at Austin.

What topics are covered in the PG Program in AI for Leaders?

The program curriculum includes the following topics : Data Modeling Machine Learning and Deep Learning Generative AI for Leaders Data Visualization Regression Classification Neural Networks & Ensemble Techniques Clustering and Dimensionality Reduction Building AI teams and driving Data culture Recommendation Systems Natural Language Processing (NLP) Computer Vision For a detailed curriculum, please visit the program curriculum page.

How can I prepare for the AI for Managers and Leaders Course?

We understand that senior executives have tight schedules, so this online, flexible program—focused on AI for managers and leaders, makes it easier for you to manage your schedule and set aside time regularly to upskill. Also, while prior knowledge of mathematics, statistics, probability, machine learning, and AI can be helpful, it’s not mandatory.

What are the key highlights of the AI for Business Leaders program?

This 4-month intensive online AI program is designed to equip leaders with the skills to apply AI in real-world business strategy.

The key highlights of the program are:

World-class credentials : Earn a globally recognized certificate of completion from the University of Texas at Austin.

Flexible online format and live sessions: Learn online with video lectures, webinars and quizzes + live virtual sessions from experienced mentors to deepen your understanding.

A comprehensive curriculum: Learn with a business-focused AI curriculum that improves decision making and equips you to lead cross-functional teams. It includes modules on Generative AI, with dedicated training on prompt engineering and natural language processing to be on par with the latest developments.

No-code approach: Leverage no-code tools to make better predictions and improve decision-making.

Hands-on learning experience: Gain practical experience through case studies, industry applications, capstone project, and hands-on exercises.

Personalized program support: Get guidance from a dedicated Program Manager for academic and non-academic queries throughout the duration of the program.

Dedicated career support: Get expert guidance to prepare for job roles with mock interviews, resume building, and e-portfolio review.

Admissions & Eligibility

What are the admission requirements for the PG Program in Artificial Intelligence for Leaders? How can I apply?

To apply for the PG Program in Artificial Intelligence for Leaders, please take a look at our Admission Process. The admissions are conducted on a rolling basis, and the admission process is closed once the requisite number of candidates have been enrolled in the program. To apply, follow these steps: Step 1: Fill out an application form. Step 2: The Admissions Committee and faculty panel will review the application. Step 3: If you get shortlisted, you will receive an intimation.

What are the eligibility criteria for the AI for Leaders course?

This program is ideal for business leaders looking to leverage AI to create products and services, and boost organizational growth. You can join the program even if you do not have any programming experience.

Fee & Payment

What are the payment options for the Post Graduate Program in Artificial Intelligence for Leaders from the McCombs School of Business?

Candidates can pay the program fee through bank transfer or credit/debit cards. Additionally, installment plans are also available. For further details, please get in touch with us at aifl.utaustin@mygreatlearning.com

What is the refund policy?

Please note that admission fee payment will automatically enroll the student into the program. The following cancellation and refund policies apply:

1) A full refund will be issued only if the cancellation request is made within 48 hours of enrollment.

2) Admission fee – The admission fee is non-refundable if cancellation is requested after 48 hours of enrollment.

3) For fees paid in addition to the admission fee:

Refund or dropout requests made more than 4 weeks before the commencement date are eligible for a full refund of the amount paid in addition to the admission fee.

Refund or dropout requests made more than 2 weeks before the commencement date are eligible for a 75% refund of the amount paid in addition to the admission fee.

Refund or dropout requests made more than 24 hours before the commencement date are eligible for a 50% refund of the amount paid in addition to the admission fee.

4) Requests received after the commencement date are not eligible for a refund.

5) Cancellation requests must be submitted in writing to the program office.

Others

What are the key functions of AI in leadership?

Artificial Intelligence plays a transformative role in leadership by enabling more informed, strategic, and data-driven decision-making. Here are some of the key functions AI serves for leaders:

Strategic Decision-Making: AI helps leaders analyze complex data sets to identify patterns, trends, and insights that support more accurate and timely business decisions.

Product and Service Innovation: AI technologies help leaders drive the development of innovative products or services that are tailored to customer needs.

Operational Efficiency: AI automates routine processes that enhance productivity, and reduces human error, allowing leaders to optimize resources and focus on strategic priorities.

Customer Experience Enhancement: Leaders can use AI to better understand customer behavior, personalize experiences, and improve satisfaction across digital touchpoints.

Team and Project Management: AI tools support leaders in managing cross-functional teams, tracking project progress, and ensuring alignment with organizational goals.

What are some examples of AI in leadership?

AI is rapidly becoming an indispensable part of every business. It is being used by leaders across industries to improve business performance, streamline operations, and foster innovation. Here are a few real-world examples of how AI is applied by those in leadership roles:

AI-powered analytics tools can extract insights from vast datasets, to make faster and more informed strategic decisions.

AI helps marketing leaders to create personalized experiences for customers. It tailors messaging, recommendations, and support based on individual customer behavior and preferences.

AI-driven automation tools optimize supply chains, forecast demand, and manage inventory more efficiently.

AI tools are used for talent management like skills assessment, recruitment, and performance analysis, to build stronger, more agile teams.

AI tools help in risk and compliance monitoring to detect fraud, monitor compliance, and evaluate potential business risks proactively.

Generative AI drives innovation, generates creative ideas, helps design new service models, and simulates complex scenarios, unlocking new opportunities for growth.