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PGP in Artificial Intelligence for Leaders
Learn skills that make you AI enabled business leader
Application closes 30th Oct 2025
What’s new in this online course?
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Modules on Generative AI for NLP
Master generative AI for NLP, covering model design, fine-tuning, and real-world applications, with a focus on data, computation, and ethics.
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No code prompt engineering modules
Learn prompt engineering without coding, focusing on crafting effective prompts for AI models. Explore techniques to optimize model outputs and solve problems across various applications
Program Outcomes
Master AI for business strategy without coding
Become a leader in AI & drive business growth
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Gain strategic insights to manage and execute AI projects effectively
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Explore AI’s transformative potential across diverse business scenarios
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Build innovative AI-powered products and services to drive growth
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Lead and collaborate with cross-functional teams for seamless AI integration
Earn a postgraduate certificate from The University of Texas at Austin
Key program highlights
Why choose the AI for leaders program
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Learn from world’s top university
Earn a certificate from a world-renowned university, taught by top faculty
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Industry-ready curriculum
The GenAI Modules empower business managers to leverage generative AI for innovation, strategic decisions, and driving organizational growth.
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Learn at your convenience
Gain access to 200+ hours of content online, including lectures, assignments, and live webinars which you can access anytime, anywhere
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4 hands-on projects
Work on projects alongside established AI leaders and fellow learners worldwide
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Get expert mentorship
Interact with mentors who are experts in AI and get guidance to complete and showcase your projects
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Personalized program support
Get 1:1 personal assistance from a Program Manager to complete your course with ease.
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Dedicated career support
Get expert guidance to prepare for job roles with mock interviews, resume building, and e-portfolio review
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No code approach
Leverage no-code tools to make better predictions and improve decision-making
Skills you will learn
AI Strategy Development
Generative AI Expertise
AI Project Estimation
POC Development
Machine Learning
Deep Learning
Build vs. Buy Decision-Making
Prompt Engineering
Strategic MLOps and LLMOps
Building and Scaling AI Teams
AI ROI Assessment
AI Ethics and Governance
AI-Driven Decision Making
AI Strategy Development
Generative AI Expertise
AI Project Estimation
POC Development
Machine Learning
Deep Learning
Build vs. Buy Decision-Making
Prompt Engineering
Strategic MLOps and LLMOps
Building and Scaling AI Teams
AI ROI Assessment
AI Ethics and Governance
AI-Driven Decision Making
view more
Transform your business with AI
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$15 trillion
AI net worth by 2030
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$118 billion
AI industry revenue
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98%
businesses use AI
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130 million+
new jobs by 2025
Our alumni work at top companies
- Overview
- Career Transitions
- Learning Journey
- Curriculum
- Projects
- Tools
- Certificate
- Faculty
- Reviews
- Fees
- FAQ
This program is ideal for
The PG program in AI for Leaders empowers you to leverage Artificial Intelligence for strategic decision-making and business growth
View Batch Profile
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Business leaders
Leverage the power of AI in building products and services to grow your business and make profit
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Operations, delivery, & product managers
Launch new products in the market swiftly and successfully and boost customer experience
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Entrepreneurs and Consultants
Build working prototypes for your business, without depending on large data teams
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Working Professionals and Marketers
Lead AI and data-driven teams and build innovation initiatives using AI technologies
Experience a unique learning journey
Our pedagogy is designed to ensure career growth and transformation
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Learn with self-paced videos
Learn critical concepts from video lectures by faculty & AI experts
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Engage with your mentors
Clarify your doubts and gain practical skills during the weekend mentorship sessions
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Work on hands-on projects
Work on projects to apply the concepts & tools learnt in the moduleÂ
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Get personalized assistance
Our dedicated program managers will support you whenever you need
Curriculum
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
Here you will learn about the fascinating history of Data Science its industry applications and the underlying stats.
AI Essentials
Role of Data Science in Life, Evolution of Data Science, How Data Science helps in solving industry problems, Use cases of Data Science across the various functions, Overview of the process of building data-driven solution, Typical life cycle of Data Science
MODULE 1: THE BUSINESS OF AI
Delve into AI project development, assess business impact, and explore case studies illuminating AI applications and limitations. Create effective POC (Proof of Concept) plans, understand market dynamics, and utilize data for decision-making steering the business into the future of AI.
Understand the basics of AI and its rapid growth
Explore practical applications and limitations of AI in business
Engage in the step-by-step process of developing an AI project
Evaluate ROI, threats & opportunities
Develop a POC outline, evaluate solutions, and assess market potential
Create a roadmap for product development and expansion
MODULE 2: DATA MODELING
Develop skills in uncovering patterns and making informed, data-driven decisions. Explore Regression, including multivariate Linear Regression, and delve into classification using Logistic Regression. Gain practical insights for personalized solutions and unlock new possibilities within your data.
Understand data objects and visual metrics for data interpretation
Explore Data Visualization and manipulation
Learn Machine Learning fundamentals and Regression techniques
Learn supervised learning regression techniques
Learn evaluation of regression model performance
Engage in case study sessions with experts to apply concepts
MODULE 3: MACHINE LEARNING AND DEEP LEARNING
Explore machine learning classification using Decision Trees, including CART and pruning techniques, and advance to Random Forests for more accurate guesses. Also, explore the building blocks of deep learning Neural Networks, and how they mimic human thinking for better decision-making. Learn to build, train, and optimize Neural Networks, correcting prediction errors.
Learn supervised classification techniques
Dive into decision trees and learn about pruning techniques
Understand ensemble techniques as a powerful tool in machine learning
Delve into classification model evaluation metrics precision, recall, F1 score, and accuracy
Gain foundational knowledge of neural networks
Explore techniques for optimizing neural networks
Solidify understanding of these concepts using case studies
MODULE 4: DISCOVERING PATTERNS IN DATA
Explore clustering to unveil hidden data patterns, mastering the grouping, scaling, and visualization of similar data points for strategic decisions. Dive into recommendation systems using content-based and collaborative filtering for anticipating customer preferences. Learn to leverage data for business growth and build effective systems.
Gain expertise in K-Means clustering, scaling, and visual analysis
Learn content-based and collaborative filtering
Understand similarity measures, and explore hybrid systems
Understand the real-world applications of clustering and reinforce knowledge
Understand ensemble techniques as a powerful tool in Machine Learning
Develop practical skills in applying clustering and recommendation systems
MODULE 5: GENERATIVE AI FOR LEADERS
Explore how Generative AI works, from understanding large language models to why they sometimes produce errors like hallucinations. You will also learn about various Prompt Engineering techniques and ways of writing effective prompts
Understand the fundamentals of Generative AI, its evolution, and business applications.
Learn the differences between discriminative and generative models.
Explore how LLMs process and predict text, including factors causing hallucinations.
Master prompt engineering techniques like zero-shot, few-shot, and chain-of-thought prompting.
Create reusable templates and optimize prompts for scalable solutions.
Understand the lifecycle of Generative AI, from training to deployment, including tokenization.
Leverage APIs to operationalize LLMs for business impact.
MODULE 6: BUILDING AI-FIRST ORGANISATION
Learn how to build high-performing cross-functional AI teams for different types of organizations. You will also learn how to build a generative AI strategy for the organization to build at scale GenAI solution for your organization.
Learn the differences in AI team dynamics between service and product companies.
Understand centralized vs. distributed AI team structures and their impact on outcomes.
Explore strategies to motivate AI teams and handle resistance from senior management effectively.
Develop skills to coach team members and manage diverse AI project portfolios.
Master techniques for scaling AI teams while maintaining efficiency and innovation.
Gain insights into crafting a Generative AI strategy tailored to your organization's needs.
Understand the role of data, infrastructure, and talent in implementing Generative AI.
Learn to define metrics and KPIs for measuring the success of Generative AI initiatives.
SELF-PACED MODULES
COMPUTER VISION
Concepts: Introduction to Computer Vision, Types of Computer Vision problems, Pixel, How does a computer see an image? 3D Images, Resolution, Image Transformations, Convolution, Pooling, Significance of Convolution & Pooling, Convolutional Neural Networks, Case studies
AI IN PRACTICE
Concepts: Applications of Transfer Learning, Dealing with Imbalanced Data: Data Augmentation, Model Deployment, Modes of Training, Serialization, Model Monitoring and Recalibration.
CAPSTONE PROJECT
The capstone project represents the culmination of candidates' learning, demonstrating mastery of AI techniques. As an AI-enabled business leader, the task is to analyze market opportunities, propose a business plan for an innovative AI product, and present a comprehensive plan including market analysis, product requirements (data & personnel), implementation roadmap, financial projections, and business impact assessment.
CERTIFICATE OF COMPLETION FROM THE UNIVERSITY OF TEXAS AT AUSTIN and 5.5 Continuing Education Units (CEUs)
Upon completing the course successfully, candidates receive a certificate from the esteemed University of Texas at Austin.
Hands-on projects
Work on projects and implement your skills alongside established leaders and fellow learners from around the world
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20+
case studies
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1 team
Capstone project
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4
real-world projects
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
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
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
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
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
Earn your certificate from The University of Texas at Austin
Get a PG certificate from one of the top universities in USA and showcase it to your network
* Image for illustration only. Certificate subject to change.
Meet your faculty
Learn from the top World-renowned faculty
Course fees
The course fee is 3,100 USD
Invest in your career
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Gain strategic insights to manage and execute AI projects effectively
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Explore AI’s transformative potential across diverse business scenarios.
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Build innovative AI-powered products and services to drive growth
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Lead and collaborate with cross-functional teams for seamless AI integration.
Third Party Credit Facilitators
Check out different payment options with third party credit facility providers
*Subject to third party credit facility provider approval based on applicable regions & eligibility
Admission Process
Admissions close once the required number of participants enroll. Apply early to secure your spot
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1. Fill application form
Apply by filling a simple online application form.
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2. Interview Process
A panel from Great Learning will review your application to determine your fit for the program.
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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
Batch start date
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Online · 15th Nov 2025
Admission closing soon
Frequently asked questions
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 5.5 Continuing Education Units (CEUs).
What is the duration of the PGP in Artificial Intelligence for Business Leaders program?
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?
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.
What are the admission requirements for the PG Program in Artificial Intelligence for Leaders? How can I apply?
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?
You can join the program even if you do not have any programming experience.
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.
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.
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.
Delivered in Collaboration with:
The McCombs School of Business at University of Texas at Austin is collaborating with Great Learning to deliver this program Artificial Intelligence for leaders to learners from around the world. Great Learning is an ed-tech company that has empowered learners from over 14+ countries in achieving positive outcomes for their career growth. Great Learning manages the enrollments and provides industry experts, student counselors, course support and guidance to ensure students get hands-on training and live personalized mentorship.
Batch Profile
The PGP-Artificial Intelligence for Leaders class represents a diverse mix of work experience, industries, and geographies of business leaders and managers - guaranteeing a truly global and eclectic learning experience.