Application closes on
23rd Apr 2026
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Application closes 23rd Apr 2026
Learn from a comprehensive AI curriculum, from fundamentals to advanced applications. Leverage concepts of Machine Learning, Generative AI, and Agentic AI to solve complex business challenges.
Master the basics of Python programming without any prior coding experience and build a strong coding foundation to develop AI applications through hands-on projects.
Program Outcomes
Solve real-world business challenges using AI
Build a strong AI foundation, from Machine Learning and Neural Networks to modern AI architectures
Use Python and machine learning to build, evaluate, and deploy predictive and generative models
Implement GenAI and RAG pipelines for enhanced decision-making and productivity
Design context-aware single-agent and multi-agent systems to automate complex processes
Implement rigorous evaluation to build reliable, transparent AI solutions that meet business needs
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U.S. News & World Report, 2026
#6 in Executive Education - Custom Programs
Financial Times, 2022
Key program highlights
Learn directly from renowned Texas McCombs faculty with extensive research and theoretical experience, offering advanced expertise in AI and Machine Learning.
Build a deep understanding of AI as you learn from global industry experts in weekly mentorship sessions that hone your judgment and practical intuition.
Learn from 4 hands-on projects and 30+ real-world case studies using data from top companies, with 30+ cutting-edge tools and personalized coding support.
Explore the nuances of AI through industry-relevant topics, including Machine Learning, Generative AI, Agentic AI, Python, Deep Learning, NLP, TensorFlow, and more.
Gain access to 200+ hours of content online, including lectures, assignments, and live webinars, which you can access anytime, anywhere.
Get 1:1 personal assistance from a Program Manager to complete your course with ease.
Skills you will learn
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$15 trillion
AI net worth by 2030
$118 billion
AI industry revenue
Up to $ 150K
Avg annual salary
97 million
new jobs by 2025
Here are the ideal job roles in AI sought after by companies in India
AI Engineer
Machine Learning Engineer
AI Research Scientist
Prompt Engineer
Big Data Engineer
NLP Engineer
Deep Learning Engineer
Business Intelligence Developer
Compute Vision Engineer
AI Consultant
The PG program in AI & ML empowers you to align your learning with your professional aspirations
View Batch Profile
Data and Analytics Professionals
Looking to develop practical skills to build AI-powered solutions that optimize workflows and drive intelligent decision-making.
Business and Technology Enthusiasts
Seeking to bridge the gap between business objectives and technical execution through hands-on experience
Aspiring AI Practitioners
Aiming to build a strong technical foundation and contribute effectively to projects leveraging advanced AI and Agentic AI systems
Technical Leaders
Pursuing deeper fluency in AI architectures to scope, oversee, and guide successful implementations while driving AI adoption
Our pedagogy is designed to ensure career growth and transformation
Learn critical concepts from video lectures by faculty & AI experts
Clarify your doubts and gain practical skills during the weekend mentorship sessions
Work on projects to apply the concepts & tools learnt in the module
Our dedicated program managers will support you whenever you need
AI & ML with On-campus Immersion
In the 3-day immersive on-campus program, you will:
Reach our to your Program Advisor for more details
Designed by the faculty at the McCombs School of Business at The University of Texas at Austin, and industry experts, the curriculum for this Artificial Intelligence course is taught by renowned professors and industry practitioners.
4
Hands-On Projects
30+
Real-World Case Studies
30+
Tools and Technologies
This foundational module introduces core concepts in data and AI, along with an overview of how AI-driven solutions are applied across industry use cases. It also builds essential programming fundamentals and familiarizes learners with the tools and concepts required for Generative AI and Agentic AI applications.
This course develops foundational Python skills for AI applications, focusing on data manipulation, exploratory data analysis, and building data-driven workflows. It also empowers learners to judiciously use AI-assisted coding to support analysis and insight generation.
This course develops a strong understanding of learning from data through linear and non-linear models, including tree-based and ensemble methods, to capture relationships between variables and improve predictive performance. The course also covers neural networks for modeling complex data and generating robust predictions.
This course introduces the foundations of Generative AI for natural language processing, with a focus on Large Language Models (LLMs) and their practical applications. Learners will develop skills in prompt engineering, build retrieval-augmented generation (RAG) pipelines, and evaluate Generative AI workflows for performance and reliability. The course also covers responsible AI principles to ensure safe and effective usage of language models.
This course focuses on the design and implementation of Agentic AI systems for automating complex tasks. Learners will build single-agent and multi-agent systems, integrating reasoning, memory, and tools to execute multi-step workflows. The course also covers evaluation techniques, including human oversight, to assess the performance, reliability, and effectiveness of Agentic AI systems.
This course focuses on deploying machine learning and Generative AI solutions into production environments. Learners will gain an understanding of deployment workflows, including integrating models into web applications and ensuring portability and performance in real-world settings.
Engage in real-world case studies across domains using emerging tools and technologies.
RETAIL
Description
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
FINANCE
Description
Analyze data provided by a consulting firm partnering with banks, address key questions, draw actionable insights, and support the company in improving business by identifying customer attributes associated with credit card eligibility.
Skills you will learn
TRANSPORTATION
Description
Analyze ride-sharing data to identify patterns in demand across time and location, and generate actionable insights to optimize operations, improve resource allocation, and drive business growth.
Skills you will learn
FINANCE
Description
Analyze credit card transaction data and build a neural network model to capture complex patterns and predict the probability of fraudulent transactions, illustrating how potential financial losses for both the institution and cardholders can be minimized.
Skills you will learn
Get AI training with 20+ tools to enhance your workflow, optimize models, and build AI solutions
Python
Scikit-Learn
OpenAI APIs
LangChain
LangGraph
LangSmith
ChromaDB
MCP
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.
Learn from the top, world-renowned faculty at UT Austin
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.
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.
Co-Founder & Director, Wilson Consulting
10+ years of expertise in statistics, programming, and machine learning.
PhD. from the Wharton School, University of Pennsylvania
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Senior Data Scientist
Expert in advanced analytics and evidence-based decision-making.
Extensive experience consulting for Fortune 500 companies.
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AI Research Scientist, intelChain
Interact with dedicated AI and Machine Learning experts who will guide you in your earning and career journey
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Read about learners experiences with our program support, faculty, and mentors
An invaluable investment that equips you with essential AI/ML skills for career success
I highly recommend the Post Graduate Program in Artificial Intelligence and Machine Learning. The investment of time and money proved to be well worth it, as the skills and knowledge I gained became invaluable assets to my professional career.
Read More
VP of Engineering , TXM Telecom Solutions
3rd Oct 2024
A rigorous program offering real-world projects and tools to excel in AI/ML
I would recommend the Post Graduate Program in Artificial Intelligence and Machine Learning to any aspiring learner. It provided an excellent opportunity to deepen my understanding of AI and Machine Learning while applying those skills in a real-world context. The curriculum was rigorous, but the hands-on projects and support from mentors were invaluable in solidifying my knowledge. Staying curious and proactive was essential, as the field evolves rapidly, and the program equipped me with the tools to stay ahead. Whether learners are aiming to advance their current career or transition into AI, the program provides both the technical depth and strategic insights needed for success.
Read More
Data Science Manager , Heineken Mexico
29th Sep 2024
A transformative program with hands-on projects and cutting-edge AI/ML learning experiences
This experience was truly transformative for me. The curriculum was both challenging and rewarding, equipping me with essential skills that were highly sought after in today’s job market. I had the opportunity to work with cutting-edge technology, engage in hands-on projects, and collaborate with talented individuals and experienced faculty who were passionate about the field. It was a supportive environment where I was able to explore my interests and push my boundaries. If learners are eager to deepen their understanding of AI and Machine Learning and apply it in real-world scenarios, this program is an excellent choice.
Read More
Principal Consultant , Southern Terranomics LLC
27th Sep 2024
Motivates learners to apply AI/ML concepts at work for meaningful outcomes
It was worth learning to explore what AIML is all about. I made sure to focus on applying what I learned to my work, which made the learning process more motivating. I would encourage all learners to seriously consider taking a program like this.
Read More
Sr Architect , Synopsys Inc
26th Sep 2024
Empowers professionals with AI/ML insights to lead and innovate in their organizations
I highly recommend the Post Graduate Program in Artificial Intelligence and Machine Learning to professionals looking to make a significant impact in their organizations. Understanding AI and Machine Learning from a business perspective was essential for differentiating between followers and leaders.
Read More
Director , Rodcal Inc
26th Sep 2024
The program is an excellent place to delve into Artificial Intelligence and Machine Learning.
This program is an excellent place to delve into Artificial Intelligence and Machine Learning. The mentors and professors are experts in their field and are passionate about teaching. The curriculum is comprehensive, covering all essential topics. The program also offers various extracurricular activities, like hackathons and research projects, enabling students to apply their learning. The support structure is robust, ensuring students receive assistance when needed. Overall, it's a worthwhile investment for your future in Artificial Intelligence and Machine Learning.
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Sr Database Engineer , Amazon Web Services (AWS)
18th Jan 2024
The program offers a strong foundation for those expanding their knowledge in AI and ML.
First of all, I would like to thank the University of Texas at Austin for arranging such a great program through Great Learning. Overall, it has been a wonderful learning experience. The boot camp program helped me learn the basics of Python, and the introductory videos on Artificial Intelligence and Machine Learning concepts were excellent, particularly those on linear regression. The program's videos on computer vision were especially outstanding. My Program Manager and mentor were exceptional in their support, helping me navigate scheduling challenges and providing detailed explanations whenever I had doubts. This program offers a strong foundation for any professional looking to expand their knowledge of Artificial Intelligence and Machine Learning, and I would highly recommend it to anyone dedicated to learning from the basics.
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Senior Manager II - Program Management , Motorola Solutions Inc
4th Oct 2023
Her leadership and dedication made the learning experience exceptional.
I had the pleasure of being under the guidance of an amazing Program Manager during my learning program, she exceeded all expectations. Her leadership, organization, and dedication made the learning experience exceptional. Her ability to communicate complex concepts clearly and engagingly made the material accessible. Her supportive and approachable demeanor fostered a positive learning environment. Thanks to her meticulous planning, the program ran seamlessly. I highly recommend this program.
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QA Automation Engineer , Xneelo
12th Jun 2023
The lectures and topics were amazing and the professors and managers were exceptional.
I completed the program with Great Learning. The lectures and topics were amazing and the professors and managers were exceptional. It’s an intensive and challenging program, but in the end, I realized how far I went and how useful everything I learned was. Special thanks to mentors and Program Manager for their support.
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Postdoctoral Researcher , University of California, San Francisco
5th Jun 2023
Perfect stepping stone into Artificial Intelligence with well-structured and supportive mentoring sessions.
I am extremely pleased to have enrolled in this program. It provided the perfect stepping stone into Artificial Intelligence. It was well-structured, with weekly mentoring sessions that provided valuable support. The pacing was ideal, accommodating learners at different stages, and the weekly quizzes were a great way to assess understanding. My experience with the program has been highly rewarding, and I recommend it to anyone looking to dive into Artificial Intelligence.
Read More
Web Developer , IT4Culture
15th Apr 2023
The course's flexible schedule and hands-on projects helped me master Python and AI/ML concepts. Supportive instructors ensured doubts were addressed, giving me confidence to solve real-world problems.
Animesh Bannerjee
Director , Visa
The program's mentoring sessions were exceptional, offering industry insights and clearing doubts. I successfully built AI and ML models, gaining skills that make me feel ahead of the curve.
Aron Feseha
Sr. Database Engineer , Lowes Pro
The program’s balanced curriculum, engaging projects, and weekly mentor sessions were invaluable. It strengthened my Python skills, deepened my AI expertise, and provided an impressive deep dive into NLP concepts.
James C McGrath
Head of Investment Strategy and Advisor Consulting , AlphaTrAI
Interact personally with industry professionals to get valuable insights and guidance
Get an insiders perspective to understand what recruiters are looking for
Get your resume and LinkedIn profile reviewed by our experts to highlight your AI & ML skills & projects
Build an industry-ready portfolio to showcase your mastery of skills and tools
The course fee is USD 3,950
Build a strong AI foundation, from Machine Learning and Neural Networks to modern AI architectures
Use Python and machine learning to build, evaluate, and deploy predictive and generative models
Implement GenAI and RAG pipelines for enhanced decision-making and productivity
Design context-aware single-agent and multi-agent systems to automate complex processes
Easy payment plans
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INSTALLMENT PLANS
Upto 12 months Installment plans
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Admissions close once the required number of participants enroll. Apply early to secure your spot
Apply by filling a simple online application form.
A panel from Great Learning will review your application to determine your fit for the program.
After a final review, you will receive an offer for a seat in the upcoming cohort of the program.
Admissions Open
McCombs School of Business at The University of Texas at Austin is collaborating with Great Learning to deliver this program in Artificial Intelligence and Machine Learning: Business Applications to learners from around the world. Great Learning is an ed-tech company that has empowered learners from over 170+ countries in achieving positive outcomes for their career growth.
Application Closes
23rd Apr 2026
Why should I choose this AI and Machine Learning course? What is unique about this AI course from the McCombs School of Business at The University of Texas at Austin?
The benefits of choosing this top-notch program include:
The UT Austin Advantage: The McCombs School of Business at The University of Texas at Austin is a distinguished public research university. They offer world-class education, experiential learning, and cutting-edge research. With a proven track record of delivering high-impact programs through modern teaching methods, you can be confident about learning from top experts.
Industry-Relevant Curriculum: Designed by the faculty and experts from the McCombs School, the comprehensive curriculum covers foundations of AI and ML, Statistics, Machine Learning, Deep Learning & Neural Networks, Computer Vision, and NLP. It focuses on practical business applications and hands-on learning to help you thrive in the fast-growing AI-ML field.
Programming Bootcamp: For learners with no programming background, this program offers an optional programming bootcamp, at no extra cost. The bootcamp prepares you to engage with advanced concepts in the program confidently.
Interactive Sessions: The program provides a chance to connect and network with peers through interactive micro-classes. These sessions deepen your understanding through collaboration and personalized mentor feedback, enhancing your learning and expanding your AI-ML community.
Hands-on Learning: The program’s practical approach enables you to grasp core AI-ML concepts and real-world applications. You’ll take on projects that help you build cutting-edge skills and tackle real business challenges.
Best-in-Class Faculty: Learn from leading academicians and industry experts dedicated to equipping you with practical AI and ML skills.
Industry-Relevant Projects: Complete 8+ hands-on projects across multiple modules during weekend sessions, by applying classroom concepts to real-world problems.
Live Online Mentorship and Webinars: Access live mentoring sessions and webinars with professionals from diverse backgrounds for insights, guidance on industry trends, and project support.
Earn a certificate from UT Austin: After the successful completion of the program, earn a certificate from a world-renowned university.
Flexibility: Gain access to 200+ hours of content online, including lectures, assignments, and live webinars, which you can access anytime, anywhere.
Great Learning Advantage: Receive personalized career support, including tailored guidance, resume and LinkedIn reviews, and mock interview sessions to help you succeed.
Can I pursue this course while working full-time?
Yes, this program is designed for working professionals. Its flexible online format, structured milestones, and dedicated mentor support make it easy to balance learning with your job, so you can upskill at a steady pace without pausing your career.
Will I receive alumni status or university credits?
No, learners who complete the PGP-AIML from the McCombs School of Business at The University of Texas at Austin do not receive alumni status. However, learners would earn 9 Continuing Education Units (CEUs), which reflect the time and effort dedicated to professional learning in this program.
What is the required weekly time commitment?
The program requires about 8-10 hours a week, which includes:
2-3 Hours of recorded lectures
2-hour mentored learning sessions on weekends (hands-on practice & problem-solving)
1 Hour of practice exercises or assessments
2-4 Hours of self-study and practice, based on your background
How will my performance be evaluated in the PGP AIML by UT Austin program?
There will be a continuous evaluation of your performance through quizzes, assignments, case studies, and project reports.
What is the PG Program in AI and Machine Learning about?
The Post Graduate Program in Artificial Intelligence and Machine Learning is offered by the McCombs School of Business at The University of Texas at Austin in collaboration with Great Learning. It is designed to provide a comprehensive and hands-on learning experience to the learners with no prior programming background.
The course begins with foundational concepts in Python and progresses into advanced areas such as Deep Learning, Natural Language Processing, Computer Vision, and Generative AI.
With personalized mentorship, structured milestones, and collaborative peer interaction, learners are supported at every step to ensure consistent progress and meaningful outcomes.
What is the duration of this Texas McCombs AI ML program?
What is the structure of the Artificial Intelligence course?
What career opportunities will I get after completing this Artificial Intelligence course?
Completing this PGP-AIML can help open doors for you to a wide range of roles in the AI and data science space. Depending on your background and experience, you may explore opportunities such as:
AI Engineer
Machine Learning Engineer
Data Scientist
AI Specialist
Computer Vision Engineer
NLP Engineer
Business Analyst
Research Scientist (AI, ML, Deep Learning)
Robotics Scientist
Robotics Engineer
What role does Great Learning play in this AI course?
Great Learning partners with The McCombs School to deliver high-quality AI-ML education and personalized mentorship. Great Learning offers services that include:
Who are the industry mentors providing guidance throughout the program?
What is the Artificial Intelligence and Machine Learning course from The University of Texas at Austin’s McCombs School of Business?
Discover the power of Artificial Intelligence and Machine Learning at The University of Texas at Austin's McCombs School of Business.
Experience the remarkable capabilities of Artificial Intelligence (AI) and Machine Learning (ML) through the exceptional academic programs offered by The University of Texas at Austin's esteemed McCombs School of Business. This Post Graduate Program is designed to provide learners with essential analytical and practical skills, enabling them to lead organizations in the AI revolution. Taught through a combination of engaging lectures, hands-on demonstrations, live mentored learning, and live webinars, you will learn to apply newly emerging technologies in the workplace effectively.
This PGP in AI-ML at UT Austin includes a comprehensive curriculum empowering learners to master the basics of programming and the most widely used industry-relevant tools and techniques. With a unique approach, you will gain a solid foundation in AI-ML and be well-equipped to tackle real-world challenges.
With access to industry-standard resources and hands-on projects, you will gain practical experience to become an expert in the field through AI training. The Post Graduate Program’s dedicated mentors and career guidance will also support your transition to a lucrative career in Artificial Intelligence and Machine Learning.
What is the ranking of The University of Texas at Austin (UT Austin)?
The Financial Times 2022 placed UT Austin 6th globally for Executive Education - Custom Programs.
What is the curriculum of the McCombs School of Business at the University of Texas at Austin AI and Machine Learning program?
The curriculum of this program covers:
Foundations of AI and ML: Python, NumPy, Pandas, Matplotlib, Seaborn, Exploratory Data Analysis, Statistics.
Machine Learning Concepts: Supervised learning, ensemble techniques, feature engineering, model tuning, unsupervised learning, AI engineering, model deployment.
AI & Deep Learning: Neural networks, TensorFlow, Keras, computer vision, natural language processing, recommendation systems.
What are the learning outcomes of the online AI and Machine Learning course from the McCombs School of Business at The University of Texas at Austin?
By the end of this program, you will:
Gain familiarity with industry-relevant AI and Machine Learning tools and technologies.
Apply AI and ML techniques through hands-on projects that address practical business challenges.
Build expertise in designing solutions using Machine Learning and Deep Learning methods.
Develop skills in key application areas such as Natural Language Processing (NLP) and Computer Vision.
Understand the transformative role of AI across sectors and how it is reshaping modern industries
Build a project-based AI and ML portfolio that demonstrates your capabilities and applied knowledge
Which languages and tools will I learn in this Artificial Intelligence course?
What projects are included in the UT Austin Machine Learning certificate program?
The projects included in this program are designed to build industry relevant skills with expert guidance. Learners will complete 8+ industry-relevant projects, including:
Airplane Passenger Satisfaction Prediction – Marketing
Facebook Comments Prediction – Social Media
West Nile Virus Prediction – Social + Healthcare
Insurance Premium Default Propensity Prediction – Insurance
Retail Sales Prediction – Retail
Loan Customer Identification – Banking
CEO Compensation – HR
Insurance Data Visualization – Insurance
Who are the faculty members teaching this AI course?
What certificate will I receive after completing this AI and Machine Learning certificate course from The McCombs School?
Upon completing the program, you will earn the prestigious Post Graduate Certificate in Artificial Intelligence and Machine Learning: Business Applications from the McCombs School of Business at The University of Texas at Austin.
This certificate validates your mastery of AI-ML skills and enhances your career prospects.
Who is the AI and Machine Learning program ideal for?
This AI and Machine Learning program is ideal for:
Young professionals who want to kickstart their career in the AI domain.
Mid-senior professionals who want to step into senior roles with advanced AI skills .
Project Managers who want to effectively manage AI/ML projects through best practices.
Tech Leaders who want to lead AI innovation with strategic insights and advanced AI/ML skills.
What is the admission process of the AI and Machine Learning course offered by the McCombs School of Business at The University of Texas at Austin?
Fill application form: Apply by filling a simple online application form. Interview Process: A panel from Great Learning will review your application to determine your fit for the program. Join program: After a final review, you will receive an offer for a seat in the upcoming cohort of the program.
When is the application deadline for this course?
Applications are reviewed on a rolling basis until all cohort seats are filled. We recommend applying early to improve your chances and allow ample preparation time.
What are the eligibility criteria for enrolling in this AI and Machine Learning online course offered by the McCombs School of Business at The University of Texas at Austin?
To be eligible for this program, you need to have:
A bachelor’s or undergraduate degree with at least 50% aggregate marks or equivalent.
No prior programming experience
What payment methods are available to pay my course fee?
For assistance, contact aiml.utaustin@mygreatlearning.com or call +1 512-861-6570.
Are there any additional expenses related to buying books, online resources, or license fees?
Does this program accept corporate sponsorships?
Contact us at +1 512-861-6570 for details.
What is the AI/ML course fee to pursue this PG Program?
Why should I take up AI training?
AI and Machine Learning are driving innovations in healthcare, finance, retail and many other sectors. Learning these skills can help you keep up with changes in your field, discover new job opportunities and solve complex problems using data-driven techniques. If you want to work in tech or upskill in your existing job, understanding AI and ML skills can make you more competitive.
How do I know if AI and Machine Learning skills are right for my career path?
If you are interested in data, enjoy resolving complex problems, and are curious about how technology can be used to make better business decisions, AI and Machine Learning courses can be a great fit for you. These skills are in high demand across industries.
Whether you're looking to move into a more technical role or add advanced capabilities to your current profession, learning AI and ML can open new and diverse career opportunities for you.
What are the most popular tools and programming languages used in AI and ML?
The most popular tools and programming languages used in AI and ML include:
Python, the most widely-used language
Jupyter Notebooks and
Google Colab
How is AI being used in emerging technologies like Generative AI and autonomous systems?
Generative AI relies on AI to create original content like writing, images, music, and even code by learning patterns from huge data.
AI allows autonomous systems to understand their surroundings through sensors, make real-time decisions, and navigate without human intervention. For example, self-driving vehicles and drones. Thanks to these advances, transportation, delivery, and manufacturing have become better and a lot more manageable.
What industries are hiring AI and ML professionals the most?
AI and Machine Learning skills are in high demand across many industries like: Technology Healthcare Finance Retail Manufacturing Logistics These industries are looking for professionals who can analyze data, build intelligent systems, and drive innovation.
The PGP-Artificial Intelligence and Machine Learning class represents a diverse mix of work experience, industries, and geographies - guaranteeing a truly global and eclectic learning experience.
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