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30th Apr 2026
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Application closes 30th 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
#1 (U.S., Big Data Management) in MS Business Analytic
Eduniversal (2025)
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#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
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
How a QA Professional with 17+ Years of Experience is Transitioning into AI & ML
I am Radha Lavanya from Texas, and I work at Match.com. I am currently pursuing the Post Graduate Program in AI & Machine Learning: Business Applications from the McCombs School of Business at The University of Texas. It has been more than four months since I started this program. I am an engineering graduate with over 17 years of experience in QA and automation. As the world continues to evolve, AI and ML have become integral to professional growth. I have always been curious about learning new technologies, and this program caught my attention, motivating me to enroll. So far, my experience has been positive, with well-structured recorded videos, online classes, and assignments. I have gained good knowledge in Python, data analysis, and data manipulation. I hope this program creates a significant positive impact on my career.
Read More
QA Engineer , Match
25th Mar 2026
How AI & Machine Learning Are Transforming Operations in the Oil & Gas Industry
I am an Automation Director at a major oil and gas company and have just completed the Post Graduate Program in AI & Machine Learning: Business Applications from the McCombs School of Business at The University of Texas. I am an electronics engineer with a Master’s degree in Control Systems and Management, and I have been working in the industry for 17 years. I believe AI and ML will be foundational to operational performance in the very near future and represent a significant opportunity for both professional and personal growth. My experience with the program was outstanding. The content, delivery, and overall program management are excellent. I learned how to develop, understand, and apply AI/ML technologies in real-life applications. This program has not only enhanced my knowledge to make better business decisions but has also helped me identify opportunities and move rapidly from concept to deployment.
Read More
, Phillips 66
16th Mar 2026
From Physician to Data-Driven Leader: Applying AI in Public Health Systems
I am Fabricio Salas from Loja, Ecuador. I am a General Physician and Epidemiologist working in public health surveillance for the Ministry of Health. Additionally, I serve as the President of HL7 Ecuador, and I am the founder of Zadorex, a company dedicated to applied health technologies. I am passionate about leveraging technology to improve health outcomes. I hold a medical degree and a Master’s in Epidemiology, and I have worked in both clinical and administrative roles within the public health sector. While I had deep practical experience with health data and statistics, I lacked a formal foundation in advanced data engineering and modern data science methodologies. I realized that the future of public health relies on efficient, automated data processing. My core motivation was to bridge the gap between clinical epidemiology and data science. I wanted to learn how to build automated workflows and interactive dashboards (using R and Python) to modernize our disease surveillance systems and improve data interoperability. I had a challenging but incredibly rewarding experience with the Post Graduate Program in AI & Machine Learning: Business Applications from the McCombs School of Business at The University of Texas. The curriculum struck a great balance between theory and practice. I particularly appreciated the case studies, which helped me understand how coding concepts apply to real-world scenarios. The support from mentors was crucial in helping me troubleshoot complex problems, such as database connectivity and data cleaning logic. I gained proficiency in Python and R for epidemiological analysis and visualization. Key takeaways include mastering SQL for database management and understanding how to structure data pipelines professionally, skills that are essential for my work in health standards. This program has significantly amplified my impact. The skills I learned allow me to lead technical strategies at HL7 Ecuador with greater authority and have expanded the service capabilities of my company, Zadorex. In the Ministry of Health, I can now deploy automated solutions for surveillance that save time and improve data quality.
Read More
, OPS
9th Jan 2026
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
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
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
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.
Read More
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.
Read More
Senior Manager II - Program Management , Motorola Solutions Inc
4th Oct 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
Avail our EMI options & get financial assistance
INSTALLMENT PLANS
Upto 3 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.
Admission closing soon
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
30th Apr 2026
McCombs School of Business at The University of Texas at Austin
6 Months · Online
Sentiment Analysis
Introduction to Text Mining
Multilayer Perceptron
Deepfake Demo
Batch Normalization
AI Applications in Healthcare
Neural Network in R
Natural Language Processing Projects
Introduction to Computer Vision
Semantic Segmentation Tutorial
2025-05-15 08:33:42 UTC
2025-05-14 13:36:35 UTC
2025-05-14 13:35:03 UTC
2025-05-14 13:32:43 UTC
2025-05-14 12:42:54 UTC
2025-05-14 12:30:41 UTC
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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