Post Graduate Program in AI & Machine Learning: Business Applications
Build Cutting-Edge Skills with a Top Artificial Intelligence and Machine Learning Course
Application closes on
12th Mar 2026
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4.72
Speak with our expert
+1 512 861 6570
Our learners success stories
Read about our learners stories as they transformed their careers with the AIML program
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4.72
12836 ratings
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96%
program satisfaction
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9 million
students enrolled
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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.
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Victor J Plata Mazzotti
VP of Engineering , TXM Telecom Solutions
3rd Oct 2024
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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.
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Tomas Zuppa
Data Science Manager , Heineken Mexico
29th Sep 2024
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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.
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Arloe Fontenot
Principal Consultant , Southern Terranomics LLC
27th Sep 2024
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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.
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Shivakumar Chonnad
Sr Architect , Synopsys Inc
26th Sep 2024
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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
Carlos Rodriguez
Director , Rodcal Inc
26th Sep 2024
Learn more about the course
Get details on syllabus, projects, tools, and more
PGP in Artificial Intelligence & Machine Learning: Business Applications
Master AI applications and secure a future-ready career
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4.72 ( 12836 Ratings )
Application closes 12th Mar 2026
Curated for Impact
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Comprehensive AI Curriculum
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.
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No Prior Coding Background Required
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
Elevate your career with advanced AI skills
Become an AI & Machine Learning expert
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Lead AI innovation by mastering core AI & ML concepts & technologies
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Build AI applications with GenAI, NLP, computer vision, predictive analytics, and recommendation systems
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Build an impressive, industry-ready portfolio with hands-on projects.
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Earn a bonus certificate in Python Foundations to strengthen your skills
Earn a certificate of completion
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#6 in MS - Business Analytics
QS World University Rankings (2024)
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#6 in Executive Education - Custom Programs
Financial Times, 2022
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#1 (U.S., Big Data Management) in MS Business Analytics
Eduniversal (2024)
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#6 in MS Business Analytics
The Financial Engineer Times (2024)
Key program highlights
Why choose the AI & ML program
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Learn from the best in academia
Learn directly from renowned Texas McCombs faculty with extensive research and theoretical experience, offering advanced expertise in AI and Machine Learning.
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Benefit from expert mentorship
Build a deep understanding of AI as you learn from global industry experts in weekly mentorship sessions that hone your judgment and practical intuition.
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Hands-on learning
Learn from 7 hands-on projects and 40+ real-world case studies using data from top companies, with 20+ cutting-edge tools and personalized coding support.
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AI-infused comprehensive curriculum
Explore the nuances of AI through industry-relevant topics, including Machine Learning, Generative AI, Agentic AI, Python, Deep Learning, NLP, TensorFlow, and more.
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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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Personalized program support
Get 1:1 personal assistance from a Program Manager to complete your course with ease.
Skills you will learn
Programming Fundamentals
Machine Learning
Computer Vision
Generative AI
Foundational Skills Certification
Problem-Solving Skills
Portfolio Development
Deep Learning
Natural Language Processing
AI Applications
Programming Fundamentals
Machine Learning
Computer Vision
Generative AI
Foundational Skills Certification
Problem-Solving Skills
Portfolio Development
Deep Learning
Natural Language Processing
AI Applications
view more
Secure top AI & machine learning jobs
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$15 trillion
AI net worth by 2030
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$118 billion
AI industry revenue
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Up to $ 150K
Avg annual salary
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97 million
new jobs by 2025
Careers in AI & ML
Here are the ideal job roles in AI sought after by companies in India
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AI Engineer
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Machine Learning Engineer
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AI Research Scientist
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Prompt Engineer
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Big Data Engineer
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NLP Engineer
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Deep Learning Engineer
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Business Intelligence Developer
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Compute Vision Engineer
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AI Consultant
Our alumni work at top companies
- Overview
- Career Transitions
- Why GL
- Learning Journey
- Curriculum
- Projects
- Tools
- Certificate
- Faculty
- Mentors
- Reviews
- Career support
- Fees
- FAQ
This program is ideal for
The PG program in AI & ML empowers you to align your learning with your professional aspirations
View Batch Profile
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Data and Analytics Professionals
Looking to develop practical skills to build AI-powered solutions that optimize workflows and drive intelligent decision-making.
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Business and Technology Enthusiasts
Seeking to bridge the gap between business objectives and technical execution through hands-on experience
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Aspiring AI Practitioners
Aiming to build a strong technical foundation and contribute effectively to projects leveraging advanced AI and Agentic AI systems
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Technical Leaders
Pursuing deeper fluency in AI architectures to scope, oversee, and guide successful implementations while driving AI adoption
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 module
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Get personalized assistance
Our dedicated program managers will support you whenever you need
Syllabus designed for professionals
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.
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200+ hours
Coding Assistant
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20+
On Agentic AI
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40+
Case Studies
Pre-Work I
This preparatory module will introduce you to the world of data and AI, provide an overview of how problems are solved in the industry using data and AI, and give you a fundamental understanding of the hands-on tools needed to build a strong foundation for Generative AI applications.
Introduction to AI Landscape
- Introduction to Key Terminology (Artificial Intelligence, Machine Learning, Deep Learning, Generative AI, Large Language Model)
- History and Evolution of AI
- Business Problems and Solution Spaces Across Different Industries
Pre-Work II
This preparatory module will introduce you to the world of data and AI, provide an overview of how problems are solved in the industry using data and AI, and give you a fundamental understanding of the hands-on tools needed to build a strong foundation for Generative AI applications.
Python Programming Fundamentals
- Introduction to Python
- Environment Setup
- Google Colab
- Fundamental Python
- Programming Constructs
- Variables, Data Types, Data Structures (List, Dictionary), Conditional Statements
Module 01: Python Foundations
In this module, you will learn to read, explore, manipulate, and visualize data to tell stories, solve business problems, and deliver actionable insights and recommendations by performing exploratory data analysis using some of the most widely used Python packages.
Concepts Covered
- Week 1: Introduction to Python
- Week 2: Data Manipulation
- Week 3: Exploratory Data Analysis
- Week 4: Project Week
Module 02: Machine Learning
This module is designed to help you build an understanding of the concept of learning from data, develop linear and non-linear models to capture relationships between attributes and known outcomes, and discover patterns in and segment data with no labels.
Concepts Covered
- Week 5: Linear Regression
- Week 6: Decision Trees
- Week 7: K-means Clustering
- Week 8: Project Week
- Week 9: Learning Break
Module 03: Advanced Machine Learning
This module focuses on exploring how to combine the decisions from multiple models using ensemble techniques to improve performance and make better predictions, while applying feature engineering and hyperparameter tuning to build generalized, robust models that optimize associated business costs.
Concepts Covered
- Week 10: Bagging
- Week 11: Boosting
- Week 12: Model Tuning
- Week 13: Project Week
Module 04: Introduction to Neural Networks
Concepts Covered
- Week 14: Introduction to Neural Networks
- Week 15: Optimizing Neural Networks
- Week 16: Projects Week
Module 05: Natural Language Processing with Generative AI
This module helps you get introduced to the world of Natural Language Processing (NLP), gain a practical understanding of text embedding methods, and learn how different transformer architectures power Large Language Models (LLMs). You will explore how Retrieval-Augmented Generation (RAG) integrates information retrieval to improve the accuracy and relevance of LLM responses, and design and implement robust NLP solutions using open-source LLMs combined with prompt engineering techniques.
Concepts Covered
- Week 17: Word Embeddings
- Week 18: Attention Mechanism and Transformers
- Week 19: Large Language Models and Prompt Engineering
- Week 20: Retrieval Augmented Generation
- Week 21: Project Week
- Week 22: Learning Break
Module 06: AI Agents for Automation
This module introduces you to the shift from traditional automation to Agentic AI. You will learn how to build intelligent agents using LangChain, equip them with dynamic tool-use capabilities, integrate memory into AI agents, and understand the mechanics of planning, multi-step reasoning, and the ReAct framework to enable agents to decompose and solve complex, multi-stage tasks. Finally, you will learn to evaluate AI agents to develop reliable AI solutions enhanced with human oversight.
Concepts Covered
- Week 23: Introduction to AI Agent Workflows
- Week 24: Planning and Reasoning in AI Agents
- Week 25: Evaluating AI Agents
- Week 26: Project Week
Module 07: Model Deployment
This module helps you understand the role of model deployment in realizing the value of an ML model and teaches you how to build and deploy an application using Python.
Concepts Covered
- Week 27: Introduction to Model Deployment
- Week 28: Containerization
- Week 29: Projects Week
Self-Paced Module: Multimodal Generative AI Masterclass
This asynchronous module helps you explore how to solve business problems by generating code using Generative AI tools, examine the capabilities of text-to-image and image-to-text GenAI tools like DALL·E through business use cases, and understand the speech recognition capabilities of audio-to-text GenAI tools like Whisper in practical business applications.
Concepts Covered
- Code Generation Using GenAI
- Image Creation Using GenAI
- Speech Recognition Using GenAI
Self-Paced Module: Neural Networks for Computer Vision
This module introduces you to the world of computer vision, helps you understand image processing and various methods for extracting informative features from images, and guides you in building Convolutional Neural Networks (CNNs) to uncover hidden patterns in image data and solve image classification problems at your own pace.
Concepts Covered
- Overview of Computer Vision
- Image Processing
- Convolutional Neural Networks
Self-Paced Module: Statistical Learning
This module helps you perform statistical analysis using Python to evaluate the reliability of business estimates through confidence intervals and hypothesis testing. You will learn to analyze data distributions, test assumptions before committing resources, and make informed decisions based on data-driven evidence.
Concepts Covered
- Probability Fundamentals
- Probability Distributions
- Sampling and Central Limit
- Theorem Estimation
- Theory Hypothesis Testing
Self-Paced Module: Recommendation Systems
This module introduces you to recommendation systems and guides you in building models that leverage past product purchase and satisfaction data to deliver high-quality, personalized recommendations.
Concepts Covered
- Introduction to Recommendation Systems
- Market Basket Analysis
- Popularity-Based and Content-Based Recommendation Systems
- Collaborative Filtering
- Hybrid Recommendation Systems
Self-Paced Module: Introduction to SQL
This module helps you understand the core concepts of databases and SQL, gain hands-on experience writing simple SQL queries to filter, manipulate, and retrieve data from relational databases, and use advanced SQL techniques such as joins, window functions, and subqueries to solve real-world data problems and extract actionable business insights.
Concepts Covered
- Introduction to DB and SQL
- Fetching, Filtering, and Aggregating Data
- Inbuilt and Window Functions
- Joins and Subqueries
Work on Hands-On Projects and Case Studies
Engage in hands-on projects and 15+ real-world case studies using emerging tools and technologies.
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7
Hands-on projects
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22+
Domains
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20+
Tools and technologies
FOOD AND BEVERAGES
Restaurant Order Demand Analysis
Description
Perform an exploratory data analysis and provide actionable insights for a food aggregator company to gain a better understanding of the demand across different restaurants and cuisines. This will help enhance customer experience and improve business performance.
Skills you will learn
- Python
- Numpy
- Pandas
- Seaborn
- Univariate Analysis
- Bivariate Analysis
- Exploratory Data Analysis
FINANCE
Loan Campaign Response Prediction
Description
Analyze historical marketing campaign data of a bank and build a machine learning model to identify customers who are exposed to a marketing campaign and have a higher probability of purchasing a loan.
Skills you will learn
- Exploratory Data Analysis
- Decision Trees
- Pruning
- Scikit-Learn
- Pandas
- Seaborn
IMMIGRATION
Visa Status Classification
Description
Analyze the data of visa applicants and build a predictive model to streamline the visa approval process. The model will identify important factors influencing visa status and recommend suitable profiles for applicants, determining whether their visa should be certified or denied.
Skills you will learn
- Exploratory Data Analysis
- Data Preprocessing
- Bagging
- Random Forest
- Boosting
- AdaBoost
- Gradient Boosting
- XGBoost
- GridSearchCV
ENERGY
Wind Energy Equipment Failure Prediction
Description
Analyze data from a wind energy provider regarding equipment health, and build various neural network models to identify potential failures. This will allow for timely repairs before equipment breaks down, reducing overall maintenance costs.
Skills you will learn
- Exploratory Data Analysis
- Data Preprocessing
- TensorFlow
- Keras
- Artificial Neural Networks
- Regularization
Master in-demand AI & ML tools
Get AI training with 20+ tools to enhance your workflow, optimize models, and build AI solutions
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Python
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Langchain
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N8n
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Gemini
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Whisper
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Pandas
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NumPy
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Scikit - learn
Earn a Professional Certificate in AI & ML
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 at UT Austin
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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.
Know More
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Dr. Daniel A Mitchell
Clinical Assistant Professor, McCombs School of Business, The University of Texas at Austin
Research Director, Center for Analytics and Transformative Technologies
15+ years of experience in financial engineering and quantitative finance.
Know More -
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.
Know More
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Prof. Mukesh Rao
Senior Faculty, Academics, Great Learning
20+ years of expertise in AI, machine learning, and analytics
Director - Academics at Great Learning
Know More
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Dr. Bradford Tuckfield
Co-Founder & Director, Wilson Consulting
10+ years of expertise in statistics, programming, and machine learning.
PhD. from the Wharton School, University of Pennsylvania
Know More
LinkedIn Profile
University LinkInteract with our mentors
Interact with dedicated AI and Machine Learning experts who will guide you in your earning and career journey
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Idris Malik
Software Engineer, Machine Learning Meta
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Nimish Srivastava
Senior Machine Learning Engineer Adobe
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Franck Tchuente
Senior Data Scientist Paper
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Vybhav Reddy K C
Senior Data Scientist Socure
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Dipjyoti Das
Staff Data Scientist One Concern
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Omid Badretale
Senior Research Data Scientist | Alternative Data RBC Capital Markets
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Asghar Mohammadi
Senior Data Scientist Cvent
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Rafat Mohammed
Senior Data Scientist, Advanced Analytics Gordon Food Service
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Mustakim Helal
Senior Data Engineer CGI
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Alisher Mansurov
Assistant Professor Nipissing University
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Shahzeb Shahid
Senior Data Scientist Kroll
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Yusuf Baktir
Senior Data Scientist Wider Circle
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Shekhar Tanwar
Machine Learning Engineer Highmark Inc.
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Mahmudul Hasan
Lead Data Scientist TELUS Communications
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Olha Kuzaka
Senior Software Engineer 1 - Data, Tech Lead BenchSci
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Karlos Muradyan
Data Scientist Teck Resources Limited
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Marcelo Guarido de Andrade
Research Assistant at University of Calgary University of Calgary
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Kandarp Patel
Staff Data Scientist, AI/ML Walmart
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Ben Brock
Teaching Assistant to Professor Stuart Urban for Quantitative Financial Analysis course. Johns Hopkins University Carey School of Business
Learners review our program support & mentors
Read about learners experiences with our program support, faculty, and mentors
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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
Harbir Singh
Sr Database Engineer , Amazon Web Services (AWS)
18th Jan 2024
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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
Dhamodharan Pandurangan
Senior Manager II - Program Management , Motorola Solutions Inc
4th Oct 2023
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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.
Read More
Maryam Dalivand
QA Automation Engineer , Xneelo
12th Jun 2023
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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.
Read More
Bonell Patino-Escobar
Postdoctoral Researcher , University of California, San Francisco
5th Jun 2023
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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
Pierre Lafitte
Web Developer , IT4Culture
15th Apr 2023
Watch inspiring success stories
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Watch story
"Flexible learning and real-world projects made me confident in AI/ML"
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
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Watch story
"Mentoring sessions helped me learn AI from industry experts and build models."
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
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Watch story
"Mentor-led sessions and hands-on projects made AI learning exceptional."
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
Get dedicated career support
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1:1 career sessions
Interact personally with industry professionals to get valuable insights and guidance
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Interview preparation
Get an insiders perspective to understand what recruiters are looking for
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Resume & Profile review
Get your resume and LinkedIn profile reviewed by our experts to highlight your AI & ML skills & projects
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E-portfolio
Build an industry-ready portfolio to showcase your mastery of skills and tools
Course fees
The course fee is USD 4,200
Invest in your career
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Lead AI innovation by mastering core AI & ML concepts & technologies
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Build AI applications with GenAI, NLP, computer vision, predictive analytics, and recommendation systems
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Build an impressive, industry-ready portfolio with hands-on projects.
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Earn a bonus certificate in Python Foundations to strengthen your skills
Easy payment plans
Avail our flexible payment options & get financial assistance
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INSTALLMENT PLANS
Upto 12 months Installment plans
Explore our flexible payment plans
View Plans
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discount available
USD 4,200 USD 4,000
USD 4,200 USD 4,050
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
- For candidates who do not know Python, we offer a free pre-program tutorial
Batch start date
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Online · 14th Mar 2026
Admission closing soon
Frequently asked questions
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:
- E-Portfolio for Projects: Build a standout portfolio showcasing your skills to employers.
- Resume Creation and Interview Preparation: Get career development support, including resume workshops and mock interviews.
- LinkedIn Profile Review: Receive expert guidance to optimize your professional profile for recruiters.
- Mock Interviews: Practice with industry professionals to sharpen your interview skills.
- 1:1 Career Guidance and Mentorship: Get tailored guidance from AI-ML experts to steer your career in the right direction.
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.
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4.72 ( 12836 Ratings )
Application Closes
12th Mar 2026
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Delivered in Collaboration with:
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 14+ countries in achieving positive outcomes for their career growth.
Batch Profile
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.
The PGP-Artificial Intelligence and Machine Learning class comes from some of the leading organizations.
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