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Top-Rated AI & Machine Learning Course
Application closes 4th Jun 2026
Why should you join the PGP-AIML program?
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Comprehensive, Unmatched AI Program
End to End Curriculum: Learn AIML foundations, GenAI, and Agentic AI from Texas McCombs faculty and industry practitioners. Apply your learning through hands-on projects, case studies, and 30+ tools.
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Texas McCombs is a top ranked US University
Ranked #1 in the U.S. for Information Systems, #6 for Master’s in Business Analytics, #7 for Artificial Intelligence, and #9 for Business Analytics.
Learning Outcomes
What will you build in the PG Program in AI & ML?
Through a structured, hands-on learning journey, you will build:
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Machine learning and Deep learning models using Python scikit-learn, and TensorFlow
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GenAI and RAG pipelines using ChromaDB, Hugging Face, and vector databases
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Single- Agent and Multi Agent Systems and AI workflows using LangChain, DSPy, Claude, and OpenAI API.
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Interactive Front-end web applications of the deployed models using Docker and Streamlit.
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Strategic judgement and technical intuition to evaluate AI outputs
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Reliable and scalable AI solutions that meet business requirements
Earn a certificate of completion and CEUs from Texas McCombs, a top-ranked U.S. University.
Key program highlights
Why choose the AI & ML program?
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Learn from Texas McCombs Faculty
Learn core concepts through recorded video lectures and deepen your perspective through monthly faculty-led masterclasses that connect theory to business application.
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Attend Weekly Live Mentorship Sessions with Industry Experts
Learn from AI practitioners in weekend live online mentorship sessions where you discuss case studies, see practical demos, clarify doubts, and understand how AI is applied.
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Build Hands-on Expertise to Solve Business Problems
Apply your learning through 4 hands-on projects and 30+ real-world case studies using industry datasets, 30+ cutting-edge tools, and personalized coding support.
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Build End-to-End AI & ML Expertise
Learn the full spectrum of AI & ML concepts, including Python, Machine Learning, Deep Learning, NLP, GenAI, Agentic AI, and more, through a hands-on, structured learning approach.
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Learn Without Disrupting Your Work Schedule
Access 200+ hours of learning content online, including lectures, assignments, and live webinars, anytime, anywhere.
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Get Personalized Program Support
Get 1:1 support from a dedicated Program Manager to stay on track and complete the program with ease.
What skills will you learn?
Generative AI
Large Language Models (LLMs)
Autonomous Agents (Single and Multi-Agent)
Agentic AI Workflows
Deep Learning
Predictive Modeling
Neural Networks
Natural Language Processing (NLP)
Computer Vision
Retrieval-Augmented Generation (RAG)
Vector Databases
Prompt Engineering
AI Model Evaluation
Responsible AI
AI Governance
Model Deployment
MLOps
TensorFlow
Python
LangChain
OpenAI API
Hugging Face
ChromaDB
Generative AI
Large Language Models (LLMs)
Autonomous Agents (Single and Multi-Agent)
Agentic AI Workflows
Deep Learning
Predictive Modeling
Neural Networks
Natural Language Processing (NLP)
Computer Vision
Retrieval-Augmented Generation (RAG)
Vector Databases
Prompt Engineering
AI Model Evaluation
Responsible AI
AI Governance
Model Deployment
MLOps
TensorFlow
Python
LangChain
OpenAI API
Hugging Face
ChromaDB
view more
What careers can AI & ML skills unlock?
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170 million
New roles created by 2030
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Up to $ 165K
Median Annual Base Salary
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$15.7 trillion
Projected economic value of AI by 2030
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30% CAGR
Projected AI market growth
Ready to move into AI & ML roles?
Build the skills to transition into AI & ML roles across US companies.
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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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AI Consultant
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Computer Vision Engineer
Our alumni work at top companies
- Overview
- Learning Journey
- Curriculum
- Projects
- Tools
- Certificate
- Faculty
- Mentors
- Reviews
- Career Support
- Fees
- FAQ
Who is the program for?
Professionals transitioning into AI roles or implementing AI in current roles, without a coding background.
View Batch Profile
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Tech Practitioners
Build hands-on AI & ML skills to create, evaluate, and deploy intelligent solutions, and transition into high-growth AI powered roles.
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Technical Leaders
Build the strategic and technical depth to lead teams, guide implementation, and scale AI initiatives across your organization.
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Product and Tech Enablement Professionals
Build a strong technical foundation, apply AI and ML to solve modern tech challenges, and evolve into an AI-native professional.
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Business Leaders and Functional Heads
Looking to implement AI within their function by building the technical understanding to apply AI to use cases and drive business impact.
How's the learning experience of the program?
Build strategic judgement and human intuition with our unique structured learning approach.
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Learn from Experts
Learn from Texas McCombs faculty and industry experts to master AI strategy and implementation.
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Learn By Doing
Work on business problems & case studies using 30+ tools & build an e-portfolio of AI projects
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Earn a University Credential
Earn a certificate of completion and Continuing Education Units (CEUs) from Texas McCombs.
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Get Support Throughout the Learning Journey
Program managers will help you stay on track, navigate key milestones & complete the program
What will you learn in the AI & ML Program?
Designed by Texas McCombs faculty, the curriculum helps professionals build practical AI capability and strategic judgment through hands-on projects, real-world case studies, and 30+ tools. Apply AI & ML techniques to solve business challenges, boost productivity, improve efficiency, automate workflows, and drive measurable impact at scale.
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4
Hands-On Projects
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30+
Real-World Case Studies
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30+
Tools and Technologies
Pre-Work
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.
Concepts Covered
Course 01: Python for AI Solutions
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.
Concepts Covered
Course 02: Predictive Modeling with Machine Learning and Neural Networks
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.
Concepts Covered
Learning Break Week
Hands-On Project
Course 03: Generative AI for Natural Language Processing
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.
Concepts Covered
Learning Break Week
Hands-On Project
Course 04: Agentic AI for Automation
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.
Concepts Covered
Hands-On Project
Course 05: Deploying AI Solutions
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.
Concepts Covered
Hands-On Project
What case studies & projects will you solve?
Work on real-world case studies across industries & functions using 30+ tools and technologies.
Which AI & ML tools will you learn and apply?
Learn 30+ tools like OpenAI, N8N, Hugging Face, Claude and more to build and optimize AI models and workflows.
Get a Certificate of Completion from Texas McCombs
Stand out in a competitive market with a Post Graduate Certificate in AI & ML that validates your AI expertise through rigorous, practical assessments.
* Image for illustration only. Certificate subject to change.
Who are the faculty for the program?
Learn from renowned Texas McCombs faculty and build technical intuition to make credible, strategic decisions.
Who are the mentors for weekly live sessions?
Learn from seasoned AI & ML mentors in weekly live sessions to apply concepts and build practical skills.
What support will you receive to advance in your career?
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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 and 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 of Hands-On Projects
Build an industry-ready portfolio to showcase your mastery of skills and tools
Course Fees
The course fee is USD 3,950
Invest in Long-Term Career Growth
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23-Week Online Comprehensive Journey: Build AI & ML depth across ML, Deep Learning, GenAI and Agentic AI.
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Structured Learning: Dedicate 8–10 hours weekly to faculty videos, mentor sessions, and hands-on AI projects.
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Dedicated Mentorship: Build practical AI skills in weekly live online sessions with top Industry Mentors.
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Earn a globally recognized Texas McCombs certificate and CEUs to validate your AI expertise.
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INSTALLMENT PLANS
Upto 3 months Installment plans
Explore our flexible payment plans
View Plans
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discount available
USD 3,950 USD 3,750
USD 3,950 USD 3,800
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
What is the Admission Process for the program?
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 · To be announced
Admissions Open
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.
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 170+ 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.