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Top-Rated AI & Machine Learning Course
Application closes 28th May 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
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.