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Top-Rated AI & Machine Learning Course

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.

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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.

  • #1 (U.S., Big Data Management) in MS Business Analytic

    #1 (U.S., Big Data Management) in MS Business Analytic

    Eduniversal (2025)

  • #6 Analytics

    #6 Analytics

    U.S. News & World Report (2025)

  • #6 Business Programs

    #6 Business Programs

    U.S. News & World Report (2025)

  • #7 in MS - Business Analytics

    #7 in MS - Business Analytics

    QS World University Rankings (2022)

  • #7 in MS Business Analytics

    #7 in MS Business Analytics

    The Financial Engineer Times (2025)

  • #3 in Information Systems Graduate Programs

    #3 in Information Systems Graduate Programs

    U.S. News & World Report (April 2025)

  • #7 Public University in the U.S.

    #7 Public University in the U.S.

    U.S. News & World Report, 2026

  • #6 in Executive Education - Custom Programs

    #6 in Executive Education - Custom Programs

    Financial Times, 2022

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?

  • 170 million

    New roles created by 2030

  • Up to $ 165K

    Median Annual Base Salary

  • $15.7 trillion

    Projected economic value of AI by 2030

  • 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.

  • AI Engineer

  • Machine Learning Engineer

  • AI Research Scientist

  • Prompt Engineer

  • Big Data Engineer

  • NLP Engineer

  • Deep Learning Engineer

  • Business Intelligence Developer

  • AI Consultant

  • Computer Vision Engineer

Our alumni work at top companies

  • Overview
  • Learning Journey
  • Curriculum
  • Projects
  • Tools
  • Certificate
  • Faculty
  • Mentors
  • Reviews
  • Career Support
  • Fees
  • FAQ
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Who is the program for?

Professionals transitioning into AI roles or implementing AI in current roles, without a coding background.

View Batch Profile

  • Tech Practitioners

    Build hands-on AI & ML skills to create, evaluate, and deploy intelligent solutions, and transition into high-growth AI powered roles.

  • Technical Leaders

    Build the strategic and technical depth to lead teams, guide implementation, and scale AI initiatives across your organization.

  • 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.

  • 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

Get an exclusive preview of the course

Explore faculty videos and mentorship sessions. Get insights into relevant case-studies and projects.

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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.

  • 4

    Hands-On Projects

  • 30+

    Real-World Case Studies

  • 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

- Introduction to the World of Data and AI - Python Programming Fundamentals - The Generative AI and Agentic AI Landscape

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

- Python Programming With Generative AI - Data Manipulation and Exploratory Data Analysis

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

- Linear Regression - Decision Trees - K-Means Clustering - Ensemble Techniques - Neural Networks

Learning Break Week

Dedicated learning break to revise key concepts and prepare for the week ahead.

Hands-On Project

Apply your learning by working on hands-on projects using industry-relevant tools and technologies.

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

- Large Language Models and Prompt Engineering - Evaluating Generative AI Workflows - Retrieval-Augmented Generation - Responsible AI

Learning Break Week

Dedicated learning break to revise key concepts and prepare for the week ahead.

Hands-On Project

Apply your learning by working on hands-on projects using industry-relevant tools and technologies.

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

- Single-Agent Systems - Multi-Agent Systems - Evaluating Agentic AI Systems

Hands-On Project

Apply your learning by working on hands-on projects using industry-relevant tools and technologies.

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

- ML Model Deployment - Deploying GenAI Solutions

Hands-On Project

Apply your learning by working on hands-on projects using industry-relevant tools and technologies.

What case studies & projects will you solve?

Work on real-world case studies across industries & functions using 30+ tools and technologies.

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RETAIL

Retail Order Query Chatbot

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

  • LangGraph
  • LangChain
  • LangSmith
  • Multi-agent System
  • OpenAI API
  • Agentic AI
  • Chatbot Development
  • Python
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FINANCE

Data-Driven Insights for Credit Card Eligibility

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

  • Exploratory Data Analysis
  • Data Visualization
  • Pandas
  • Seaborn
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TRANSPORTATION

Ride-Sharing Demand Analysis

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

  • Python
  • Google Colab
  • Pandas
  • Seaborn
  • Gemini
  • ChatGPT
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FINANCE

Credit Card Fraud Detection

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

  • Exploratory Data Analysis
  • Neural Networks
  • TensorFlow
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INSURANCE

Insurance Premium Prediction

Description

Analyze customer and policy data to identify key factors influencing insurance costs, and build a predictive model to estimate premiums, enabling more accurate pricing and risk assessment.

Skills you will learn

  • Python
  • Google Colab
  • Pandas
  • Seaborn
  • Sklearn
  • Gemini
  • ChatGPT
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TRANSPORTATION

Shared Bike Demand Prediction

Description

Analyze customer and usage data from a bike-sharing system to identify demand patterns and build a predictive model to forecast bike usage, enabling better planning for peak hours and resource allocation.

Skills you will learn

  • Python
  • Google Colab
  • Pandas
  • Seaborn
  • Sklearn
  • Gemini
  • ChatGPT
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CUSTOMER SUPPORT

Intelligent Support Ticket Categorization

Description

Leverage NLP and Generative AI techniques to classify support tickets, extract key issues, and prioritize them using sentiment signals, enabling faster response times and improved customer support efficiency.

Skills you will learn

  • Python
  • Google Colab
  • OpenAI APIs
  • Hugging Face
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FINANCE

Stock News Sentiment Analysis

Description

Analyze financial news and market data to build an AI-driven system that extracts sentiment from news articles and generates summarized insights, enabling analysts to make more informed investment decisions.

Skills you will learn

  • Python
  • Google Colab
  • OpenAI APIs
  • Hugging Face
  • DSPy
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HEALTHCARE

Clinical Decision Support Assistant

Description

Build a retrieval-augmented AI system that accesses trusted medical knowledge to answer clinical queries and support evidence-based decision-making, improving diagnostic efficiency and treatment outcomes.

Skills you will learn

  • Python
  • Google Colab
  • Hugging Face
  • LangChain
  • ChromaDB
  • Sentence Transformers
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MANUFACTURING

Predictive Maintenance for Machine Health

Description

Analyze equipment data from a manufacturing setup to identify patterns leading to machine failures, build a predictive model to detect potential breakdowns, and generate insights to optimize maintenance and reduce operational costs.

Skills you will learn

  • Python
  • Google Colab
  • Pandas
  • Seaborn
  • Sklearn
  • Gemini
  • ChatGPT
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TELECOMMUNICATIONS

AI-Powered Telecom Policy Assistant

Description

Build an AI-powered assistant that leverages natural language queries and retrieval from policy documents to deliver accurate, compliant responses on plans, data limits, roaming, and refunds.

Skills you will learn

  • Python
  • Google Colab
  • LlamaGuard
  • OpenAI API
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FINANCE

Reimbursement Automation

Description

Leverage AI to extract key information from receipts, categorize expenses, and validate reimbursement requests against policy guidelines, improving accuracy and streamlining financial operations.

Skills you will learn

  • LangGraph
  • LangChain
  • Single-agent System
  • MCP
  • OpenAI API
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CUSTOMER SUPPORT

AI Helpdesk Copilot

Description

Implement an agentic AI system to classify support tickets, retrieve relevant knowledge, and generate grounded, policy-compliant responses with explainable reasoning and automated escalation.

Skills you will learn

  • LangGraph
  • LangChain
  • LangSmith
  • Multi-agent System
  • OpenAI API
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LOGISTICS

AI-Powered Shipment Disruption Router

Description

Implement a multi-agent AI system to analyze shipment disruptions, retrieve policy-based mitigation rules, and generate validated routing decisions with escalation for high-risk scenarios, ensuring operational efficiency and auditability.

Skills you will learn

  • LangGraph
  • LangChain
  • LangSmith
  • Multi-agent System
  • OpenAI API
  • Human-in-the-Loop Evaluation
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HOSPITALITY

Rental Price Prediction for Short-Term Stays

Description

Analyze listing and demand data from a short-term rental platform to build and deploy a machine learning model for dynamic pricing, enabling optimized pricing strategies and improved revenue management.

Skills you will learn

  • Python
  • Google Colab
  • Scikit-Learn
  • Streamlit
  • Hugging Face
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EDUCATION

LLM-Powered Research Paper Assistant

Description

Implement and deploy a retrieval-augmented AI system to enable natural language querying of research papers, retrieve relevant content, and generate grounded responses to accelerate literature review and insight discovery.

Skills you will learn

  • Python
  • Google Colab
  • Scikit-Learn
  • Streamlit
  • Hugging Face
  • OpenAI API
  • ChromaDB
  • LangChain

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.

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    n8n

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    Claude

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    OpenAI APIs

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    LangChain

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    LangGraph

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    LangSmith

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    MCP

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    ChatGPT

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    TensorFlow

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    ChromaDB

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    Scikit-Learn

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    Keras

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    Pandas

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    NumPy

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    Seaborn

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    SQL

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    Hugging Face

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    DSPy

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    Statsmodels

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    OpenCV

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    NLTK

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    SpaCy

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    Docker

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    Flask

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    Streamlit

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    Gemini

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    Dall.E

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    Whisper

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    Python

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    Matplotlib

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    Sentence Transformers

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.

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* 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.

  • Dr. Kumar Muthuraman - Faculty Director

    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.

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  • Dr. Abhinanda Sarkar  - Faculty Director

    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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  • Dr. Bradford Tuckfield - Faculty Director

    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
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  • Mr. Faraaz Ahmed Sheriff  - Faculty Director

    Mr. Faraaz Ahmed Sheriff

    Senior Data Scientist

    Expert in advanced analytics and evidence-based decision-making.

    Extensive experience consulting for Fortune 500 companies.

    Know More
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  • Davood  Wadi - Faculty Director

    Davood Wadi

    AI Research Scientist, intelChain

    Know More
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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.

  •  Prabhat Bhattarai - Mentor

    Prabhat Bhattarai linkin icon

    Data Scientist Apple
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  •  Priyanka Singhal  - Mentor

    Priyanka Singhal linkin icon

    Assistant Vice President (AI Research), US Bank
    Company Logo
  •  Evans Otalor - Mentor

    Evans Otalor linkin icon

    Chief Data Officer at Bahcode
    Company Logo
  •  Ajay Purushothaman Thundathil - Mentor

    Ajay Purushothaman Thundathil linkin icon

    Senior Data Scientist, Verizon Media
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  •  Franck Tchuente - Mentor

    Franck Tchuente linkin icon

    Senior Data Scientist Paper
    Paper Logo
  •  Asghar Mohammadi - Mentor

    Asghar Mohammadi linkin icon

    Senior Data Scientist Cvent
    Cvent Logo
  •  Marcelo Guarido de Andrade - Mentor

    Marcelo Guarido de Andrade linkin icon

    Research Assistant at University of Calgary University of Calgary
    University of Calgary Logo
  •  Omid Badretale - Mentor

    Omid Badretale linkin icon

    Senior Research Data Scientist | Alternative Data RBC Capital Markets
    RBC Capital Markets Logo

Watch inspiring learner success stories

Hear learners share their experiences, insights, and outcomes from the course.

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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

  • learner image
    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

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.

  • benifits-icon

    Earn a globally recognized Texas McCombs certificate and CEUs to validate your AI expertise.

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Easy payment plans

Avail our EMI options & get financial assistance

  • INSTALLMENT PLANS

    Upto 3 months Installment plans

    Explore our flexible payment plans

    View Plans

  • discount available

    Upfront Discount: USD 3,950 USD 3,750

    Referral Discount: USD 3,950 USD 3,800

Third Party Credit Facilitators

Check out different payment options with third party credit facility providers

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*Subject to third party credit facility provider approval based on applicable regions & eligibility

Take the next step

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Unlock exclusive course sneak peek

Application Closes: 28th May 2026

Application Closes: 28th May 2026

Talk to our advisor for offers & course details

What is the Admission Process for the program?

Admissions close once the required number of participants enroll. Apply early to secure your spot

  • steps icon

    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

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.

Got more questions? Talk to us

Connect with our advisors and get your queries resolved

Speak with our expert +1 512 861 6570 or email to aiml.utaustin@mygreatlearning.com

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