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Empower your workforce with programs from leading universities

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Top rated AI course for leaders

Top rated AI course for leaders

Application closes 14th May 2026

What’s new in this online course?

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    Modules on Generative AI for NLP

    Master generative AI for NLP, covering model design, fine-tuning, and real-world applications, with a focus on data, computation, and ethics.

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    No code prompt engineering modules

    Learn prompt engineering without coding, focusing on crafting effective prompts for AI models. Explore techniques to optimize model outputs and solve problems across various applications

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Program Outcomes

Master AI for business strategy without coding

Become a leader in AI & drive business growth

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    Gain strategic insights to manage and execute AI projects effectively

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    Explore AI’s transformative potential across diverse business scenarios

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    Build innovative AI-powered products and services to drive growth

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    Lead and collaborate with cross-functional teams for seamless AI integration

Earn a postgraduate certificate from The University of Texas at Austin

  • #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 for leaders program

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    Learn from world’s top university

    Earn a certificate from a world-renowned university, taught by top faculty

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    Industry-ready curriculum

    The GenAI Modules empower business managers to leverage generative AI for innovation, strategic decisions, and driving organizational growth.

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    4 hands-on projects

    Work on four hands-on projects and a capstone project under industry experts’ guidance, applying your learning to solve real-world business problems.

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    Get expert mentorship

    Interact with mentors who are experts in AI and get guidance to complete and showcase your projects

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    Personalized program support

    Get 1:1 personal assistance from a Program Manager to complete your course with ease.

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    No code approach

    Leverage no-code tools to make better predictions and improve decision-making

Skills you will learn

AI Strategy Development

Generative AI Expertise

AI Project Estimation

POC Development

Machine Learning

Deep Learning

Build vs. Buy Decision-Making

Prompt Engineering

Strategic MLOps and LLMOps

Building and Scaling AI Teams

AI ROI Assessment

AI Ethics and Governance

AI-Driven Decision Making

AI Strategy Development

Generative AI Expertise

AI Project Estimation

POC Development

Machine Learning

Deep Learning

Build vs. Buy Decision-Making

Prompt Engineering

Strategic MLOps and LLMOps

Building and Scaling AI Teams

AI ROI Assessment

AI Ethics and Governance

AI-Driven Decision Making

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  • Overview
  • Learning Path
  • Curriculum
  • Projects
  • Tools
  • Certificate
  • Faculty
  • Mentors
  • Reviews
  • Fees
  • FAQ
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This program is ideal for

Leaders who want to empowers by leverage AI for strategic decision-making and business growth

View Batch Profile

  • Business Leaders

    Leverage the power of AI in building products and services to grow your business and make profit

  • Operations, Delivery, and Product Managers

    Launch new products in the market swiftly and successfully and boost customer experience

  • Entrepreneurs and Consultants

    Build working prototypes for your business, without depending on large data teams

  • Working Professionals and Marketers

    Lead AI and data-driven teams and build innovation initiatives using AI technologies

Experience a unique learning journey

  • 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

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On-Campus Immersion (Optional Paid Program)

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AI for Leaders with On-Campus Immersion

In the 3-day immersive on-campus program, you will:

  • Connect with like-minded AI-professionals
  • Engage with world-class faculty
  • Learn first-hand from global industry experts
  • Earn 5.5 Continuing Education Units (CEUs) upon program completion

Reach out to your Program Advisor for more details

Curriculum

Our curriculum has been carefully-crafted to provide you with the breadth and depth you need to make smarter business decisions, lead AI teams, and devise an AI strategy for your organization. Accordingly, it covers the most business-relevant technologies and diverse industry applications to turn you into an AI-empowered leader.

Course 1 | The Business of AI

Business of AI

- Introduction to Artificial Intelligence - Explosion in Artificial Intelligence - Business Applications and Limitations - Building AI Project, ROI Calculation

Building POC for AI Project

- Company - Vision, Mission and Objective - Solution at a Glance, Market Potential - Barriers to Entry - Threats and Opportunities - Competitors Analysis - Target Customers - Requirement of Data and People - Product Development Roadmap - Expansion Plan, Business Plan - AI Techniques and their Implementation - Domains and their Adoptions - Identify AI Use Cases

Course 2 | Data Modeling

Data Visualization

- What is Data and it's Types - Use of Data - Different Types of Data Objects - Understanding Visual Metrics

Linear Regression

- Introduction to Machine Learning - Introduction to Regression - Multivariate Linear Regression - Categorical Independent Variables in Regression - Evaluation Metrics

Course 3 | Machine Learning and Deep Learning

Classification with Ensemble Techniques

- Introduction to Classification - Decision Trees - Classification Model Evaluation Techniques - Pruning - Ensemble Techniques: Random Forests

Neural Networks

- Introduction to Neural Networks - Activation Functions - Feed Forward Neural Network - Topology of a Neural Network - Error and Loss Function - Training a Neural Network - Optimization - Gradient Descent and Backpropagation - Learning Rate and Momentum

Course 4 | Discovering Patterns in Data

Clustering

- Introduction to Clustering - K-means Clustering - Importance of Scaling - Applications of Clustering - Advantages and Disadvantages of K-means Clustering - Visual Analysis of Clustering - Dynamic Clustering - Principal Component Analysis - Dimensionality Reduction

Recommendation System

- Introduction to Recommendation System - Content-based Filtering - Collaborative Filtering - Similarity Measures - The Case of Recommending Songs - Hybrid Systems and other methods

Course 5 | Generative AI and Agentic AI

Foundations of Generative AI

- Introduction to Generative AI - Supervised and Unsupervised Learning - Discriminative vs Generative AI - History of GenAI - Introduction to LLMs - How does the Model Understand the Text - How does the Model Predict the Next Word - Why do Language Models Hallucinate Business Problems Solved by GenAI

Agentic AI Leadership

- Discussion on Large Language Models - Introduction to AI Agents - Exploring AI Agent Architectures - Enhancing AI Agents with Memory - Introduction to Model Context Protocol (MCP) Servers - Hands-on Building of AI Agents Using n8n

Course 6 | Building AI-First Organization

Implementing Generative AI in Your Organization

- Generative AI for Business Value - A Decision Calculus to Prioritize GenAI Use Cases - Generative AI Application Architecture - Model Selection, Customization, and Fine-Tuning - Data and Infrastructure Requirements - Total Cost of Ownership - Integration with Existing Systems - Constraints and Challenges Driving Development and Adoption - GenAI Implementation Roadmap

Building AI Teams

- Tasks Involved in AI Projects - Key Roles and Responsibilities in AI Teams - Leadership Roles in AI Teams - AI Team Dynamics - Recruiting Talent: Talent Supply Chain - Upskilling AI Teams - Scrum and Agile Project Management - Performance Management of AI Teams - Change Management for AI Teams Fostering Collaboration in AI Teams

Course 7 | Capstone

You will gain hands-on experience working on a real-time project under the guidance of industry experts, learning to apply AI to solve real business problems. As an AI-powered business leader, you will study the market for opportunities and pitch a business plan for an AI-based product. This includes preparing a market study (market size, competition, and consumer insights), a product requirement document (data and people), a roadmap for implementation, financial projections, business impact, and other key elements.

Self-Paced Modules

Claude-Based AI Workflows

- Design and Execute AI Workflows - Model selection and prompt engineering using Claude Chat - Agentic workflow design and orchestration using Claude CoWork - Plan → Approve → Execute → Iterate framework - Designing workflows with reasoning, tools, and multi-step execution - Applying concepts through real-world case studies *Disclaimer: Claude API access is not included as part of the program. Learners may explore advanced usage independently.

Prompt Engineering and RAG

- Introduction to Prompt Engineering - Zero-Shot and Few-Shot Prompting - Chain-of-Thought Prompting - Comparing Prompting Techniques - A Checklist and Workflow for Prompting - Limitations of LLMs - What Is RAG (Retrieval-Augmented Generation), Prompt Engineering for RAG, and Hands-on Use Cases

Computer Vision

- Introduction to Computer Vision - Types of Computer Vision problems - Pixel - How does a computer see an image - 3D Images, Resolution, ImageTransformations - Convolution - Pooling - Significance of Convolution & Pooling - Convolutional Neural Networks - Case studies

AI in Practice

- Applications of Transfer Learning - Dealing with Imbalanced Data: - Data Augmentation - Model Deployment - Modes of Training - Serialization of Models - Model Monitoring and Recalibration

Hands-on projects

Implement your skills alongside established leaders and fellow learners from around the world

  • 20+

    case studies

  • 1 team

    Capstone project

  • 4

    real-world projects

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Any Industry based on your choice

Building POC for AI Project

Description

The project involves ideating an AI product and building its POC, including the problem statement, proposed solution, validation metrics, market analysis, and timelines for implementing the project.

Skills you will learn

  • Market Analysis
  • Building Roadmap
  • AI Project Estimation
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Finance

ShowTime

Description

The project involves building classification and regression models to redefine the loan approval and loan pricing strategy to minimize loss due to loan default for an auto finance company.

Skills you will learn

  • Data Visualization
  • Exploratory Data Analysis
  • Linear Regression
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Sales Lead Conversion Prediction

Neural Networks and Ensemble Techniques

Description

Build a classification model to predict the conversion of sales leads enabling the company to optimize resource allocation.

Skills you will learn

  • Decision Trees
  • Random Forest
  • Model Evaluation
  • Classification
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Discovering Patterns in Data

Customer Segmentation

Description

Identify the various segments of customers to expand its credit card customer base by targeting new customers and upselling to existing customers.

Skills you will learn

  • K-Means Clustering
  • Exploratory Data Analysis
  • Data Preprocessing
  • Cluster Profiling
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Retail

GenAI-powered Review Categorization

Description

The project involves analyzing the customer review and using the prompt engineering technique in conjunction with the Generative AI model to categorize the articles, predict the sentiment, and generate a first response to the customer based on the sentiment of the review. This data-driven approach empowers businesses to enhance customer experiences, drive growth, and cultivate enduring relationships with their clientele in today's fast-paced business environment.

Skills you will learn

  • Prompt Engineering
  • Large Langauge Models
  • Natural Language Processing
  • Classification

Learn in-demand AI tools and techniques

Leverage industry-relevant tools and techniques to maximize learning outcomes

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    KNIME

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    n8n

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    ChatGPT

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    Gemini

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    NotebookLM

Earn your certificate from The University of Texas at Austin

Get a PG certificate from one of the top universities in USA and showcase it to your network

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* Image for illustration only. Certificate subject to change.

Meet your faculty

Learn from the top World-renowned faculty

  • 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.

    Know More
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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. Pavankumar Gurazada - Faculty Director

    Dr. Pavankumar Gurazada

    Senior Faculty, Academics, Great Learning

    15+ years of experience in marketing, digital marketing, and machine learning.

    Ph.D. from IIM Lucknow; MBA from IIM Bangalore; IIT Bombay graduate.

    Know More
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Interact with our industry mentors

Interact with dedicated mentors who are practitioners and experts in Agentic AI

  •  Georg Huettenegger  - Mentor

    Georg Huettenegger linkin icon

    Generative and Conversational AI Leader, Deloitte Consulting
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  •  Dr. Sunil Kumar Vuppala  - Mentor

    Dr. Sunil Kumar Vuppala

    AI Partner, ArisGlobal
    Company Logo
  •  Randhir Agarwal  - Mentor

    Randhir Agarwal

    Director, Data Science & Data Engineering, Samsung Electronics
    Samsung Electronics Logo
  •  Balachandra Deshpande  - Mentor

    Balachandra Deshpande

    Head of Data Science, Enterprise Minds, Inc
    Enterprise Minds, Inc Logo
  •  G Anthony Reina  - Mentor

    G Anthony Reina linkin icon

    Head of Machine Learning,, BioTech Startup
    Company Logo
  •  Jeremy Samuelson  - Mentor

    Jeremy Samuelson

    Executive VP, AI and Innovation, Integrated Quantum Technologies
    Company Logo

Watch inspiring success stories

Our learners experience

  • learner image
    Watch story

    "A comprehensive program that builds strong foundations, real-world expertise, and client-focused solutions"

    This program offers exceptional AI content, expert mentorship, and practical skills, helping me master AI foundations, implement solutions, and deliver greater value to my clients.

    Tauhid Abddul Jalil

    Principal Solutions Consultant , Laiye

  • learner image
    Watch story

    "Expert-led mentorship, specialized sessions, and real-world projects make this program perfect for AI leaders"

    This program, designed for leaders, offers expert-led mentorship, hands-on projects, and in-depth AI learning, helping me explore diverse AI applications and advance my career.

    Usha Boddapu

    CEO/Founder , Esolvit Inc.

  • learner image
    Watch story

    "This course delivered real-world AI knowledge, expert support, and the flexibility to balance work and study"

    This comprehensive AI program, with expert mentorship and hands-on learning, provided real-world knowledge and flexibility to balance work, enhancing my career and AI application skills.

    Gregory Thompson

    Vice President Supply Chain , Carnival Cruise Line

Course Fees

The course fee is USD 3,100

Invest in your career

  • benifits-icon

    Gain strategic insights to manage and execute AI projects effectively

  • benifits-icon

    Explore AI’s transformative potential across diverse business scenarios.

  • benifits-icon

    Build innovative AI-powered products and services to drive growth

  • benifits-icon

    Lead and collaborate with cross-functional teams for seamless AI integration.

Take the next step

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Unlock exclusive course sneak peek

Application Closes: 14th May 2026

Application Closes: 14th May 2026

Talk to our advisor for offers & course details

Admission Process

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.

  • steps icon

    2. Interview Process

    A panel from Great Learning will review your application to determine your fit for the program.

  • steps icon

    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

Batch start date

  • Online · 16th May 2026

    Admission closing soon

Got more questions? Talk to us

Connect with our advisors and get your queries resolved

Speak with our expert +1 512 883 2893 or email to aifl.utaustin@mygreatlearning.com

career guidance

Frequently asked questions

Program Details
Admissions & Eligibility
Fee & Payment
Program Details

What is the role of the University of Texas at Austin in the PG Program Artificial Intelligence for Leaders?

The PG Program in Artificial Intelligence for Leaders (PGP-AIFL) curriculum has been designed by the McCombs School of Business at the University of Texas at Austin. Award-winning faculty members from UT Austin and leading AI practitioners have developed the content and assessments for this program. All participants who successfully complete the program get a certificate from the University of Texas at Austin.

What is meant by “mentored learning sessions”?

Mentored learning sessions connect you directly with industry experts and practitioners in AI, Machine Learning, and Deep Learning through live virtual sessions. You will participate in small-group, weekend sessions to explore the practical application of concepts while obtaining industry context and solving challenging topics.

Will the content be available after the program is completed?

Yes, all learning materials—including lecture notes, online content, and supporting resources—will be available through the online platform for one year following the completion of the program.

How will I be evaluated during the program?

You will be evaluated through assessments, quizzes, attendance, and projects. All these methods allow tracking your progress towards achieving desired learning outcomes.

What are some of the key case studies covered in this program?

The program covers key case studies from industries like financial services, healthcare, retail, and e-commerce. Led by AI practitioners, these case studies explore real-world applications of AI. Learners gain practical insights into how AI is implemented to solve challenges across various sectors.

Will I receive a transcript or grade sheet after completion of the program?

No, the PGP-AIFL is an online professional certificate program offered by the McCombs School of Business at The University of Texas at Austin. As it is not a degree or full-time program, transcripts or grade sheets are not issued by the university. However, you will receive marks for each assessment to gauge your understanding and for each module to determine your eligibility for the certificate. 

Upon successful completion of the program, including meeting all eligibility criteria, you will be awarded a certificate of completion by the McCombs School of Business at The University of Texas at Austin.

What is the required weekly time commitment?

Each week, the program requires approximately 2-3 hours of recorded lectures and a 2-hour live virtual class or industry mentor session on weekends, including hands-on practical applications and problem-solving. The program consists of 1 hour every week for practicing assessments and exercises. Depending on your background, you should dedicate 2 to 4 hours weekly to self-study and practice. You would need to commit approximately 8-10 hours per week to this program.

Admissions & Eligibility

What is the eligibility for the program?

The PGP-AIFL is a hands-on program designed for senior professionals. Applicants should have a Bachelor's degree with a minimum of 50% aggregate marks or equivalent. The curriculum of the program is tailored for leaders aspiring to gain sufficient AI comprehension for informed decision-making. You should be able to understand and express yourself well in both written and spoken English to fully benefit from the program.

What is the admission process?

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


1. Fill out the application form

Apply by filling out a simple online application form.


2. Interview Process

Participate in a screening call with Great Learning to assess your program fit.


3. Join the program

Selected candidates will receive an offer letter. Secure your seat by paying the admission fee.

How can I apply for this program?

You can complete the online application form if you are interested in the program. For any help or support regarding the application process, please contact aifl.utaustin@mygreatlearning.com.

Fee & Payment

What are my payment options?

Candidates can pay the course fee through Bank Transfer orCredit/Debit Cards. There are also installment plans available. For further details, please get in touch with us at aifl.utaustin@mygreatlearning.com

What is the refund policy?

1) A full refund will be issued only if the cancellation request is made within 48 hours of enrollment.


2) Admission Fee – The admission fee is non-refundable if cancellation is requested after 48 hours of enrollment.


3) For fees paid in addition to the admission fee:


  • Refund or dropout requests made more than 4 weeks before the commencement date are eligible for a full refund of the amount paid in addition to the admission fee.

  • Refund or dropout requests made more than 2 weeks before the commencement date are eligible for a 75% refund of the amount paid in addition to the admission fee.

  • Refund or dropout requests made more than 24 hours before the commencement date are eligible for a 50% refund of the amount paid in addition to the admission fee.


4) Requests received after the commencement date are not eligible for a refund.


5) Cancellation requests must be submitted in writing to the program office.

PG Program in AI for Leaders

Artificial intelligence has progressively expanded its influence over enterprises worldwide, resulting in a steady demand for AI professionals. While the emphasis has been on the opportunities for trained professionals, their efforts must still be oriented towards competitive business results. Modern organizations should take advantage of the skills and expertise of emerging AI professionals to maximize productivity and achieve market leadership. 

The Post Graduate Program in Artificial Intelligence for Leaders, designed by UT Austin in collaboration with Great Learning, is a four-month comprehensive online program for business leaders to leverage data and AI to make informed strategic business decisions. The course is intended for non-technical corporate executives who desire to employ AI to improve their routine decision-making and eventually become business leaders. It is also for product managers, directors, category managers, CXOs, delivery managers, senior managers, and team leaders looking to further their careers are among the pertinent profiles. The course emphasizes a theoretical and case-based approach that helps to simulate operational instances where AI can be used to enhance corporate goals.

AI for Business Leaders Course Highlights

You can be convinced that you are learning from world-class academia with a proven track record of significant accomplishments, innovative research, and instructional practices. Industry experts lead the program with trained data analysts to guarantee that you succeed and are prepared for employment right after completion.

Learning Format

Learn from the best academia and take part in mentored learning sessions from industry experts. 

Learn from Case Studies

Understand various industry-relevant case studies and develop a comprehensive understanding of the business context. 

Industry-relevant Projects

Learn and develop industry-relevant AI projects with no prior coding expertise. Evaluate your learning by working on various capstone projects.

Understand Artificial Intelligence

Acquire industry-ready knowledge and work with modern applications of Artificial intelligence. . Be future-ready by helping organizations unleash the potential of emerging technologies like artificial intelligence in management and key business areas.

Certificate from renowned University

Earn a certificate from The University of Texas at Austin upon completing the AI for Leaders program. 

Program Design 

This 4-month program is delivered through 4 industry and 8 mentored online sessions, 1 capstone, and 5 curriculum pertinent projects to help you acquire industry-ready skills. 

It includes 5 modules covering AI through data, Supervised Learning, Neural Networks and Ensemble Techniques, Unsupervised Learning, Deep Learning (CV and NLP), and projects to help you get hands-on experience working with AI for management tasks. 

Get the UT Austin’s Advantage of Learning AI for Business Leaders 

With 51,000+ students and 3000+ world-class faculty members, the McCombs School of Business at the University of Texas at Austin is an esteemed business school and a renowned public research university. The University of Texas at Austin is distinguished as a leader in social science, business, technology, and science worldwide. Through top-notch instruction, hands-on learning, and the pursuit of vital, ground-breaking research, it fosters the development of ideas and breakthrough revolution in AI for business leaders. You may be assured that you benefit from top academicians and researchers with proven track records, innovative research, and creative teaching techniques.

The University of Texas at Austin is graded sixth overall in business analytics in the QS World University Rankings 2021. U.S. News & World Report has undeviatingly ranked the University among the top 20 public universities in the country owing to its 40+ postgraduate programs and 15 undergraduate programs that rank among the top universities. The University also offers AIML PG Program to those seeking to pursue an established career in the domain. (Explore AI ML PG Program)

Who is this program for?

The program is ideal for professionals seeking to secure a variety of positions driving AI, including Product Manager, Business Head, Delivery Manager, Account Manager, Team Lead, Engineering Manager, Data Science Consultant, Marketing Manager, and R&D Manager. The AI for leaders course is intended to teach corporate executives to use AI in manufacturing, providing services, or assisting clients. The curriculum will employ case studies and practical examples to equip you with industry-ready applications and use-cases. It will address fundamental ideas in machine learning and artificial intelligence, allowing learners to gain an intuitive understanding without being overly focused on complex technical specifics.

This intensive program will help business leaders to:

  • Acquire adequate knowledge about AI to make informed decisions.
  • Develop skills to define the scope and gain proficiency in managing AI projects.
  • Promote revolutionary initiatives to clients and stakeholders and deliver AI project ideas to internal and external audiences.
  • Lead technical teams throughout the AI project lifecycle.
  • Make prudent choices while selecting tech stacks or products.
  • Implement solutions through artificial intelligence in business management. 
  • Assist new businesses in creating AI-enabled products and services.