Post Graduate Program in Artificial Intelligence for Leaders

With On-Campus Immersion in Decision Science and AI (Optional Paid Program)

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logo On-Campus Immersion in Decision Science and AI (Optional Paid Program)
4.8/5 Trust Pilot Rating

4.8/5

Trustpilot

https://d1vwxdpzbgdqj.cloudfront.net/s3-public-images/placeholder.png Program Satisfaction

97%

Program Satisfaction

4.81/5 Course Report Rating

4.81/5

Course Report

*Ratings given by our worldwide learners to Great Learning

Top-Ranking AI Program, in Collaboration with:

#4

MS - Business Analytics
QS World

QS World University Rankings, 2024

#6

Executive Education - Custom Programs
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Financial Times,
2022

What Sets the PGP-AIFL Apart

Comprehensive Curriculum
  • Designed to cover business-relevant and strategic facets of AI
  • Learn through a uniquely crafted no code approach towards leveraging Artificial Intelligence for business
Read More
Live Sessions with Industry Experts
  • Gain industry insights and work on projects under the guidance of industry experts.
  • Additional industry sessions covering topics outside curriculum but crucial for today's business.
Read More
No Code Approach
  • Learn AI for business without delving into coding or programming.
  • Solidifying learnings with business relevant no-code AI projects.
Read More
Working Professional
Build sound foundations in AI for business: Machine Learning, Neural Networks, Deep Learning, and more
Career Support
50+ hours of live sessions with experts to build industry context
Industry Project
5 projects, 1 capstone project, and 8+ hands-on exercises for practical training
Salary Hike
9+ case studies and multiple industry applications to form a strategic understanding of AI

What is the No Code Approach?

There is significant interest in studying and utilizing machine learning and AI techniques across a variety of businesses. New no-code platforms are designed to enable various industries to create solutions, that would have previously required programming, using intuitive, interactive user interfaces allowing users to quickly classify information, perform data analysis, and create accurate data predictions with models. Business leaders can leverage the no-code tools to make better predictions and improve their decision-making.

Strategic AI Program for Business Leaders & Senior Managers

4 months | Online Mentorship

Certificate from The University of Texas at Austin

and 5.0 Continuing Education Units (CEUs)

zoom-icon AIFL certificate

All certificate images are for illustrative purposes only. The actual certificate may be subject to change at the discretion of the University.

Kumar Muthuraman

KUMAR MUTHURAMAN

Faculty Director, PGP-AIFL

H. Timothy (Tim) Harkins Centennial Professor Faculty Director, Center for Research and Analytics

texas austin logo

MS & PhD: Stanford University

For any feedback & queries regarding the program, please reach out to us at
MSB-AIML@mccombs.utexas.edu

Elevate Your Skills with On-Campus Immersion (Optional Paid Program)

UT Austin Logo

In the 3-day immersive on-campus program you can:

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    Connect with like-minded AI professionals.

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    Immerse in On-Campus Learning for 3 Days

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    Earn 1.9 Continuing Education Units (CEUs) on successful completion of the program

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    Create Intelligent Decision Science Systems

Curriculum

  • Curriculum designed by UT Austin-McCombs
  • Covers the most business-relevant technologies and diverse industry applications to turn you into an AI-empowered leader.

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.

Download Curriculum Download
MODULE 1: THE BUSINESS OF AI

Delve into AI project development, assess business impact, and explore case studies illuminating AI applications and limitations. Create effective POC (Proof of Concept) plans, understand market dynamics, and utilize data for decision-making steering the business into the future of AI. 
 

Understand the basics of AI and its rapid growth
Explore practical applications and limitations of AI in business
Engage in the step-by-step process of developing an AI project
Evaluate ROI, threats & opportunities
Develop a POC outline, evaluate solutions, and assess market potential
Create a roadmap for product development and expansion
MODULE 2: DATA MODELING

Develop skills in uncovering patterns and making informed, data-driven decisions. Explore Regression, including multivariate Linear Regression, and delve into classification using Logistic Regression. Gain practical insights for personalized solutions and unlock new possibilities within your data.

Understand data objects and visual metrics for data interpretation
Explore Data Visualization and manipulation using KNIME
Learn Machine Learning fundamentals and Regression techniques
Delve into Logistic Regression and evaluate classification models
Assess different performance measures—precision and recall
Engage in case study sessions with experts to apply concepts
MODULE 3: NEURAL NETWORKS & ENSEMBLE TECHNIQUES

Understand how neural networks mimic human thinking for better decision-making. Learn to build, train, and optimize neural networks, correcting prediction errors. Explore Decision Trees, including CART and pruning techniques, and advance to Random Forests for more accurate guesses.

Gain foundational knowledge on Neural Networks
Explore techniques for optimizing Neural Networks
Dive into Decision Trees and learn about Pruning techniques
Delve into Logistic Regression and evaluate classification models
Understand ensemble techniques as a powerful tool in Machine Learning
Solidify understanding of these concepts using case studies
MODULE 4: DISCOVERING PATTERNS IN DATA

Explore clustering to unveil hidden data patterns, mastering the grouping, scaling, and visualization of similar data points for strategic decisions. Dive into recommendation systems using content-based and collaborative filtering for anticipating customer preferences. Learn to leverage data for business growth and build effective systems.
 

Gain expertise in K-Means clustering, scaling, and visual analysis
Learn content-based and collaborative filtering
Understand similarity measures, and explore hybrid systems

     

     

Understand the real-world applications of clustering and reinforce knowledge
Understand ensemble techniques as a powerful tool in Machine Learning
Develop practical skills in applying clustering and recommendation systems
MODULE 5: DEEP LEARNING FOR LEADERS

Unlock insights with NLP tasks like sentiment analysis and machine translation. Develop practical models for data-driven decisions. Explore Computer Vision, decoding images and videos with transformative applications in self-driving cars and virtual reality, enhancing business with visual data.

Understand NLP fundamentals and methodologies for problem-solving
Learn techniques for text extraction and web scraping in NLP
Engage in the practical process of building NLP models
Explore basics of Computer Vision (CV) and its problem types
Delve into the workings of Convolutional Neural Networks in CV
Apply concepts through case studies and gain insights from experts
SELF-PACED MODULES
AI ESSENTIALS

    Concepts: Role of data, Statistical Techniques, Paradigms in Data Science, Data-Driven Solutions, Lifecycle of Solutions.

GENERATIVE AI

    Concepts: Introduction to Generative AI, Introduction to ChatGPT, Generative AI - Demos

BUILDING AI TEAMS

    Concepts: Service Vs Product Companies, AI Team Composition, Centralized Vs Distributed AI Teams, Handling Resistance, Handling Resistance From Management, Managing Portfolio of Projects, Scaling AI Teams

AI IN PRACTICE

    Concepts: Applications of Transfer Learning, Dealing with Imbalanced Data: Data Augmentation, Model Deployment, Modes of Training, Serialization, Model Monitoring and Recalibration.

CAPSTONE PROJECT

The capstone project represents the culmination of candidates' learning, demonstrating mastery of AI techniques. As an AI-enabled business leader, the task is to analyze market opportunities, propose a business plan for an innovative AI product, and present a comprehensive plan including market analysis, product requirements (data & personnel), implementation roadmap, financial projections, and business impact assessment.

CERTIFICATE OF COMPLETION FROM THE UNIVERSITY OF TEXAS AT AUSTIN and 5.0 Continuing Education Units (CEUs)

Upon the successful completion of the course, candidates gain a certificate from the prestigious University of Texas at Austin.

ON-CAMPUS IMMERSION IN DECISION SCIENCE AND AI (OPTIONAL PAID PROGRAM)

The Decision Science and AI is a 3-day on-campus Program that presents a valuable opportunity to explore AI use cases and become a driving force behind AI-driven initiatives within your organization. It comprises of dynamic discussions, collaboration with like-minded professionals, and engaging networking sessions hosted at the prestigious University of Texas at Austin.

Day 1
    • Welcome & Program Orientation
    • Introduction to AI Network Models- NNs to LLMs
    • Campus Tour & Group Photo
    • Large Language Models Deep Dive: How do they work & how do we work with them?
    • Designing Prompts for one-off Business Problems
Day 2
    • Introduction to Transformers
    • RAG & Vector Databases
    • RAG system- Q&A bot- Hands-on (Financial Filing of a public company)
    • The Art and Science of Negotiations
Day 3
    • Project Brief and Active group work
    • Group work on Project 
    • Group Departs from Austin Campus After Lunch

Hands-on Projects

Find below an indicative list of Hands-on projects our learners go through the course of the program.

1000+

Projects
completed

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22+

Domains

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Data Modeling

Loan Default Prediction

Build 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.
Learn more

Sales Lead Conversion Prediction

Neural Networks and Ensemble Techniques

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

Discovering Patterns in Data

Customer Segmentation

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

Deep Learning for Leaders

News Article Classification

Apply the NLP techniques to process the data and build a classification model to predict if the given article is relevant to the US economy or not such that the relevant articles can then be used for further analysis which will be helpful for investors to make investment decisions.
Learn more

Faculty and Industry Experts

20+

Professors

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2500+

Industry Mentors

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2

Award winning faculties

mentors icon

Learn from leading academicians in the field of Artificial Intelligence and Machine Learning and several experienced industry practitioners from top organizations.

Professor Dr. Kumar Muthuraman

Dr. Kumar Muthuraman

Professor, McCombs School of Business, UT Austin

McCombs School of Business, University of Texas at Austin Logo
Professor Jeremy Samuelson

Jeremy Samuelson

Principal Data Scientist & ML Engineer

Equifax Logo
Professor Randhir Agarwal

Randhir Agarwal

Director, Data Science

Company Logo
Professor Dr. Pavankumar Gurazada

Dr. Pavankumar Gurazada

Senior Faculty & Director Academics, Great Learning

Company Logo
Professor Balaji Sundararaman

Balaji Sundararaman

Ex Director, CyberPlat India

Professor Sunil Kumar Vuppala

Sunil Kumar Vuppala

Director-Data Science

Ericsson lgo Logo

The Great Learning Advantage

Learn the business implications of AI through a program that combines recorded lectures from distinguished academicians and live sessions with industry experts to build a practical grounding in AI. Benefit from hands-on training, personalised support, and networking opportunities to prepare for success.

The program is distinguished by its unique combination of recorded videos, live learning sessions, hands-on training, and extensive program support.

BUILD YOUR AI EXPERTISE

Learn AI from Industry Leaders

  • Recorded content from distinguished academicians, combining conceptual understanding with use cases and demos
  • Mentored learning sessions with AI practitioners, focusing on doubt-resolution and case-study based practice
  • Industry case sessions by experts at partner companies to understand applications to diverse industries

GAIN REAL-WORLD INSIGHTS

Hands-on, Practical Training

  • 4 case-based projects that don’t require programming experience
  • 20+ business-relevant case studies to master practical foundations
  • 1 team-based capstone project to conceptualize an AI solution for a stated business need

TAILORED LEARNING EXPERIENCE

Personalized Support and Guidance

  • Dedicated Program Manager to track your learning progress
  • Constant feedback, nudges, and motivation to ensure your success
  • Quick and personalized resolution of all academic and non-academic queries

Who is the program For?

AI for leaders is an extensive online program for

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Business Leaders

To leverage the power of AI in building products and services

Curated Jobs
Curated Jobs

Operations, Delivery and Product Managers

To successfully and swiftly launch a product

strategy training image
lead icon

Entrepreneurs and Consultants

To build working prototypes without needing large data teams

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Mentorship

Working Professionals and Marketers

To lead AI and data-driven teams and build innovation initiatives using AI technologies

View Cohort Profile

Hear what our learners have to say

I can already envision specific projects that I'm starting to deploy at work as a result of enrolling in this program and learning much more about how AI functions and how to apply it effectively.

Gregory Thompson

Vice President Supply Chain, Carnival Cruise Line

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This program's curriculum and content are really well organized throughout. I am very impressed by all of the bite-sized modules and video lectures that made it easier to understand each technology's underlying principles.

Tauhid Abddul Jalil

Principal Solutions Consultant, Laiye

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Career Success Stories from our Empowered Learners

Hugh Hanlon - Learner

Hugh Hanlon

Defense Research Analyst-Associate

The course was flexible and increased my understanding of AI and the processes for integrating it into business. I would highly recommend this course to business professionals

Revathi Thiruvengadam - Learner

Revathi Thiruvengadam

Product Manager

This incredible course has helped me gain more knowledge and employ new techniques in my current job and future jobs to come. The course was well structured and planned.

Sreeram Bonde - Learner

Sreeram Bonde

Director

AIFL program is conducted very methodically and has relevant content. The content is organized really well and the learning gets evolved with every course.

Nancy P Jani - Learner

Nancy P Jani

Sr. Vice President

The program manager had been phenomenal during the entire learning journey, always proactively reminding us of deadlines. I highly recommend Great Learning to friends and colleagues.

Sandeep Bisawa - Learner

Sandeep Bisawa

Executive Director, Client Coverage (Performance Management & Analytics)

This is one of the best courses I have gone through since I graduated. I can see a big difference in my knowledge of AI.

NC Nagarajan - Learner

NC Nagarajan

Senior Director of IT Strategy

Overall a well-executed program from Great Learning .The knowledge and the command on the subject were self-evident. The mentors also checked periodically for feedback which was good too.

Dipesh Naigaonkar - Learner

Dipesh Naigaonkar

Principal Consultant (Finacle)

I joined the program to gain a structured academic perspective of the domain. It provides students the ability to ask the right questions and discern business relevance.

Ramakrishnan Srinivasanr - Learner

Ramakrishnan Srinivasanr

Vice President (Head of Regulatory Projects)

The program has given me a very good insight and confidence on AI and its practical application in solving problems. It provides a good platform to clarify doubts with practical examples.

Raghavendra P Setty - Learner

Raghavendra P Setty

Vice President

The program has been a great learning experience with right levels of depth and breadth across the subject. The mentor sessions provided a look into real-world applications.

Ashish Roy Barman - Learner

Ashish Roy Barman

Delivery Partner

The program remarkably provied the required depth and understanding of AI/ML concepts from a strategic management perspective. It was very well structured with training videos from esteemed faculty members.

Chris Hegeman - Learner

Chris Hegeman

Director of Marketing Analytics & Business Intelligence (Embedded Technology/ IoT)

The program was thoughtfully designed to include a high level of exposure to experts practicing in the field. The pace of the class was fast enough to cover primary categories of AI and ML.

Carlos Henrique Ribeiro Fernandes - Learner

Carlos Henrique Ribeiro Fernandes

Software Developer and Solution Modeler

The course is very well organized and adapted to students' needs. The teachers were very professional and committed. It was a good decision to choose this institution.

Sridhar Santhanagopalan - Learner

Sridhar Santhanagopalan

Head Of Central Procurement Center (Global Business Service)

I would recommend this course to any leader who wants to understand the concepts of AI and see how to drive value out of AI project implementation.

Ken Mugo - Learner

Ken Mugo

Regional IT Manager, Africa

I genuinely appreciate the mentorship team of Great Learning. The presentation was great and focused on real-world problems while covering them in-depth too.

Learner Feedback on Mentorship and Program Support

All Reviews
21 Aug 2024
Batch of | rpa/ipa lead - automation center of excellence at abbvie | united states
Artificial Intelligence for Leaders was one of the best programs I took in the last decade of my professional career. The program offered a lot of content if one was willing to explore all the resources included. I enjoyed the Cohorts and Industry sessions. The program pace was intense, as expected, and required rigorous study to develop a good understanding of current trends in the Artificial Intelligence and Machine Learning domain. Anyone interested in Artificial Intelligence and Machine Learning should have started here. The support system was beneficial and prompt. I would love to take another program with Great Learning in the future.
21 Aug 2024
Batch of | lead engineer at petroleum development oman | pakistan
This was my third program with Great Learning. Their periodic Mentored Learning Sessions, led by highly capable industry professionals, were extremely helpful, complementing the recorded lectures. It provided a platform where students could interact to clarify doubts and enhance their learning experience. Additionally, the project work cemented the concepts, so they stayed with the learner for a long time. Just the fact that I was at my third consecutive program with the team was a testament to how valuable I found Great Learning’s way of transferring knowledge. Highly recommended.
21 Aug 2024
Batch of | srvice president at bank of america | united states
The Program Manager was phenomenal throughout the learning journey, always proactively reminding us of deadlines and coming up with innovative solutions to make things work for the group. They also followed up with each learner individually, which was greatly appreciated. I highly recommend Great Learning to friends and colleagues and look forward to taking up more programs in the future.
21 Aug 2024
Batch of | managing director, head of core brokerage services engineering at charles schwab | united states
The program has been an excellent learning experience, covering the subject with the right balance of depth and breadth. The mentor sessions were invaluable, providing real-world insights, and the mentors were patient in answering all our questions. The program was well-administered, which enhanced my overall learning experience. I highly recommend this program to any leader taking charge of AI initiatives.
21 Aug 2024
Batch of | director at yokogawa corporation of america | united states
I highly recommend this course to leaders seeking to understand AI concepts, drive value through AI project implementation, and gain a competitive edge. The module assessments were well-designed, and the industry sessions were interactive and insightful.
21 Aug 2024
Batch of | director of marketing at dell technologies | united states
I was impressed with how thoughtfully designed the program was, providing a high level of exposure to industry experts in the field. The pace of the class was fast enough to cover primary categories of AI and ML, while still providing detailed information to build a strong foundational knowledge base
02 Apr 2024
Batch of January 2020 | regional information technology manager - africa at the nature conservancy | kenya
I genuinely appreciate the mentorship provided in the program. The presentations were great and focused on real-world problems while covering them in depth too. The icing on the cake was the excellent use of graphics to clarify the concepts.
23 Jan 2023
Batch of February 2024 | Director, Software Engineering at Salesforce | United States
Good information and clarity on the subject. The instructor had a mastery of the subject and was able to explain it with good and clear examples.
23 Jan 2023
Batch of July 2022 | United States
Extremely good session for AI Leaders! While I appreciate the "how to" for KNIME, it is sessions like this that I was expecting when I enrolled.
23 Jan 2023
Batch of October 2023 | Chief Transformation Officer at Montepio Crédito | Portugal
A valuable session that was able to structure the subject quite well in my mind. Moreover, the examples, based on problems to address, for each machine learning category helped me to understand better the applications in the real world. Really very good session.
23 Jan 2023
Batch of September 2021 | Senior Manager Reliability at Dp World | United Arab Emirates
The computer vision concept normally is a difficult one to send across, but I'm sure that my colleagues will agree that the session today was fantastic with a detailed explanation about how it works, and with practical applications. Well done!
Read all reviews

Program Fees

Program Fees: 3,100 USD

Apply Now
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Upfront Payment & Referral

Upfront Discount:
3,100 USD

2,950 USD

Payment Partners

affirm - Payment Partner

*Subject to partner approval based on applicable regions & eligibility.

Benefits of learning from us

  • High-quality learning content from UT Austin & Global Faculty
  • 4 Hands-on Projects
  • 1 Comprehensive Capstone Project
  • Weekly Mentored Learning Sessions with Industry Experts
  • Additional Live Industry Sessions with Experts
  • Personalized Academic & Non-Academic Support

Admission Process

1

Complete your Application

Register by filling up the online application form.

2

Application Screening

A panel will review your application to determine your fit with the program.

3

Join the Program

If selected, you will receive an admission offer for the upcoming cohort. Secure your seat by paying the fee.

Upcoming Application Deadline

Admissions are closed once the requisite number of participants enroll for the upcoming cohort . Apply early to secure your seat.

Deadline: 31st Dec 2024

Apply Now
Contact Us

Reach out to us

We hope you had a good experience with us. If you haven’t received a satisfactory response to your queries or have any other issue to address, please email us at

help@mygreatlearning.com

Cohort Start Date

Great Learning-Online Center

Online

To be announced

Frequently Asked Questions

Program Details
What is meant by “mentored learning sessions”?
Mentored learning connects you directly with industry experts and practitioners of AI, Machine Learning, and Deep Learning through live virtual sessions. These sessions happen on weekends in small groups of learners and help you understand the practical side of concepts, gain industry context, and make sense of difficult concepts.
What is the role of The University of Texas at Austin in PGP – Artificial Intelligence for Leaders Program?
The PGP-Artificial Intelligence for Leaders curriculum has been designed by McCombs School of Business at The University of Texas at Austin with the learning content and assessments created by faculty of The University of Texas at Austin and other practising Artificial Intelligence experts. Upon completion, all successful participants get a certificate from The University of Texas at Austin.
Will the content be available after the program is completed?
We believe that learning is continuous and hence all learning material – lecture notes, online content and supporting material – will be available through the online platform for 1 years after completion of the program.
How will I be evaluated during the program?
In this holistic and rigorous program, you will be evaluated continuously. All quizzes, assignments, attendance and projects are used to evaluate and monitor your progress towards the desired learning outcomes.
What are “Industry Case Sessions”?
Industry case sessions are led by AI practitioners working at a variety of partner companies. Case studies include the application of Al techniques to multiple industries, including financial services, healthcare, retail, e-commerce, among others. A typical industry case session walks learners through a real-life use case, and explores the choice of models and concomitant trade-offs.
Will I receive a transcript or grade sheet after completion of the program?

No, PGP-AIFL is an online professional certificate program offered by the McCombs School of Business in collaboration with Great Learning. Since it is not a degree/full-time program offered by the university, therefore, there are no grade sheets or transcripts for this program by the university. You will receive marks on each assessment to test your understanding and marks on each module to determine your eligibility for the certificate. 

Upon successful completion of the program, i.e. after completing all the modules as per the eligibility of the certificate, you are issued a certificate from the McCombs School of Business at the University of Texas at Austin.

What is the required weekly time commitment?

Each week involves around 2-3 hours of recorded lectures and an additional 2-hour live virtual class/industry mentor session each weekend, which includes hands-on practical applications and problem-solving. The program also involves around an hour of practice exercises or assessments each week. Additionally, based on your background, you should expect to invest 2 to 4 hours every week in self-study and practice. So, that amounts to a time commitment of 8-10 hours per week.

Admissions & Eligibility
What is the eligibility for the program?
The Post Graduate Program in Artificial Intelligence for Leaders is a hands-on program designed for senior professionals and thus a minimum of 8 years of work experience is required to join this course. You should also be sufficiently able to understand and express yourself in written and spoken English to derive full benefit from the course.
What is the admission process?
You are invited to apply using our online application form. Our admissions panel evaluates all applications and if shortlisted, you will be extended an offer of admission.
How can I apply for this program?
If you are interested in the program, you can apply through the online application form. If you need assistance, please write to us at aifl.utaustin@mygreatlearning.com
Fee & Payment
What are my payment options?
Candidates can pay the course fee through Bank Transfer and Credit/Debit Cards. There are installment plans also available. For further details, please get in touch with us at aifl.utaustin@mygreatlearning.com
What is the refund policy?

Please note that submitting the admission fee does constitute enrolling in the program and the below cancellation penalties will be applied:

1) Full refund can only be issued within 48 hours of enrollment
2) Admission Fee - If cancellation is requested after 48 hours of enrollment, the admission fee will not be refunded.
3) Fee paid in excess of the admission fee: 

1. Refund or dropout requests requested more than 4 weeks before the Commencement Date are eligible for a full refund of the amount paid in excess of the admission fee

2. Refund or dropout requests requested more than 2 weeks before the Commencement Date are eligible for a 75% refund of the amount paid in excess of the admission fee

3. Refund or dropout requests requested more than 24 hours before the Commencement Date are eligible for a 50% refund of the amount paid in excess of the admission fee

4. Requests received after the Commencement Date are not eligible for a refund. 

Cancellation must be requested in writing to the program office.

Still have queries? Contact Us

Please fill in the form and a Program Advisor will reach out to you. You can also reach out to us at aifl.utaustin@mygreatlearning.com or +1 512 883 2893

Application Closes 31st Dec 2024

Download Brochure

Check out the program and fee details in our brochure

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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.