Become an AI-Enabled Business Leader

PGP - Artificial Intelligence for Leaders

4 Month | Online + Live Virtual Classes
  • No Programming Experience Required
Apply Now
Application Deadline 4th Jun 2020

Academic Partners

  • UT Austin University Logo
  • Great Lakes Logo
Great Learning Salary Hike

3000+

Successful career transitions

Great Learning rating icon

4.7

Average program rating

Great Learning job opportunity

250+

Leading organizations hire our alumni

Great Learning course completion

90%

Course completion rate, highest globally

Program Experience

Great Learning program structure-1

Online content with 50+ hours of recorded videos

Great Learning program structure-2

Live virtual Classes with faculty

Great Learning program structure-3

Industry relevant case studies

Great Learning program structure-3

Certificate from UT Austin & Great Lakes

Course highlights

Great Learning program structure-1

Online content that combines conceptual understanding, practical use cases and demos

Great Learning program structure-2

Live virtual Classes to clarify participant questions

Great Learning program structure-3

Case studies to demonstrate appropriate scenarios

Great Learning program structure-3

Case-based projects that don’t require coding experience

Dual Certificate

Earn Dual Certificate from The University of Texas at Austin (Ranked #8 AI Program in US by US News) and Great Lakes (Ranked among Top 10 Business Schools in India)

Curriculum

The AI for Leaders course curriculum has been designed by Great Learning and The University of Texas at Austin with the learning content and assessments created by faculties from Great Learning, UT Austin and other practising data scientists and Artificial Intelligence experts.

The Business of AI
  • Where is AI used (and where it’s not)?
  • Categorization of common business problems
  • Making the business case for the use of AI & ML
  • The AI & ML landscape – tools, techniques and platforms,
    ROI & TCO
AI in practice
  • Data: Data sources, methods of handling, common tools & techniques
  • Visualization: Structuring & visualizing data, viz tools
  • Platforms: AI & ML cloud platforms, out-of-the-box solutions
Machine Learning
  • Overview of common Machine Learning techniques & their uses (supervised, unsupervised & ensemble techniques)
  • Training, testing and the basics of prediction using ML
  • Testing & evaluating models for accuracy and other measures; over/under fitting
  • Prediction case studies. Examples: Predicting how much the customer will be willing to buy?
  • Classification: Whether the customer will subscribe to our product based on our offer scheme?
  • Recommendation systems: What product should we recommend to the customer based on their past purchasing behavior?
Deep Learning for AI
  • Neural networks & deep neural networks
  • Applications of deep learning in various scenarios
  • Necessary conditions, challenges and limitations of deep learning
Application of Deep Learning to Computer Vision & Natural Language Processing
  • Computer Vision principles - working with images and videos
  • Convoluted Neural Networks and their use for computer vision
  • Sentiment Analysis case study: Based on the review of the customer – can we classify the review as positive or negative?
  • NLP techniques - dealing with textual data, strings, language
  • RNN, LSTM and common techniques for NLP
  • Object detection case study: How to detect cancer cells in chest x-rays?
Jumpstarting AI
  • Data Augmentation, feature engineering and other techniques to drive efficacy
  • Transfer Learning and the use of pre-trained models
  • Case study: Use of Transfer Learning for classification
Real-life projects in AI
  • Planning & structuring an AI project / AI teams
  • Common tools, frameworks and libraries
  • Pitfalls, risks and how to mitigate them
Capstone Project

In order to ensure an up-to-date learning journey the curriculum may get updated based on industry developments.

Learn from the Best

Learn from leading academicians in the field of Artificial Intelligence and Machine Learning and several experienced industry practitioners from top organizations. An indicative list of Artificial Intelligence and Machine Learning experts engaged with us include:

Become an AI-Enabled Business Leader

4 Months | Online + Live Virtual Classes

Reviews by Learners

30 Dec 2019
Batch of December 2019 - Online | Busines Excellence Leader at Otis Elevator Co.
This is a very interesting program to clearly understand and learn about the system and its functionality.

Live Virtual Classes with Industry experts

Program participants get guidance throughout learning journey from experienced industry practitioners to clear their doubts and gain valuable industry insights.

Great Learning artificial intelligence learning format 1

Learner's Experience

Admission Details

Eligibility

  • done A minimum of 8 Years of work experience (No prior programming knowledge is required).
Grear Learning admission and selection process

Selection Process

Step 1

Complete your application

Step 2

Application review

Go through a screening call from the program office.

Step 3

Join the Program

Your profile will be shared with the Program Director for final selection.

Fee Details

Great Learning rupee icon 1,50,000 + GST
Installments
Admission Fee Great Learning rupee icon 25,000
1st Installment Great Learning rupee icon 62,500
2nd Installment Great Learning rupee icon 62,500
Total 1,50,000

Payments

Candidates can pay the program fee through

account_balance
Bank Transfer
credit_card
Credit/Debit Cards

Fee Includes

Great Learning tution fee

Tution Fee

Great Learning material

Learning Material

Great Learning mentorship session

Mentorship Sessions

Upcoming Application Deadline for Program

4th Jun 2020

We follow a rolling admission process and admissions are closed once the requisite number of participants enroll for the upcoming batch. So, we encourage you to apply early and secure your seat.

Apply Now

Frequently Asked Questions

What is the ranking of UT Austin Artificial Intelligence Program?
Artificial Intelligence Program offered by The University of Texas at Austin is Ranked No. 8 in the US by US News Best Science School, 2018.
What is the role of The University of Texas at Autin in AI for Leaders Program?
What is the eligibility for the program?
The AI 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. Apply Now - AI For Leaders Program
What will my learning schedule be like?

You can learn concepts online with recorded sessions, and clarify your doubts using periodic live virtual classes done by industry experts. Explore - Program Learning Format

What kind of learning assistance will I get?

You will get periodic assistance from expert industry practitioners, who will clarify your doubts, and offer guidance regarding your projects.

When does the program begin?
Please check the Batch commencement dates above under the Deadlines section.
Will I have to spend more on other material?
All required content are included in the program fee and available at any time during (and after completion of) the program. You are welcome to purchase additional material for your own reference on faculty recommendation. Download Brochure - PGP Artificial Intelligence Course For Managers and Leaders
I am not from a technical background - Can I join?
Yes, the program is designed for business leaders, irrespective of their technical knowledge. If you'd like to leverage the power of AI in your day to day decision making, this program is for you. Download Brochure - PGP Artificial Intelligence Course For Managers and Leaders
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 year after completion of the program. Explore Here - AI for Leaders Program Curriculum
How will I be evaluated during the program?
In this holistic and rigorous program, you will be evaluated continuously. All quizzes, attendance and projects are used to evaluate and monitor your progress towards the desired learning outcomes. Explore Here - Program Learning Format
Can my company sponsor me?
We accept corporate sponsorships and can assist you with the process. For more information, you can write to us at aifl@greatlearning.in
What is the admission process?
How can I apply for this program?
Will there be any Financial Assistance?
We have tie-ups with HDFC Credlia, Avanse Education (DHFL Group), MoneyTap, Credifiable, and Axis Bank for providing education loans. Click here to know more about Fee Structure