PGP- Artificial Intelligence and Machine Learning
This comprehensive 7-month Executive PGP in Artificial Intelligence and Machine Learning program is designed for working professionals seeking to build a successful career in AI and ML. The curriculum includes advanced modules in Generative AI, Large Language Models (LLM), Prompt Engineering, and more, giving you a complete 360° understanding of AI and Machine Learning. Learn through online videos by world-class faculty from UT Austin and receive weekly mentorship from industry experts. The program features 7 hands-on projects, 40+ case studies using real industry datasets, and covers essential tools like Python, Hugging Face, LangChain, TensorFlow, and more. Upon completion, you'll receive a certificate from UT Austin and access to dedicated career support.
Instructors:
English
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Course Start Date:
Starting soon
Application Deadline:
20th Sep, 2025
Duration:
7 Months
₹ 2,10,000
Overview
This comprehensive 7-month Executive PGP in Artificial Intelligence and Machine Learning program is tailored for working professionals looking to advance their careers in AI and ML. The curriculum now includes advanced modules in cutting-edge areas such as Generative AI, Large Language Models (LLM), and Prompt Engineering. Delivered by distinguished faculty from UT Austin, the program offers a 360° understanding of AI and Machine Learning through online learning combined with weekly mentorship sessions from industry experts. Students will work on 7 hands-on projects and 40+ case studies using real industry datasets from companies like Uber, Netflix, and Amazon. The program covers essential tools and languages including Python, Pandas, NumPy, Hugging Face, LangChain, ChatGPT, TensorFlow, Keras, and many more. With a structured curriculum that balances theoretical knowledge with practical application, students gain expertise in areas like Deep Learning, Machine Learning, Computer Vision, Neural Networks, and NLP with Generative AI. Upon completion, graduates receive a certificate from UT Austin, which is ranked in the QS World University rankings for 2022.
Why Technology & Analytics?
The Executive PGP in Artificial Intelligence and Machine Learning from UT Austin stands out with its industry-relevant curriculum that now includes specialized modules on Generative AI, LLMs, and Prompt Engineering. This comprehensive program offers several unique advantages: 1) Learn from distinguished UT Austin faculty through masterclasses in Python, Deep Learning, Machine Learning, Computer Vision, Neural Networks, and more. 2) Benefit from weekly online mentorship sessions with industry experts who provide guidance on projects and reinforce concepts. 3) Gain practical expertise through 7 hands-on projects and 40+ case studies using real datasets from companies like Uber, Netflix, and Amazon. 4) Master over 20 tools and technologies including Python, Hugging Face, LangChain, ChatGPT, TensorFlow, and more. 5) Access dedicated program support with a Program Manager to address your queries. 6) Receive a prestigious certificate from UT Austin, ranked in the QS World University rankings. 7) Connect with peers from diverse industries and experience levels to grow your professional network. 8) Benefit from career support with an average salary hike of 50% reported across Great Learning programs. 9) Flexible payment options with EMI plans starting as low as ₹6,776 per month.
What does this course have to offer?
Key Highlights
Online learning through world-class faculty videos
Weekly online mentorship by industry experts
Hands-on learning with 7 projects and 40+ case studies
Networking opportunities with peers
Dedicated program manager for query resolution
Prestigious certificate from UT Austin
Comprehensive career transition support
Flexible payment options with EMI plans
Advanced modules in Generative AI, LLM, Prompt Engineering
Access to 3,300+ hiring companies
Who is this programme for?
Working professionals looking to upskill while maintaining their current job
Individuals seeking to transition to AI and ML roles
Professionals from IT, analytics, or technical backgrounds
Those interested in mastering Generative AI and LLMs
Engineers who want to build practical AI/ML solutions
Business professionals wanting to leverage AI for strategic decisions
Technology enthusiasts eager to stay ahead with cutting-edge AI skills
Minimum Eligibility
Working professionals with interest in AI and ML
Dedicated to upskilling while maintaining current job
Seeking to transition to data science roles
Individuals interested in learning cutting-edge Generative AI
Engineering or technical background preferred
Who is the programme for?
The admission process for the Executive PGP in Artificial Intelligence and Machine Learning is straightforward and designed to select candidates who are motivated to excel in the field. The three-step process includes: 1) Application: Candidates need to fill out a simple online application form with their details. 2) Interview Process: Shortlisted applicants go through a screening call with the Admission Director's office to assess their suitability for the program. 3) Offer and Enrollment: Selected candidates receive an offer letter and can secure their seat by paying the admission fee. The program has limited seats available, and admissions close once the requisite number of participants enroll for the upcoming batch. Applicants are encouraged to apply early to secure their spot. The current batch is scheduled to start on April 6, 2025, and applications close on March 29, 2025. The admissions team is available to address any queries through phone (080-4718-9252) or email (aiml@greatlearning.in).
Important Information
Selection process
How to apply?
Curriculum
The Executive PGP in Artificial Intelligence and Machine Learning curriculum is comprehensive and covers both fundamental and advanced topics in AI and ML. The program now includes cutting-edge modules on Generative AI, Large Language Models, and Prompt Engineering. Students learn through online videos delivered by distinguished faculty from UT Austin, with masterclasses covering Python, Deep Learning, Machine Learning, Computer Vision, Neural Networks, Hugging Face, Prompt Engineering, and NLP with Generative AI. The curriculum includes 7 hands-on projects and 40+ case studies using real industry datasets from companies like Uber, Netflix, and Amazon. Students work with over 20 tools and languages including Python, Pandas, NumPy, Seaborn, Matplotlib, Scikit-learn, Hugging Face, LangChain, ChatGPT, TensorFlow, Keras, OpenCV, Gemini, SpaCy, Docker, Flask, Transformers, Dall-E, Whisper, MySQL, and more. Weekly online mentorship sessions with industry experts help reinforce concepts and provide guidance on projects.
There are 9 semesters in this course
The program curriculum covers essential AI and ML domains through structured modules. Students begin with Python fundamentals and data manipulation using Pandas, NumPy, Matplotlib, and Seaborn. They then progress to Machine Learning concepts including supervised and unsupervised learning techniques. Advanced modules cover Deep Learning with TensorFlow and Keras, Neural Networks, and Computer Vision using OpenCV. The program places special emphasis on cutting-edge Generative AI technologies, teaching students to work with Hugging Face's Transformers library to access pre-trained models for NLP tasks like text classification, question-answering, summarization, and text generation. Students also learn LangChain for connecting LLMs with other data sources, and Prompt Engineering techniques for effective AI interactions. Projects include BFSI applications like financial report analysis using RAG and credit card fraud detection, hospitality use cases for booking cancellation prediction, manufacturing solutions for predictive maintenance, healthcare applications for COVID detection from X-ray scans, and retail applications for used car price prediction. Throughout these modules, students gain hands-on experience with industry-relevant tools and technologies while receiving guidance from mentors during weekly online sessions.
Learn at Your Own Pace
Course 1: Python Foundations
Course 2: Machine Learning
Course 3: Advanced Machine Learning
Course 4: Introduction to Neural Networks
Course 5: Natural Language Processing with Generative AI
Course 6: Introduction to Computer Vision
Course 7: Model Deployment
Additional Modules: Learn at Your Own Pace
Programme Length
7 months
Whom you will learn from?
Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.
Instructors
Faculty Director, CATT & Distinguished Professor
Kumar Muthuraman is a Professor of Information, Risk, and Operations Management at The University of Texas at Austin’s McCombs School of Business, where he also serves as a Distinguished Teaching Professor and faculty director for the Center for Analytics and Transformative Technologies. His research focuses on decision-making under uncertainty with applications in finance, operations, and healthcare, with publications in top journals. A recipient of numerous teaching and research awards, he has also served as an editor for prestigious journals. Beyond academia, he is a founder and board member of multiple companies and has consulted for financial firms on pricing and risk management. He holds M.S. and Ph.D. degrees from Stanford University and a B.Tech. from CECRI, India.
Senior Faculty & Director Academics, Great Learning
Dr. Abhinanda Sarkar holds B.Stat. and M.Stat. degrees from ISI and a Ph.D. in Statistics from Stanford University. With experience as a lecturer at MIT and a research staff member at IBM, he spent a decade at GE and has contributed to committees for UGC, the World Bank’s infoDev, and NASSCOM. An award-winning academician, he has taught at Stanford, ISI Delhi, IIM Bangalore, and IISc. Currently, he is a Full-Time Faculty at Great Lakes, Associate Dean at MYRA School of Business, and co-founder of OmiX Labs, a startup focused on low-cost medical diagnostics.
Tuition Fee
The Executive PGP in Artificial Intelligence and Machine Learning has a total fee of ₹210,000 + GST with flexible payment options including 0% interest EMI plans, covering mentorship, projects, case studies, academic support, and certification.
Fee Structure
Payment options
Financing options
Financial Aid
Learning Experience
The learning experience for the Executive PGP in Artificial Intelligence and Machine Learning is designed to be flexible, interactive, and practical. Students learn primarily through online videos delivered by distinguished faculty from UT Austin, allowing them to access course content anytime and anywhere. This is complemented by 20 weekly online mentorship sessions with industry experts who provide guidance on projects and reinforce concepts. The program emphasizes hands-on learning through 7 projects and 40+ case studies using real datasets from companies like Uber, Netflix, and Amazon. Students work with over 20 tools and languages, gaining practical experience with industry-standard technologies. The learning journey is supported by a dedicated Program Manager who addresses queries and provides academic learning support. Students also receive detailed performance reviews to track their progress. The program fosters networking opportunities with peers from similar backgrounds, allowing for valuable connections and knowledge sharing. Upon completion, students receive a prestigious certificate from UT Austin and a shareable e-Portfolio to showcase their skills to potential employers.
University Experience
The University of Texas at Austin provides a prestigious academic environment for the Executive PGP in Artificial Intelligence and Machine Learning program. Ranked among the top institutions in the QS World University rankings for 2022 and recognized for Executive Education Custom Programs by Financial Times, UT Austin brings considerable reputation to the certificate. The faculty delivering the masterclasses are distinguished experts in their fields, covering Python, Deep Learning, Machine Learning, Computer Vision, Neural Networks, and more. The university experience extends beyond classroom learning through networking opportunities with peers from diverse industries and backgrounds. Students become part of a larger ecosystem that includes connections to over 3,300 hiring companies across Great Learning programs. The university also supports career transitions, with program graduates reporting an average salary hike of 50%. Alumni testimonials highlight the structured curriculum, interactive teaching environment, and successful career transitions, with graduates moving into roles such as Data Scientist, Data Engineer, and Senior Business Analyst at companies like Mazars India, HERE Technologies, FUTURE CONSUMER LIMITED, Innova Solutions USA, Tredence Inc., and others.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
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About the University
Founded in 1977, WeSchool is a premier business school operating under S.P. Mandali Trust, with campuses in Mumbai and Bangalore. The institute is known for its innovative approach to management education, with a strong focus on design thinking and industry integration. The Bangalore campus, established in 2008, is located in Electronic City, providing strategic proximity to India's technology hub.
101-125
NIRF Ranking
300+
Total Students
176-200
QS International Trade Ranking
Affiliation & Recognition
AICTE
NBA
UGC
Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Instructors
Faculty Director, CATT & Distinguished Professor
Kumar Muthuraman is a Professor of Information, Risk, and Operations Management at The University of Texas at Austin’s McCombs School of Business, where he also serves as a Distinguished Teaching Professor and faculty director for the Center for Analytics and Transformative Technologies. His research focuses on decision-making under uncertainty with applications in finance, operations, and healthcare, with publications in top journals. A recipient of numerous teaching and research awards, he has also served as an editor for prestigious journals. Beyond academia, he is a founder and board member of multiple companies and has consulted for financial firms on pricing and risk management. He holds M.S. and Ph.D. degrees from Stanford University and a B.Tech. from CECRI, India.
Senior Faculty & Director Academics, Great Learning
Dr. Abhinanda Sarkar holds B.Stat. and M.Stat. degrees from ISI and a Ph.D. in Statistics from Stanford University. With experience as a lecturer at MIT and a research staff member at IBM, he spent a decade at GE and has contributed to committees for UGC, the World Bank’s infoDev, and NASSCOM. An award-winning academician, he has taught at Stanford, ISI Delhi, IIM Bangalore, and IISc. Currently, he is a Full-Time Faculty at Great Lakes, Associate Dean at MYRA School of Business, and co-founder of OmiX Labs, a startup focused on low-cost medical diagnostics.
Career services
The Career Management Centre (CMC) at WeSchool provides comprehensive support through placement initiatives and industry connections. The center facilitates internships, live projects, and research work opportunities. Industry professionals regularly engage with students through advisory boards and academic programs, ensuring practical exposure and career advancement opportunities.
16 LPA
Highest Package PGDM
10.36 LPA
Average Package PGDM
11.43 LPA
E-Business Average Package
Top Recruiters
Course Start Date:
Starting soon
Application Deadline:
20th Sep, 2025
Duration:
7 Months
₹ 2,10,000
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.