Machine Learning - a career defining opportunity
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Post Graduate Program in Machine Learning


The world we live in today is driven by data, and biggest application of this data is Artificial Intelligence and Machine Learning. This makes Machine Learning one of the most in-demand domains with a high requirement for professionals in the industry with relevant skills, training and hands on experience. The Post Graduate Program in Machine Learning by Great Lakes is specifically designed to train professionals on real world industry relevant tools and skills.

PGP-ML is a unique learning experience crafted keeping in mind the learning needs of professionals and their career aspirations. The program is offered in 2 formats, classroom and online, based on the candidates requirement. The classroom program is a unique blended combination of classroom teaching and online self paced learning so that you can both work and study. The online format has unique mentored learning model where every weekend out students can interact with their mentors to clear doubts etc. Our mentors are industry experts from various background and domains with expertise in Machine learning.


Duration 7 Months
Delivery Format 1) Blended (Weekend Classroom Sessions + Online Learning)
2) Online content + Personalised Mentorship
Cities/ Centers Chennai, Bangalore, Mumbai, Pune, Hyderabad, Delhi
Tools Covered Python, Matplotlib, Seaborn, Keras, Tensorflow, Scikit-Learn
Experiential Learning Industry faculty, Machine Learning Lab, Capstone project, Case studies, Assignments and Career Assistance
Eligibility Graduates with minimum 50% marks and Programming Experience
Certification PG Certificate from Great Lakes
Innovative Pedagogy


In the classroom format, 120 hours of the program is delivered through classroom lectures over the weekends by our distinguished faculty that happen one weekend every month. In the online format, you learn from lecture videos coupled with weekly online mentorship sessions with ML experts in small groups.

Industry Perspective Lectures


Throughout the program, candidates would be working on multiple mini-projects, capstone project and hackathon. All this hands-on work gets captured in every candidate’s Machine Learning ePortfolio. This ePortfolio is verified by Great Lakes and is a shareable document that our participants use to indicate their expertise and exposure in Machine Learning.

Online - Big Data Lab


The program has been co-created and delivered by senior industry professionals as well as Great Lakes faculty. The curriculum will help you get a visceral understanding of the entire data value chain - the flow of information from inception to analysis to insight - that is essential to drawing insights from machine learning.

Capstone Projects


As a participant in the PGP-ML program, our career support initiative GL Excelerate helps you unlock your potential, highlight your skills and connect to the right opportunities for your next job with exclusive recruitment drives, access to curated jobs from 200+ hiring partners, interview workshop and personalised mentorship.

Students Speak

"The professors were extremely flexible and ready to spend more time on certain topics based on the learning requirements of the batch. The industry speakers were very knowledgeable and had hands on experience on the topics delivered by them. Interacting with them on real world problems was one of the biggest takeaways from the course."
- Clarence Wong
- Data Scientist, Verizon

"The Industry exposure has helped me bridge the gap between the theory and practice. Industry exposure during the program allowed me to get to end knowledge right from data extraction to storytelling."
- Balaji SR
- Data Scientist, Andhra Bank


PGP-Machine Learning has rolling admission process. Interested candidates need to fill up an online application form and shortlisted candidates need to appear for a telephonic interview.

Download PGP-ML course e-brochure for free. It will give you complete information about this course, curriculum, fee & admission process, etc.

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