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Post Graduate Program in AI and Machine Learning

This comprehensive AI and ML program, offered in collaboration with Purdue University and IBM, provides thorough coverage of machine learning, deep learning, NLP, computer vision, and generative AI. Through live classes, industry projects, and expert masterclasses, students gain practical experience with cutting-edge AI tools and technologies.

Instructors:

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  • Course Start Date:

    10th Jan, 2026

  • Application Deadline:

    12th Nov, 2025

  • Duration:

    11 Months

1,89,999

Overview

The Post Graduate Program in AI and Machine Learning, developed in collaboration with Purdue University and IBM, offers comprehensive training in AI technologies. Students learn through live classes, hands-on projects, and expert masterclasses.

Why Technology & Analytics?

This program offers unique advantages including Purdue University certification, IBM collaboration, Alumni Association membership, and hands-on experience with cutting-edge AI tools.

What does this course have to offer?

Key Highlights

  • Joint Purdue-Simplilearn certification

  • IBM course certificates

  • Purdue Alumni Association membership

  • Live faculty masterclasses

  • Career services support

  • Lifetime e-learning access

Who is this programme for?

  • Technology professionals

  • Software developers

  • Data scientists and analysts

  • IT project managers

  • Recent graduates with programming background

Minimum Eligibility

  • Bachelor's degree with 50% or higher marks

  • Basic understanding of programming and mathematics

  • 2+ years of work experience preferred

Who is the programme for?

The program follows a structured admission process including application review and selection. Students must have a bachelor's degree with 50% marks and basic programming knowledge. The comprehensive curriculum is delivered through live virtual classes.

Selection process

How to apply?

Curriculum

The program covers Python programming, data science fundamentals, machine learning algorithms, deep learning, generative AI, and specialized topics like computer vision and NLP. Students complete 25+ hands-on projects and 3 capstone projects.

There are 15 semesters in this course

The curriculum is structured into comprehensive modules covering programming basics, data science, machine learning, deep learning, and advanced AI topics. The program emphasizes practical learning through projects and real-world applications.

PG AIML - Program Induction

PG AIML - Python for object-oriented concepts

PG AIML - Python for Data Science (IBM)

PG AIML - Applied Data Science with Python

PG AIML - Machine Learning

PG AIML - Deep Learning with TensorFlow (IBM)

PG AIML - Deep Learning Specialization

PG AIML - Essentials of Generative AI, Prompt Engineering & ChatGPT

PG AIML - Capstone Project

PG DS: Academic Masterclass by Purdue University Online

Industry Masterclass by IBM

PG AIML - ADL & Computer Vision

PG AIML - NLP and Speech Recognition

PG AIML - Reinforcement Learning

PG AIML - Advanced Generative AI

Programme Length

This 11-month intensive program includes weekend classes, a flexible learning format, and lifetime access to content.

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

Senior Data Science Consultant at Citi Bank

With over 25 years of experience, Simon Travasoli serves as a Senior Data Science Consultant at Citi Bank. His extensive background in data science equips him with the skills to tackle complex business challenges through advanced analytics and innovative solutions.Simon is committed to leveraging data-driven insights to enhance decision-making processes within organizations, making him a vital asset in the finance sector. His expertise in machine learning and statistical modeling further solidifies his role as a leader in the field.

Experienced AI and ML Trainer

Rocky Jagtiani brings 24 years of experience as an AI and ML Trainer, specializing in educating professionals on the latest advancements in artificial intelligence and machine learning technologies. His training programs are designed to empower individuals with practical skills that are essential in today’s tech-driven landscape.Through his engaging teaching style, Rocky has successfully guided numerous learners in harnessing AI and ML to solve real-world problems, making significant contributions to their professional development.

Tuition Fee

The total program fee is ₹ 1,89,999 with flexible payment options including monthly installments starting at ₹ 8,507. Financing is available through partners like Splitit, ClimbCredit, and Klarna.

Fee Structure

Payment options

Financing options

Learning Experience

Students experience an immersive learning environment combining live virtual classes, self-paced content, and practical projects. The program includes IBM masterclasses and Purdue faculty sessions.

University Experience

Students gain access to Purdue University's academic excellence through faculty masterclasses and alumni network. The program offers career services and industry connections.

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

University

Founded in 1869, Purdue University is a prestigious public land-grant research university located in West Lafayette, Indiana. As the flagship campus of the Purdue University system, it has evolved into one of America's most respected public research universities. Known for its strong STEM programs, particularly in engineering and technology, Purdue serves over 105,000 students across all modalities, with nearly 50,000 attending the main campus. The university is classified among "R1: Doctoral Universities – Very high research activity" and is a member of the Association of American Universities.

89

QS World Ranking

105,000+

Total enrollment

50,000

On-campus enrollment

Affiliation & Recognition

Association of American Universities

Association of American Universities

Land-grant University Status

Land-grant University Status

CHIPS and Science Act National Hubs Partner

CHIPS and Science Act National Hubs Partner

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

Pioneering Spintronics and Quantum Physics Researcher

Pramey Upadhyaya is a distinguished Associate Professor of Electrical and Computer Engineering at Purdue University, whose academic journey includes a B.Tech from IIT Kharagpur (2009), followed by MS (2011) and Ph.D. (2015) degrees from UCLA, where he worked as a resident theorist in Prof. Kang Wang's Device Research Laboratory. Following his doctoral studies, he completed a postdoctoral fellowship at UCLA's Physics and Astronomy Department under Prof. Yaroslav Tserkovnyak. His groundbreaking research in quantum physics and spintronics has led to pioneering demonstrations of current-induced room-temperature skyrmion manipulations, spin torque switching using topological surface states, and NV-center probing of spin-caloritronics. His work has resulted in over 30 publications in prestigious journals including Science, Physical Review Letters, and Nature Nanotechnology, achieving an H-index of 24. His exceptional contributions to the field have been recognized with several prestigious awards, including an NSF Career Award (2020), Qualcomm Innovation Fellowship (2013), and Intel Summer Fellowship (2011), while his current research at Purdue focuses on advancing quantum phenomena and material science for next-generation computing applications.

Supriyo Datta
Supriyo Datta

8 Courses

Pioneering Nanoscale Electronics Innovator

Supriyo Datta is the Thomas Duncan Distinguished Professor of Electrical and Computer Engineering at Purdue University, whose groundbreaking contributions have transformed the field of nanoelectronics. Initially starting his career in ultrasonics, he shifted his focus to nanoscale electronic devices in 1985, where he developed revolutionary approaches to quantum transport. His pioneering work combines the non-equilibrium Green function (NEGF) formalism with the Landauer formalism, which has become a cornerstone in nanoelectronics research. His influential books, including "Electronic Transport in Mesoscopic Systems" (1995), "Quantum Transport: Atom to Transistor" (2005), and "Lessons from Nanoelectronics" (2012), have shaped the field's theoretical foundation. His innovative theoretical proposals have sparked new research areas in molecular thermoelectricity, negative capacitance devices, and spintronics, leading to his election to the National Academy of Engineering (NAE)

Career services

Purdue provides comprehensive career services through multiple channels, including the Center for Career Opportunities (CCO) and Pre-Professional Advising (PPA). The university offers extensive career development support through one-on-one counseling, career exploration assistance, and job search preparation. Services include resume reviews, mock interviews, career fairs, and networking events. The CCO maintains strong relationships with employers and organizes regular recruitment events. Students have access to various resources including myCCO platform, VMock for resume feedback, and Big Interview for interview practice. The career services team also provides specialized support for graduate students and maintains strong connections with industry partners

#1

Best Place for Career Opportunities

#18

Best Career Placement Among Public Schools

#36

Most Employable University Graduates

Degree Course Image
  • Course Start Date:

    10th Jan, 2026

  • Application Deadline:

    12th Nov, 2025

  • Duration:

    11 Months

1,89,999

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.