Caltech Post Graduate Program in AI and Machine Learning
Join this comprehensive artificial intelligence program to master cutting-edge AI and ML technologies. In partnership with Caltech CTME and IBM, this program offers expert-led training in machine learning, deep learning, NLP, computer vision, and generative AI. You'll gain hands-on experience through 15+ projects, learn from industry experts, and earn valuable certifications from both Caltech CTME and IBM. The program features dedicated live classes on emerging technologies like GenAI, prompt engineering, and ChatGPT, ensuring you stay at the forefront of AI innovation.
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Course Start Date:
10th Jan, 2026
Application Deadline:
13th Dec, 2025
Duration:
11 Months
₹ 1,89,999
Overview
This Post Graduate Program in AI and Machine Learning by Caltech CTME offers comprehensive training in artificial intelligence and machine learning fundamentals through advanced concepts. The program combines theoretical knowledge with practical application through hands-on projects and industry collaborations.
Why Technology & Analytics?
Our program stands out through its unique combination of academic excellence from Caltech CTME and industry expertise from IBM. You'll gain hands-on experience with cutting-edge AI tools, receive mentorship from industry experts, and earn valuable certifications. The curriculum stays current with emerging technologies like Generative AI and ChatGPT.
What does this course have to offer?
Key Highlights
Expert-led live instruction
IBM collaboration and certification
Caltech CTME credentials
Hands-on learning with 15+ projects
Career assistance services
Lifetime access to learning content
Who is this programme for?
Working professionals seeking to transition into AI/ML roles
Software developers wanting to specialize in AI
Data analysts and architects expanding their skill set
Technology professionals interested in AI implementation
Business analysts looking to leverage AI solutions
Minimum Eligibility
Bachelor's degree with 50% or higher marks
Basic understanding of programming concepts and mathematics
Preferably 2+ years of work experience
Who is the programme for?
The admission process consists of three simple steps: submitting an application, receiving evaluation by an admission panel, and starting your learning journey within 1-2 weeks of selection. The program requires a bachelor's degree with 50% or higher marks and basic programming knowledge. Prior work experience is preferred but not mandatory.
Selection process
How to apply?
Curriculum
The curriculum is structured across multiple modules covering Python programming, data science fundamentals, machine learning, deep learning, and advanced AI concepts. The program includes specializations in areas like computer vision, NLP, and reinforcement learning. Students complete hands-on projects and receive mentorship throughout their learning journey.
There are 15 semesters in this course
The program curriculum integrates theoretical foundations with practical applications across multiple domains. Starting with programming fundamentals, it progresses through data science, machine learning algorithms, deep learning frameworks, and specialized AI applications. Advanced topics include generative AI, computer vision, and natural language processing, culminating in capstone projects that demonstrate real-world problem-solving capabilities.
Induction for Caltech Post Graduate Program in AI and Machine Learning
PGC AIML - Programming Refresher
PGC AIML - Python for Data Science (IBM)
PGC AIML - Applied Data Science with Python
PGC AIML - Deep Learning with TensorFlow (IBM)
PGC AIML - Deep Learning Specialization
PGC AIML - Essentials of Generative AI, Prompt Engineering & ChatGPT
PGC AIML - Capstone
PGC AIML - Academic Masterclass
PGC AIML - Industry Masterclass
PGC AIML - ADL & Computer Vision
PGC AIML - NLP and Speech Recognition
PGC AIML - Reinforcement Learning
PGC AIML - Advanced Generative AI
Programme Length
Over 11 months of comprehensive learning with weekend classes, you’ll enjoy flexible learning options with recorded sessions, along with dedicated mentorship and support throughout the program.
Tuition Fee
The program fee is ₹1,89,999 with flexible payment options including EMI starting at ₹8,507 per month. Multiple financing options are available through partner companies offering competitive interest rates. The fee includes lifetime access to course content, IBM certifications, and career support services.
Fee Structure
Payment options
Learning Experience
Students experience a blend of live online classes, self-paced learning, and hands-on projects. The program features peer-to-peer engagement through Slack, dedicated mentoring sessions, and comprehensive learning support. Recorded sessions ensure flexibility and continuous learning progress.
University Experience
Students gain access to Caltech CTME's academic excellence and IBM's industry expertise. The program offers networking opportunities through the CTME Circle Membership on LinkedIn, masterclasses by distinguished instructors, and exposure to the latest AI technologies and tools.
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
Caltech is a world-renowned private research university located in Pasadena, California, about 11 miles northeast of Los Angeles. Founded in 1891, it is known for its strong emphasis on science and engineering. Caltech manages high-profile research facilities such as NASA's Jet Propulsion Laboratory and is organized into six academic divisions. The institute is famous for its highly selective admissions, low student-to-faculty ratio, and significant research output.
10
QS World University Rankings
23
U.S. News & World Report National Universities Ranking
2240
Total enrollment
Affiliation & Recognition
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Member of the Association of American Universities (AAU)
National Academies of Sciences, Engineering, and Medicine
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 Neuroeconomics Research at Caltech
Antonio Rangel, the Bing Professor of Neuroscience, Behavioral Biology and Economics at the California Institute of Technology (Caltech), is at the forefront of neuroeconomics research. His laboratory investigates the computational and neurobiological foundations of decision-making, focusing on simple choices, self-control problems, and altruistic behavior. Professor Rangel's interdisciplinary approach combines neuroscience, economics, and psychology to unravel the complexities of how the brain makes decisions. Using advanced techniques such as computational modeling and neuroimaging, his work examines how the brain assigns and compares values, and how attention influences these processes. As a passionate educator, Rangel has been teaching economics principles since his graduate days at Harvard, where he earned his Ph.D. in Economics in 1998. His groundbreaking research in the Rangel Neuroeconomics Laboratory at Caltech not only bridges biological and social sciences but also has far-reaching implications for fields like economics, psychiatry, and the development of decision-enhancing technologies. Through his innovative work, Professor Rangel continues to shape our understanding of the neural mechanisms underlying human choice and behavior.
A Leading Figure in Mathematical Finance and Financial Economics
Jaksa Cvitanic is a distinguished scholar and educator in the fields of mathematical finance, financial engineering, and financial economics. With a career spanning over two decades, he has made significant contributions to academia through his teaching, research, and publications. Professor Cvitanic has held teaching positions at prestigious institutions including Columbia University, the University of Southern California, EDHEC Business School, and currently at the California Institute of Technology (Caltech). His expertise is reflected in his extensive publication record, which includes two influential books: "Introduction to the Economics and Mathematics of Financial Markets" and "Contract Theory in Continuous Time Models," as well as more than fifty scientific articles. Cvitanic's research has significantly advanced understanding in areas such as portfolio optimization, risk management, and financial contracts. His work on convex duality in constrained portfolio optimization, published in 1992, has been particularly impactful, garnering over 880 citations. In addition to his research, Cvitanic has served as a co-editor for prominent journals in the field, including "Finance and Stochastics" and "Mathematical Finance," further cementing his status as a leading figure in mathematical finance and financial economics.
Career services
Caltech provides comprehensive career services through its Career Advising and Experiential Learning (CALE) center. CALE offers resources and support to students, postdocs, and recent alumni in pursuing fulfilling careers across various sectors, including academia, industry, medicine, entrepreneurship, public service, and the arts. The center provides dozens of thoughtfully designed programs facilitating engagement with companies, startups, nonprofits, and alumni, setting graduates up for career success. Services include career advising, internship assistance, job listings, networking events, and alumni connections.
99.5%
Employment rate within 6 months of graduation
93%
Graduate students job offer rate within 3 months
13%
Alumni in director or manager roles
Course Start Date:
10th Jan, 2026
Application Deadline:
13th Dec, 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.