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.

English

Course Start Date:
February 06, 2025
Applications Deadline:
February 06, 2025
Duration:
11 Months

₹ 2,34,999

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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.

Important Dates

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 - Machine Learning

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

11 months of comprehensive learning with weekend classes

Flexible learning options with recorded sessions

Dedicated mentorship and support throughout the program

Tuition Fee

The program fee is ₹2,34,999 with flexible payment options including EMI starting at ₹10,522 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

Financing options

Financial Aid

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.

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

Member of the Association of American Universities (AAU)

National Academies of Sciences, Engineering, and Medicine

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:
February 06, 2025
Applications Deadline:
February 06, 2025
Duration:
11 Months

₹ 2,34,999

Add to compare

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.

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

Antonio Rangel0

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.

Jaksa Cvitanic0

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.

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.

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