Post Graduate Program in AI and Machine Learning - eLearning

4.500,00 EUR

eLearning
Live Virtual Classroom
Blended Learning

Ride this wave and accelerate your career with this acclaimed AI and Machine Learning program. This program features a thorough mix of theory, projects, and extensive hands-on practice while leveraging Caltech’s academic excellence. More importantly, you’ll learn about not only the theoretical underpinnings of AI and ML but also gain the practical know-how to quickly and successfully apply these tools and techniques to new problems. This program is a blend of self-paced online videos, live virtual classes, hands-on projects, labs, and masterclasses. Mentorship sessions will provide you with a high-engagement learning experience and real-world applications, helping you master essential AI and ML skills. This program covers essential mathematical and statistical concepts, as well as Python programming, machine learning, deep learning, generative AI, prompt engineering, explainable AI, ChatGPT, computer vision, natural language processing, and more.

About Caltech CTME

Founded in 1891

Caltech is a world-renowned science and engineering institute that marshals some of the world’s brightest minds and most innovative tools to address fundamental scientific questions and pressing societal challenges. Caltech prizes excellence and ambition. The contributions of Caltech’s faculty and alumni have earned national and international recognition, including 38 Nobel Prizes and nearly 60 National Medals of Science. The Institute manages the Jet Propulsion Laboratory (JPL) for NASA. CTME is embedded in Caltech’s Division of Engineering and Applied Science.

Caltech CTME has a unique role to play in applying the capabilities of scientists and engineers to the challenges of today’s technology-driven businesses. Caltech CTME applies executive education and professional development directly to realworld problems. Caltech CTME experts teach the tools and perspectives that elevate careers and help companies achieve their goals.

Key Features

Caltech CTME program completion Certification

Live online masterclasses delivered by Caltech instructors. Live interactive sessions by industry experts on the latest AI trends, such as generative AI, prompt engineering, and more.

Caltech CTME Circle Membership

IBM certificates for IBM courses

3 Capstones and 25+ hands-on projects from various industry domains

Gain exposure to ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools

Earn up to 22 CEUs from Caltech CTME

Access to hackathons and Ask Me Anything sessions from IBM

Seamless access to integrated labs

Career Assistance that helps you get noticed by top hiring

Learning Outcomes

At the end of this Post Graduate Program in AI and Machine Learning, you will be able to:

Effects of AI and ML

Understand the meaning, purpose, scope, stages, applications, and effects of AI and ML. Learn about some of the latest AI trends like generative AI, prompt engineering, ChatGPT, and much more.

SciPy package

Perform scientific and technical computing using the SciPy package and its sub-packages, such as Integrate, Optimize, Statistics, IO, and Weave.

Effective techniques

Master the concepts of supervised and unsupervised learning, recommendation engines, and time series modeling. Apply effective prompt engineering techniques to improve the performance and control the behavior of generative AI models

Deep Learning

Understand and appreciate Deep Learning and its applications.

NumPy and scikit

Gain expertise in mathematical computing using the NumPy and scikit-learn package

ML modules

Validate machine learning modules and decode various accuracy metrics.

Data Science

Gain an in-depth understanding of data science processes, data wrangling, data exploration, data visualization, hypothesis building, and testing. Gain knowhow of Neural Networks, and traverse the layers of data abstraction which will help you understand data like never before

Computer Vision

Explore tools, such as Keras, to build computer vision applications. Perform distributed and parallel computing using high-performance GPUs.

Language Processing

Understand the fundamentals of natural language processing (NLP) using the most popular library, Python’s Natural Language Toolkit (NLTK). Learn about natural language understanding and natural language generation. Perform text-to-speech conversion with automated speech recognition.

Python and TensorFlow

Use Python and TensorFlow to understand reinforcement learning theory. Learn how to solve reinforcement learning problems through a variety of strategies.

Learning Path

  1. Foundations: Mathematics & Statistics Essentials

    Course 1

  2. Foundations: Programming Refresher

    Course 2

  3. Foundations: Python for Data Science (IBM)

    Course 3

  4. Core: Applied Data Science with Python

    Course 4

  5. Core: Machine Learning

    Course 5

  6. Core: Deep Learning with TensorFlow /IBM

    Course 6

  7. Core: Deep Learning Specilization

    Course 7

  8. Core: Essentials of Generative AI, Prompt Engineering & ChatGPT

    Course 8

  9. Advanced Deep Learning and Computer Vision

    Elective Course

  10. Natural Language Processing and Speech Recognition

    Elective Course

  11. Reinforcement Learning

    Elective Course

  12. Projects during the course

    Projects

Eligibility and Application Process

Eligibility Criteria

For admission in this program, candidates should have:

  • A bachelor’s degree with an average of 50% or higher marks
  • Prior knowledge or experience in programming and mathematics
  • Preferably 2+ years of formal work experience

Application Process

  • Step 1: Submit Application
    • Complete the application and include a brief statement of purpose. The latter informs counselors why you are interested and qualified for the program.
  • Step 2: Application Review
    • A panel of admissions counselors will review your application and statement of purpose to determine whether you qualify for acceptance.
  • Step 3: Admission
    • An offer of admission will be made to qualified candidates. You can accept this offer by paying the program fee.

Exam & Certification Information

Upon successful completion of this program, you will receive a certificate of completion from Caltech CTME. You will also receive IBM certificates for all IBM courses, along with certificates for the courses completed in the learning path. These certificates will testify to your skills as an AI and ML expert.

Who Should Enroll in this Program?

This program caters to professionals from a variety of industries and backgrounds. The diversity of our students adds richness to class discussions and interactions. Roles in this space require experience and an understanding of tools and technologies. This program is ideal for professionals looking for a career transition into the field of AI and ML, who have knowledge or prior experience in programming and mathematics, and an analytical frame of mind.

AI / ML Engineer

Software engineer

Technical Lead

Students in UG/ PG programs

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