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Masters in Artificial Intelligence

Embark on a transformative journey with our Masters in Artificial Intelligence program, delivered in collaboration with IBM. This comprehensive curriculum covers essential AI technologies including Python programming, machine learning, deep learning, NLP, and generative AI. Through hands-on projects and expert-led sessions, you'll develop practical skills needed for a successful career in AI engineering.

4.6

(19,641 ratings)

English

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  • Course Start Date:

    27th Sep, 2025

  • Application Deadline:

    23rd Sep, 2025

  • Duration:

    11 Months

99,991

Overview

Our Masters in Artificial Intelligence program offers comprehensive training in AI fundamentals and advanced concepts. In partnership with IBM, this program provides industry-relevant skills through practical learning experiences and real-world projects.

Why Technology & Analytics?

This program stands out for its collaboration with IBM, comprehensive curriculum coverage, and practical approach to learning. Students benefit from live interactive sessions, industry expert mentorship, and hands-on experience with the latest AI technologies including generative AI.

What does this course have to offer?

Key Highlights

  • Industry-recognized certification

  • IBM partnership and certifications

  • Live interactive sessions

  • 25+ hands-on projects

  • Latest AI tools and technologies coverage

  • Career assistance services

Who is this programme for?

  • IT professionals seeking AI expertise

  • Software developers transitioning to AI

  • Data analysts expanding their skill set

  • Recent graduates entering the AI field

  • Professionals interested in AI careers

Minimum Eligibility

  • Bachelor's degree

  • Basic understanding of programming concepts and mathematics

  • No mandatory work experience required

Who is the programme for?

The program features a straightforward admission process with basic eligibility requirements including a bachelor's degree. No mandatory work experience is required, making it accessible to both beginners and experienced professionals.

Important Information

Selection process

How to apply?

Curriculum

The curriculum is structured to provide comprehensive coverage of AI fundamentals and advanced concepts. Starting with programming basics, it progresses through machine learning, deep learning, NLP, and generative AI. The program includes both theoretical knowledge and practical applications.

There are 13 semesters in this course

The program covers essential AI concepts starting with programming fundamentals in Python, advancing to machine learning algorithms and deep learning frameworks. Specialized modules include generative AI, NLP, and reinforcement learning. Students work on real-world projects across different domains to build practical expertise.

Essentials of Generative AI, Prompt Engineering & ChatGPT

Programming Essentials

Python for Data Science by IBM

Applied Data Science with Python

Machine Learning using Python

Deep Learning Specialization

AI Engineer Capstone

Deep Learning with Keras and TensorFlow by IBM

ADL & Computer Vision

Natural Language Processing (NLP)

Reinforcement Learning

Advanced Generative AI

Industry Masterclass by IBM

Programme Length

11 months of intensive learning

Flexible weekend class schedule

Recorded sessions for revision

Comprehensive learning support

Tuition Fee

The program fee is ₹99,991 with flexible payment options including EMI starting at ₹4,477 per month. The fee covers course materials, IBM certifications, project mentorship, 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 interactive sessions with industry experts, practical labs, and comprehensive learning support.

University Experience

The program offers extensive exposure to industry-standard tools and technologies, with access to IBM's expertise through masterclasses and hackathons. Students gain practical experience through multiple projects and receive career support.

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

International Business Machines Corporation (IBM), commonly known as IBM, is a leading American multinational technology company headquartered in Armonk, New York. Established in 1911 as the Computing-Tabulating-Recording Company (CTR), it was renamed to IBM in 1924. Over the years, IBM has evolved from a manufacturer of punch-card tabulating systems to a global leader in computing and technology solutions. The company operates in over 175 countries and is recognized for its extensive research and development efforts, holding more than 150,000 patents. IBM's product offerings span various categories, including cloud computing, artificial intelligence (AI), data analytics, cybersecurity, and IT infrastructure. Notably, the IBM Watson platform utilizes natural language processing and machine learning to derive insights from large datasets. In recent years, IBM has shifted its focus towards hybrid cloud solutions and AI services, helping businesses accelerate their digital transformations. The company is committed to sustainability and innovation, setting ambitious goals such as achieving net-zero greenhouse gas emissions by 2030. Through initiatives like the IBM Skills Academy, the company aims to equip individuals with essential skills for the future workforce, emphasizing continuous learning and professional development.

350000+

Total Employees

170+

Global Offices

12

Research and Development Facilities

Affiliation & Recognition

American National Standards Institute (ANSI)

American National Standards Institute (ANSI)

Internet Engineering Task Force (IETF)

Internet Engineering Task Force (IETF)

Association for Computing Machinery (ACM)

Association for Computing Machinery (ACM)

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

Abhishek Gagneja
Abhishek Gagneja

4.2 rating

173 Reviews

1,36,574 Students

5 Courses

Experienced Educator and Applied AI Researcher with a Passion for Knowledge Sharing

With over a decade of university-level teaching experience, this passionate educator has developed numerous course modules, educational content, and hands-on lab designs. As a doctorate-level researcher specializing in applied AI, machine learning, and deep learning applications, they are dedicated to advancing both academic and practical knowledge. Their extensive background spans curriculum development, research, and fostering student engagement through practical projects.

Aije Egwaikhide
Aije Egwaikhide

4.3 rating

87 Reviews

6,31,843 Students

6 Courses

Data Scientist Aije Egwaikhide: Empowering Women in STEM and Innovating AI Solutions at IBM

Aije Egwaikhide is a fantastic example of how dedication and passion can lead to a successful career in tech! With her background in Economics and Statistics, paired with advanced qualifications in Business and Management Analytics, she’s truly paving the way in the field of data science. Her work at IBM, particularly in creating innovative machine learning solutions for the Oil and Gas sector, is an inspiring achievement.

Career services

IBM provides extensive career services aimed at enhancing workforce readiness through skills development. The IBM Skills Academy offers a variety of courses designed to equip learners with essential skills in cloud computing, data science, AI, cybersecurity, and more. These programs are tailored to meet the demands of the evolving job market and are accessible to individuals at different stages of their careers. In addition to formal education programs, IBM facilitates networking opportunities through events such as hackathons and workshops where participants can engage with industry professionals. This exposure is invaluable for building connections that can lead to internships or job placements. Furthermore, IBM partners with educational institutions to integrate its technologies into their curricula, ensuring that students gain hands-on experience with real-world applications. This collaboration helps bridge the gap between academic learning and practical skills required by employers. IBM also emphasizes continuous learning by providing access to a wealth of online resources including webinars, tutorials, and case studies that keep learners updated on industry trends and best practices. This commitment to lifelong learning ensures that graduates remain competitive in their fields even after completing their formal education.

80% (for participants engaging with career services)

Placement Rate

$85,000 (estimated for certified professionals)

Average Salary After Graduation

400+

Number of Partnerships with Recruiters

Degree Course Image
  • Course Start Date:

    27th Sep, 2025

  • Application Deadline:

    23rd Sep, 2025

  • Duration:

    11 Months

99,991

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.