Artificial Intelligence

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Akanksha Malhotra

Contributor-Level 10

In the QS subject rankings for 2026, RMIT Australia ranks at #7 in Australia and Top 100 Universities globally for Data Science & AI. Master of Artificial Intelligence course of RMIT is 2 years long. This course offers two stream options: project and thesis. For admission to this course, Indian students are required to have a Bachelor's degree with a minimum GPA of 2.0. 

New answer posted

2 weeks ago

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Rashmi Shukla

Contributor-Level 10

The application fee for the BTech course in AI & DS at DY Patil Pune is given below:

  • The application fee (Vidyapeeth Entrance test Fee) is INR 1,300 .
  • Applications can be filled online only.
  • The payment gateway accepts all payments through Credit/Debit cards, Google pay / UPI / BHIM / Amazon, and Demand Draft.

New answer posted

3 weeks ago

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Rashmi Karan

Contributor-Level 9

Yes, modern technology, including AI is deeply integrated into the MBA at Amity University Jaipur. Students get rare access to India's most advanced supercomputing facilities, featuring NVIDIA DGX2 high-speed servers. You will learn to use AI-powered learning modules to analyze complex business data and market trends.

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3 weeks ago

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Sampreet Kaur

Beginner-Level 1

Yes, students can work on real world Artificial Intelligence and Machine Learning applications during the course at LPU. The curriculum includes practical learning through projects, lab work, case studies and industry oriented assignments. Students get opportunities to build solutions in areas such as data analytics, computer vision, automation and predictive modeling. Exposure to industry tools and project based learning helps in developing job ready skills while internships and collaborative projects support better career outcomes and practical understanding of AI and ML concepts.

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a month ago

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Sampreet Kaur

Beginner-Level 1

Yes, the M.Sc. (Data Science) programme at LPU includes topics related to Machine Learning and Artificial Intelligence as part of its curriculum. The course generally focuses on data analysis, predictive modeling, machine learning techniques, AI fundamentals, programming, and big data tools. The curriculum is designed to help students build practical skills through projects and industry oriented learning. These areas are useful for careers in Data Analytics, AI, Business Intelligence, and related technology fields.

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a month ago

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shranya pathania

Beginner-Level 4

The B.Tech. in Robotics & Artificial Intelligence Engineering at LPU covers a blend of core engineering, robotics, and AI-focused subjects. Students typically study programming, data structures, machine learning, artificial intelligence, robotics systems, computer vision, embedded systems, sensors and actuators, automation, and control systems.

What makes the learning experience interesting is that the curriculum is not limited to theory. Along with technical subjects, students get opportunities to work on projects, lab work, and practical applications that help them understand how intelligent machines are designed and developed.

From wh

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a month ago

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Punam Kumari

Beginner-Level 5

I really like that this programme at Chandigarh University is not just about theory. It includes lots of hands-on learning. We do projects, coding and get industry-focused training. We also learn about areas like learning, computer vision, natural language processing and data analytics in Artificial Intelligence & Machine Learning. Chandigarh University has ties with big tech companies. They help us get internships, participate in hackathons and get certifications in Artificial Intelligence & Machine Learning. If you love Artificial Intelligence & Machine Learning this programme at Chandigarh University can give you a base. It also hel

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New answer posted

a month ago

0 Follower 14 Views

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Sampreet Kaur

Beginner-Level 1

BCA in Artificial Intelligence and Machine Learning with IBM at LPU can offer good career opportunities because the curriculum focuses on programming, data analytics, machine learning concepts, and industry relevant tools. The industry exposure and practical learning approach help students build skills for roles such as AI Analyst, Machine Learning Associate, Data Analyst, and Software Developer. Higher studies and specialised certifications can further expand career prospects in this fast growing field.

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a month ago

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New question posted

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