Rai University Ahmedabad

Rai University Ahmedabad

Ahmedabad , Gujarat
|
4.6 Ratings
|
Private|Estd. 2012|NAAC Grade A

Written By Shilpa Sushil

Updated on – 13 Oct, 2025

Diploma in Computer Engineering (Machine Learning) – Rai University, Ahmedabad

Machine Learning is a crucial subfield of artificial intelligence that enables computers to learn and make decisions without explicit programming. This program provides a strong foundation in ML algorithms, data science, and computing concepts, ensuring students grasp both theoretical and practical aspects of machine learning.

Course Details

ParameterDetails
University NameRai University, Ahmedabad
Course NameDiploma in Computer Engineering (Machine Learning)
Course Duration3 Years
Course FeeINR 42,000
Eligibility Criteria10th Pass with English, Science, and Maths as subjects

Career Scope in Computer Engineering

After completing this diploma, students will have numerous career opportunities in the field of computer engineering and machine learning. The growing demand for AI-driven solutions across industries makes this field highly lucrative. Graduates can explore the following career paths:

Career OptionPotential Employers
Machine Learning EngineerIT Companies, AI Startups
Data AnalystFinancial Firms, Market Research
Software DeveloperTech Companies, Product-Based Companies
AI Research AssistantResearch Labs, Universities
IoT DeveloperSmart Tech Companies
Data ScientistHealthcare, E-commerce, BFSI
Robotics EngineerAutomation Industries
Cybersecurity AnalystSecurity Firms, Government Organizations

Why Choose This Course?

  • Industry-Relevant Curriculum – The program focuses on current and emerging trends in machine learning and artificial intelligence.

  • Practical Exposure – Hands-on training with real-world ML applications and projects.

  • Affordable Fees – Competitive tuition fees make it accessible for aspiring students.

  • Job-Oriented Training – Designed to help students secure high-paying jobs in the tech industry.

  • Internships and Workshops – Students get opportunities to work on live projects and industry collaborations.

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