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Artificial Engineering

Diploma in Artificial Intelligence & Data Engineering with Focus on Practical AI Skills, Data Handling & Intelligent Technologies
The Diploma in Artificial Intelligence & Data Engineering at Imperial College of Engineering (ICE) is a future-oriented technical programme designed to introduce students to the fundamentals of artificial intelligence, data handling, and intelligent computing systems. This programme focuses on developing practical, job-ready skills in programming, data processing, basic machine learning concepts, and modern digital tools. Through hands-on laboratory training, project-based learning, and industry-oriented exposure, students are prepared for entry-level roles in AI-enabled and data-driven environments or for higher education.

Duration: 3 Years (6 Semesters)
Affiliation & Approval: As per statutory and regulatory norms

Programme Overview
The Diploma in Artificial Intelligence & Data Engineering at ICE aims to develop technically skilled students with strong logical thinking, problem-solving abilities, and a foundational understanding of intelligent technologies.
The curriculum is structured to ensure:
• Clear understanding of basic AI and data concepts
• Strong foundation in programming and data handling
• Extensive hands-on laboratory and practical training
• Exposure to modern AI tools, platforms, and applications

Graduates of this programme are well-prepared for entry-level technical roles or for Direct Second Year Engineering (DSE) in AI, Computer Engineering, IT, or related branches.

Programme Structure
The programme curriculum covers core computing fundamentals along with introductory AI and data engineering concepts.

Core Subjects Include:
• Computer Fundamentals & Operating Systems
• Programming in C / Python
• Object-Oriented Programming Basics
• Database Management Systems
• Data Structures Fundamentals
• Computer Networks Basics

AI & Data-Focused Skill Exposure:
• Introduction to Artificial Intelligence
• Basics of Machine Learning
• Data Collection, Cleaning & Processing
• Data Visualization Fundamentals
• Cloud Computing Basics
• AI Ethics & Data Privacy Awareness

Programme Highlights
Strong Foundation in AI & Data Basics
The programme builds a clear understanding of how data is collected, processed, and used to create intelligent systems, preparing students for modern technology-driven roles.

Labs & Hands-On Training
Students gain practical experience through AI & data labs, programming exercises, data handling projects, and mini-projects that apply concepts to real-world problems.

Industry-Relevant Learning
The curriculum is aligned with current industry trends, ensuring students develop skills that are relevant to AI-enabled and data-driven workplaces.

Internship & Practical Learning Opportunities
ICE promotes experiential learning through:
• Industry-oriented internships
• Mini-projects and capstone projects
• Technical workshops and expert sessions
• Industry interaction programs
• Skill development and certification support
These opportunities help students build confidence, practical knowledge, and workplace readiness.

Career Opportunities
A Diploma in Artificial Intelligence & Data Engineering from ICE opens doors to entry-level roles in data-driven and technology-enabled industries.

Career Roles Include:
• Junior Data Analyst
• AI Support Technician
• Data Operations Executive
• Software Support Assistant
• Technical Support Executive
• Junior Automation Assistant

Graduates may also pursue higher education, including Direct Second Year Engineering (DSE) in AI & Data Science, Computer Engineering, IT, or related engineering disciplines.

Eligibility Criteria
Admission to the Diploma in Artificial Intelligence & Data Engineering programme is offered as per:
• Norms prescribed by regulatory authorities
• Successful completion of 10th (SSC) or equivalent
• Merit-based or entrance-based admission process (as applicable)

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HOD
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Industry
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Infrastructure
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Academics
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Students
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Magzine
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Mechanical Department

Why Imperial College of Engineering

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Future-Focused Education

Curriculum aligned with emerging technologies, AI, and industry.

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Innovation-Driven Learning

Strong emphasis on hands-on projects, research, and problem-solving.

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AI & Technology Excellence

Dedicated focus on artificial intelligence, data-driven learning, and automation.

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Industry-Oriented Approach

Practical training, internships, and career-readiness programs.

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Advanced Infrastructure

Modern laboratories, smart classrooms, and learning resources.

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Experienced Faculty

Qualified educators with academic and industry expertise.

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Holistic Student Development

Equal focus on technical skills, soft skills, and professional ethics.

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Career & Placement Support

Structured guidance to help students transition from campus to industry.

Testimonials

Student Testimonials

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Rahul Patil
B.Tech Computer Science Engineering

Imperial College of Engineering gave me more than just a degree. The practical labs, supportive faculty, and placement training helped me build confidence and real technical skills. I feel industry-ready today.”.

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Sneha Deshmukh
B.Tech Artificial Intelligence & Robotics

The learning environment at Imperial College is very positive. The hands-on projects, workshops, and guidance from professors helped me understand complex concepts easily and practically.

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Amit Kulkarni
B.Tech Mechanical Engineering

The workshops and laboratories are well-equipped, and the teaching approach is very practical. The college focuses on skill development, which helped me during internships and interviews.

Blog

Our Latest Blog Post

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Advance August 28

Artificial Intelligence: The Future of Engineering

Artificial Intelligence is transforming engineering by enabling smarter design, automation, and data-driven decision-making.
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Advance August 28

Engineering Education and Hiring: Bridging the Skill Gap

The engineering industry today demands more than academic knowledge—it requires practical skills, adaptability, and industry exposure.
Blog Image
Advance August 28

Why Engineering Education Must Go Beyond Classroom Theory

In today’s competitive job market, engineering education must go beyond theory and focus on practical, industry-relevant skills.