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B.Tech in Artificial Intelligence program environment
Undergraduate Engineering / Artificial Intelligence

B.Tech in Artificial Intelligence (AI)

A future-focused engineering degree in AI, machine learning, deep learning, data science, cloud, and robotics, built to develop industry-ready AI engineers through practical, innovation-driven learning. Admissions open for 2026.

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Swarrnim Startup & Innovation UniversityProgram at a glance
Duration4 Years
Eligibility10+2 (Science)
LevelUndergraduate (B.Tech)
LocationGandhinagar
StatusAdmissions Open

Industry Focused Learning

Curriculum aligned with practical skills and emerging technologies.

Modern Laboratories

Hands-on learning through labs, studios, projects, and demonstrations.

Site Visits & Practical Training

Field exposure, site understanding, practical work, and real-world learning.

Placement Support

Dedicated training and career guidance for better student outcomes.

Program Overview

Build the Future with B.Tech in Artificial Intelligence

Artificial Intelligence is transforming every industry, from healthcare and finance to robotics, autonomous vehicles, cybersecurity, manufacturing, education, and smart cities. Organizations across the globe are looking for professionals who can build intelligent systems, automate complex processes, and solve real-world problems using AI technologies.

The B.Tech in Artificial Intelligence at Swarrnim Startup & Innovation University is a future-focused undergraduate engineering program designed to develop highly skilled AI engineers through practical learning, innovation, industry exposure, and research, with expertise in AI, machine learning, deep learning, data science, cloud computing, robotics, and intelligent software development.

Whether your goal is to become an AI Engineer, Machine Learning Engineer, Data Scientist, AI Researcher, or technology entrepreneur, this program provides the perfect foundation for a successful career.

Apply today and become a future-ready Artificial Intelligence Engineer. Enquire now to learn about admissions, scholarships, curriculum, and career opportunities.

Industry-Oriented AI Curriculum

Designed around current industry needs: machine learning, deep learning, NLP, computer vision, and cloud AI.

Advanced AI & ML Laboratories

Hands-on coding labs, live projects, and modern AI tools for real-world implementation.

Careers & Startup Support

Internships, hackathons, placement assistance, and startup incubation across the AI ecosystem.

Program Structure

Designed to move students from foundation to field-ready confidence

4Years

Full-time B.Tech degree

8Semesters

Structured, project-driven curriculum

1000+Practical Hours

Labs, projects & internship

15+AI Skills

ML, deep learning, NLP, vision & more

Learning Journey

Semester-wise growth path

01Year 1

Engineering & Programming Foundation

Applied mathematics, programming with Python, data structures, and computing fundamentals.

02Year 2

Core Computer Science

Algorithms, object-oriented programming, databases, operating systems, and computer networks.

03Year 3

AI & Machine Learning Core

Machine learning, deep learning, natural language processing, computer vision, and big data.

04Year 4

Specialization & Industry

Generative AI, cloud AI, capstone project, industry internship, and placement preparation.

Outcome Driven

Every semester is tailored to build industry-ready competencies.

Mentor Guided

Learn from experienced faculty and industry practitioners.

Skill + Practical Focus

Balance of theory, labs, site visits, and real-world application.

Career Ready

Internship, projects, and hands-on training for a strong professional start.

Curriculum

Progressive learning from foundation to career preparation

Semester 1Programming & Math Foundation

Engineering mathematics, programming with Python, and computing fundamentals.

Semester 2Data Structures & OOP

Data structures & algorithms, object-oriented programming, and workshop practice.

Semester 3Systems & Databases

Database management systems, operating systems, and computer networks.

Semester 4Software Engineering & AI Basics

Software engineering, introduction to artificial intelligence, and data analytics.

Semester 5Machine Learning & Data Mining

Machine learning, data mining, and big data analytics.

Semester 6Deep Learning & Vision

Deep learning, neural networks, computer vision, and natural language processing.

Semester 7Advanced AI & Electives

Reinforcement learning, generative AI, cloud computing, IoT, robotics, and electives.

Semester 8Capstone Project & Internship

Industry internship, major AI capstone project, AI ethics, and placement preparation.

Eligibility

Best suited for students ready to build a future-ready career

10+2 (Science) students

Candidates who have completed 12th with Physics and Mathematics and are passionate about coding, data, and intelligent technology.

Aspiring AI & ML engineers

Students who want to build intelligent systems, machine-learning models, and AI-powered software.

Future data scientists & researchers

Learners aiming for data science, AI research, and higher studies in intelligent computing.

AI-driven entrepreneurs

Innovators who want to build AI products, applications, and technology startups.

Career Opportunities

Launch a high-growth career in Artificial Intelligence

Artificial Intelligence Engineer

Design, build, and deploy intelligent AI systems.

Machine Learning Engineer

Develop and optimise ML models for real-world problems.

Data Scientist

Extract insights and predictions from complex data.

AI Research Engineer

Research and develop next-generation AI methods.

NLP Engineer

Build systems that understand and generate human language.

Computer Vision Engineer

Create systems that interpret images and video.

Robotics Engineer

Build intelligent, autonomous robotic systems.

AI Software Developer

Develop AI-powered software and applications.

Data Engineer

Build data pipelines and infrastructure for AI.

Cloud AI Engineer

Deploy and scale AI on cloud platforms.

Automation Engineer

Automate complex processes with intelligent systems.

AI Consultant

Advise organisations on AI strategy and adoption.

Product Engineer

Take AI products from concept to market.

Research Scientist

Advance AI research in labs and academia.

Technology Entrepreneur

Launch AI-based startups and ventures.

Why Swarrnim

Why choose B.Tech in Artificial Intelligence?

A program that pairs academic excellence with practical industry exposure: modern labs, live projects, internships, and an innovation-driven ecosystem built around current AI technologies.

Fast-Growing AI Field

One of the fastest-growing technology domains, creating opportunities across every industry.

Advanced AI & ML Labs

Modern laboratories for machine learning, deep learning, cloud, and robotics.

Practical Coding & Projects

Hands-on coding sessions, live projects, and real-world problem solving.

Research & Innovation

Research opportunities, hackathons, and an innovation & startup ecosystem.

Industry Internships

Real exposure and mentorship with IT, AI, and technology companies.

Placement & Career Support

Career development, mentorship, and placement assistance with recruiters.

Curriculum

Major subjects you’ll study

Engineering MathematicsProgramming with PythonData Structures & AlgorithmsObject-Oriented ProgrammingDatabase Management SystemsOperating SystemsComputer NetworksSoftware EngineeringArtificial IntelligenceMachine LearningDeep LearningNatural Language ProcessingComputer VisionReinforcement LearningBig Data AnalyticsCloud ComputingData MiningInternet of Things (IoT)RoboticsCybersecurity FundamentalsAI Project Development
AI Expertise

Core AI expertise you’ll build

Machine LearningDeep LearningNeural NetworksNatural Language ProcessingComputer VisionGenerative AIPredictive AnalyticsData EngineeringCloud AI PlatformsIntelligent AutomationReinforcement LearningAI Ethics
Hands-On Learning

Practical learning through modern AI labs

AI Programming LabsMachine Learning ProjectsDeep Learning ApplicationsComputer Vision ProjectsRobotics ExperimentsNLP DevelopmentCloud Computing LabsAI Product DevelopmentLive Industry ProjectsResearch ActivitiesInnovation ChallengesFinal-Year Capstone Projects
Industries

Industries hiring AI engineers

IT CompaniesAI StartupsSoftware CompaniesHealthcare TechnologyFinTech OrganizationsE-Commerce CompaniesManufacturing IndustryAutomotive CompaniesRobotics CompaniesCybersecurity FirmsCloud Service ProvidersGovernment OrganizationsResearch Institutions
Campus & Infrastructure

Modern infrastructure for future AI engineers

AI LaboratoriesMachine Learning LabsCloud Computing LabsRobotics LaboratoriesHigh-Performance Computing SystemsSmart ClassroomsInnovation & Startup CentreDigital LibraryResearch FacilitiesIndustry Collaboration Programs
Eligibility

Admission eligibility & requirements

Passed 10+2 in the Science streamPhysics and Mathematics as compulsory subjectsChemistry / Biology / Technical Vocational as applicableMinimum qualifying marks as per university normsDiploma holders eligible for lateral entryCompleted the engineering admission process
Outcomes

What you graduate with

Engineering DegreePractical Project ExperienceIndustry ExposureInternship ExperienceTechnical PortfolioResearch ExposureEntrepreneurial ReadinessPlacement Assistance
Fees & Scholarships

Clear admission guidance before you apply

Fee Guidance

Transparent, year-wise B.Tech fee details are shared by the admissions team as per the latest university policy.

Scholarships & Merit Support

Merit, need-based, and category scholarships are available for eligible students.

Education Loan Assistance

Guidance and documentation support to help you secure education loans from partner banks.

Admission & Counselling Help

Counsellors assist with eligibility, documents, scholarships, and the complete admission process.

Frequently Asked Questions

Quick answers before you apply

It is a four-year undergraduate engineering program focused on Artificial Intelligence, Machine Learning, Deep Learning, Robotics, Data Science, Cloud Computing, and intelligent software development.

The program combines concepts from Computer Science and Engineering with advanced AI specialization, enabling students to become experts in intelligent systems while maintaining a strong computer-engineering foundation.

The syllabus includes programming, Machine Learning, Artificial Intelligence, Deep Learning, Computer Vision, NLP, Cloud Computing, Robotics, Software Engineering, and AI project development.

Graduates can work as AI Engineers, Machine Learning Engineers, Data Scientists, Robotics Engineers, NLP Engineers, AI Consultants, Research Engineers, and Technology Entrepreneurs.

Swarrnim combines experienced faculty, advanced AI laboratories, practical learning, research opportunities, internships, startup support, industry collaborations, and placement assistance to prepare students for successful AI careers.

Admissions

Build intelligent solutions. Lead the future.

Artificial Intelligence is redefining every aspect of business, technology, and society. Enquire now to learn about engineering admission, scholarships, curriculum, laboratories, internships, industry partnerships, and career opportunities. Our admission counsellors are ready to guide you every step of the way.