You start by writing code and building web pages, then build full-stack apps, then add AI features, and finish with a complete AI-powered product. By graduation you have at least two live, deployed applications any employer or client can open and test, plus placement preparation and freelancing skills.
The BCA in AI & ML at Tulas Institute teaches you to build real software — not just study it.
You start by writing code and building web pages, then build full-stack apps, then add AI features, and finish with a complete AI-powered product. By graduation you have at least two live, deployed applications any employer or client can open and test, plus placement preparation and freelancing skills.
You graduate with real apps — a deployed personal website in Year 1, a full-stack web app in Year 2, an AI-powered industry project in Year 3, and a final internship or capstone.
Authentication, payments, production features, and advanced React app design.
AI APIs, chatbots, semantic search, RAG pipelines, and AI features at scale.
Pandas, visualisation, dashboards, and prediction — turning data into decisions.
Python · JavaScript · React · Databases & SQL · Cloud Computing · AI Tools
Python, web basics, data structures, SQL — and your first live deployed website.
OOP, cloud computing, freelancing fundamentals, and a full-stack mini project.
Machine learning fundamentals, React, AI tools for developers, and an industry project.
Build a complete AI-powered application and graduate via internship or capstone.
NEP 2020-aligned curriculum with flexibility, multidisciplinary learning, and outcome-based education.
Strong foundation in computing through programming, databases, software engineering, networking, and web technologies.
Specialization opportunities in emerging domains such as Artificial Intelligence, Machine Learning, Full Stack Development, and Cloud Computing.
Industry-integrated learning through live projects, case studies, hackathons, workshops, and expert sessions.
Multiple industry certifications embedded within the curriculum to enhance professional competencies and employability.
Hands-on experiential learning through advanced laboratories, project-based courses, internships, and capstone projects.
Research and innovation ecosystem with opportunities for research projects, publications, patents, and participation in innovation challenges.
Entrepreneurship and startup support through incubation, design thinking, and innovation-driven initiatives.
Comprehensive skill development encompassing communication, leadership, teamwork, critical thinking, and problem-solving abilities.
Excellent career and higher education pathways leading to opportunities in software development, data analytics, cloud computing, artificial intelligence, cyber security, as well as higher studies such as MCA and doctoral research.
Future-ready graduate profile that combines technical expertise, industry readiness, research aptitude, and innovation capabilities to address evolving global technology demands.
A deployed application every year, culminating in an AI-powered capstone product.
Three years of independent, competency-based certification covering the full programme.
NVIDIA, Google, GitHub, freeCodeCamp, and DeepLearning.AI — aligned to your coursework.
Python, JavaScript, React, databases, cloud, and AI tools — not a single narrow track.
Full Stack Web Development, AI Tools & Applications, or Data Analytics.
Freelancing Fundamentals teaches you to find clients and price your own work.
Dedicated Quantitative Aptitude preparation for TCS, Infosys, and Wipro campus tests.
Financial literacy, developer wellness, and data privacy by design in Year 1.
Present your Minor track's capstone project to a panel of industry practitioners.
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