12 Best Indian Web Series With Amazing VFX & Animation
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Key Highlights
Duration
36 Months
Hours
365
Method
Full time
Fees
Affordable + EMI Options
Our career counsellor will guide you
Bachelor’s Degree in AI
Bachelor’s Degree in Artificial Intelligence is a comprehensive 36 months professional program designed for students, graduates, and aspiring technology professionals who want to build a strong foundation in Artificial Intelligence, Machine Learning, Data Science, and emerging AI technologies.
This industry-focused program combines theoretical concepts with practical, hands-on training to help learners understand how intelligent systems are designed, developed, and deployed. Students gain expertise in programming, data analysis, machine learning algorithms, deep learning, natural language processing, computer vision, generative AI, and AI-powered application development.
The curriculum is structured to provide real-world experience through projects, case studies, industry assignments, and portfolio development. Learners work with modern AI tools, frameworks, and technologies used by leading technology companies worldwide.
By the end of the program, students will be capable of developing AI-driven solutions, automating business processes, analyzing complex datasets, and creating intelligent applications for industries such as healthcare, finance, retail, manufacturing, education, and digital services.
This program is ideal for individuals seeking careers in Artificial Intelligence, Machine Learning, Data Science, Automation, and other high-growth technology domains, preparing them for the rapidly evolving AI-powered workforce.
What Will You Learn in the Bachelor’s Degree in AI Program?
- Understand the fundamentals of Artificial Intelligence and its real world applications.
- Learn programming concepts using Python for AI and data-driven applications.
- Master data collection, cleaning, preprocessing, and visualization techniques.
- Build and train Machine Learning models for predictive analytics and decision-making.
- Understand supervised, unsupervised, and reinforcement learning methodologies.
- Develop Deep Learning models using neural networks and advanced AI architectures.
- Work with Natural Language Processing (NLP) to create chatbots, text analytics, and language-based AI solutions.
- Learn Computer Vision techniques for image recognition, object detection, and video analysis.
- Explore Generative AI technologies, including Large Language Models (LLMs) and AI content generation.
- Understand AI model deployment, optimization, and cloud-based AI services.
- Gain knowledge of Data Science concepts, statistical analysis, and business intelligence.
- Work with AI frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, and Pandas.
- Develop intelligent applications and AI-powered automation solutions.
- Learn ethical AI practices, responsible AI development, and data privacy principles.
- Gain hands-on experience through industry projects, case studies, and capstone assignments.
- Build a professional portfolio showcasing AI and Machine Learning projects.
- Understand current industry trends, emerging AI technologies, and future career opportunities.
- Develop problem-solving, analytical thinking, and innovation skills required in AI-driven industries.
- Prepare for careers in Artificial Intelligence, Machine Learning, Data Science, and Intelligent Automation.
- Gain practical exposure to real-world AI implementation and deployment workflows.
Course Curriculum
First Semester
| No. | Course Category | Subject Title |
|---|---|---|
| 1 | Major Theory | Python Programming |
| 2 | Major Practical | Artificial Intelligence Major Practical 1 |
| 3 | Minor Theory | Computational Statistics |
| 4 | Minor Practical | Artificial Intelligence Minor Practical 1 |
| 5 | Skill Enhancement Course | Microprocessor and Microcontroller |
| 6 | Value Education Course | Environmental Management 1 |
| 7 | Ability Enhancement Course | Communication Skills in English 1 |
| 8 | Open Elective 1 | Design Thinking |
| 9 | Open Elective 2 | Stress Management 1 |
| 10 | Indian Knowledge System | Indian Knowledge System |
| 11 | Co-Curricular | Health and Wellness (Yoga) |
Key Learning Outcomes – Semester 1
- Python Programming Fundamentals
- Statistical Concepts for AI
- Practical AI Laboratory Skills
- Microprocessor & Embedded Systems Basics
- Communication and Professional Skills
- Design Thinking and Problem Solving
- Personal Development and Wellness
Second Semester
| No. | Course Category | Subject Title |
|---|---|---|
| 1 | Major Theory | Introduction to Operating System |
| 2 | Major Practical | Artificial Intelligence Major Practical 2 |
| 3 | Minor Theory | Introduction to Database Management System |
| 4 | Minor Practical | Artificial Intelligence Minor Practical 2 |
| 5 | Skill Enhancement Course | Introduction to Algorithms |
| 6 | Vocational Skill Course | Web Designing |
| 7 | Value Education Course | Photoshop with AI |
| 8 | Ability Enhancement Course | Communication Skills in English 2 |
| 9 | Open Elective 1 | Video Editing with AI |
| 10 | Open Elective 2 | Environmental Management 2 |
| 11 | Co-Curricular | Health and Wellness 2 |
Key Learning Outcomes – Semester 2
- Operating System Fundamentals
- Database Management Concepts
- Algorithm Design and Problem Solving
- AI Practical Applications
- Web Design and Development Basics
- AI-Powered Creative Tools
- Advanced Communication Skills
- Digital Content Creation with AI
Program Highlights
- Strong Foundation in Artificial Intelligence and Computing
- Hands-on Practical Training Every Semester
- Python Programming for AI Development
- Statistics and Data Analysis Fundamentals
- Database and Operating System Concepts
- Algorithmic Thinking and Problem Solving
- AI-Enabled Design, Editing, and Productivity Tools
- Industry-Relevant Projects and Practical Assignments
- Communication, Leadership, and Professional Development
- Holistic Learning through Wellness and Value-Based Education
This curriculum is designed to build a strong foundation in Artificial Intelligence while developing technical, analytical, creative, and professional skills required for future AI and technology careers.
Software & Tools Covered
The B.Sc. in Artificial Intelligence program provides hands-on training with industry-standard programming languages, AI frameworks, development environments, and productivity tools used in modern AI and data-driven industries.
Programming Languages
- Python
- SQL
- HTML5
- CSS3
- JavaScript (Basics)
AI & Machine Learning Frameworks
- Scikit-learn
- TensorFlow
- PyTorch
- Keras
Data Science & Analytics Tools
- NumPy
- Pandas
- Matplotlib
- Seaborn
- Jupyter Notebook
Database Management Systems
- MySQL
- SQLite
Development Environments
- Visual Studio Code (VS Code)
- PyCharm
- Google Colab
- JupyterLab
Artificial Intelligence & Generative AI Tools
- ChatGPT
- OpenAI API Fundamentals
- Google Gemini
- AI Prompt Engineering Tools
- AI Content Generation Platforms
Computer Vision & Deep Learning Tools
- OpenCV
- TensorFlow Vision Libraries
- Image Processing Tools
Web Development Tools
- HTML
- CSS
- JavaScript
- Bootstrap
Creative & Multimedia Tools
- Adobe Photoshop with AI
- AI Image Generation Tools
- Video Editing with AI Tools
Version Control & Collaboration
- Git
- GitHub
Productivity & Documentation Tools
Microsoft Office
- Word
- Excel
- PowerPoint
Google Workspace
- Docs
- Sheets
- Slides
Operating Systems & Platforms
- Windows
- Linux (Fundamentals)
- Cloud-Based AI Platforms
Industry Applications Covered
- Machine Learning
- Deep Learning
- Data Analysis
- Computer Vision
- Natural Language Processing (NLP)
- Generative AI
- Intelligent Automation
- AI-Powered Web Applications
Practical Exposure Includes
- AI Model Development
- Data Analysis Projects
- Database Design & Management
- Web Application Development
- AI Chatbot Development
- Computer Vision Projects
- Prompt Engineering Projects
- AI-Powered Content Creation
- Industry-Oriented Capstone Projects
Applicable Jobs After Completing the Bachelor’s Degree in AI Course
Graduates of the B.Sc. in Artificial Intelligence program can pursue a wide range of career opportunities in Artificial Intelligence, Data Science, Software Development, Automation, and Emerging Technologies.
Artificial Intelligence & Machine Learning Roles
- Artificial Intelligence (AI) Engineer
- Machine Learning Engineer
- AI Developer
- AI Research Assistant
- AI Application Developer
- Deep Learning Engineer
- Generative AI Specialist
- Prompt Engineer
Data Science & Analytics Roles
- Data Scientist
- Data Analyst
- Business Intelligence Analyst
- Data Engineer
- Junior Data Consultant
- Statistical Analyst
- Data Visualization Specialist
Software & Development Roles
- Python Developer
- Software Developer
- Web Application Developer
- Backend Developer
- Full Stack Developer (with additional skills)
- Application Support Engineer
Computer Vision & NLP Roles
- Computer Vision Engineer
- Image Processing Specialist
- NLP (Natural Language Processing) Developer
- AI Chatbot Developer
- Conversational AI Specialist
Database & System Roles
- Database Administrator (Junior Level)
- Database Developer
- System Support Executive
- IT Operations Associate
Cloud & Automation Roles
- AI Automation Specialist
- Cloud AI Associate
- Intelligent Process Automation (IPA) Executive
- RPA (Robotic Process Automation) Developer
Digital & Emerging Technology Roles
- AI Content Strategist
- AI Product Associate
- AI Solutions Consultant
- Technology Analyst
- Innovation Associate
- Digital Transformation Executive
Entry-Level Career Opportunities
- Junior AI Engineer
- Junior Machine Learning Engineer
- Junior Data Analyst
- AI Support Executive
- AI Testing Engineer
- Technical Support Associate
- Research Associate (AI & Data Science)
Industries Hiring AI Graduates
- Information Technology (IT)
- Software Development Companies
- Artificial Intelligence Startups
- Data Analytics Firms
- E-Commerce & Retail
- Banking & Financial Services
- Healthcare & Medical Technology
- Manufacturing & Automation
- Telecommunications
- Education Technology (EdTech)
- Digital Marketing & Media
- Government & Research Organizations
Career Progression Path
AI Intern / Trainee → Junior AI Engineer → AI Engineer → Senior AI Engineer → AI
Architect → AI Consultant / AI Manager
With practical project experience, industry certifications, and continuous upskilling, graduates can build rewarding careers in one of the fastest-growing technology domains worldwide.
Bachelor's DegreeARTIFICIAL INTELLIGENCE
A complete Bsc AI in Mumbai, from your first line of Python to real generative AI projects.
36 months
Full-time course
30+ industry tools
Python, TensorFlow, PyTorch and more
Capstone projects + portfolio
Build real-world AI projects
100% placement assistance
Career guidance and placement support
Affordable fees + EMI options
Flexible payment options
Eligibility
12th Pass in any stream
Bachelor's Degree in AI - What You Will Actually Be Able to Do in Three Years
In three years you will go from writing your first line of code to building working AI systems. You'll learn Python for artificial intelligence, work with machine learning algorithms, and use natural language processing to build chatbots and text tools. This is a bsc artificial intelligence degree built on doing, not just theory, by the end, you can build AI, not just talk about it.
You learn through hands-on labs every semester, real datasets, real projects, and a capstone you build yourself. It suits someone ready to go deep into Artificial Intelligence and Machine Learning, from the ground up.
Graduates of this degree in artificial intelligence can pursue roles such as AI engineers, machine learning engineers, and data scientists, across IT, AI startups, banking, and healthcare. Whether you're exploring an AI course after 12th or planning a career in artificial intelligence, this degree gets you there.
What You Will Learn in This Bachelor's Degree in AI
Python programming for AI
Data collection, cleaning, preprocessing, visualization
ML models (supervised, unsupervised, reinforcement learning)
Deep learning, neural networks
NLP, chatbots, text analytics
Computer vision, image recognition, object detection
Generative AI, LLMs, prompt engineering
Deployment, cloud AI, portfolio, capstone projects
Six Semesters, Start to Finish - BSc in AI Curriculum
Semester 1
- M1- Foundation of Artificial Intelligence
- M2 – Programming Fundamental Using Python
- M3 – Practical: Python Programming
- Economic for Professional Career
- Design Thinking
Data Handling with Excel - Developer Tool Kit: Linux, Git and GitHub
- Business Communication Skills / Communication Skills
- Environmental Management & Sustainable Development – I
- Indian Knowledge System
- Cocurricular Course – I
Semester 2
- M1 – Data Structure & Algorithms using Python
- M2 – Mathematical Foundation for AI
- M3 – Practical: Mathematical Foundation for AI (NumPy Lab)
- Statistics for Data Science
- Economic for Professional Career – II
- Critical Thinking
- Machine Learning Foundation Lab
- Gen AI and Prompt Engineering
- Business Communication Skills / Communication Skills -II
- Environmental Management & Sustainable Development – II
- Cocurricular Course – I
Semester 3
- M1 – Machine Learning Foundations
- M2 – Data Structures & Algorithms using Python
- M3 – Practical: Machine Learning & DSA Lab
- Database Management Systems for AI
- Linear Algebra & Multivariable Calculus for AI
- Economics for Professional Career – III
- Entrepreneurship & Design Thinking
- Cloud Computing for AI & MLOps
- Data Warehousing and Data Mining
- Cyber Law & Data Privacy for AI
- Cocurricular Course – II
Semester 4
- M1 – Deep Learning Foundations
- M2 – Natural Language Processing
- M3 – Practical: Deep Learning & NLP Lab
- Probability & Statistical Inference for AI
- Practical: Applied Statistics using Python
- Financial Literacy & Digital Payments
- Gen AI and Prompt Engineering Applications
- MLOps & Model Deployment
- Data Analytics & Visualization using Power BI
- Cocurricular Course – III
- Community Engagement Project
Semester 5
- M1 – Computer Vision & Image Processing
- M2 – Practical: Computer Vision Lab
- Elective M3 + M4 – Specialisation Track (choose one) Theory + Practical
- Business Intelligence & Data Storytelling
- Practical: BI Tools Lab – Power BI/Tableau
- Linux & DevOps for AI
- AI Agents & Robotic Process Automation
- Cocurricular Course – IV
- Field Project
Semester 6
- M1 – Advanced Machine Learning & Deep Learning
- AI Ethics, Governance & Explainability
- M3 + M4 Specialisation Track (continued) – Theory + Practical
- Applied Research Methods for AI
- Practical: Capstone Project
- Web Development for AI Applications
- Cybersecurity for AI Systems
- Cocurricular Course – V
- On-the-Job Training / Research Project
30+ Software & Tools You'll Master, Grouped the Way an AI Team Works
You train on the same languages, frameworks, and tools real AI teams use from python for artificial intelligence to the frameworks behind modern generative AI. Nine groups, covering everything from your first script to a deployed AI model.
Python
SQL
JavaScript
HTML5
CSS3
Scikit-learn
TensorFlow
PyTorch
Keras
NumPy
Pandas
Matplotlib
Seaborn
Jupyter Notebook
MySQL
SQLite
VS Code
PyCharm
Google Colab
JupyterLab
ChatGPT
Google Gemini
OpenCV
Bootstrap
Adobe Photoshop (with AI)
Git
GitHub
Microsoft Word
Excel
PowerPoint
Google Docs
Google Sheets
Google Slides
Four Steps to Join the BSc AI at TSIT
1
TALK TO A COUNSELLOR
A free session on the curriculum, the campuses, the fees, and where this degree in Artificial Intelligence can take you.
2
PICK YOUR CAMPUS
Malad, Bandra, Ulhasnagar, Prabhadevi, or Mulund – the same syllabus and the same certificate at each.
3
CONFIRM YOUR SEAT
Pay to hold your place in the upcoming batch.
4
START
Orientation, then your first semester begins.
Artificial Intelligence Career Paths After This Bachelor's Degree
This degree opens doors across artificial intelligence jobs, data science, software development, and automation. Whether you’re exploring a first role or planning a long-term career in artificial intelligence, here’s where graduates go.
Artificial Intelligence & Machine Learning Roles
- Artificial Intelligence (AI) Engineer
- Machine Learning Engineer
- AI Developer
- AI Research Assistant
- AI Application Developer
- Deep Learning Engineer
- Generative AI Specialist
- Prompt Engineer
Data Science & Analytics Roles
- Data Scientist
- Data Analyst
- Business Intelligence Analyst
- Data Engineer
- Junior Data Consultant
- Statistical Analyst
- Data Visualization Specialist
Software & Development Roles
- Python Developer
- Software Developer
- Web Application Developer
- Backend Developer
- Full Stack Developer (with additional skills)
- Application Support Engineer
Computer Vision & NLP Roles
- Computer Vision Engineer
- Image Processing Specialist
- NLP (Natural Language Processing) Developer
- AI Chatbot Developer
- Conversational AI Specialist
Database & System Roles
- Database Administrator (Junior Level)
- Database Developer
- System Support Executive
- IT Operations Associate
Cloud & Automation Roles
- AI Automation Specialist
- Cloud AI Associate
- Intelligent Process Automation (IPA) Executive
- RPA (Robotic Process Automation) Developer
Digital & Emerging Technology Roles
- AI Content Strategist
- AI Product Associate
- AI Solutions Consultant
- Technology Analyst
- Innovation Associate
- Digital Transformation Executive
Entry-Level Career Opportunities
- Junior AI Engineer
- Junior Machine Learning Engineer
- Junior Data Analyst
- AI Support Executive
- AI Testing Engineer
- Technical Support Associate
- Research Associate (AI & Data Science)
Industries Hiring AI Graduates
- Information Technology (IT)
- Software Development Companies
- Artificial Intelligence Startups
- Data Analytics Firms
- E-Commerce & Retail
- Banking & Financial Services
- Healthcare & Medical Technology
- Manufacturing & Automation
- Telecommunications
- Education Technology (EdTech)
- Digital Marketing & Media
- Government & Research Organizations
Career Progression Path
AI Intern / Trainee → Junior AI Engineer → AI Engineer → Senior AI Engineer → AI
Architect → AI Consultant / AI Manager
Companies Hiring for AI Roles in India
From IT majors to fast-growing AI startups, these are the kinds of companies actively hiring for artificial intelligence jobs and AI machine learning jobs across India today.
For Parents — Will AI Replace Jobs or Create New Opportunities?
AI is changing jobs and increasing the need for people who know how to work with it.
AI can automate repetitive tasks, but it also creates demand for professionals who can build, train, deploy, and manage AI systems.
For students, the opportunity is not simply to use AI, but to develop the technical skills needed to understand how it works and apply it to real-world problems.
AI Job Openings Projected in India by 2027
0
Million+
AI Talent Expected to Be Available by 2027
0
Million+
Potential AI Talent Gap by 2027
0
Million+
A skills gap, not a job shortage
Demand for AI talent in India is growing far faster than the supply of trained people — which is exactly why this degree exists now, not why it will disappear.
Source: Bain & Company, 2025
Speak to Our Counsellor
Fill this in and someone from the nearest campus will call you back
Frequently Asked Questions
What is the eligibility for this AI degree course?
You need to have passed 12th (any stream) to apply for this bsc in artificial intelligence program. No prior coding or maths background is required, the course starts from the basics.
What are the BSc AI course fees?
Fees vary by campus and intake, with affordable EMI options available. Talk to a counsellor for the exact fee structure at your preferred campus.
What is the AI engineer salary in India after this degree?
Starting salaries for AI engineer and machine learning roles in India vary by city, company, and specialization, and typically grow quickly with experience and project work. Speak to a counsellor for the latest placement and salary trend data for graduates.
Can I do this AI degree course after 12th commerce?
Yes. This artificial intelligence course after 12th commerce is open to students from any stream, Science, Commerce, or Arts. The course is designed to teach programming and AI from scratch.
Do I need to know Python before joining?
No. Python for artificial intelligence is taught from the first semester, starting with programming basics before moving into AI-specific applications.
Is this degree recognised, and can I study further after it?
Yes, this is a full bachelor of science in artificial intelligence degree, so you can pursue a master’s degree after completing it, the same as any other bachelor’s degree.
What kind of artificial intelligence jobs can I get after this degree?
Graduates can work as AI Engineers, Machine Learning Engineers, Data Scientists, NLP Developers, and more, across IT, banking, healthcare, retail, and e-commerce. See the full list in the Career Outcomes section above.
What are the long-term artificial intelligence career paths after this degree?
Beyond your first job, this degree sets up a full career ladder, from AI Engineer to Senior AI Engineer, AI Architect, and eventually AI Consultant or AI Manager. Many graduates also move into entrepreneurship, building their own AI-based products or consulting practices.
Can I get AI and Machine Learning jobs outside India after this degree?
Yes. AI and machine learning skills are in demand globally, and Python, TensorFlow, PyTorch, and other tools you learn here are industry-standard worldwide. Many graduates also use this degree as a foundation for a master’s abroad before working internationally.
How is this different from a short-term generative AI course?
This is a full 3-year degree covering the entire AI pipeline, programming, machine learning, deep learning, NLP, computer vision, and generative AI.
Which campuses offer this AI degree course in Mumbai?
This AI institute in Mumbai runs the course across 5 campuses: Malad, Bandra, Ulhasnagar, Prabhadevi, and Mulund — same syllabus, same certificate at every location.
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