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.