What is Artificial Intelligence and how does this course prepare me for the industry?

Artificial Intelligence refers to systems that simulate human intelligence to analyze data, recognize patterns, and make decisions. The B.Sc Artificial Intelligence course prepares students through practical labs, projects, and case studies that build strong foundations for careers in AI, data science, analytics, and intelligent digital platforms.

Is the B.Sc Artificial Intelligence course recognized for government jobs?

Yes, the B.Sc in Artificial Intelligence is a recognized undergraduate degree, making graduates eligible for various government and public-sector roles. The degree also qualifies students for competitive exams and higher studies such as M.Sc in Data Science.

Are there practical AI labs at AAFT?

AAFT provides dedicated AI and analytics labs where students practice AI techniques using real datasets, simulations, predictive models, and neural network training in a hands-on learning environment.

What is the duration and fee structure of the B.Sc in Artificial Intelligence?

The B.Sc in Artificial Intelligence at AAFT is a 3-year full-time undergraduate program. The approximate tuition fee is INR 4.82 lakhs, with the final cost subject to additional non-tuition charges.

Can I pursue a Master's abroad after completing this course?

Yes, graduates of the B.Sc in Artificial Intelligence are eligible to pursue Master's programs abroad in AI, machine learning, data science, and related fields, as the curriculum aligns with international academic standards.

BSc in Artificial Intelligence Degree in Noida, Delhi NCR

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B.Sc in Artificial Intelligence Program Details

Batch

2026

Duration

3 Years Degree

Eligibility Criteria

10+2/UG

Course Mode

5 Days a week

B.Sc in Artificial Intelligence Course Overview

The B.Sc in Artificial Intelligence is a future-ready undergraduate degree designed for students who aspire to design, build, and deploy intelligent systems that solve real-world problems. The program introduces the fundamentals of artificial intelligence, programming, mathematics, and ethical AI, and as learning progresses, students go through the complete AI development lifecycle, starting from problem formulation, data preparation, and model development to evaluation, deployment, and monitoring. Through subjects such as machine learning, deep learning, natural language processing, computer vision, and AI system architecture, students gain hands-on experience using Python, AI frameworks, and cloud-based tools. Industry-aligned projects, labs, and research methodologies prepare graduates to confidently work across artificial intelligence, automation, and emerging intelligent technologies.

Why Choose AAFT for B.Sc in Artificial Intelligence Course?

Step into a future-focused learning ecosystem designed to shape analytical thinkers and data-driven problem solvers. Explore the complete data science lifecycle, where numerical reasoning, computational logic, and statistical thinking become part of everyday learning. Study in lab-driven environments that mirror real industry workflows, guided by mentors who are active practitioners in data science and artificial intelligence. Every project, dataset, and industry engagement strengthens your analytical mindset, sharpens technical expertise, and builds solution-oriented thinking, preparing you to emerge as a confident, industry-ready data professional equipped to thrive in an evolving digital economy.

Key Highlights

Learn through an immersive, lab-centric learning model
Create a capstone project showcasing data-driven solutions
Application-oriented curriculum aligned with real-world AI use
Hands-on labs and projects using industry-grade AI tools
Internships and live AI projects for career readiness
Cross-school collaborations enabling multidisciplinary AI exposure
Project-based learning to solve real-world AI challenges

Additional Features

Advanced Deep Learning & Generative AI Training
Production-Ready AI Deployment with MLOps Integration
Scalable AI Architecture & Cloud Production Deployment

Admissions Open 2026 - Apply Today

Who is this The B.Sc in Artificial Intelligence Course for?

The B.Sc in Artificial Intelligence is ideal for students passionate about intelligent systems, emerging technologies, and computational problem-solving. It is well-suited for learners seeking structured training in programming, machine learning, neural networks, and AI fundamentals. The program also appeals to aspiring AI engineers, technologists, and professionals from allied fields looking to transition into AI-driven roles or upskill in intelligent technologies. Overall, the course supports individuals aiming to build robust AI foundations, advance technical expertise, and adapt to evolving industry demands across artificial intelligence, automation, and next-generation digital systems.

Our Alumni Work at

Dedicated Career Resource Cell to help find your dream company with our partner recruiters across the globe.

B.Sc in Artificial Intelligence Program Outcomes

Mathematical and Computational Foundations for Problem Solving

Apply foundational knowledge of mathematics, statistics, and computer science to solve real-world data problems.

Data Acquisition, Processing, and Management

Collect, clean, process, and manage structured and unstructured data using appropriate tools and techniques.

Statistical Analysis and Insight-Driven Decision Making

Analyze datasets using statistical methods and infer meaningful insights to support decision making.

Programming for AI, Automation, and Intelligent Systems

Develop efficient code in languages such as Python for AI, Large language models, and automation.

Ethical and Responsible Artificial Intelligence Practices

Cultivate ethical and responsible AI thinking, ensuring students understand and address issues such as algorithmic bias, fairness, accountability, and transparency in AI systems.

Core Principles of Artificial Intelligence Systems

Gain an understanding of core Artificial Intelligence principles, including intelligent system design, machine perception, and autonomous decision-making.

Foundations and Advanced AI Algorithms

Build proficiency in foundational and advanced AI algorithms, such as supervised and unsupervised learning, heuristic search, neural networks, and reinforcement learning.

Applied Research and Methodological Rigor in AI

Conduct small-scale research projects in Artificial Intelligence, applying ethical practices and standard methodologies.

AI Application Development Using Modern Frameworks

Solidify programming capabilities focused on building AI applications using modern AI development tools and libraries like Python, PyTorch, TensorFlow, and Langchain

Innovation, Hypothesis-Driven Research, and Model Validation

Explore complex AI problems, develop hypotheses, and apply scientific methods to evaluate and validate AI models.

AI-Driven Innovation and Entrepreneurial Problem Solving

Apply Artificial Intelligence understanding to innovate and develop entrepreneurial solutions to societal and business challenges.

AI Deployment, MLOps, and Scalable System Integration

Master AI system deployment in real-world environments, covering MLOps practices like continuous integration, monitoring, version control, and scalable model serving.

Unlock Your Data Science Career

Potential Career Opportunities after B.Sc in Artificial Intelligence Course

AI Engineer

Data Scientist

AI Product Manager

AI Solutions Architect

Machine Learning Engineer

Computer Vision Engineer

NLP Engineer

AI Research Associate

Data Engineer

Edge AI Developer

AI Technical Consultant

Intelligent Systems Analyst

Business Intelligence Analyst

AI Ethics & Governance Analyst

AI Quality Assurance Analyst

MLOps / AI Deployment Engineer

Robotics Process Automation (RPA) Developer

Prompt Engineer / AI Interaction Designer

B.Sc in Artificial Intelligence Course Curriculum Breakdown

Semester 1 - Introduction to AI

Subject 1: Introduction to AI

Understand core AI principles, intelligent agents, search algorithms, and foundational tools used to build and evaluate AI systems.

Subject 2: Computational Techniques

Develop mathematical and statistical foundations, including probability, linear algebra, and calculus, essential for designing and optimizing AI models.

Subject 3: Python Programming-I

Build strong Python programming fundamentals, including data structures, object-oriented concepts, and error handling for AI development.

Subject 4: Structured Query Language

Design and manage efficient databases using SQL and NoSQL systems for storing, querying, and processing large datasets.

Subject 5: Visualization Tools

Create insightful visualizations and dashboards to interpret data patterns, statistical behavior, and AI model outputs.

Semester 2 - Cloud Services for AI

Subject 6: Data Structures using Python

Develop algorithmic problem-solving skills by implementing data structures, analyzing complexity, and designing efficient algorithms using Python.

Subject 7: Machine Learning – I

Build foundational machine learning models using supervised and unsupervised techniques, feature engineering, and performance evaluation metrics.

Subject 8: Python Programming – II

Master advanced Python concepts, concurrency, and design patterns to build scalable, high-performance applications for AI systems.

Subject 9: Big Data & Unstructured Databases

Manage large-scale unstructured data using NoSQL and big data tools for AI-ready, scalable data processing.

Subject 10: Cloud Services for AI

Deploy, monitor, and scale AI models using AWS, Azure, and GCP with containers and CI/CD workflows.

Semester 3 - Prompt Engineering

Subject 1: Deep Learning

Design, train, and evaluate deep learning models using TensorFlow or PyTorch for real-world intelligent applications.

Subject 2: Natural Language Processing – I

Develop foundational NLP skills by processing text data, building language models, and implementing core NLP tasks.

Subject 3: Machine Learning – II

Apply advanced machine learning techniques, ensemble methods, and model optimization strategies to real-world datasets.

Subject 4: Prompt Engineering

Craft, refine, and evaluate prompts to effectively control and deploy large language models across diverse applications.

Subject 5: Computer Vision

Build and deploy computer vision systems using OpenCV and deep learning frameworks for real-world visual intelligence applications.

CARE Online Program

Provides resources and training modules to build professional skills, self-awareness, and job-readiness through assessments, group discussions, and case studies.

Semester 4 - AI Model Deployment

Subject 6: Natural Language Processing – II

Build advanced NLP systems using transformers, attention mechanisms, and language generation for scalable text-based applications.

Subject 7: Generative AI Applications

Design and fine-tune generative models to create text, images, audio, and synthetic data responsibly.

Subject 8: Vision-Based Applications

Develop end-to-end computer vision solutions using deep learning for real-world deployment across healthcare, security, and autonomous systems.

Subject 9: Reinforcement Learning

Implement reinforcement learning algorithms to train intelligent agents through interaction, rewards, and decision-making environments.

Subject 10: AI Model Deployment

Deploy, monitor, and scale AI models using MLOps, cloud platforms, and containerized production pipelines.

EDGE / Professional Practice

Introduces real-world industry practices, teamwork, deadlines, and project execution to bridge academic learning with professional workflows.

Summer Internship

Undertake a mandatory 6–8 week credited internship to gain hands-on industry experience, professional exposure, and career-oriented practical skills.

Semester 5 - Data Collection & Preprocessing

Subject 1: Define Problem Statements & System Architecture

Translate real-world challenges into clear AI problem statements and design scalable system architectures integrating data and AI components.

Subject 2: Building AI Applications

Develop production-ready AI applications by integrating trained models into efficient, reliable, and deployable software systems.

Subject 3: Finding Results & Evaluation

Analyze, interpret, and evaluate AI model outcomes using quantitative metrics to ensure accuracy, reliability, and performance improvement.

Subject 4: Deployment & Monitoring

Deploy AI solutions into live environments and continuously monitor performance, stability, and real-world effectiveness.

Capstone Project (Choose One Specialization)

Apply advanced AI skills through a focused capstone project, demonstrating problem-solving expertise and industry-ready portfolio development.

Final Project Portfolio – Generative AI

Design generative models to create original content using GANs, VAEs, and transformer-based architectures responsibly.

Final Project Portfolio – Agentic AI

Build autonomous intelligent agents using reinforcement learning and multi-agent systems for goal-driven decision-making.

Final Project Portfolio – Responsible AI

Develop ethical AI solutions emphasizing fairness, transparency, explainability, bias mitigation, and privacy-preserving techniques.

Final Project Portfolio – Expert Systems AI

Create knowledge-based expert systems using rule-based reasoning, inference engines, and structured knowledge representation.

Semester 6 - Portfolio Development

Industry Internship

Gain real-world AI experience through structured industry projects, mentor-guided learning outcomes, and professional reporting aligned with career goals.

Book Free Career Counselling

Tools You Will Master in B.Sc in Artificial Intelligence Program at AAFT

1. Data Analysis & Programming Frameworks

Core tools used to collect, clean, analyze, and visualize structured and unstructured data efficiently. Includes: Python, R, NumPy, Pandas, Matplotlib, Seaborn, Jupyter Notebook, SQL, Excel

Industry applications:

Data analysis and reporting across industries

Business intelligence and decision support systems

Data-driven product and market analysis

Financial and risk analytics

Academic and applied research projects

Operational and performance analytics

Exploratory data analysis for machine learning projects

2. Machine Learning & Artificial Intelligence Tools

Technologies used to build, train, evaluate, and deploy predictive and intelligent data-driven models. Includes: Scikit-learn, TensorFlow, PyTorch, Keras, XGBoost, OpenCV, NLP libraries

Industry applications:

Predictive modeling and forecasting solutions

Recommendation systems and personalization engines

Computer vision and image analytics

Natural language processing applications

Fraud detection and anomaly detection

AI-powered automation systems

Intelligent decision-support platforms

3. Big Data, Cloud & Deployment Technologies

Platforms and tools used to manage large-scale data, deploy models, and enable scalable data solutions. Includes: Hadoop, Spark, MongoDB, AWS, Azure, Google Cloud Platform, Docker, Tableau, Power BI

Industry applications:

Big data processing and analytics pipelines

Cloud-based data science and AI deployments

Business dashboards and data visualization systems

Enterprise data warehousing solutions

Scalable machine learning model deployment

Real-time data streaming and analytics

Data-driven enterprise applications

B.Sc in Artificial Intelligence Course Student Projects

Sales & Profit Dashboard

Student Work

Blinkit Dashboard

Student Work

Sales Dashboard

Student Work

Blinkit Dashboard

Student Work

Placements Opportunities

Vansh Kumar

Physicswalla

Komal Prakash

Zipee

Ashish Manocha

VLCC

Abhay Kumar

KPMG

Industry Dean

Dipanjan Sarkar

Dipanjan Sarkar brings over a decade of hands-on and leadership experience in Data Science and Artificial Intelligence, spanning industry, training, consulting, and education initiatives worldwide. He has led data teams and built end-to-end data products across Fortune 100 companies as well as startups. A published author, Google Developer Expert, and Cloud Champion Innovator, DJ has also played a key role in developing some of the world’s earliest end-to-end Generative AI training programs. Passionate about teaching, he enjoys sharing real-world insights and practical knowledge to support others on their AI learning journey.

Industry Dean

Dipanjan Sarkar

What this means for you

Access to 50+ hours of in-person learning
10 Masterclasses to expand your creative horizon

Exclusive internship and placement opportunities
Portfolio review from Dipanjan Sarkar and team

Veteran Teaching Faculty

AAFT boasts of a highly qualified and experienced team of professors who hold impeccable industrial acumen after having led successful careers in their respective fields.

Mr. Ashish Garg

Dean

An Educator and Technology Evangelist with over 25 years of experience in Professional Skill Development for Animation, VFX, .... Game Design, Game Development, Real-Time 3D Content Creation, Virtual Production, AR/VR Development, Metaverse, and Immersive Experience Design. Key skill areas include Leadership & Development, Project Management, Team Management, Creative Learning & Training, Professional Skill Development, Technical Education & Training, Innovative Curriculum & Courseware Design, and Education & Technology Integration.

Mr. Nitish Patil

Assistant Professor

B.Tech, M.Tech in Computer Science & Engineering with specialization in Data Science & Cloud Computing. Over 12 years of .... experience in academics, industry, and project development, focusing on data science, data visualization, database development, and cloud computing. Published 11 research papers in data mining, web mining, and AI, and holds a patent in “Clinical Decision Support System using Artificial Intelligence.” Certified in Oracle, MongoDB, Python (University of Michigan), and Dataiku, and experienced with Tableau and Power BI. Research interests include machine learning (logistic, KNN, SVM, K-means), deep learning (CNN, LSTM, RNN), NLP, computer vision, and MLOps.

Ms. Neema Jha

Assistant Professor

Executive postgraduate in data science with specialization in business intelligence & data analytics from IIIT Bangalore and M..... Tech from GGSIPU Delhi. Over 6 years of academic experience, skilled in SQL, Python, C++, Tableau, Power BI, Excel, and applying machine learning & AI to analytical challenges. Experienced with Big Data tools like Hadoop, Sqoop, and Hive. Research includes the synthesis and growth of semi-organic single crystals and their characterization for optical applications.

Mr. Gaurav Kumar

Assistant Professor

Accomplished data science professional with expertise in data extraction, business intelligence, and analytics, bridging both .... academia and industry. Has mentored students in real-world applications of data science and driven business solutions using data-driven insights. Certifications include Bloomberg Market Concepts (BMC), Google Data Analytics Professional Certificate, Generative AI, AWS, and currently pursuing Microsoft Certified Trainer (MCT).

Latest Software

High-End Computer System

Digital Class-Rooms

Admission Eligibility & Fee Structure

Fee Structure for B.Sc in Artificial Intelligence
Actual fees for per Semester*	INR-100,000/-
Your 1st Installment Fees Includes the Following*
One Time Admission Fee	Rs. 30,000/-
One Time University Enrolment Fee	Rs. 2,200/-

Candidate must have a 10+2 from a recognized university/institution

Candidate must have a minimum of 50% marks in 10+2 (45% for reserved categories)

Candidate need to clear the AAFT Global Entrance Test (GET)

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B.Sc in Artificial Intelligence FAQs

What subjects are covered in the B.Sc in Artificial Intelligence at AAFT?

The B.Sc in Artificial Intelligence at AAFT provides a future-oriented program that is provided under the School of Data Science. Core subjects include:

The basics of artificial intelligence
Python programming
Algorithms and data structures
Machine learning basics
Neural networks
Mathematics for AI
Data analytics foundations

Students are also exposed to interdisciplinary settings that are compatible with such programs as B.Sc in Data Science and Diploma in Data Science, which give them exposure to more advanced studies and industry jobs.

Why should I choose a Bachelor of Science in Artificial Intelligence over a general CS degree?

A Bachelor of Science in Artificial Intelligence is specifically based on intelligent systems, as opposed to general computer science theory. This program focuses on AI-based problem solving, predictive models, and automation (as opposed to a general degree in CS). Students use actual data and instruments in the future technology of analytics, automation and even performance marketing, which partly overlaps with jobs available at a digital marketing institute in the Delhi region where AI-powered insights are becoming an ever more vital requirement.

What is Artificial Intelligence (AI) and how does this course prepare me for the industry?

Artificial Intelligence (AI) can be defined as the systems that imitate human intelligence and analyze data, acquire patterns and make decisions. This course in artificial intelligence is an AI course that equips its students with practical laboratories, case studies, and projects. Students can acquire exposure to concepts related to the industry by incorporating both analytics and automation, like in a digital marketing training institute. The curriculum is a solid foundation to AI, data science, and intelligent digital platforms careers.

Does the B.Sc Artificial Intelligence curriculum include machine learning and robotics?

The B.Sc Artificial Intelligence course does cover machine learning, and it is one of the core elements of the curriculum, albeit with initial exposure to the concept of robotics. Students learn:

Supervised and unsupervised learning.
Predictive modeling
AI decision systems
Smart automation logic.

The robotics concepts are presented by means of simulation and AI control logic which examines the interaction between intelligent systems and physical and computer environments with the students.

What are the common AI techniques in artificial intelligence taught in this program?

The course concentrates on real-world AI methods in the area of artificial intelligence that are utilized extensively in manufacturing. Key techniques include:

Algorithms of machine learning
Neural networks and deep learning
Natural language processing
Computer vision basics
Predictive analytics

Such methods are used in such areas as healthcare, finance, and even AI-based advertising models implemented in a digital marketing institute.

How does the course help students solve real-world AI problems in artificial intelligence?

AAFT is focused on practical learning to address the real-life AI applications in the field of artificial intelligence. Students deal with live projects, simulations, and case studies based on data. Practical tasks are a reflection of the challenges in other industries like automation, analytics, digital platforms, like AI, in the best digital marketing course in Delhi, to target the audience and optimize performance. This is a strategy that instills confidence in problem-solving and industry preparedness.

Is the AI artificial intelligence course at AAFT recognized for government jobs?

Yes, the AI artificial intelligence course at AAFT is an established undergraduate degree, and therefore, graduates are eligible to work in many government and public-sector jobs where having a Bachelor of Science degree is required. The technical and analytical base of the program is also applicable in the competitive examination and technical test. Also, graduates may continue with graduate programs, including M.Sc in Data Science, which further enhances the ability to work in research and policy-oriented positions.

What are the career prospects after completing a B.Sc in Artificial Intelligence?

B.Sc in Artificial Intelligence graduates have opportunities in a variety of careers. Common roles include:

Students benefit from:

AI analyst
Machine learning associate
Data analyst
Automation engineer
Executive Business intelligence.

Another area where AI-related skills have recently become important is digital advertising and analytics, so graduates can be employed in technologically-oriented jobs in a digital marketing institute in Delhi or international companies.

Does the B.Sc Artificial Intelligence program cover Python and neural networks?

Yes, Python programming and neural networks) are a fundamental part of the curriculum B.Sc Artificial Intelligence program. Python is used by students in data handling, creating algorithms, and building models. Neural networks are trained in stages, beginning with a simple perceptron and progressing to intricate learning structures. The skills are also compatible with analytics processes applied in B.Sc in Digital Marketing online course,s in which AI assists in automation and consumer insights.

Are there practical labs for AI techniques in artificial intelligence at AAFT?

AAFT offers special AI and analytics labs where AI techniques can be practiced in artificial intelligence. Students can learn the practical aspects of working with real data, code base, and simulations. Laboratory tasks involve constructing predictive models, neural network training, and processing massive datasets- like other workflows applied in digital marketing courses after 12th programs that are highly dependent on the insights and automation provided by AI.

What is the duration and fee structure of the Bachelor of Science in Artificial Intelligence?

The Bachelor of Science (B.Sc.) in Artificial Intelligence at AAFT (Asian Academy of Film and Television) Noida is a 3 year full time undergraduate course. This course has an approximate cost of INR 4.82 Lakh in the form of tuition, but the overall cost can change depending on other non-tuition fees.

Can I pursue a Master's abroad after this AI artificial intelligence course?

Graduates are eligible to learn a Master's degree in a foreign country upon completion of this artificial intelligence program in AI. The curriculum is in line with AI, machine learning, and analytics world standards. Numerous students move to foreign AI, data science, or other related programs. The educational background is similar to that provided by internationally acclaimed data science master programs.

Does AAFT provide internships for B.Sc Artificial Intelligence students?

AAFT facilitates B.Sc Artificial Intelligence students by providing academic and industrial exposure to internships. The advantages of the internship are:

AI problem-solving in the real world.
Industry mentorship
Portfolio development
Sensitivity to analytical industries.

Internships can be in AI start-ups, analytics companies, or specific technology-based fields like agencies associated with a digital marketing training school.

How is the Bachelor of Science in Artificial Intelligence relevant to future tech trends?

The Bachelor of Science in Artificial Intelligence is very well aligned with future technology trends like automation, intelligent systems, predictive analytics, and generative AI. Fintech, healthcare, media, and digital advertising are all becoming AI-powered. The competencies acquired during this program can be directly used in the changing roles of AI-driven platforms and even advanced marketing ecosystems with the help of the most advanced course of digital marketing in Delhi.

What are the eligibility criteria for the B.Sc in Artificial Intelligence?

Applicants for the B.Sc in Artificial Intelligence at AAFT need to possess the following requirements:

Educational Qualification: The applicant should have finished 10+2 in a known university or institution.
Minimum Marks: At least 50% aggregate marks in 10+2 required (45% in case of reserved category) is necessary.
Entrance Test: In order to get admission in AAFT, applicants need to pass the AAFT Global Entrance Test (GET).

These requirements guarantee that students possess the academic background and talent to be effective in the professional training of B.Sc in Artificial Intelligence at AAFT.

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B.Sc in Artificial Intelligence

B.Sc in Artificial Intelligence Program Details

B.Sc in Artificial Intelligence Course Overview

Why Choose AAFT for B.Sc in Artificial Intelligence Course?

Key Highlights

Additional Features

Who is this The B.Sc in Artificial Intelligence Course for?

Our Alumni Work at

B.Sc in Artificial Intelligence Program Outcomes

Potential Career Opportunities after B.Sc in Artificial Intelligence Course

B.Sc in Artificial Intelligence Course Curriculum Breakdown

Tools You Will Master in B.Sc in Artificial Intelligence Program at AAFT

B.Sc in Artificial Intelligence Course Student Projects

Placements Opportunities

What this means for you

Veteran Teaching Faculty

AAFT Campus and Infrastructure

Admission Eligibility & Fee Structure

How to Apply for B.Sc in Artificial Intelligence?

Registration

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B.Sc in Artificial Intelligence FAQs

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