B.Tech in Artificial Intelligence & Machine Learning
Artificial Intelligence and Machine Learning are transforming industries by enabling systems to analyse data, learn patterns, and make intelligent decisions. The B.Tech in Artificial Intelligence & Machine Learning program at G H Raisoni University equips students with the technical expertise and practical exposure needed to design intelligent systems and data-driven solutions.
The program integrates computer science fundamentals, data analytics, deep learning, automation, and intelligent computing technologies. Students gain hands-on experience through laboratory work, real-world projects, internships, and industry collaborations, preparing them for high-growth technology careers.
Graduates of this program can work in domains such as data science, robotics, automation, AI development, cloud computing, and intelligent software engineering.
Four-year undergraduate engineering program with two semesters.
ICT-enabled smart classrooms for advanced learning experiences.
Collaboration through MoUs with industry and technology partners.
Incubation centre supporting student startups and innovation projects.
Access to virtual laboratories and modern computing facilities.
Participation in NPTEL learning programs and technology initiatives.
AI-driven automation is transforming industries such as manufacturing, healthcare, logistics, and finance by improving efficiency and decision-making.
Organisations are increasingly relying on data analytics and predictive modelling to gain competitive advantage, increasing the demand for AI professionals.
Technologies such as autonomous vehicles, smart cities, digital healthcare systems, and intelligent robotics are powered by AI and machine learning innovations.
There are several postgraduate programs and degrees you can pursue after completing a B.Tech in Artificial Intelligence & Machine Learning, which are as follows:
Possible specializations include Robotics Engineering, Artificial Intelligence, Automation Engineering, Mechatronics Engineering, and Embedded Systems,
Pursue research-oriented studies in Machine Learning, Data Science, Computational Intelligence, or Advanced Computing.
Transition into management roles such as technology management, business analytics, and innovation leadership.
Engage in advanced research in fields such as deep learning, robotics, autonomous systems, and AI ethics.
Students can enhance their career prospects through certifications such as AWS Machine Learning Certification, Google Professional Data Engineer, Microsoft Azure AI Engineer, and TensorFlow Developer Certification,
The program covers programming, machine learning algorithms, data structures, neural networks, deep learning, computer vision, and natural language processing, along with project-based learning and internships.
Entry-level AI engineers and data scientists in India typically earn ₹4–8 LPA, depending on skills and company requirements.
Industries include IT services, fintech, healthcare technology, robotics, autonomous vehicles, e-commerce, and smart manufacturing.
Yes. Students are encouraged to complete industry internships and research projects during semester breaks or final-year projects.