School of Engineering and Technology

Artificial Intelligence and
Machine Learning

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Shaping the Future with AI & Machine
Learning

The Department of Artificial Intelligence and Machine Learning (AIML) at the Global Academy of Technology (GAT) aims to equip students with a strong foundation in AI and ML technologies, integrating theoretical knowledge with hands-on experience. Students will develop expertise in key areas such as data structures, software engineering, machine learning, and deep learning, enabling them to tackle complex technological challenges. The program emphasizes interdisciplinary applications, fostering innovation through emerging fields like Intelligent Robotics, Quantum Computing, and Blockchain.

Why Choose AI & ML at GAT?

Experienced Comprehensive Learning Resources

A rich department library, e-learning platforms, and industry partnerships ensure a dynamic and flexible learning experience.

Experienced Faculty

Learn from highly qualified educators and industry experts guiding students in academics, research, and real-world problem-solving.

Experienced Facilities

Access cutting-edge labs and research centers, including

Programs Details

Upon completing the B.Tech in Information Science and Engineering students will

Gain expertise in foundational and advanced AI/ML concepts, including Deep Learning, Big Data Analytics, and AI frameworks, to develop intelligent systems.

Apply AI in diverse fields such as Quantum Computing, Robotics, and AR/VR, fostering creativity in solving real-world challenges.

Design and deploy AI-driven web, mobile, and cloud-based applications using tools like Web Frameworks, Core Java, and Cloud Computing.

Understand and address the ethical, societal, and environmental impacts of AI, ensuring responsible and fair implementation of intelligent systems.

  • Machine Learning Engineer
  • Data Scientist
  • AI Research Scientist
  • Robotics Engineer
  • Computer Vision Engineer
  • Natural Language Processing Specialist
  • Big Data Engineer
  • Cybersecurity Expert
  • AI Product Manager
  • AI Consultant

FAQs

AI & ML focuses on machine learning algorithms, deep learning, and automation, whereas traditional Computer Science covers broader computing concepts.

Graduates can become AI engineers, data scientists, robotics experts, or work in automation industries.

Yes, students work on real-world AI applications like chatbots, self-learning systems, and predictive analytics.

Yes, we partner with top AI firms and research labs for internships and projects.