Department of Engineering and Technology

Artificial Intelligence and
Machine Learning

Department Vision

To provide progressive education and create transformative professionals and leaders to harness the power of technology and make a positive impact on the society

Department Mission

  • Quality Education:To adopt a student centric curriculum delivery process with emphasis on problem solving and programming skills.
  • Innovation: To collaborate with industries and professional bodies and make the students industry ready. To drive innovation through multi-disciplinary research and development activities.
  • Skill Development & Ethics: To endorse additional skill development through student forums and experiential learning. Inculcate human values for a smarter and ethical world.

Program Education Objectives (PEOs)

  • PEO1: Able to practice and implement their success skills like problem solving, communication and collaboration for providing innovative engineering solutions.
  • PEO2: Contribute their AI & ML expertise grounded in computer science as members and leaders of professional engineering teams in multidisciplinary applications, applying knowledge and skills responsibly to contribute to a smarter, ethical society.
  • PEO3: Demonstrate lifelong learning through continued professional development and higher education in top graduate technical, research and management programs.

Program Specific Outcomes (PSOs)

  • PSO1: Graduates will be Proficient in programming and problem-solving skills for developing, managing software and distributed systems.
  • PSO2: Graduates will be able to identify, formulate, predict and solve real world problems by applying principles of Artificial Intelligence & Machine learning.
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?

Extensive 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.

Exemplary Facilities

The Department of AI & ML provides high-functioning labs equipped with industry-leading platforms, including MATLAB, Anaconda 3, Code Blocks etc . Access to this specialized software directly supports our updated curriculum and ensures you gain essential, practical experience with professional tools. This commitment to modern resources makes you fully prepared for the professional demands of the outside world.

Programs Details

Upon completing the B.E programs in Artificial Intelligence and Machine Learning 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.