Artificial Intelligence and
Machine Learning

Department Vision

To provide progressive education and develop transformative professionals and leaders who harness the power of technology to create a positive impact on 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 industry and professional bodies to prepare students to be industry-ready. To drive innovation through multidisciplinary research and development activities.
  • Skill Development & Ethics:To endorse additional skill development through student forums and experiential learning. To inculcate human values for a smarter and ethical world.

Program Educational Objectives (PEOs)

  • PEO1: Able to practice and implement professional skills such as problem-solving, communication, and collaboration to provide innovative engineering solutions.
  • PEO2: Contribute AI and ML expertise, grounded in computer science, as effective members and leaders of professional engineering teams in multidisciplinary applications while applying knowledge responsibly to build a smarter and ethical society.
  • PEO3: Demonstrate lifelong learning through continued professional development and by pursuing higher education in reputed graduate, technical, research, and management programs.

Program Specific Outcomes (PSOs)

  • PSO1: Graduates will be able to apply programming and problem-solving skills to develop and manage software and distributed systems.
  • PSO2: Graduates will be able to identify, formulate, predict, and solve real-world problems by applying principles of Artificial Intelligence and 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 strong industry partnerships ensure a dynamic and flexible learning experience.

Experienced Faculty

Learn from highly qualified educators and industry experts who guide you in academics, research, and real-world problem-solving.

Exemplary Facilities

The Department of AI & ML provides high-functioning laboratories 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, hands-on experience with professional tools. This commitment to modern resources makes you fully prepared for the professional demands of the industry.

Program Details

Upon completing the B.E program 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 across 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 such as 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 focus 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 such as chatbots, self-learning systems, and predictive analytics.

Yes, we collaborate with leading AI firms and research labs to offer internships and projects.