The Department of Artificial Intelligence & Machine Learning at BGS Institute of Technology (BGSIT) was established under Adichunchanagiri University to meet the growing demand for AI professionals. The programme is designed to equip graduates with deep expertise in intelligent systems, data-driven decision-making, and cutting-edge AI technologies.
The department focuses on innovation in deep learning, natural language processing, computer vision, and reinforcement learning. Students work with industry-standard frameworks including TensorFlow, PyTorch, and Scikit-learn in dedicated GPU-equipped laboratories from the early semesters.
Guided by the vision of sustainable development and value-based socio-economic impact, the AI&ML department actively collaborates with industry partners to ensure graduates are prepared for the rapidly evolving technology landscape.
A close-up view of the department — the Head of Department’s message, industry partnerships, laboratory infrastructure and ongoing academic activity.
I welcome you all to the Department of Artificial Intelligence and Machine Learning.
The department works to develop engineering students with strong technical, managerial and social skills. Emphasis spans programming, algorithm design, operating systems, artificial intelligence, machine learning and more. We also improve soft skills, analytical capabilities and communication so students can compete confidently.
We blend academic rigor with hands-on exposure through hackathons, coding contests, quizzes, seminars, paper presentations, and expert talks. Students are encouraged in cultural and sports activities and have achieved notable milestones.
We are confident the department is ready to meet the exciting challenges of the digital era. I wish all the Students and Faculty a great academic career.
Labs support the theory curriculum with hands-on practice, small-group demonstrations and project work. Specific equipment & scheduling is shared with enrolled students each semester.
Eligibility Criteria
Convolutional neural networks, recurrent architectures, GANs, transformers, and end-to-end deep learning model design using TensorFlow and PyTorch.
Deep LearningText classification, sentiment analysis, machine translation, chatbot development, and large language model fine-tuning for real-world applications.
NLPImage recognition, object detection, semantic segmentation, video analytics, and deploying vision models on edge devices for real-time inference.
Computer VisionMarkov decision processes, Q-learning, policy gradient methods, multi-agent systems, and applications in robotics and autonomous navigation.
Reinforcement LearningBig data pipelines, ETL processes, data warehousing, statistical modelling, and visualisation with Tableau, Power BI, and Python analytics libraries.
Data EngineeringDeploying AI models on resource-constrained devices, TinyML, on-device inference, smart sensor integration, and cloud-edge hybrid architectures.
Edge AITo innovate in the fields of artificial intelligence and machine learning for achieving sustainable development and to meet the value based socio-economic needs.
Programme Educational Objectives (PEOs)
Programme Specific Outcomes (PSOs)
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Download the latest ACU scheme syllabus for the AI&ML programme. All curricula are updated to the current academic scheme.
BGSIT's dedicated Placement Cell maintains active relationships with 100+ industry partners, offering structured internship programmes, pre-placement training, and direct campus recruitment drives. The AI&ML department benefits from growing industry demand for AI professionals across every sector.
Top recruiters include global technology leaders such as TCS, Infosys, Wipro, Accenture, and Capgemini, alongside AI-focused product companies. AI&ML graduates command competitive packages driven by the high demand for machine learning and data science talent.
A B.E. AI&ML from BGSIT opens doors to a wide spectrum of high-growth technology roles across every industry sector: