Artificial Intelligence & Machine Learning
The Vision
The Mission
- M-1: Deliver industry-oriented AI & ML education through experiential learning.
- M-2: Promote research, innovation, and product development in emerging technologies.
- M-3: Establish strong collaborations with leading technology companies and research organizations.
- M-4: Encourage interdisciplinary projects addressing real-world challenges.
- M-5: Prepare students for global careers in AI, Data Science, and Intelligent Systems.
Prof. Amalendu Bag
Professor & Head
Department of Artificial Intelligence & Machine Learning (AI & ML)
Synergy Institute of Technology,
Bhubaneswar
HoD’s Message- Department of Artificial Intelligence & Machine Learning (AI & ML)
Synergy Institute of Technology & Engineering, Bhubaneswar
Greetings!
It is my utmost pleasure to welcome you all to the Department of Artificial Intelligence & Machine Learning (AI & ML) of Synergy Institute of Technology, Bhubaneswar.
The fields of Artificial Intelligence and Machine Learning are changing every facet of our lives, from medicine and economics to smart cities, robotics, cyber security and many more. At Synergy Institute of Technology, we strive to develop future ready engineers having excellent technical knowledge, creativity, ethical principles, and leadership skills.
We provide our learners with a lively academic experience where we blend academic rigor and industrial training together. With the help of advanced laboratory work, project work, coding, internship, workshop, hackathons, and industry connections, students learn about the latest technologies including Machine Learning, Deep Learning, Data Science, Computer Vision, NLP, Generative AI, and Cloud computing.
With the support of our passionate faculty, students are always motivated towards research and innovation along with their involvement in technical contests, certifications, seminars, and collaboration projects. We feel that learning goes beyond the walls of classrooms, and we always try to produce intelligent professionals to solve real-world problems through technologies.
Holistic growth is encouraged at the department through the development of creativity, teamwork, communications skills, and lifelong learning attitude. Our goal is to produce students who will be technically skilled, socially responsible, and ready to face the challenges of Industry 4.0 and beyond.
It is my heartfelt appeal to the aspirant students to join our academic environment and make their journey towards excellence and success. Let’s together create the future through the power of Artificial Intelligence and Machine Learning.
May all our students have an enriching journey academically as well as professionally.
Sincerely,
Prof. Amalendu Bag
Professor & Head Department of Artificial Intelligence & Machine Learning (AI & ML)
Synergy Institute of Technology, Bhubaneswar
Objectives
- Develop practical skills in Artificial Intelligence and Machine Learning.
- Provide industry-recognized certification programs.
- Facilitate internships and placement opportunities.
- Promote startup incubation and entrepreneurship.
- Encourage publication of research papers and patent filing.
- Organize workshops, hackathons, coding competitions, and technical seminars.
Key Focus Areas
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Data Science & Analytics
- Generative AI
- Large Language Models (LLMs)
- Natural Language Processing (NLP)
- Computer Vision
- Robotics & Intelligent Automation
- Cloud AI
- AI Ethics & Responsible AI
- MLOps
Centre Facilities
- High-performance AI Computing Lab
- GPU-enabled Workstations
- Python Programming Lab
- AI Development Environment
- Data Analytics Lab
- IoT & Embedded AI Lab
- Smart Classroom
- Project Development Centre
- Innovation & Startup Cell
Learning Activities
- Industry-led workshops
- Faculty Development Programmes (FDPs)
- AI Bootcamps
- Coding Challenges
- Kaggle Competitions
- Research Projects
- Mini & Major Projects
- Internship Programmes
- Expert Talks by Industry Professionals
- Hackathons and Innovation Challenges
Industry Collaboration
The AI & ML Centre of Excellence focuses on collaborations with leading technology partners for:
- Industry certifications
- Live industrial projects
- Internship opportunities
- Placement support
- Expert mentoring
- Research collaboration
The institute has also highlighted initiatives to strengthen AI and ML training through industry partnerships for student skill development. (Synergy Institute)
Career Opportunities
Students trained through the AI & ML Centre of Excellence can pursue careers as:
- AI Engineer
- Machine Learning Engineer
- Data Scientist
- Data Analyst
- Deep Learning Engineer
- NLP Engineer
- Computer Vision Engineer
- AI Research Engineer
- Generative AI Engineer
- Prompt Engineer
- MLOps Engineer
- AI Product Analyst
- Business Intelligence Analyst
Student Benefits
- Industry-ready technical skills
- Hands-on learning through live projects
- Global certification opportunities
- Internship assistance
- Placement support
- Innovation and startup mentoring
- Research and publication opportunities
- Exposure to cutting-edge AI technologies
Expected Outcomes
- Enhanced employability in AI-driven industries.
- Development of innovative AI solutions for societal and industrial challenges.
- Increased research output through publications and patents.
- Strong industry-academia collaboration.
- Creation of a skilled workforce ready for the rapidly evolving AI ecosystem. (Synergy Institute)
AI & ML Centre of Excellence
Synergy Institute of Technology, Bhubaneswar
Upon successful completion of the Artificial Intelligence & Machine Learning (AI & ML) programme, students will be able to:
CO1: AI Fundamentals
Understand the fundamental concepts, principles, and applications of Artificial Intelligence, Machine Learning, and Data Science to solve real-world engineering problems.
CO2: Programming & Data Analysis
Develop AI applications using Python and analyze, clean, visualize, and preprocess structured and unstructured datasets using industry-standard tools.
CO3: Machine Learning Models
Design, implement, train, evaluate, and optimize supervised and unsupervised machine learning models for predictive analytics and intelligent decision-making.
CO4: Deep Learning
Develop deep learning solutions using Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Transformer-based architectures for image, speech, and text processing.
CO5: Natural Language Processing (NLP)
Build intelligent language-processing systems including chatbots, sentiment analysis, text classification, machine translation, and Large Language Model (LLM)-based applications.
CO6: Computer Vision
Design AI-powered computer vision applications such as object detection, image classification, face recognition, and video analytics.
CO7: Generative AI & Large Language Models
Apply Generative AI techniques using foundation models and Large Language Models (LLMs) to develop intelligent assistants, content generation systems, and AI automation workflows.
CO8: AI Deployment & MLOps
Deploy machine learning models on cloud platforms, implement MLOps practices, and manage the complete AI model lifecycle from development to production.
CO9: AI Ethics & Responsible AI
Evaluate AI systems from ethical, legal, privacy, security, fairness, transparency, and sustainability perspectives while ensuring responsible AI practices.
CO10: Industry Projects & Innovation
Develop industry-oriented AI solutions through live projects, internships, hackathons, research activities, and innovation challenges while demonstrating teamwork, leadership, and professional communication skills.
Programme Outcomes
Students completing the AI & ML programme will be able to:
- Apply AI techniques to solve complex industrial and societal problems.
- Develop intelligent software applications using modern AI frameworks.
- Analyze large datasets to derive meaningful business insights.
- Build predictive, recommendation, and automation systems.
- Work effectively in multidisciplinary AI teams.
- Pursue higher studies, research, entrepreneurship, or careers in AI-driven industries.
- Demonstrate lifelong learning to keep pace with rapidly evolving AI technologies.
Career Readiness Outcomes
Graduates will be prepared for roles such as:
- AI Engineer
- Machine Learning Engineer
- Data Scientist
- Data Analyst
- Deep Learning Engineer
- NLP Engineer
- Computer Vision Engineer
- Generative AI Engineer
- Prompt Engineer
- MLOps Engineer
- AI Research Engineer
- AI Product Analyst
- Business Intelligence Analyst
- AI Consultant
These outcomes are aligned with the institute’s outcome-based education approach and reflect the AI & ML learning objectives published for relevant engineering courses at Synergy Institute of Technology.