The Artificial intelligence and machine learning (AI & ML) course in bhubaneswar are some of the quickest growing technologies that are revolutionizing industries across the world. The AI & ML program at Synergy Institute of Technology, Bhubaneswar, is tailored to ensure that students have all the necessary skills needed to create intelligent systems and technological innovations. Topics covered include machine learning, deep learning, data science, neural networks, natural language processing (NLP), computer vision, robotics, and software development using AI technology. (Synergy Institute of Technology Bhubaneswar)
Highlights
- Industry-oriented Artificial Intelligence & Machine Learning syllabus
- Practical experience using programming languages like Python, TensorFlow, and Data Analytics
- Opportunities for project work and research
- Knowledgeable faculty members and state-of-the-art labs
- Internship and job placement support
- Introduction to cutting-edge technology like Generative AI and Intelligent Automation
Career Options of AI / ML Engineer
- The following career opportunities are open to students:
- AI Engineer
- Machine Learning Engineer
- Data Scientist
- Business Intelligence Analyst
- AI Research Associate
- Software Developer
- Data Analyst
Eligibility Criteria of AI/ML course
Candidates having passed 10+2 Science in Physics, Chemistry, and Mathematics and qualified through JEE Main/OJEE are eligible to apply.
Vision of Artificial Intelligence and Machine Learning (AI & ML)
“To be a center of excellence in Artificial Intelligence and Machine Learning education through grooming innovators who contribute to the development of society via their intelligent solutions and research work.” It reflects our institute’s philosophy towards quality technical education and excellence in engineering.
Mission of Artificial Intelligence & Machine Learning (AI & ML)
To offer high-quality education and hands-on learning to gain knowledge about Artificial Intelligence, Machine Learning, Data Science, Deep Learning, and new technologies.
To develop problem-solving, research, and analytical skills among students that help them build smart systems.
To encourage innovation and entrepreneurship among students with the help of industrial collaborations and projects.
To inculcate professional ethics and leadership qualities among students.
To make graduates ready for AI-driven industries and higher studies.