Artificial Intelligence & Machine Learning
Acharya Institute of Technology’s Artificial Intelligence & Machine Learning (AI & ML) programme gives students the knowledge and technical expertise needed to develop intelligent systems that can learn, adapt and make data-driven decisions. As a leading AI & ML college in Bangalore, the AI & ML curriculum combines foundations in mathematics, statistics, and computer science with advanced concepts in artificial intelligence and machine learning. The curriculum is designed in a way to prepare students to solve complex real-world problems once they graduate. Students will also gain practical exposure to emerging technologies such as deep learning, computer vision, and natural language processing.
The program, in detail
Program Highlights
- Industry-aligned curriculum covering machine learning, deep learning, computer vision, NLP, and data analytics.
- Hands-on experience with real-world datasets, cloud-based AI platforms, and modern MLOps practices
- Strong emphasis on project-based learning, coding challenges, and AI innovation
- Opportunities to participate in hackathons, technical clubs, and AI development projects
- Certifications and skill enhancement through platforms such as NPTEL, Coursera, LinkedIn Learning, and Infosys Springboard
- Exposure to emerging technologies including robotics, IoT, smart systems, and autonomous applications
- Focus on ethical AI, explainable AI, and responsible data-driven decision making
Research & Innovation
The department promotes a strong research and innovation culture among students and faculty. Research areas include artificial intelligence, machine learning, deep learning, computer vision, natural language processing, data analytics, and intelligent systems.
- Faculty-led and interdisciplinary research projects
- Industry-collaborative AI initiatives
- Research publications and patent development
- Technical paper presentations and conferences
Experiential Learning
The program emphasises experiential learning through practical exposure and industry-oriented activities.
- Hands-on AI and machine learning projects
- Hackathons and coding competitions
- Cloud-based AI development platforms
- Industry workshops and expert sessions
- Internships and industry collaborations
Academic Approach
The department follows an outcome-based and industry-focused learning framework designed to develop both theoretical understanding and practical expertise.
- Outcome-Based Education (OBE)
- Project-Based Learning (PBL)
- Industry-integrated mini and capstone project
- Real-world datasets and case studies
- Continuous evaluation through coding challenges and innovation activities
- Students also gain exposure to modern AI practices including MLOps, model deployment, cloud computing, and ethical AI implementation.
Student Development & Activities
You'll take part in a learning ecosystem that extends beyond the classroom.
- Technical workshops and expert seminars
- Hackathons and coding competitions
- Alumni talks and industry guest lectures
- Student-led technical clubs and innovation initiatives
Career Pathways
AI&ML are transforming industries worldwide and is creating strong demand for skilled professionals. Career opportunities exist across sectors including IT, healthcare, finance, manufacturing, automotive, e-commerce, smart infrastructure, and research organisations.
Students can find opportunities with leading companies such as Infosys, Accenture, Cognizant, Vodafone, MuSigma, Nineleaps, and others. The programme also provides a strong foundation for higher education, research, and entrepreneurship in data-driven technologies.
- AI Engineer
- Machine Learning Engineer
- Data Scientist
- Deep Learning Engineer
- Computer Vision Engineer
- NLP Engineer
- MLOps Engineer
Eligibility
Duration: 4 Years
Eligibility: 10+2 with PCM/PMC/PME + English, min 45%. Age 17+
Entrance Quota: CET/ COMED K / JEE
