What is AI & ML Engineering course?

AI & ML Engineering teaches students how machines learn, make decisions, and solve real-world problems using artificial intelligence, machine learning algorithms, and advanced computational techniques.

Can I join after 12th science?

Yes, students with Physics, Mathematics, and a science subject in 12th with a minimum of 45% aggregate marks are eligible to join the AI & ML Engineering program.

Which entrance exams are accepted for admission?

Admissions are offered through KCET, COMEDK, or JEE entrance exams, allowing eligible students to secure a seat in the AI & ML Engineering undergraduate program.

What will I learn in AI & ML Engineering?

Students learn machine learning, deep learning, natural language processing, computer vision, data analytics, AI frameworks, and project-based applications to develop real-world AI solutions.

Do students get practical lab experience?

Yes, students work in advanced labs on AI tools, machine learning projects, simulations, and real-world applications to gain hands-on experience and technical expertise.

Are industry certifications included?

Yes, the program includes industry-aligned certifications, practical projects, and skill development modules to enhance employability and prepare students for real-world AI challenges.

What career options are available after this degree?

Graduates can work as AI engineers, machine learning developers, data scientists, automation specialists, or in robotics, predictive analytics, and AI research roles in industry or academia.

How is AI & ML different from computer science?

AI & ML Engineering emphasizes intelligent systems, learning algorithms, and advanced AI applications, while traditional CS focuses on software, programming, and general computing foundations.

Why study AI & ML Engineering at Acharya?

The program offers real AI skill development, industry projects, advanced labs, mentorship, and career-focused training, preparing students for emerging AI and machine learning opportunities.

Are scholarships available for AI & ML students?

Yes, Acharya offers merit-based and need-based scholarships for AI & ML Engineering students, including full and partial tuition support to encourage academic excellence and reduce financial burden.

Does Acharya provide placement support for AI & ML?

Yes, students receive placement assistance including internship opportunities, industry collaborations, career guidance, and recruitment drives with top technology and AI-focused companies.

Top AI & ML Engineering Colleges in Bangalore

Our Artificial Intelligence & Machine Learning (AI & ML) program is designed to equip students with the knowledge and technical expertise required to develop intelligent systems that can learn, adapt, and make data-driven decisions. As a leading AI & ML college in Bangalore, the curriculum combines foundations in mathematics, statistics, and computer science with advanced concepts in artificial intelligence and machine learning to solve complex real-world problems.

Students gain practical exposure to emerging technologies such as deep learning, computer vision, natural language processing, and data analytics. Through project-based learning, industry exposure, and hands-on experience with real-world datasets and cloud-based AI platforms, the program prepares graduates to build innovative and scalable AI-driven solutions across diverse industries, making it one of the best AI & ML colleges in Bangalore.

Why Choose Artificial Intelligence & Machine Learning at Acharya?

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.

Students are encouraged to participate in:

Faculty-led and interdisciplinary research projects
Industry-collaborative AI initiatives
Research publications and patent development
Technical paper presentations and conferences

Research areas include artificial intelligence, machine learning, deep learning, computer vision, natural language processing, data analytics, and intelligent systems. These opportunities provide early exposure to advanced research and innovation.

Experiential Learning

The program emphasizes experiential learning through practical exposure and industry-oriented activities.

Students gain experience through:

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.

Key academic practices include:

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

Students participate in a vibrant learning ecosystem that extends beyond the classroom.

The department regularly organizes:

Technical workshops and expert seminars
Hackathons and coding competitions
Alumni talks and industry guest lectures
Student-led technical clubs and innovation initiatives

Career Pathways

Artificial Intelligence and Machine Learning are transforming industries worldwide, creating strong demand for skilled professionals. Career opportunities exist across sectors including IT, healthcare, finance, manufacturing, automotive, e-commerce, smart infrastructure, and research organizations.

Students find opportunities with leading companies such as Infosys, Accenture, Cognizant, Vodafone, MuSigma, Nineleaps, and other global technology firms. The program also provides a strong foundation for higher education, research, and entrepreneurship in data-driven technologies.

Graduates can pursue roles such as:

AI Engineer
Machine Learning Engineer
Data Scientist
Deep Learning Engineer
Computer Vision Engineer
NLP Engineer
MLOps Engineer

Program Brochure

Program Overview

Duration : 4 Years
Eligibility : 10+2 with PCM/PMC/PME + English, min 45%. Age 17+.
Entrance Quota : CET/ COMED K / JEE

Program Fee

Refer offer letter for actual fee
Inclusions : Tuition Fee, University Registration, Eligibility Fee, Miscellaneous Fee, Laboratory Fee, Library Fee and Sports Fee.
Exclusions : Uniform & Stationery.
Examination fee as prescribed by the University / Board.
Note : Students are offered complimentary Laptop, OBT, AMCAT/Cocube, Global Immersion Program, Softskill training, Domain training & Linkedin Learning Licence.

Course Content

What is Artificial Intelligence & Machine Learning Engineering?

Artificial Intelligence & Machine Learning Engineering is an interdisciplinary engineering program that integrates computing, data science, mathematics, and intelligent systems to solve real-world problems using AI, machine learning, computer vision, and robotics.

How long is the AI & ML Engineering course at Acharya Institute of Technology?

The program is a 4-year undergraduate B.E. degree approved by VTU, designed to build deep expertise in AI and ML technologies.

What are the eligibility criteria for admission?

Students must pass 10+2/PUC or equivalent with Physics, Mathematics, and one of Chemistry, Biology, Computer Science, or Electronics with a minimum of 45% aggregate marks.

Which entrance exams are accepted for AI & ML Engineering?

Admission typically takes place through common state or national level exams such as KCET, COMEDK, or JEE as per VTU norms.

What core topics are covered in this program?

The curriculum covers machine learning, natural language processing, computer vision, robotics, data science, algorithms, computing architectures, and responsible AI practices.

What kind of laboratories and practical sessions are provided?

Students benefit from state-of-the-art labs and cutting-edge technology environments that support practical implementation of AI and ML concepts.

Are there industry partnerships or certification opportunities?

Yes — the program includes opportunities aligned with industry practices and certifications that strengthen students’ applied knowledge and employability.

What career prospects does the degree offer?

Graduates can pursue careers as AI engineers, machine learning engineers, data scientists, computer vision specialists, robotics developers, and other roles across IT, telecom, healthcare, finance, and automation sectors.

How is this program different from traditional Computer Science?

Unlike plain Computer Science, this program places stronger emphasis on intelligent systems, data modeling, learning algorithms, automation, and real-world AI applications.

Why choose AI & ML Engineering at Acharya?

Acharya’s AI & ML course combines multidisciplinary learning, practical labs, research engagement, industry exposure, and career-relevant skill development tailor-made for the global digital economy.

Best AI & ML Engineering Colleges in Bangalore