Apply Now
aiml

Best AI & ML Engineering Colleges in Bangalore

Our artificial engineering course taps into the transformative power of Artificial Intelligence to solve real-world challenges. It is an interdisciplinary field that intersects with computer science, data science, mathematics and human science. Students benefit from state-of-the-art labs and cutting-edge technology, ensuring hands-on experience and practical application of theoretical knowledge. Additionally, our partnership enriches their understanding of cybersecurity challenges, providing an opportunity for certification by the company.

aiml1
Program Highlights

aiml1
Why Choose AI & ML Engineering?

High Demand: AI tools are being utilized across diverse industries to enhance their products and services. With the ongoing advancement of AI technology , there is a growing demand for skilled AI professionals.

Problem Solving: AI graduates can be part of groundbreaking advancements, thereby contributing to solutions for real-world challenges by developing new AI features.

Versatile Career Opportunities: An AI engineering degree opens doors to diverse career opportunities. Opportunities are aplenty in IT services, finance, healthcare, manufacturing, telecommunications, and aerospace.

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.

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.

Simba

Ask Simba

×