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.

Program Highlights

Curriculum covers machine learning, natural language processing, computer vision, robotics, and data science.
AI is a multidisciplinary field that intersects with computer science, mathematics, and engineering.
Students are taught about responsible AI practices.
We have strong ties with industry and research institutions, giving our students opportunities to engage in research.
We equip students with the skills and knowledge sought after by employers.

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 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 oered complimentary Laptop, OBT, AMCAT/Cocube, Global Immersion Program, Softskill training, Domain training & Linkedin Learning Licence.
Fees are indicative, Refer oer letter for the actuals.

Course Content

How to become a machine learning engineer?

To become an expert machine learning engineer, one has to obtain a bachelor degree in computer science, mathematics, statistics, or a related field along with strong data modeling and architecture skills. Expertise in Python, R, or Java programming is mandatory to be a successful machine learning engineer.

What does an AI / Machine Learning Engineer do?

As a Machine learning Engineer one needs to understand the machine learning system, model, or scheme which is designed, developed, and researched. Data science prototypes are studied, transformed, and converted. Prior to performing data collection and data modeling, search for and select appropriate data sets. AI/Machine Learning Engineers are truly changing the world.

Is ML a good career choice?

Yes, AI/Machine Learning is an excellent career track. According to reports, Machine Learning Engineer is the most in-demand job in terms of salary, postings, and general demand.

What is Artificial Intelligence Engineering?

AI Engineering is a combination of research and continuous practice that includes software development, computer vision, system engineering knowledge along with human-centered design to develop AI systems that bring changes to the world.

Best AI & ML Engineering Colleges in Bangalore

Program Highlights

Why Choose AI & ML Engineering?

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