Lab Equipments

“Our state-of-the-art computer labs provide high-performance systems and cutting-edge software for hands-on learning."

Department Of AI & Machine Learning

Vision

To make headway for the futuristic world of technology driven by Artificial Intelligence Machine Learning.

Misson

To contribute to building futuristic technology by fostering young talents through quality education and their industry exposure.

To offer the perfect foot-space to students via state-of-the art infrastructure to realize our vision.

Gone are those days when acumen in Engineering or Software sufficed to be at the forefront of a wide scope of career advantages. It's the era of cut throat competition ruled by talents who can carve a niche amongst the rest, which compelled us to introduce this contemporary course to support aspirants of the field to excel.

Admission Criteria

Dates & Deadlines

Faculty & Staff

Financial Aid

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Contact Us

AALIM MUHAMMED SALEGH College Of Engineering, Muthapudupet, Avadi, IAF, Chennai - 600 055.

Info@aalimec.ac.in

+91 9840226899

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FAQ

Honour

Emerging Technology

Cloud Computing

Data Analytics

Data Driven/ Intelligence Marketing

Minor Degree

Embedded and IOT

Business Management

Next-Gen Energy Technologies

Department Goals

To provide undergraduate students with a strong academic foundation in mathematics, programming, data structures, and core Artificial Intelligence and Machine Learning subjects.

To foster a supportive and intellectually stimulating learning environment that promotes critical thinking and problem-solving skills.

To encourage practical exposure through hands-on projects, internships, workshops, seminars, and technical events.

To ensure students maintain high academic standards while developing analytical and computational competencies required in the AI/ML domain.

To develop competent, ethical, and industry-ready AI/ML professionals capable of designing innovative and intelligent systems to address real-world

To continuously enhance and update the curriculum in alignment with emerging technologies and industry demands.

To promote research, innovation, and interdisciplinary collaboration in Artificial Intelligence and Machine Learning.

To nurture leadership qualities and lifelong learning skills, enabling graduates to excel in advanced technical roles and contribute meaningfully to society through responsible AI applications.

An AMS Initiative

BE- CSE - AI & Machine Learning

From Beginner to Industry-Ready

Python Program	Description
Objective:	Learn Python basics and libraries for AIML.
Outcome:	Can manipulate data, write scripts, and prepare datasets for AI/ML.

AI & ML Programs	Description
Objective	Provide an overview of AI & ML concepts without heavy math.
Outcome	Understand AI/ML workflow, basic algorithms, and use cases; prepare for practical courses.

Git & Collaborative Coding	Description
Objective	Learn version control and collaboration tools.
Outcome	Can manage code, collaborate on projects, and maintain a GitHub repository.

Data Analysis & Visualization	Description
Objective:	Explore and visualize datasets for AI/ML.
Outcome:	Can perform exploratory data analysis and prepare datasets.

Introduction to ML	Description
Objective	Learn basic ML algorithms in a practical way.
Outcome	Can implement regression and clustering models on small datasets.

SQL Basics for AI	Description
Objective	Query and manipulate datasets using SQL.
Outcome	Can extract and clean data for ML projects.

Computer Vision Basics	Description
Objective:	Apply AI to image data using simple tools.
Outcome:	Can perform image classification and basic image processing tasks.

Basic NLP	Description
Objective	Process text data and build small NLP models.
Outcome	Can implement sentiment analysis or text classification projects.

Mini Al Projects	Description
Objective	Apply AI/ML skills to small practical projects.
Outcome	Build a small portfolio of AI/ML applications.

AI Model Deployment	Description
Objective:	Make AI models usable via simple deployment tools.
Outcome:	Can deploy ML models on local or cloud platforms.

Cloud AI Basics	Description
Objective	Run AI models on cloud platforms.
Outcome	Can host AI models using free cloud tiers.

AI Ethics & Responsible AI	Description
Objective	Learn responsible Al principles.
Outcome	Can identify ethical issues in AI and suggest solutions.

Generative AI	Description
Objective:	Use pre-trained models for text/image generation.
Outcome:	Can implement simple generative Al applications.

Industry-Oriented Mini Projects	Description
Objective	Apply Al to small real-world datasets.
Outcome	Can design solutions for practical industry problems.

Portfolio Development	Description
Objective	Showcase projects and practical skills.
Outcome	Maintain GitHub portfolio and Kaggle projects.

Intermediate ML Models	Description
Objective:	Learn ensemble models and practical ML techniques.
Outcome:	Can implement Random Forests, Decision Trees, and Gradient Boosting models.

Applied Computer Vision	Description
Objective	Learn object detection and segmentation basics.
Outcome	Can build object detection pipelines on small datasets.

Applied NEP	Description
Objective	Build end-to-end text applications.
Outcome	Can create a basic chatbot or text classifier.

Al for Industry Applications	Description
Objective:	Apply Al to industry-related datasets.
Outcome:	Can design small-scale AI solutions for real-world problems.

Edge AI / TinyML	Description
Objective	Deploy small Al models on mobile or microcontrollers.
Outcome	Can implement AI on low-power devices.

Generative AI Applications	Description
Objective:	Apply generative AI in practical applications.
Outcome:	Can implement text, image, or audio generation using pre-trained models.

AI Model Hosting & Dashboard	Description
Objective	Deploy models interactively with dashboards.
Outcome	Can create web dashboards to showcase Al models.

Departments

Achivements

Information

Lab Equipments

Department Of AI & Machine Learning

Vision

Misson

To contribute to building futuristic technology by fostering young talents through quality education and their industry exposure.

To offer the perfect foot-space to students via state-of-the art infrastructure to realize our vision.

Admission Criteria

Dates & Deadlines

Faculty & Staff

Financial Aid

Contact Us

Do you have more questions?

Read our

Honour

Emerging Technology

Cloud Computing

Data Analytics

Data Driven/ Intelligence Marketing

Minor Degree

Embedded and IOT

Business Management

Next-Gen Energy Technologies

Department Goals

An AMS Initiative

BE- CSE - AI & Machine Learning

AMS AI&ML Staffs

Financial Aid

Important links

Quick links

Other links

Departments

Achivements

Information

Department Of AIML

Lab Equipments

Department Of AI & Machine Learning

Vision

Misson

To contribute to building futuristic technology by fostering young talents through quality education and their industry exposure.

To offer the perfect foot-space to students via state-of-the art infrastructure to realize our vision.

Admission Criteria

Dates & Deadlines

Faculty & Staff

Financial Aid

Contact Us

Do you have more questions?

Read our

Honour

Emerging Technology

Cloud Computing

Data Analytics

Data Driven/ Intelligence Marketing

Minor Degree

Embedded and IOT

Business Management

Next-Gen Energy Technologies

Department Goals

An AMS Initiative

BE- CSE - AI & Machine Learning

AMS AI&ML Staffs

Financial Aid

Important links

Quick links

Other links

Admission Enquiry

Online Fee Payment