Artificial Intelligence and Machine Learning

Unleashing the Power of AI and ML
Where Innovation Meets Intelligence

Transforming Ideas into Intelligent Systems

The department explores the cutting-edge fields of Artificial Intelligence (AI) and Machine Learning (ML), that drive innovation and revolutionize industries. In an era of unprecedented technological advancements, AI and ML have emerged as key drivers of progress, transforming how we live, work, and interact.

Exploring the societal impact

Beyond technical proficiency, the ethical and responsible use of AI and ML are emphasised. We instill in our students the importance of understanding the societal impact of their work, and the need for addressing issues of fairness, transparency, privacy, and ethics in AI systems.

Artificial Intelligence and machine learning Engineering colleges in Madurai
What we provide?

Why SRM Madurai for AI & ML Engineering?

Our students are well-prepared to embark on successful careers in AI and ML. They possess the skills and expertise sought after by industries across the globe. We equip our graduates to significantly contribute to shaping the future of AI and ML.

Exceptional Faculty

The institution boasts a highly accomplished team of faculty specialized in Artificial Intelligence and Machine Learning. Their expertise spans diverse domains within AI and ML, ensuring students a broad and deep knowledge.

Cutting-Edge Curriculum

Both theoretical foundations and practical applications of AI and ML are meticulously taught with appropriate illustrations and case studies. The curriculum incorporates the latest advancements and emerging trends in the field, making students equipped with the skills and insights needed to tackle real-world challenges.

Well Infrastructure

State-of-the-art infrastructure and well-equipped laboratories are provided to support hands-on learning. Students have access to advanced hardware, software, and computing resources, enabling them to experiment, develop, and test AI and ML models effectively.

Research Opportunities

Research possibilities in AI and ML are ardently encouraged and ably supported. Students have the opportunity to collaborate with faculty on cutting-edge research projects that contribute to advancements in the field. The thought engaging in research nurtures critical thinking, problem-solving abilities, and a deeper understanding of AI and ML concepts are deeply instilled in the minds of the students.

Career Development Support

The institution provides dedicated career –related insights, including resume building, interview preparation, and networking events. The placement-assistance program connects students with top-tier companies seeking Artificial Intelligence and Machine Learning professionals.

Industry Engagement

Strong connections are established with industry partners ensuring that our curriculum remains relevant to current industry needs. Through guest lectures, industry collaborations, and internships, students get to have an insight into real-world scenarios, maintain contacts with industry professionals, and thereby enrich their employability skills.

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A glimpse into the AI & Machine Learning Department

Artificial Intelligence and machine learning Department in SRM Madurai

Why Choose this Department?

Artificial Intelligence (AI) and Machine Learning (ML) are correlated concepts in Computer Science. These two technologies are the most popular for creating intelligent systems. It is a versatile discipline.

Artificial intelligence can be defined as a concept that simulates human thinking capability and behaviour, whereas machine learning is a subset of artificial intelligence that allows machines to learn from data without being explicitly programmed.

It focuses on the foundations of computational mathematics, core areas of computer science, and the latest advancements in Artificial Intelligence And Machine Learning.

Vast Job Opportunities

Core programs in Computer Science help students navigate the ever-changing IT requirements. With a massive explosion in data and its applications, a career in the field of AI and ML is diverse and promising like Big Data Engineer, Business Intelligence Developer, Data Scientist, Machine Learning Engineer, Research Scientist, AI Data Analyst, AI Engineer, Robotics Scientist, etc.

Global Standard Exposure

The programme is designed to give the students enough exposure to the various applications that can be built using the techniques covered in this programme.

The students can apply AI/ML methods, techniques, and tools to the applications. The students will explore the practical components of developing AI apps and platforms.

They will be able to acquire the ability to design intelligent solutions for various business problems in various domains and business applications.

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What do we Aspire for?
Our Vision

To become a centre of excellence in technical education and scientific research in the field of Computer Science and Engineering for the wellbeing of the society.

Our Mission

Producing graduates with a strong theoretical and practical in computer technology to meet the Industry expectation.

Offering holistic learning ambience for faculty and students to investigate, apply and transfer knowledge.

Inculcating interpersonal traits among the students leading to employability and entrepreneurship.

Establishing effective linkage with the Industries for the mutual benefits.

Strengthening Research activities to solve the problems related to industry and society.

Vision and Mission of Artificial Intelligence and machine learning Engineering Department

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Exclusive Facilities at SRM

Technological advancements of our Department

Artificial Intelligence and machine learning Lab
AIML Lab
Why This Lab?

The Artificial Intelligence and Machine Learning lab enable learners to make computers learn so much about the world, so rapidly and flexibly, as humans. This poses many deep and fascinating scientific challenges.

The lab facilitates learners to develop novel Machine Learning (ML) and Artificial Intelligence (AI) methods, i.e., novel computational methods that contain and combine logical and probabilistic techniques as well as supervised, unsupervised and reinforcement learning methods.

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