COE-XAI - Training Course

COE-XAI

First Year Certification Course on "Explainable AI for Data Science"

Course is designed to make learners

▪ Understand where, when, and why is interpretability/explainability needed

▪ Read, present, and discuss research papers

▪ Formulate, optimize, and evaluate algorithms

▪ Implement state-of-the-art algorithms

▪ Understand, critique, and redefine literature

▪ Goal is to analyze existing work and make new contributions to the field

Next Batch: November 2025

Interested in this course, You can write to coe.exai@cmrit.ac.in

STTP on “Explainable AI and Generative AI for Engineers, Concepts,Tools and applications”

This Short-Term Training Program (STTP) provides a comprehensive blend of theory and practical exposure to the latest advancements in Explainable AI and Generative AI. The program is designed for engineers who seek to enhance their AI-driven decision-making processes while ensuring transparency and accountability.

Through expert-led sessions, hands-on coding exercises, and real-world case studies, participants will gain a deep understanding of:

The fundamental principles of XAI and GenAI
How to interpret and visualize AI models
The role of deep learning and large language models (LLMs) in generative tasks
Implementation of explainability techniques in AI pipelines
Hands-on experience with popular AI libraries and frameworks

Interested in this course, you can write to coe.exai@cmrit.ac.in

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