Overview

Training Program on Basics of Python and Applied Machine Learning (Online Lectures + Hands on training) Centre for Artificial Intelligence in Medicine, Imaging & Forensics (CAIMIF) Starting from 18 Sep - 25 Nov 2024 (52 Hours total)

The "Basics of Python and Applied Machine Learning" training program is designed to empower participants with the essential skills and knowledge needed to excel in the fields of programming and artificial intelligence. This program offers a comprehensive introduction to Python, covering foundational concepts and practical coding techniques. Participants will also explore key AI and machine learning principles, learning how to implement and apply these techniques to real-world problems. Through hands-on projects and guided exercises, attendees will gain practical experience in developing and deploying AI/ML models, equipping them with the tools to navigate the rapidly evolving tech landscape.

 Schedule and Course Details

Timing: 7 pm – 9 pm (evening)

N.B. Certificates will be issued for each Module separately

Registration Link: https://forms.gle/P7HbPmUrukNrexGS9

Fee Structure

Note: Certificates will be issued for each Module separately

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Basics_of_Python_and_Applied_Machine_Brochure_(1).pdf

Objectives of Event

• Foundational Python Skills: Equip participants with a solid understanding of Python programming basics, including data types, control structures, functions, and libraries, to ensure they can write and debug simple Python scripts.   
• Introduction to Machine Learning Concepts: Provide an overview of key AI/ML concepts, such as supervised and unsupervised learning, model evaluation metrics, and common algorithms decision trees, random forests, support vector machines, and neural networks dealing with applications in classification, regression and clustering.
• Practical Application of AI/ML Techniques: Enable participants to apply AI/ML techniques using Python libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow) to solve real-world problems, including data preprocessing, model training, and evaluation.     
• Hands-on Project Development: Guide participants through developing and deploying a simple Machine Learning (ML) project, from problem definition and data collection to model implementation and performance optimization, fostering practical experience and problem-solving skills.

Convener Details

• Prof. Ashok Kumar, Head, Center for AI in Medicine, Imaging & Forensics Sharda University, ashok.kumar6@sharda.ac.in, 8294600356

Co-ordinators:

• Ms. Bushra Khan, Assistant Professor SAHS & member CAIMIF, bushra.khan@sharda.ac.in, 9911694349

Speaker Details:

• C. Mokaju Meitei, chanambam.meitei@sharda.ac.in
• Navita, navita.1@sharda.ac.in
• Sanju, 2022300160.sanju@dr.sharda.ac.in