Event Details

ICFOSS is proud to introduce our specialized 120 Hours Paid Internship Program in Hybrid Mode on “Machine Learning through Python”, to help bridge the gap between theoretical knowledge and practical expertise. This hybrid program is meticulously designed to equip participants with essential skills in Python programming and machine learning algorithms, preparing them to tackle real-world problems with cutting-edge AI solutions. Through an impactful final project and a blend of online and offline sessions, this one-month internship offers participants comprehensive training in Python, followed by hands-on experience with various machine learning models and frameworks. In addition to core topics such as regression, clustering, and model evaluation, the program also delves into advanced topics like neural networks.

This internship is designed for undergraduate and postgraduate students with a foundational understanding of programming, mathematics, and data analysis. By the end of the program, participants will not only have a strong grasp of key ML concepts but also the practical skills to implement models on real-world datasets.

The program combines expert-led instruction, practical assignments, an impactful final project and Project Evaluation, ensuring a hands-on, immersive learning experience. Whether you are looking to deepen your understanding of machine learning or enhance your skills in model, this internship will provide the expertise and tools to succeed in the fast-paced world .

Mode of training: Hybrid Mode

Internship Program Overview:

Objectives: The objective of a machine learning internship is to develop algorithms that can learn from data, make predictions, and improve over time. This includes tasks like data preprocessing, model training, evaluation, and optimization. Machine learning aims to create systems that can automatically identify patterns in data, make accurate predictions, and adapt to new, unseen information, ultimately automating decision-making processes across various domains.

This one-month hybrid internship is designed to provide participants with hands-on experience in Python programming and machine learning. The program includes 102 hours of online Python training and Work on real-world project followed by 18 hours of offline machine learning training to ensure comprehensive learning.

Participants will engage in practical assignments and a final project presentation to reinforce their understanding of concepts. The course will also cover model deployment using Streamlit, and an introduction to neural networks using PyTorch and TensorFlow.

Date: Starts from 1^st June 2026

Target Audience: UG/PG Students. [Engineering or Bsc/Msc degrees in fields such as Computer Science, Electronics, Data Analytics, Physics, Mathematics and Statistics etc]

Batch Size: 30 Nos

Prerequisites: Basic Programming Knowledge- Participants should have a foundational understanding of programming concepts, ideally with some experience in Python. Familiarity with variables, data types, loops, conditionals, and functions is recommended.

Mathematics and Analytical Skills: A basic understanding of linear algebra, statistics, and probability will be helpful, especially for grasping machine learning concepts such as regression, classification, and clustering techniques.

Session Plan:

Benefits:

This Machine Learning Internship Program offers a unique opportunity to dive deep into the rapidly advancing fields of ML. With a well-structured curriculum that combines both theoretical foundations and hands-on experience, this program equips participants with the essential skills required to build and deploy intelligent systems. By leveraging popular frameworks, participants will not only gain proficiency in key algorithms and techniques but also develop the confidence to apply them to real-world problems.

Throughout the internship, participants will be guided by industry experts, engage in practical assignments, and complete a final project that will showcase their newfound expertise. Whether you're looking to enhance your technical skills, or prepare for advanced roles, this program will provide the knowledge, tools, and experience to help you succeed.

We look forward to welcoming enthusiastic and driven individuals who are ready to embark on a transformative learning journey, and we are excited to see how they apply their skills to make an impact in the world of machine learning.

Application Dead line : 28^th May 2026

For online payment, the bank accounts details of ICFOSS is provided below:

For Registration, follow: https://forms.gle/EazivFmAY6c3mfAK9

For more details contact at +91 7356610110 | +91 471 2413012 /13 /14 | +91 9400225962 | between 10:00-17:00 hrs) for further clarifications.

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