About Summer Internship

Summer Internship Program in AI and Machine Learning (2026)
The Indian Institute of Computing and Technology (IICT) is pleased to announce its comprehensive 45-day Summer Internship Program focusing on Artificial Intelligence (AI) and Machine Learning (ML). This program is designed to bridge the gap between theoretical knowledge and practical application, offering participants a robust foundation in one of the most transformative fields of modern technology.

Program Overview
The internship is structured into two distinct phases to ensure a holistic learning experience:

Phase I: Structured Coursework (15 Days)
An intensive series of daily lectures covering the core pillars of AI and ML, ranging from Python for Data Science to Neural Networks and Cyber Security.

Phase II: Practical Project Work (30 Days)
Participants will apply their learning to real-world scenarios, developing a comprehensive project under guided supervision.

Schedule & Curriculum
The structured lecture phase will commence on 1st June 2026. The curriculum is outlined below:

Day Topic Date
Day 1 Introduction to AI & ML 15th June 2026
Day 2 Python for Data Science 16th June 2026
Day 3 Data Visualization 17th June 2026
Day 4 Statistics for ML 18th June 2026
Day 5 Data Preprocessing 19th June 2026
Day 6 Supervised Learning 20th June 2026
Day 7 Linear Regression 22nd June 2026
Day 8 Logistic Regression 23rd June 2026
Day 9 KNN Algorithm 24th June 2026
Day 10 Decision Trees & Random Forest 25th June 2026
Day 11 Unsupervised Learning 26th June 2026
Day 12 Neural Networks 27th June 2026
Day 13 Model Evaluation 29th June 2026
Day 14 Mini Project 30th June 2026
Day 15 Cyber Security using AI & ML 01st July 2026

Eligibility & Admission Important Details:
Mode: Fully Online
Capacity: Limited to 1,070 participants only
Selection: Based on a First-Come, First-Served basis.
Stipend: This is non-stipendiary training and internship program.
Training Fee: A nominal fee of Rs 970 is applicable.

Certification Registration Timeline Interested candidates are encouraged to register early to secure their seats.