Currently Empty: ₹0.00



📘 Course Overview
The AI and Machine Learning Internship Program is designed to provide hands-on experience in real-world AI and ML applications. This internship bridges the gap between academic learning and industry practices by offering practical exposure to data preprocessing, model building, deployment, and ethical AI usage. Whether you’re a student or a professional looking to transition into AI, this program will help you gain job-ready skills and build a strong portfolio.
────────────────────────────────────────────────────────────
🌟 Internship Benefits
▸ Get real-world experience working on AI/ML projects
▸ Build end-to-end ML models with industry-standard tools
▸ Receive mentorship from AI professionals
▸ Earn an internship certificate recognized by employers
▸ Enhance your resume and portfolio with live project work
────────────────────────────────────────────────────────────
✅ Eligibility Criteria
▸ Open to students, freshers, and entry-level professionals
▸ Basic understanding of Python and statistics recommended
▸ Passion for data, problem-solving, and AI technologies
────────────────────────────────────────────────────────────
🎯 Learning Objectives
▸ Understand core AI/ML concepts and workflows
▸ Work with real datasets for model training and evaluation
▸ Learn to use tools like Scikit-learn, TensorFlow, or PyTorch
▸ Gain knowledge in supervised, unsupervised, and deep learning
▸ Deploy models and interpret outputs in real-world scenarios
────────────────────────────────────────────────────────────
📚 What You Will Learn
▸ Fundamentals of Artificial Intelligence & Machine Learning
▸ Data cleaning, visualization, and feature engineering
▸ Model selection, hyperparameter tuning, and evaluation
▸ Natural Language Processing and Computer Vision basics
▸ Deployment with Flask, Streamlit, or cloud platforms
────────────────────────────────────────────────────────────
👥 Who Is This Internship For?
▸ College students pursuing Computer Science, Data Science, or related fields
▸ Recent graduates looking to enter AI/ML roles
▸ Professionals shifting into AI or Data Science careers
────────────────────────────────────────────────────────────
🗝️ Key Features of the Internship
▸ Weekly assignments and mini-projects
▸ Capstone project with mentor feedback
▸ Soft skill sessions (resume building, mock interviews)
▸ Access to learning resources and recorded sessions
────────────────────────────────────────────────────────────
📝 Certification & Completion
▸ Internship Certificate on successful project completion
▸ Letter of Recommendation (based on performance)
▸ Portfolio-ready project submission
────────────────────────────────────────────────────────────
💼 Career Outcomes
▸ Enhanced opportunities in AI/ML roles
▸ Stronger profile for job applications and higher studies
▸ Real-world experience to stand out in technical interviews
────────────────────────────────────────────────────────────
Curriculum
- 7 Sections
- 0 Lessons
- 20 Hours
Expand all sectionsCollapse all sections
- Module 1: Introduction to AI and Machine Learning0
- Module 2: Data Preprocessing & Feature Engineering0
- Module 3: Supervised Machine Learning Algorithms0
- Module 4: Unsupervised Learning & Clustering0
- Module 5: Introduction to Deep Learning0
- Module 6: Natural Language Processing (NLP) Basics0
- Module 7: Model Deployment and Optimization0