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AI/ML Internship Program

Build practical AI and Machine Learning skills through Python, data analysis, deep learning, and real-world AI projects. Learn to develop, deploy, and optimize intelligent applications using industry-standard tools and modern AI frameworks.

3 Months (12 Weeks) 100–120 Hours Online Mode 7,000.00 Apply Now

Key Advantages

Develop industry-ready Artificial Intelligence and Machine Learning skills through hands-on projects, modern AI frameworks, and real-world model deployment.

AI & Machine Learning Foundation

Build a strong foundation in Python, mathematics, data preprocessing, and core machine learning concepts.

Data Analysis & Model Building

Learn data visualization, feature engineering, supervised and unsupervised learning using real-world datasets.

Deep Learning & AI Specialization

Master neural networks, TensorFlow, PyTorch, Computer Vision, Natural Language Processing, and AI applications.

Model Deployment & MLOps

Deploy AI models using Flask, FastAPI, ML pipelines, model versioning, Git, and industry-standard MLOps practices.

Modern AI Technologies

Explore Large Language Models (LLMs), AI ethics, optimization techniques, and production-ready AI development workflows.

Capstone Project & Certification

Build an end-to-end AI solution, solve real-world business problems, and earn an internship completion certificate.

Program Description

Weeks 1–2: Python for Data & AI 20 Hours
  • Python Basics (Syntax, Loops, Functions)
  • NumPy & Pandas
  • Data Handling & Preprocessing
  • Working with CSV, Excel & APIs
  • Mini Project: Data Analysis on Real Dataset
Week 3: Mathematics for Machine Learning 10 Hours
  • Linear Algebra (Vectors & Matrices)
  • Probability & Statistics
  • Gradient Descent Intuition
  • Loss Functions & Optimization
Week 4: Data Visualization & EDA 10 Hours
  • Matplotlib & Seaborn
  • Exploratory Data Analysis (EDA)
  • Feature Engineering Basics
  • Project: EDA & Insights Report
Week 5: Supervised Learning 10 Hours
  • Linear & Polynomial Regression
  • Logistic Regression
  • K-Nearest Neighbors (KNN)
  • Model Evaluation (Accuracy, Precision & Recall)
Week 6: Advanced ML Algorithms 10 Hours
  • Decision Trees
  • Random Forest
  • Support Vector Machines (SVM)
  • Hyperparameter Tuning
Week 7: Unsupervised & Reinforcement Learning 10 Hours
  • K-Means Clustering
  • Hierarchical Clustering
  • PCA (Dimensionality Reduction)
  • Model-Based & Model-Free Reinforcement Learning
Week 8: Model Deployment 10 Hours
  • Machine Learning Pipelines
  • Model Saving (Pickle / Joblib)
  • Flask & FastAPI Basics
  • Major Project: End-to-End ML Deployment
Week 9: Deep Learning Fundamentals 10 Hours
  • Neural Networks
  • TensorFlow & PyTorch Basics
  • Backpropagation
  • ANN Use Cases
Week 10: AI Specialization Track 10 Hours
Computer Vision
  • OpenCV
  • Image Classification
  • Face Recognition
Natural Language Processing
  • Text Preprocessing
  • Sentiment Analysis
  • Chatbot Development
Week 11: MLOps & Industry Practices 10 Hours
  • Git & GitHub
  • Model Versioning
  • Ethics in AI & Large Language Models (LLMs)
Week 12: Capstone Project 10 Hours
  • Real-World Case Studies
  • System Design Basics
  • Industry-Level AI Project
  • Project Presentation & Evaluation
Tools & Technologies
  • Python
  • FastAPI
  • Docker
  • N8N
  • LangChain
  • OpenAI API
  • Git
  • GitHub
  • Visual Studio Code (VS Code)
  • SQL
  • Pandas
  • Postman
  • Jupyter Notebook
  • Ollama
  • Qdrant (Vector Database)
  • Hugging Face

Why Choose MPOnline?

Experience industry-focused, mentor-led training designed to make you job-ready.

Others MPOnline
Recorded Videos Live Mentor-led Learning
Generic Assignments Live Industry Projects & Assignments
Generic Certificate Government & TCS JV Certificate from ISO 9001 & CMMI Level 5 (Dev & SVC) Organization
Self Learning Live Training with Dedicated Mentor Support
No Portfolio Development Build an Industry-Ready Portfolio
No Interview Preparation Resume Building, Mock Interviews & Career Guidance
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