Hybrid Intensive · Next batch: April 18, 2026
AI/Machine Learning
Build production ML systems. Neural networks, deployment & MLOps included.
0h
Hours
0+
Students
0
Projects
0/50
Rating
Complete PythonScikit-Learn 1.5TensorFlow 2.16Keras 3OpenCV 4.10
What You'll Master
Complete Python Covered + AI
Math intuition first
Production deployment
Neural nets from scratch
MLOps pipeline
Full Curriculum
1.1 AI vs ML vs Deep Learning - The Big Picture
1.2 History of Artificial Intelligence
1.3 Real-World Applications of AI
1.4 Types of AI - Narrow AI vs General AI
1.5 Understanding Data in AI Systems
1.6 AI Tools & Ecosystem Overview
Real-World Projects
★Multiple Major projects (portfolio-ready, deployed)·● 10+ Mini projects (concept reinforcement)
★ Major Project
House Price Predictor
Ridge/XGBoost + feature engineering + Flask API
★ Major Project
Face Recognition Attendance System
OpenCV + CNN + real-time webcam
● Mini Project
Customer Churn Prediction
Ensemble models + SHAP explainability
● Mini Project
Image Classifier Web App
Transfer Learning + Docker + CI/CD
Certification
AI/ML Engineer Certification
Complete all modules, quizzes, and projects to earn your verified certificate - recognized by top companies and shareable directly to your LinkedIn profile.
LinkedIn ShareablePDF DownloadBlockchain VerifiedIndustry Recognized
Frequently Asked
Your next move
Don't Learn.
Master.
Join thousands who turned their skills into careers. Your portfolio, your certificate, your future - starts here.