AI & Machine Learning

🤖 AI & Machine Learning Course

📍 Offered by ETU Academy – Learn Smart. Build Real.

 

🧠 Course Overview

This course introduces you to the foundations and applications of Artificial Intelligence and Machine Learning. Learn how to build models, analyze data, and create real-world AI projects using modern tools and frameworks.

 

📚 What You’ll Learn

📌 Module 1: Introduction to AI & Machine Learning

  • What is AI, ML, Deep Learning?

  • Real-world AI Applications

  • History & Future Trends

📌 Module 2: Python for Data Science

  • Python Basics & Libraries (NumPy, Pandas)

  • Data Structures, Loops, Functions

  • Data Cleaning & Manipulation

📌 Module 3: Statistics & Mathematics for ML

  • Probability, Descriptive Statistics

  • Linear Algebra & Calculus for ML

  • Hypothesis Testing

📌 Module 4: Supervised Learning

  • Regression (Linear, Polynomial)

  • Classification (Logistic, k-NN, Decision Trees)

  • Model Evaluation (Accuracy, Precision, Recall)

📌 Module 5: Unsupervised Learning

  • Clustering (K-Means, Hierarchical)

  • Dimensionality Reduction (PCA, t-SNE)

📌 Module 6: Model Deployment Basics

  • Train/Test Split, Cross-validation

  • Model Tuning & Optimization

  • Saving Models with Pickle/Joblib

📌 Module 7: Neural Networks & Deep Learning

  • Introduction to Neural Networks

  • Activation Functions, Optimizers

  • Deep Learning with TensorFlow/Keras

📌 Module 8: Natural Language Processing (NLP)

  • Text Preprocessing (Tokenization, Stopwords)

  • Sentiment Analysis

  • Named Entity Recognition

📌 Module 9: Real-World Projects

  • House Price Prediction

  • Customer Churn Detection

  • AI Chatbot (NLP Based)

  • Image Classifier (Deep Learning)

 

🛠️ Tools & Platforms Used

  • Python, Jupyter Notebook

  • Scikit-Learn, TensorFlow, Keras

  • Pandas, NumPy, Matplotlib

  • Google Colab / VS Code

 

📜 Who Can Enroll?

  • Beginners with basic Python knowledge

  • Data analysts, engineers, students, or working professionals

  • Anyone interested in building a career in AI/ML

 

🎓 Course Features

  • 👨‍🏫 Expert-Led Sessions

  • 💻 Real-Time Projects

  • 📁 Assignments & Resources

  • ✅ Certification Upon Completion

  • 🌐 Offline & Online Batches Available

 

📅 Course Duration

3 to 4 Months | Weekday & Weekend Batches Available

 

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