Machine Learning & Artificial Intelligence
Master AI & ML with hands-on projects, real-world applications, and industry-standard tools.
This program equips students with foundational knowledge and practical experience in Machine Learning and AI. Learn to build, train, and evaluate models using Python, TensorFlow, and other leading frameworks.
₹4,000 + 18% GST
1: Introduction to AI and ML
- Basics of AI & ML
- Types: Supervised, Unsupervised, Reinforcement
- Industry applications (Healthcare, Finance, Retail, etc.)
- ML project lifecycle
👉 Hands-on: Python setup, Jupyter Notebook, first ML model
- Types: Supervised, Unsupervised, Reinforcement
- Industry applications (Healthcare, Finance, Retail, etc.)
- ML project lifecycle
👉 Hands-on: Python setup, Jupyter Notebook, first ML model
2: Data Handling & Preprocessing
- Data types, sources, cleaning & normalization
- Feature engineering, EDA (Pandas & Matplotlib)
👉 Hands-on: Clean & visualize dataset (Titanic, Iris, etc.)
- Feature engineering, EDA (Pandas & Matplotlib)
👉 Hands-on: Clean & visualize dataset (Titanic, Iris, etc.)
3: Supervised Learning Algorithms
- Linear/Logistic Regression, Decision Trees, Random Forest
- k-NN, Naïve Bayes
- Model training, evaluation, accuracy, confusion matrix
👉 Hands-on: Build classification & regression models
- k-NN, Naïve Bayes
- Model training, evaluation, accuracy, confusion matrix
👉 Hands-on: Build classification & regression models
4: Unsupervised Learning & Deep Learning
- Clustering (K-Means, Hierarchical)
- Dimensionality Reduction (PCA, t-SNE)
- Intro to Neural Networks & TensorFlow/Keras
👉 Hands-on: Segmentation, anomaly detection, simple ANN model
- Dimensionality Reduction (PCA, t-SNE)
- Intro to Neural Networks & TensorFlow/Keras
👉 Hands-on: Segmentation, anomaly detection, simple ANN model
5: Applications & Capstone Project
- NLP: Text preprocessing, sentiment analysis
- Computer Vision: Image classification with CNNs
- Ethical AI & deployment challenges
👉 Hands-on: Capstone project (chatbot, image classifier, disease prediction, etc.)
- Computer Vision: Image classification with CNNs
- Ethical AI & deployment challenges
👉 Hands-on: Capstone project (chatbot, image classifier, disease prediction, etc.)
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Tools and Platforms
Python | Jupyter Notebook | Scikit-learn | Pandas | NumPy | TensorFlow | PyTorch | Google Colab
Assessment
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