AI & Machine Learning Foundations 12-Weeks

🎯 Suitable For:
Software developers, testers, tech leads, and professionals transitioning into AI/ML roles

📚 Course Type:
Foundational, hands-on, project-based

⏳ Duration:
12 Weeks

🌐 Mode:
Live Online Sessions (2×2 hrs/week)

Weeks 1–2: ML Workflow & Data Foundations

• AI/ML lifecycle, data cleaning, visualization, scaling, encoding

• Tools: Python, NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn

Weeks 3–4: Core ML Algorithms

• Linear/Logistic Regression, Decision Trees, Random Forests, Model Evaluation

• Tools: Scikit-learn

Week 5: Unsupervised Learning

• K-Means Clustering, PCA

• Tools: Scikit-learn

Weeks 6–10: Deep Learning with PyTorch

• MLPs, CNNs, RNNs/LSTMs, backprop, optimizers, transfer learning

• Tools: PyTorch (main), TensorFlow/Keras (overview)

Week 11: Deployment & Responsible AI

• Model persistence, API basics, intro to MLOps, ethics in AI

Week 12: Capstone Project

• Integrate ML/DL techniques in a hands-on final project