Python & Machine Learning Foundations
Build a strong foundation in Python, statistics, and core ML algorithms
- 32 hours (4 hrs/week)
-
Beginner coders, software engineers transitioning to AI
₹60,000
Course Fee
8 weeks
Duration
5
Modules
Live
Instructor-Led
What You’ll Be Able to Do
- Write Python code for data manipulation and analysis
- Apply statistical concepts to real-world datasets
- Build and evaluate supervised learning models
- Implement clustering and dimensionality reduction
- Create basic neural networks with TensorFlow/PyTorch
Course Highlights
-
NumPy, Pandas, Matplotlib mastery
-
Hands-on with scikit-learn pipelines
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Real datasets: housing prices, customer segmentation
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Neural network fundamentals
-
Weekend/evening batches
Detailed Syllabus
- NumPy for numerical computing
- Pandas for data manipulation
- Matplotlib for visualization
- Data analysis workflows
Module 2: Statistics & Data Handling
- Probability basics
- Exploratory Data Analysis (EDA)
- Data cleaning & preparation
- Feature engineering fundamentals
- Linear & logistic regression
- Classification algorithms
- scikit-learn pipelines
- Model evaluation metrics
Module 4: Unsupervised Learning
- K-Means clustering
- Dimensionality reduction (PCA)
- Anomaly detection
- Customer segmentation project
Module 5: Introduction to Neural Networks
- Perceptrons & feedforward networks
- Backpropagation basics
- TensorFlow / PyTorch introduction
- Building your first neural network
Tools & Technologies
Python
Jupyter Notebook
NumPy
Pandas
Matplotlib
scikit-learn
TensorFlow
PyTorch
GitHub
Capstone Project
End-to-End ML Model Deployment
Build and deploy a complete ML model with dataset preparation, training pipeline, evaluation dashboard, and API-based deployment. Example projects include a loan default predictor or image classifier.
Frequently Asked Questions
Do I need prior programming experience?
Basic programming knowledge is helpful but not mandatory. We start from Python fundamentals and build up gradually.
What's the time commitment per week?
Approximately 4 hours of live sessions plus 2-3 hours of self-study and assignments.
Yes! Every module includes practical exercises and projects. You’ll work with real datasets throughout.
Is this course enough to get an ML job?
This course builds a strong foundation. For production-ready ML skills, we recommend following up with our Applied AI program.
Enroll Now
₹60,000
EMI options available
What’s Included
- Live instructor-led sessions
- Hands-on labs with real datasets
- LMS access with lifetime materials
- Capstone project with feedback
- Certificate of completion
- Interview preparation support
Interview Preparation
All learners get priority access to mock interviews and career support.