The document outlines a comprehensive 11-month curriculum focused on programming and machine learning. It includes foundational topics like Python and data structures, progressing through mathematics, data handling, machine learning fundamentals, and advanced concepts. The program culminates in model deployment and cloud computing strategies.

2. Month 1: Foundations – Programming
Variables, Data types (like numbers, strings, lists),
Loops and Functions
Learn Python Basics

3. Month 1: Foundations – Programming
Numpy, Pandas, Scikit-Learn
Explore Key Libraries

4. Month 2 : Version Control and Data Structures
Committing changes, Branching, Merging
Version Control with Git

5. Month 2 : Version Control and Data Structures
Arrays and Lists, Stacks and Queues, Sorting and
Searching Algorithms
Data Structures and Algorithms

6. Month 3 : Access Data with SQL
SELECT and WHERE, JOIN, GROUP BY and Aggregate
Functions
SQL

7. Month 4: Mathematics
Linear Algebra, Calculus, Probability & Statistics
Math

8. Month 5: Data Handling and Visualization
Removing Missing Values, Transforming Variables,
Encoding Categorical Data
Data Manipulation

9. Month 5: Data Handling and Visualization
Matplotlib and Seaborn
Data Visualization

10. Month 6: Machine Learning Fundamentals
Linear Regression, Decision Trees, Support Vector
Machines
Supervised Learning

11. Month 6: Machine Learning Fundamentals
Clustering, Dimensionality Reduction
Unsupervised Learning

12. Month 7: Building and Training Models with
Advanced Libraries
Tensorflow and Pytorch, Model Training and Evaluation
Advanced Tools

13. Month 8: Advanced Machine Learning
Bagging (e.g., Random Forests, Boosting (e.g.,
AdaBoost, XGBoost)
Ensemble Learning

14. Month 8: Advanced Machine Learning
Neural Network Basics, Backpropagation and
Gradient Descent
Deep Learning

15. Month 9: Specialized Topics
Neural Network Basics, Backpropagation and
Gradient Descent
NLP and Computer Vision

16. Month 10: Model Deployment
Flask or Django, Docker
Deployment

17. Month 11: Cloud and Production
Cloud Platforms (AWS, Google Cloud, or Azure),
Monitoring and Maintenance
Deploy Models on Cloud