The document outlines a six-month curriculum for learning computer science and machine learning, starting with the basics and progressing to advanced topics. Each month focuses on specific areas such as programming fundamentals, data structures, machine learning, and specialization in fields like NLP or computer vision. The program includes practical projects, networking strategies, and aims to enhance professional skills throughout.

2. Month 1 - Building Foundations and Getting
Started
Week 1 - 2 Computer Science Fundamentals
Bits and Bytes
Computer Networks
Programming Logic

3. Python Basics
Week 3 - 4
Syntax, Control Structures,
Functions
Month 2 - Learning Python and Data Structures
Data Structures
Week 5 - 6
Arrays, Linked lists, Stacks,
Queues, Trees

4. Week 7 - 8 SQL and Databases
Manage, Query Relational
Databases
Month 3 - Database Management, Data
Manipulation, and Mathematics
Week 9 - 10 Data Manipulation with Numpy and Pandas
Handle Large Datasets, Perform
complex operations

5. Week 11 - 12 Math and Statistics for AI
Linear algebra, Probability,
Calculus, Statistics
Month 3 - Database Management, Data
Manipulation, and Mathematics

6. Week 13 – 14 Exploratory Data Analysis (EDA)
Practice EDA by working with
real datasets from Kaggle
Month 4 - Data Analysis and Core Machine
Learning
Week 15 - 18 Machine Learning Fundamentals
Linear regression, Classification,
clustering, Decision trees

7. Week 19 – 20 MLOps Basics
Docker, FastAPI, and
Kubernetes
Month 5 - Deployment, Specialization, and
Advanced Topics
Week 21 - 22 Portfolio Projects
Projects on Regression and
Classification

8. Week 23 - 24 Introduction to Deep Learning
Neural networks, CNNs, RNNs,
Deep learning architectures
Month 5 - Deployment, Specialization, and
Advanced Topics

9. Week 25 – 26 Specialization in NLP or Computer Vision
Sentiment Analysis for NLP,
object detection for CV
Month 6 - Specialization, Networking, and
Community Engagement
Week 27 - 28 Mastering LangChain and LLMs
Projects on Regression and
Classification

10. Week 29 - 32 Professional Networking and Soft Skills
Enhance your visibility in the
field, Establish relationships
Month 6 - Specialization, Networking, and
Community Engagement