30-Day AI Study Roadmap

Congratulations on embarking on this 30-day journey to explore and deepen your knowledge of Artificial Intelligence (AI). This roadmap is designed to cover foundational concepts, key algorithms, and practical applications of AI. Adjust the pace based on your prior knowledge and availability.

Week 1: Introduction to AI Fundamentals

• Day 1-2: Overview of AI and Its Applications
• Day 3-5: Understanding Machine Learning Basics
• Day 6-7: Exploring Neural Networks and Deep Learning

Week 2: Machine Learning Algorithms

• Day 8-10: Linear Regression and Logistic Regression
• Day 11-13: Decision Trees and Random Forest
• Day 14-16: Support Vector Machines (SVM)
• Day 17-19: Clustering Algorithms (K-Means, Hierarchical)
• Day 20-21: Dimensionality Reduction (PCA)

Week 3: Deep Learning and Neural Networks

• Day 22-24: Understanding Convolutional Neural Networks (CNN)
• Day 25-27: Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM)
• Day 28-29: Introduction to Generative Adversarial Networks (GAN)
• Day 30: Capstone Project - Implementing a Simple Deep Learning Model

Feel free to explore additional resources, online courses, and practical projects to reinforce your understanding. The provided roadmap is a starting point, and you can delve deeper into specific AI domains such as natural language processing, computer vision, or reinforcement learning based on your interests.