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AI & LLMs Roadmap - Beginner

Follow this step-by-step roadmap to master ai_llms at Beginner level

1

Introduction to AI

1 week
  • ▹What is Artificial Intelligence?
  • ▹AI vs Machine Learning vs Deep Learning
  • ▹Applications of AI in Real Life
  • ▹Ethics in AI & Bias Issues
2

Mathematics for AI

3 weeks
  • ▹Linear Algebra Basics (Vectors, Matrices)
  • ▹Calculus for Optimization (Derivatives, Gradients)
  • ▹Probability & Statistics
  • ▹Discrete Math Basics
3

Python for AI

2 weeks
  • ▹Numpy & Pandas
  • ▹Data Visualization (Matplotlib, Seaborn)
  • ▹Scikit-learn Basics
  • ▹Jupyter Notebooks
4

Machine Learning Fundamentals

3 weeks
  • ▹Supervised vs Unsupervised Learning
  • ▹Linear & Logistic Regression
  • ▹Decision Trees & Random Forests
  • ▹Clustering (K-Means, Hierarchical)
  • ▹Evaluation Metrics (Accuracy, Precision, Recall, F1)
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