Part 1: AI

1. Difference between AI, Machine Learning (ML), and Deep Learning (DL)
2. Concepts

• 2.1 Linear Algebra (vectors, matrices)
• 2.2 Probability and Statistics
• 2.3 Basic Calculus (derivatives and gradients)
• Ref: https://www.amazon.com/Artificial-Intelligence-Synthesis-Nils-Nilsson/dp/1558604677
• Ref: https://www.coursera.org/learn/ai-for-everyone#modules
• Ref: https://www.amazon.com/dp/1777005477

3. Hobby Project

• 3.1 Build a simple chatbot (Funny Chatbot like Angry Chatbot)
• 3.2 Network Anomaly Detection (using the Observability App)
• 3.3 Network Reporting (LLM)

Part 2: Machine Learning

1. Concepts https://www.amazon.com/dp/1777005477