✭ AI Course basic

• What is AI ML, Model and Deep learning.
• Model, Features and Labels.
• Model: - Mathematical formula
• Supervised, Unsupervised and reinforcement learning.
• Supervised: - Regression and Classification.
• Unsupervised: - Clustering and Dimensionality reduction.
• Q Learning and Deep Q networks.
• Simple regression C# ml.net code.
• Python or C#
• Agent and Generative AI
• Models are already ready so LLM , Speec Model
• Prompt Engineering ( Persona , Task , Context , Constraints and Format)
• Chatgpt vs OpenAI
• Azure AI