Core AI concepts, differences between AI, machine learning and deep learning, use cases and model limits.

Principles for writing clear prompts, controlling context, improving answers and reducing common errors.

Practical use of generative AI for text, images, code and productivity, with focus on quality, privacy and verification.

Ethical principles, bias, privacy, security, model limitations and best practices for using AI responsibly.