Objective
Build a strong foundation in artificial intelligence, machine learning, and generative AI concepts.
Topics Covered
- Introduction to Artificial Intelligence & Machine Learning
- AI, ML, and deep learning fundamentals
- Types of Machine Learning
- Supervised, unsupervised, and reinforcement learning
- Introduction to Generative AI
- How generative AI differs from traditional machine learning
- AI Use Cases Across Industries
- Business, healthcare, education, finance, and automation applications
- AI Tools & Development Platforms
- Python, notebooks, APIs, and AI ecosystems
Activity
Explore practical AI use cases and identify opportunities for AI implementation.
