~Navigating the ML Lifecycle
~Exploring ML Business Use Cases
~Diving Deep into ML Algorithms
~Exploring Artificial Intelligence
~Infrastructure and Tools for AI
~AI Development and Maintenance
~Generative AI: Unleashing Creativity and BeyondChatGPT
~UnveiledUnderstanding Prompt Design
~Risks and Attacks on ML Models
~Regulations and Policies
~Surrounding AI Ethics and Model Governance
~Model Explainability - (Optional Reading)