Google’s 8 Hour AI Essentials Course In 15 Minutes
AI Summary
Overview of Google’s AI Essentials Course
- Course Structure
- Module 1: Introduction to AI - Definitions and basics.
- Module 2: Maximizing Productivity with AI Tools - Exploring AI applications.
- Module 3: Prompt Engineering - Designing effective prompts for AI interactions.
- Module 4: Responsible AI - Best practices for ethical AI use.
- Module 5: Staying Ahead of the Curve - Keeping updated with AI advancements.
- Key Definitions
- Artificial Intelligence (AI): Programs completing cognitive tasks.
- Machine Learning: AI using data to make decisions.
- Generative AI: AI generating new content (e.g., text, images).
- Maximizing Productivity
- Importance of prompting in interacting with AI.
- Google promotes a “human in the loop” approach for decision-making.
- Key issues: AI’s knowledge cut-off dates and hallucinations (false information).
- Prompt Engineering Techniques
- Use clear, specific prompts with context.
- Iterative prompting process: refine prompts through feedback.
- Consider examples (zero, one, few-shot prompting) to improve output.
- Chain of Thought prompting for complex tasks.
- Responsible AI
- Awareness of potential harms from biased outputs.
- Importance of representation in data collection and tool development.
- Final Thoughts
- Course assessment included for knowledge retention.