There are three types of AI tools: Standalone tools (e.g., ChatGPT, Midjourney), integrated AI features within software (e.g., Gemini in Google Docs), and custom AI solutions tailored for specific problems. Custom AI solutions don't necessarily require technical knowledge but can be helpful in sales or project management scenarios.

When using AI tools, it's important to explicitly state implied context, like communicating that your friend is vegetarian when asking for restaurant recommendations. Including all relevant information in your prompts leads to better outputs as it does in negotiation scenarios.

Zero-shot prompting involves using a prompt with no examples, while few-shot prompting includes one or more examples. The more relevant examples you provide, the more relevant the AI output will be.

For complex tasks, use Chain of Thought prompting by breaking down the task into smaller, manageable steps. This helps the AI model produce more accurate and consistent results, such as writing a cover letter one paragraph at a time.

Understand the limitations of AI, including biases in training data, insufficient data on recent topics, and potential hallucinations (factually inaccurate outputs). Always double-check AI outputs, especially for high-stakes decisions.

The course may not be suitable for those already familiar with AI tools and seeking in-depth use cases, however is it beneficial for beginners due to Google employees teaching, clear graphics explaining complex topics, interactive elements, and curated list of AI tools. The certificate might also attract employers.