Google Ai Essentials
Published 1/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Master AI Essentials: Learn Prompting, AI Integration, and Safe Practices for Future Growth
What you’ll learn
Explore real-world AI applications with insights from Google engineers.
Build and evaluate simple AI models using Python and TensorFlow.
Analyze ethical implications and future trends in AI technologies.
Requirements
No prior knowledge of AI is required; this course is beginner-friendly.
Description
Overview
Section 1: Welcome to the exciting world of AI
Lecture 1 Introduction to Google AI Essentials
Lecture 2 AI and the future of work
Lecture 3 Learn from AI success stories
Section 2: Discover how AI works
Lecture 4 Explore how AI uses machine learning
Lecture 5 Foundations of generative AI
Lecture 6 Understand the capabilities and limitations of AI
Lecture 7 Vint: Use AI for positive change
Section 3: AI for professionals
Lecture 8 Use AI as a collaborative tool
Lecture 9 Aleck: Make daily tasks easier with AI
Lecture 10 Wrap-up
Section 4: Explore generative AI
Lecture 11 Module 2 introduction: Maximize productivity with AI tools
Lecture 12 Discover generative AI applications
Lecture 13 Tris: My favorite ways to use AI
Lecture 14 Understand how AI tools work
Lecture 15 Transform your work with generative AI
Lecture 16 Work with Gemini
Lecture 17 Manvinder: Ways I use AI in my work
Section 5: The importance of human involvement in AI
Lecture 18 Leverage the human-in-the-loop approach to AI
Lecture 19 Kathy: Explore how people improve AI models
Lecture 20 Determine if generative AI is right for the task
Lecture 21 Wrap-up
Section 6: Large language models and their output
Lecture 23 Understand large language models
Lecture 24 Yufeng: Experiment with prompting
Section 7: Key principles of effective prompt writing
Lecture 25 Write clear and specific prompts
Lecture 26 Leverage an LLM’s capabilities at work
Lecture 27 Improve AI output through iteration
Lecture 28 Discover few-shot prompting
Lecture 29 Rachna: Improve prompts through exploration
Lecture 30 Wrap-up
Section 8: Recognize data bias and AI harms
Lecture 31 Use AI responsibly
Lecture 32 Understand bias in AI
Lecture 33 Identify AI harms
Lecture 34 Emilio: My path to working in responsible AI
Lecture 35 Security and privacy risks of AI
Section 9: AI for social good
Lecture 36 Jalon: My work on the responsible AI team
Lecture 37 Shaun: Develop AI that works for everyone
Lecture 38 Wrap-up
Section 10: Stay informed about AI
Lecture 39 Stay ahead of the AI curve
Lecture 40 Sharbani: The future of AI
Lecture 41 Stay up to date with AI
Lecture 42 Anoop: Become AI-empowered
Section 11: Learn from AI innovation
Lecture 43 Take inspiration from AI innovation
Lecture 44 Reena: Find inspiration in how others have used AI
Lecture 45 Benefits of staying up to date with AI
Lecture 46 Greg: Keep exploring with AI
Lecture 47 Wrap-up
Lecture 48 Google AI Essentials Conclusion
