Cleo Academy

🔑 Introduction

1️⃣ Part 1 - The mechanics of Generative AI

2️⃣ Part 2 - Deepfakes and Fake News: Accelerated by AI 📸

🎥 Deep Fake and Fake News

3️⃣ Part 3 - Rebuilding Trust in Digital Content 💻

🧐 Quiz - Combating disinformation and restoring trust

🚀 Go Further

🔍 Case Study

🧩 Conclusion: Chapter highlights

🔑 Introduction

1️⃣ Part 1 - Generative AI is processing personal data

2️⃣ Part 2 - Intellectual property in the era of Generative AI

🎥 Prompt Injection

3️⃣ Part 3 - Best practices to use generative AI without compromising your data

🧐 Quiz - Should you trust generative AI with your data?

🧩 Conclusion: Chapter highlights

🚀 Go Further

🔑 Introduction - AI development phases

1️⃣ Part 1 - The essential role of humans in the development of AI

2️⃣ Part 2 - Moderation in Generative AI

🎥 Bias in AI

3️⃣ Part 3 - Promote inclusivity in AI generated content

🔍 Case Study - Biases in Text-to-Image Generative AI 📸

🧐 Quiz - Human biases are reflected by AI tools

🧩 Conclusion: Chapter highlights

🚀 Go Further

🔑 Introduction - AI needs Data centers

1️⃣ Part 1 - Measuring generative AI’s carbon footprint 🌿

🎥 AI's needs for water

2️⃣ Part 2 - Mitigating AI’s environmental impact 🌍

3️⃣ Part 3 - The unsustainable growth of Generative AI 🚀

🔍 Case Study: The Impact of AI on Microsoft’s Sustainability Plan

🧐 Quiz - Environmental impacts of AI

🧩 Conclusion: Chapter highlights

🚀 Go Further

🌟 Congratulations on completing the AI course with Cleo Academy! 🌟