AI vs. Machine Learning vs. Deep Learning vs. Generative AI

1. 1Define AI and its applications using tools like Python and TensorFlow
2. 2Distinguish Machine Learning from AI by building a simple ML model with scikit-learn
3. 3Explore Deep Learning using frameworks like Keras and PyTorch to understand its capabilities
4. 4Investigate Generative AI models like GANs and VAEs to learn about their potential uses
5. 5Apply the understanding of these concepts to a real-world problem, such as image classification or text generation

Data scientists, AI engineers, and product managers can benefit from understanding the relationships between these concepts to design and implement effective AI solutions

💡 AI is a broad field that encompasses Machine Learning, Deep Learning, and Generative AI, each with its own strengths and applications

🤖 AI, ML, DL, and Generative AI: what's the difference? 🤔