Generative AI Learning Path for Beginners

 🎓 Generative AI Learning Path for Beginners

✅ 1. Understand the Basics of AI and Machine Learning

📚 What to Learn:


What is Artificial Intelligence (AI)?


What is Machine Learning (ML)?


Supervised vs. Unsupervised learning


Basics of deep learning


🔧 Resources:


Google AI Crash Course


YouTube: “Intro to AI/ML” videos


FreeCodeCamp and Coursera beginner ML courses


✅ 2. Learn About Neural Networks

📚 What to Learn:


How neural networks work


Layers, neurons, weights, activation functions


Loss function and backpropagation


🔧 Resources:


Book: Neural Networks and Deep Learning by Michael Nielsen (free online)


YouTube: 3Blue1Brown – “Neural Networks” series


✅ 3. Dive into Deep Learning

📚 What to Learn:


Convolutional Neural Networks (CNNs)


Recurrent Neural Networks (RNNs)


Introduction to Transformers


🔧 Tools to Try:


TensorFlow or PyTorch for building models


Google Colab (no setup required)


✅ 4. Learn What Generative AI Is

📚 What to Learn:


What is Generative AI?


Key concepts: Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), Transformers


Real-world uses (chatbots, image generation, code generation)


🔧 Examples:


ChatGPT (text generation)


DALL·E (image generation)


GitHub Copilot (code generation)


✅ 5. Start Playing with Pre-Built Generative AI Tools

🔧 Hands-On Tools:


ChatGPT (OpenAI) – chat and writing tasks


DALL·E – generate images from text


RunwayML – AI video editing


Midjourney – artistic image generation


Canva AI or Adobe Firefly – design-focused AI tools


✅ 6. Learn About Transformers (The Engine Behind ChatGPT)

📚 What to Learn:


Attention mechanism


Encoder-decoder structure


BERT, GPT, T5 models


🔧 Resources:


Hugging Face’s Free Course


Illustrated Transformer blog by Jay Alammar


✅ 7. Try Small Generative AI Projects

🛠 Project Ideas:


Build a chatbot using a pre-trained model


Generate poetry or stories with GPT


Use Hugging Face to fine-tune a model


Use Stable Diffusion to generate custom images


✅ 8. Understand Ethics and Limitations

📚 Topics to Explore:


AI bias and fairness


Copyright issues with generated content


Misinformation risks


🔧 Resources:


OpenAI's AI Ethics articles


AI Now Institute


🎯 Tools You’ll Need as a Beginner

Tool Purpose

Google Colab Run Python code in the cloud

Hugging Face Use and fine-tune AI models

OpenAI API Access ChatGPT, DALL·E, etc.

Git & GitHub Version control and code sharing


✅ Summary: Step-by-Step

📘 Learn AI & ML fundamentals


🧠 Study neural networks and deep learning


🔍 Explore what makes Generative AI work


🧪 Play with tools like ChatGPT and DALL·E


📚 Learn transformers & Hugging Face basics


🛠 Build fun mini-projects


🧭 Understand ethical concerns


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