Roadmap to Learn Generative AI in 50 Days
There is The Given A a Simple and easy Roadmap for who want To learn Generative Ai
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📅 Week 1: Fundamentals
🔹 Day 1–3: Basics of AI ML
🔹 Day 4–5: Understand Neural Networks Deep Learning
🔹 Day 6–7: Intro to Generative AI – What it is real-world use cases
📅 Week 2: Core Techniques
🔹 Day 8–10: Learn Autoencoders
🔹 Day 11–13: Study GANs (Generative Adversarial Networks)
🔹 Day 14: Hands-on: Build a basic GAN using PyTorch/TensorFlow
📅 Week 3: Language Models
🔹 Day 15–17: NLP basics – tokenization, embeddings
🔹 Day 18–20: Transformers Attention Mechanism
🔹 Day 21: Intro to GPT, BERT, LLaMA
📅 Week 4: Image Text Generation
🔹 Day 22–24: Text generation with GPT (using OpenAI API)
🔹 Day 25–27: Image generation – Diffusion Models (like Stable Diffusion)
🔹 Day 28: Hands-on project – text-to-image generation
📅 Week 5: Tools Frameworks
🔹 Day 29–32: Hugging Face, LangChain, OpenAI API
🔹 Day 33–35: Fine-tuning pre-trained models
🔹 Day 36–37: Model deployment basics
📅 Week 6–7: Projects Ethics
🔹 Day 38–43: Build projects (e.g., Chatbot, AI Art, Text Summarizer)
🔹 Day 44–45: Understand Generative AI risks ethics
🔹 Day 46–50: Create a GitHub portfolio + apply for roles

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