Post Complete Roadmap to learn Generative AI in 2 months 👇👇

Complete Roadmap to learn Generative AI in 2 months 👇👇 Weeks 1-2: Foundations 1. Learn Basics of Python: If not familiar, grasp the fundamentals of Python, a widely used language in AI. 2. Understand Linear Algebra and Calculus: Brush up on basic linear algebra and calculus as they form the foundation of machine learning. Weeks 3-4: Machine Learning Basics 1. Study Machine Learning Fundamentals: Understand concepts like supervised learning, unsupervised learning, and evaluation metrics. 2. Get Familiar with TensorFlow or PyTorch: Choose one deep learning framework and learn its basics. Weeks 5-6: Deep Learning 1. Neural Networks: Dive into neural networks, understanding architectures, activation functions, and training processes. 2. CNNs and RNNs: Learn Convolutional Neural Networks (CNNs) for image data and Recurrent Neural Networks (RNNs) for sequential data. Weeks 7-8: Generative Models 1. Understand Generative Models: Study the theory behind generative models, focusing on GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders). 2. Hands-On Projects: Implement small generative projects to solidify your understanding. Experimenting with generative models will give you a deeper understanding of how they work. You can use platforms such as Google's Colab or Kaggle to experiment with different types of generative models. Additional Tips: - Read Research Papers: Explore seminal papers on GANs and VAEs to gain a deeper insight into their workings. - Community Engagement: Join AI communities on platforms like Reddit or Stack Overflow to ask questions and learn from others. Pro Tip: Roadmap won't help unless you start working on it consistently. Start working on projects as early as possible. 2 months are good as a starting point to get grasp the basics of Generative AI but mastering it is very difficult as AI keeps evolving every day. Best Resources to learn Generative AI 👇👇 Google Cloud Generative AI Path (https://www.cloudskillsboost.google/paths/118) AI,Data Science & ML Resources: https://topmate.io/learning_resources/1406977 AI, ML & Deep Learning (httpst.me/airesourcestp/24) NVIDIA AI & LLM Courses: https://intercomuniversity.com/free-courses/artificial-intelligence/nvidia-is-offering-6-ai-llm-courses-for-free/ Learn Python for Free (https://t.me/pythonresourcestp/22) AI Cheat Sheet: https://t.me/airesourcestp/15 Prompt Engineering Course (https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/) Prompt Engineering Guide (https://www.promptingguide.ai/) Data Science Course (https://365datascience.pxf.io/Z6KDgk) Machine Learning with Python Free Course (https://www.freecodecamp.org/learn/machine-learning-with-python/) Machine Learning Free Book (https://t.me/mlresourcestp/16) Resources WhatsApp channel (https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R) Hands-on Machine Learning (https://t.me/mlresourcestp/19) Deep Learning Nanodegree Program with Real-world Projects (https://www.udacity.com/course/deep-learning-nanodegree--nd101) Like this post for more roadmaps ❤️ ENJOY LEARNING👍👍 More Resources on this WhatsApp Channel https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R