Hello and welcome to the roadmap. This is a roadmap to become a Tensorflow certified developer.

This roadmap includes courses, materials and resources to learn Tensorflow and neural networks, required to become a better Tensorflow developer. I am currently using this roadmap to give the developer exam 😄. This repository has all the notebooks and notes I have created to get the certificate. These resources/materials maybe in Hindi or English language.

✔️ : Done
⌛ : In progress

Theory:

• ✔️Neural Networks
• ✔️Krish Naik live sessions
• ✔️Deep learning specialization
• Deep Learning and computer vision with Tensorflow by Jose Portilia
• NLP Specialization (Optional)
• Fast.ai courses (Optional)
• MLOps Course by Deeplearning.ai (Optional)

Practical knowledge:

• ✔️ Daniel Bourke's Tensorflow Course (notebooks)
• Advanced Tensorflow Techniques (Optional)

Books:

• ✔️ Hands on Machine Learning by Aurelion Geron
• Deep Learning Book by Ian Goodfellow
• ✔️ Deep Learning for Vision Systems by Mohamed Elgendy

Contribute

These courses are opinionated, I would love to get some reccomendations about resources. If you know better resources, please make sure to fork this repo and make a pull request.
PS If you want to partner-up, holla me up 😄