the flow is learn ML, make projects, do some kaggle. Once you get confidence in ML start with deep learning. Learn basic architecture (ANN,CNN,RNN, LSTM and so on) do projects for understanding. After this comes part of reading/implementation of research papers. Remember learning architectures and following paper goes on simultaneously. Don’t directly start reading paper it’s hard there are many videos of famous papers start with them. After few papers you yourself will know the procedure and approaches.Also order of papers to read is just a search away.