How to finish FastAI course

1. Start from Lesson 1, watch the video, finish the exercise to get a taste of the APIs.
   
2. Continue with the rest of the lessons. Make sure you finish the questionnaire, you can leave the further research questions for the time being.
   
3. If you are stuck, then try to find solutions but don’t stay there too long.
   
4. Lesson which talks about Neural Net foundations is an important one, and the one where you build SGD and a few other models from scratch. Spend extra time on them, a week isn’t a bad idea.
   
5. Run all the notebooks yourself to see the outputs and understand what it happening, if you don’t understand something then refer the various resources.
   
6. If there are additional resources used in the lesson such as excel sheets, they will be available on the repo, always replicate them, excel is a great way to learn things from basics on small examples.
   
7. Once you are in the middle of the course, take a gander of the things and write a couple of blog pieces to crystallise your understanding. They can be on any topics of your choice.
   
8. It’s always a good idea to re run the notebooks and then run them again on a dataset of your choice and see if you can get the good levels of accuracy and if not then what are the hurdles.
   
9. Finish all the lessons at least once. Finishing something entirely gives you a psychological advantage.
   
10. Before wrapping up, go through all the questionnaires from all the lessons and find all the tech papers that were discussed in the lessons.
    
    You are done for 2 weeks.
    
    

After 2 weeks of break, go back to the lessons, from 1 o 2, whatever you prefer and rewatch at 1.5x speed or whatever you prefer. This time take a stab at all the further research questions.

The things to focus in this iteration:

1. Further research questions
   
2. In every lesson there is a central idea, such as SGD from scratch, neural net from scratch, design your own grad etc, try to implement them without taking external help.
   
3. Fill any gaps in understanding of the subject matter through primary and secondary research.
   
   

After or during the first iteration, if there is an idea forming on a particular problem statement that you want to solve then start working in that direction.
Whatever you have learned in these 2 iterations, apply them on your problem statement. Try to finish it fromend to end i.e after finishing it, deploy it or productify it and write an extensive blogpost about it.