Hi @LarengeKamal,
one of our mentors @saifkhanengr published an excellent outline on how a possible course sequence can look like: check out this post!
A quite classic sequence which I observed more and more among fellow learners is:
- AI for everyone (if you are a beginner) [I understand this is where you currently are - pls. correct me if this is not correct]
- machine learning specialization for the basics and core concepts
- deep learning specialization if this suits your plans and you work rather with big unstructured data and want to apply or work with CV, NLP, LLM etc.
- (MLOps, LLM specialization or TF specialization dependent on your requirements and plans)
My take: the best personal sequence for you depends on:
- where you stand now (e.g beginner or medium)
- what you want to achieve (e.g. become an AI engineer in the field of IoT / Automotive)
- your strength and background of the industry you want to work (e.g. background in image processing with focus on sensor fusion and deep learning)
- your timeline, considering how much time you want to invest in your learning roadmap (e.g. 5 hours per week for 8 months or so)
see also this thread: Please help with course selection - #2 by Christian_Simonis
Best regards
Christian