"I’ve completed ‘Structuring Machine Learning Projects’ in Deep Learning Specialization. The remaining two courses (CNN and Sequence Models) , i think that overlap with the DeepLearning.AI TensorFlow Developer Professional Certificate
Would switching to the “DeepLearning.AI TensorFlow Developer Professional Certificate” now be sufficient to land an entry-level AI job, or should I complete both specializations first?
Looking for advice from those who’ve successfully entered the field. Thanks!"
I have not actually ever held a job in the ML field, but my advice is that it would be better to complete DLS Courses 4 and 5 about Convolutional Networks and Sequence Models before you switch to the TF specializations. ConvNets are fundamental to everything in image processing and computer vision and Sequence Models are fundamental to everything in Natural Language Processing (e.g. LLMs). In DLS Prof Ng really gives you the fundamental understanding of the different types of networks. In the TF specializations, they are more focussed on how to apply TF to the problems and assume you already understand the fundamentals that you will learn in DLS.
My recommendation (others may disagree):
DLS Courses 4 and 5 contain exposure to a lot of new material.
There’s nothing “deep” about the material in Courses 1, 2, and 3. Without Courses 4 and 5, you’re just scratching the surface.
Then you can double-up on your experience via the TensorFlow Developer course.
Hi @Noppo, to be honest, in my own experience, completing the courses won’t lead you to a job, what can lead you to a job is understanding what you looking for and creating a path dedicated to that. Build practical projects that you can talk about.
You might have heard a lot about building projects, but it is true, the first screening interview will ask you, “Can you tell me a project that you are proud of, or that was challenging, and how you overcame the challenge?” This is the first screening interview, If you don’t have projects or something that you built on your own, you won’t be able to discuss anything in the call.
The courses help you to build the knowledge for the second phase of the interview process, so most everything that you get here can help you to apply for a job.
If you want real advice on what to learn, search for the job that you want to apply for and the skills and knowledge required, and you can build your curriculum based on that.
I wrote an article about this if you want to take a deeper look at my own experience in a job for ML roles: A Roadmap for ML Interview preparation - Pastor Soto
I hope this helps!