Does DeepLearning.AI have a learning path, or sequence of courses, that they recommend someone take to begin learning AI? All I see is a smorgasboard of courses I could take but I don’t see any guidance on what courses I should take to get started, and in what order I should take them. I need guidance, not a plethora of choices. Thanks.
2 Likes
When I started with Machine Learning, I did the Machine Learning Specialization and then the Deep Learning Specialization. But I have some background in Math.
2 Likes
I have a degree in math so I’m not afraid of math. Have these specializations helped you get the type of job you’re looking for? Many times, I see people remark that while they learned something from the courses they took, their understanding of the topic was still too shallow to help them get an actual job in the field. Thanks.
I to am trying to create a learning path for myself. I do not code and looking to learn how to build agents…any recomendations?
Explore the Short Course offerings. See the left-side menu.
There are are some courses there regarding agents.
I don’t know how much useful work you can do without doing some coding. Certainly your bag of tools will be a little empty without some coding skills.
1 Like
“Getting a job in the field” depends highly on exactly what sort of job you want. Every personal situation - and your reasonable opportunities - are different.
The first thing you have to know is whether you want to create new types of tools, or if you want to use existing tools to solve specific problems.
The most common entry point to ML is if you can apply ML tools to the issues you see at your current job.
Unless you want to create new tools (i.e. creating new essentially methods of machine learning from scratch), a strong high-level math background is not necessary.
@TMosh thanks fo the tip. I wasn’t clear, I do not know how to code, but want to learn enough to build AI agents I can use within my business with AI assistance. The first course I am taking is python for beginners. I am looking for the next courses to build upon that course.
@mrzwee I second @TMosh’s advice-- The short courses will get you up to speed faster, the specializations are more about the ‘nitty gritty’ which I don’t think you are looking for.
Have you seen this?
It seems like you’re looking for a structured learning path to navigate the courses offered by DeepLearning.AI. While they may not provide an explicit sequence, many learners recommend starting with the Machine Learning Specialization, as it lays the foundation for understanding key concepts. From there, moving on to the Deep Learning Specialization can deepen your knowledge. If coding is new to you, consider starting with courses like Python for Beginners before diving into machine learning topics.
2 Likes
many courses are based in Tenseflow. however, more and more people are using Pytorch now. …
Knowing many sets of tools is a good idea.
You seem right about the general trend. See google trends to know which among tensorflow and pytorch is more in use at your place.
Specializations offered by deeplearning.ai mostly rely on keras. Keras 3+ supports multiple backends like tensorflow, pytorch and jax, to name a few. So, you won’t be at a loss by learning from the courses.
also looking to learn hjow to build agents