Hey guys. I just completed my B.Sc from Computer Science and Engineering. Got some free time so enrolled myself to DLS course. However as the AI is moving forward so fast currently. Would I be able to use any of these knowledge in the real life?
I want to know what are your expectations and what is your current occupation?
Any beginner guideline to begin with from the experts?
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Hi, Turjo.
Welcome to the forum and to the DeepLearning.AI courses.
Of course it depends on your definition of “real life” 
. Since you are already a CS graduate (congratulations on completing your degree!), I assume that your definition of real life includes using CS knowledge in your career. How much did you learn about Machine Learning in your academic degree? If you already have some background, you might find the material redundant. But since you’re already used to academic CS courses, my suggestion would just be to start on DLS Course 1 and see whether it catches your interest. Professor Ng is a really excellent teacher and a world reknowned expert in ML, so I would hope you would find value in his presentations even if you already have some knowledge in the area.
On the point about things moving fast, that’s definitely true of course. E.g. the material in DLS Course 1 are things that were developed probably up to about 2015 or so. But as you progress through all 5 courses, you’ll get up to the technology on which LLMs are based in DLS C5 (Sequence Models including Transformers and Attention). Then there are a lot of newer courses that cover the recent developments in applications of LLMs, Agentic AI and other current topics.
If you’re going to be working in the field, it can’t hurt to have a solid understanding of the fundamentals. When you take math, it is still worth learning about all the things that the Greeks discovered more than 2000 years ago. Of course you also then go on to learn all the things that happened between then and now. In Machine Learning 2015 is a lot more recent than 400BC in math. 
In my opinion, AI is NOT “moving forward so fast.” From AI, I mean maths. In 2017, Attention Is All You Need came out, and still modern LLMs are based on it with minor changes in maths, though those minor changes make computation fast (for instance, Group Query Attention, Multihead Latent Attention, etc.). So, if you study maths, it won’t change. Backpropagation, the backbone of modern AI, is decades old (1980’s).
When people say AI is moving fast, they mean many different architectures and products, not real math behind it. So, feel free to take this DLS as it focuses on maths, rather than any product or specific architecture, though it mentions some famous architectures.