The plumbing AI assumes you already know
Closes the gap most aspiring AI engineers hit first — they can write a little code, but not the programming-and-maths groundwork that machine-learning material takes for granted. It walks from language basics to a working model in PyTorch, with data libraries in between.
Aligned to the PCEP entry-level Python certification
Most “intro to AI” material quietly assumes you already code and still remember your linear algebra. This program refuses that assumption: it teaches the Python and the maths first, then has you build a neural network in PyTorch and finish by pointing a Transformer at a language task. Read it as the runway towards machine learning and deep learning proper, not a destination in itself.
Builds Python from the basics as the program's core.
First hands-on neural network, built in PyTorch.
Closes with applying pre-trained Transformers.
Uses pre-trained models for language tasks.
An on-ramp toward machine-learning study.
Sets up the move into deep learning proper.
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