Complete hands-on deep learning, AI engineering and Generative AI tutorial with data science, Tensorflow, GPT, OpenAI
InstructorSundog Education by Frank Kane
Free
The curriculum moves from statistical analysis and classical machine learning to deep learning architectures and modern generative AI workflows.
Instruction includes practical applications such as building movie recommenders, spam classifiers, and a final mammogram classification project.
Editorial course preview
These 2 complementary views highlight concrete, legible examples from the course presentation.
This educational slide illustrates the concept of Self-Attention in machine learning using the example sentence 'I read a good novel' and visual representations of token processing.
Instructor Frank Kane from Sundog Education is introduced in this clear medium shot, seated at a desk with professional audio equipment.
Some learners report broken links and difficulties with library versions that have changed since the original content was recorded. Note that these signals originated in reviews predating the displayed update date, which does not prove a correction has occurred.
One signal suggests the pace can be difficult for those new to the subject matter.
The curriculum aligns well with the goal of transitioning into AI engineering for those with some coding background.