Learn to code with the most creative and exciting AI architectures, generative AI networks, from basic to advanced
InstructorJavier IdeamiThe curriculum provides structured paths for building GANs from scratch and performing practical fine-tuning of LLMs using QLoRA.
Instruction includes line-by-line breakdowns of Python code, which assists in understanding the specific mechanics of generative architectures.
Editorial course preview
These 2 complementary views highlight concrete, legible examples from the course presentation.
This slide demonstrates multimodal AI capabilities by showing four generated images of pineapples in bowls created from a single text prompt, illustrating how models can produce visual elements.
This 3D rendered environment depicts an astronaut exploring a purple planetary surface near a lander, visually representing the generative architectures discussed in the course.
One signal suggests potential dependency issues with specific library versions; note that this review predates the displayed update and an update does not guarantee a correction. Additionally, some learners found the instructor's accent difficult to follow.
One signal suggests potential dependency issues with specific library versions; note that this review predates the displayed update and an update does not guarantee a correction. Additionally, some learners found the instructor's accent difficult to follow.
The curriculum aligns with the target of learning generative architectures, though it may be challenging for absolute beginners. Note that some signals regarding library version issues predated the displayed update, so an update label does not prove a correction.
