Build, optimize, and deploy Llama 4 with prompt engineering techniques using Google Colab and Hugging Face
InstructorAnton Voroniuk• 1.250.000+ StudentsComidoc has tracked 25 coupons for this course since 2025, last checked 30d ago. On average, a new coupon appears roughly every 16 days.
| Coupon code | Discount | Added | Status | Lifetime |
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| E46733E1EC6D739FC08C | 100% off | Fully redeemed | 4h 45m | |
| F44FB6403C12A6788639 | 100% off | Expired | 30d 23h | |
| 504F92D55BE8F3B081C6 | 100% off | Expired | 30d 22h | |
| CC6CD30A1FB905D9D69F | 100% off | Expired | ~31 daysRan full term | |
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The curriculum provides technical breakdowns of how Llama 4 functions, specifically covering tokenization and attention mechanisms.
Instruction covers specific strategies for zero-shot and few-shot prompting to control output style, tone, and length.
Editorial course preview
This view highlights a concrete, legible example from the course presentation.
Presentation slide titled Practical Learning Experience listing hands-on tools like Google Colab and Hugging Face next to a section on reasoning
One signal suggests a need for more hands-on examples, while another indicates the learning content may feel repetitive or insufficient in depth. Note that these signals originated from reviews dated before the displayed update; as the update label does not prove a correction, the current state of the content remains uncertain.
The curriculum aligns with the stated goals of developers and enthusiasts interested in Llama 4 setup and prompting.
