Build, optimize, and deploy Llama 4 with prompt engineering techniques using Google Colab and Hugging Face
InstructorAnton Voroniuk• 1.250.000+ StudentsComidoc has tracked 26 coupons for this course since 2025, last checked 17d ago. On average, a new coupon appears roughly every 16 days.
| Coupon code | Discount | Added | Status | Lifetime |
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| Coupon code3AB6F75A1C439FF33DB3 | Discount100% off | Added | StatusFully redeemed | Lifetime10h 11m |
| Coupon codeE46733E1EC6D739FC08C | Discount100% off | Added | StatusExpired | Lifetime30d 22h |
| Coupon codeF44FB6403C12A6788639 | Discount100% off | Added | StatusExpired | Lifetime30d 23h |
| Coupon code504F92D55BE8F3B081C6 | Discount100% off | Added | StatusExpired | Lifetime30d 22h |
| Coupon codeCC6CD30A1FB905D9D69F | Discount100% off | Added | StatusExpired | Lifetime~31 daysRan full term |
| Coupon code732A10A7F39020DBB907 | Discount100% off | Added | StatusExpired | Lifetime~5 daysRan full term |
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Coupon
The curriculum provides technical breakdowns of how Llama 4 functions, specifically covering tokenization and attention mechanisms.
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
Instruction covers specific strategies for zero-shot and few-shot prompting to control output style, tone, and length.
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.
This course is best suited for learners who want a high-level understanding of Llama 4 architecture and the fundamental mechanics of prompt engineering.
Score breakdown
The curriculum covers essential architectural components like tokenization and attention, though one signal dated before the update suggests the depth may be insufficient for some learners.
Instruction includes specific exercises and challenges, but learner feedback dated before the update indicates a desire for more extensive practical examples. 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.
One signal dated before the update suggests potential issues with content repetition or clarity in the learning progression. 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 available evidence does not establish enough about current reliability to move this dimension away from neutral.
The curriculum aligns with the stated goals of developers and enthusiasts interested in Llama 4 setup and prompting.