
Master Deep Learning, Transformers, MLOps & AI Agent Development with Real-World Projects
AI Engineer Professional Certificate Course
InstructorSchool of AI
Master Deep Learning, Transformers, MLOps & AI Agent Development with Real-World Projects
InstructorSchool of AIComidoc has tracked 38 coupons for this course since 2025, last checked 7d ago. On average, a new coupon appears roughly every 11 days.
| Coupon code | Discount | Added | Status | Lifetime |
|---|---|---|---|---|
| Coupon codePACKTFREE | Discount100% off | Added | StatusExpired | Lifetime22d 18h |
| Coupon codeOCTFREE02 | Discount100% off | Added | StatusExpired | Lifetime29d 17h |
| Coupon codeOCTFREE01 | Discount100% off | Added | StatusExpired | Lifetime~30 daysRan full term |
| Coupon codeSEPTFREE02 | Discount100% off | Added | StatusExpired | Lifetime~31 daysRan full term |
| Coupon codeSEPTFREE01 | Discount100% off | Added | StatusExpired | Lifetime30d 12h |
| Coupon codeSEPTFREE03 | Discount100% off | Added | StatusExpired | Lifetime~31 daysRan full term |
Lifetime is the time from a coupon's first appearance to its expiration or invalidation.






Coupon
Editorial course preview
These 3 complementary views highlight concrete, legible examples from the course presentation.
This course overview slide details the curriculum for the AI Engineer Professional Certification, covering technical modules such as model tuning, neural networks, transformers, and MLOps.
This slide outlines the AI Engineer certification structure, distinguishing between the Explorer, Associate, and Professional credential levels.
This introductory slide presents the AI Engineer Professional Certification course title, identifies the instructor as Vivian Aranha, and displays the Jet Drag Academy logo.
Instruction includes hands-on modules for multi-agent frameworks such as AutoGen, LangGraph, and CrewAI.
The curriculum covers deployment infrastructure using Git, Docker containerization, and Kubernetes orchestration.
Learner signals indicate that the instruction provides detailed line-by-line explanations of coding implementations.
One signal suggests difficulty understanding core CNN principles despite the use of theoretical examples. Note that this review predates the displayed update date, and while an update occurred later, it does not prove these concerns were addressed.
A single critical signal suggests the course may not meet all expectations for a professional-level curriculum. Note that this review predates the displayed update date, and while an update occurred later, it does not prove these concerns were addressed.
The technical requirements align with the advanced topics, though a signal suggests potential level mismatch.