Master Machine Learning, Deep Learning & AI Agent Foundations with TensorFlow and PyTorch
InstructorSchool of AIComidoc has tracked 30 coupons for this course since 2025, last checked 19d ago. On average, a new coupon appears roughly every 12 days.
| Coupon code | Discount | Added | Status | Lifetime |
|---|---|---|---|---|
| AUGFREE01 | 100% off | Fully redeemed | 10d 18h | |
| AUGFREE02 | 100% off | Fully redeemed | 8d 9h | |
| JULFREE02 | 100% off | Expired | 28d 13h | |
| JULFREE01 | 100% off | Expired | ~29 daysRan full term | |
| JULFREE03 | 100% off | Expired | ~29 daysRan full term | |
| JUNFREE01 | 100% off | Expired | ~27 daysRan full term |
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The curriculum provides dedicated tracks for both TensorFlow and PyTorch, covering the full lifecycle from Keras model construction to TFX pipelines and mobile deployment via TensorFlow Lite.
Editorial course preview
These 3 complementary views highlight concrete, legible examples from the course presentation.
This slide outlines the AI Engineer Associate Certification curriculum, covering modules from feature engineering and neural networks to TensorFlow, PyTorch, and AI agents.
This slide outlines the AI Engineer certification hierarchy, showing the Explorer, Associate, and Professional levels alongside their respective badge designs.
This course overview slide outlines the curriculum for the AI Engineer Associate Certification, covering feature engineering, advanced algorithms, neural networks, and TensorFlow.
Instruction extends into modern AI agent frameworks, including AutoGPT, IBM Bee, LangGraph, and CrewAI.
One signal suggests instruction may be harder to follow when model results are not accompanied by graphical plots.
Selected from the course's public promotional preview. These images document visible presentation material only; they do not represent the complete paid curriculum.
The curriculum aligns with the requirements for Python knowledge and intermediate AI concepts.