Learn Production-Grade MLOps using DVC, MLFlow, AWS, Docker, Kubernetes, KServe, SageMaker and Kubeflow.
InstructorAbhishek VeeramallaComidoc has tracked 1 coupon for this course since 2025, last checked 8 months, 5 days ago.
| Coupon code | Discount | Added | Status | Lifetime |
|---|---|---|---|---|
| LAUNCHOFFER | 33% off | Expired | 4d 22h |
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The curriculum emphasizes the orchestration layer, covering containerization with Docker and model serving via Kubernetes and KServe.
One sampled review suggests that learners engage with industry-standard tools including DVC for versioning, MLflow for tracking, and SageMaker for cloud-native workflows.
One sampled review suggests that instructional segments use organized topic overviews to help learners understand how various components fit together before technical implementation.
The steep learning curve requires familiarity with Kubernetes and cloud services, which can be overwhelming for those without a DevOps background.
The curriculum lacks depth in model monitoring, performance evaluation, and emerging topics like LLMOps.
Issues include a non-functional S3 resource link and potential command-line discrepancies for macOS users.
Aligns well with DevOps-to-MLOps transitions but presents a high barrier for those without existing infrastructure knowledge.