End-to-End MLOps Bootcamp: Build, Deploy, and Automate ML with Data Science Projects
InstructorKrish Naik
Coupon
Coupon
Coupon
Coupon
CouponThe curriculum includes essential industry tools such as MLflow, DVC, Docker, and Apache Airflow, alongside cloud deployment via AWS SageMaker.
Instruction begins with a significant module covering Python syntax and data libraries to establish prerequisites.
Some learners report that the end-to-end projects do not fully utilize the core MLOps tools like DVC or MLflow as initially presented.
Reports indicate potential logic mistakes in codebooks and confusing instructions within specific tool modules.
The project sequence may feel repetitive, potentially lacking depth in advanced areas like model maintenance or data drift.
The curriculum aligns with the stated goals of transitioning into MLOps through tool-based instruction.