This MLOps course is a program that tackles the subject of deploying the Machine Learning models in production and at scale. Our MLOps course will help you to learn - best MLOps tools, techniques, and practices for deploying, evaluating, mo...
Mode:- Completely Instructor-led Live and Interactive Sessions.
Duration:- 35 hrs - Rough calculation (Training will last until all topics are covered).
Get your Class recordings and notes after each session.
Lifetime access to LMS where presentations, quizzes, installation guides & class recordings are available.
Get projects.
We have a community forum for our learners that further facilitates learning through peer interaction and knowledge sharing.
Successfully complete your training and DevOpsSchool will certify you as a Certified MIOps Professional.
Everything you need to know about this batch's schedule.
Introduction to ML workflow and the need for Pipelines
Introduction to Tensorflow Extended (TFX)
Data Ingestion using TFX
Data Validation using TFDV
Data PreProcessing using TFT
Model Training using TFX
Model Analysis and Evaluation using TFX
Model Deployment using Tensorflow Serving
The orchestration pipelines - Apache Beam, Apache Airflow and Kubeflow
There are no prerequisites for MLOps certified professional Program. As we are going to start all the concepts from scratch. Even, if any aspirant is planning to enter the IT world this course will help them to get all the job-ready skills.
The students or professionals with technical skills would be great.
No students have enrolled yet — be the first to join this batch!
Secure your seat in this live, instructor-led batch today.