Training Level

Advanced

Training Duration (Days)

8

Training Mode

Online

Prerequisite

  1. Data Science – Traditional ML algorithms & DL (NeuralNetwork) algorithms
  2. Programming – Beginner to Intermediate

Career Track

  1. DATA SCIENTIST
  2. DATA ENGINEER

Industry Skill
Framework

Accreditation Body

IBM

Skill Outcome

By the end of this course, you will be able to:

  1. Understand MLOps in the world of data science
  2. Familiarize yourself with Docker and the need for containerization
  3. Build orchestrated ML pipelines using Kubeflow, Apache Airflow, Apache Beam
  4. Become familiar with Tensorflow Extended (TFX) and its various components
  5. Deploy models in the major cloud platforms – AWS,GCP,Azure
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