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Overview

In this certification & training course, you will learn about TensorFlow Extended (or TFX), which is Google’s production machine learning platform based on TensorFlow for management of ML pipelines and metadata. The first few modules discuss pipeline components, pipeline orchestration with TFX, how you can automate your pipeline through CI/CD, and how to manage ML metadata. Then we will discuss how to automate and reuse ML pipelines across multiple ML frameworks such as tensorflow, pytorch, scikit learn, and xgboost. You will also learn how to use Cloud Composer to orchestrate your continuous training pipelines, and MLflow for managing the complete machine learning life cycle.
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What You'll Learn

  • Orchestrate model training and deployment with TFX and Cloud AI Platform. ?Operate deployed machine learning models effectively and efficiently. ?Perform continuous training using various frameworks (Scikit Learn, XGBoost, PyTorch) and orchestrate pipelines using Cloud Composer and MLFlow.
  • Integrate ML workflows with upstream and downstream data management workflows to maintain end-to-end lineage and metadata management.

Who Should Attend

This course is primarily intended for the following participants:
  • Data Scientists looking to deliver business impact by quickly converting from Machine Learning prototype to production.
  • Software Engineers looking to develop Machine Learning Engineering skills. ?ML Engineers who want to adopt Google Cloud.
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Prerequisites

To get the most out of this course, participants should have:
  • Completed Machine Learning with Google Cloud or have equivalent experience.
  • Completed MLOps Fundamentals course

Learning Journey

Want to boost your career in Google Cloud? Click on the roles below to see the learning pathways, specially designed to give you the skills to succeed.

The course includes presentations, demonstrations, and hands-on labs.

Module 1: Introduction to TFX
  • Develop a high level understanding of TFX standard pipeline components.
  • Learn how to use a TFX Interactive Context for prototype development of TFX pipelines.
  • Work with the Tensorflow Data Validation (TFDV) library to check and analyze input data.
  • Utilize the Tensorflow Transform (TFT) library for scalable data preprocessing and feature transformations.
  • Use the KerasTuner library for model hyperparameter tuning.
  • Employ the Tensorflow Model Analysis (TFMA) library for model evaluation.
Module 2: Pipeline orchestration with TFX
  • Use the TFX CLI and Kubeflow UI to build and deploy TFX pipelines to a hosted AI Platform Pipelines instance on Google Cloud.
  • Deploy a TensorFlow model trained using AI Platform Training to AI Platform Prediction.
  • Perform advanced distributed hyperparameter tuning using CloudTuner and Cloud AI Platform Vizier.
Module 3: Custom components and CI/CD for TFX pipelines
  • Develop a CI/CD workflow with Cloud Build to build and deploy a TFX Pipeline.
  • Integrate Github trigger to trigger Cloud Build CI/CD workflow for a TFX pipeline.
Module 4: ML Metadata with TFX
  • Access and analyze pipeline artifacts in ML Metadata store.
Module 5: Continuous Training with multiple SDKs, KubeFlow & AI Platform Pipelines
  • Perform continuous training with Scikit-learn and AI Platform Pipelines.
  • Perform continuous training with PyTorch and AI Platform Pipelines.
  • Perform continuous training with XGBoost and AI Platform Pipelines.
  • Perform continuous training with TensorFlow and AI Platform Pipelines.
Module 6: Continuous Training with Cloud Composer
  • Perform continuous training with Cloud Composer.
Module 7: ML Pipelines with MLflow
  • Manage Machine Learning lifecycle with MLflow.
Module 8: Summary
  • Summarize the course.
This course is not associated with any certification.

Frequently Asked Questions (FAQs)

  • Why get Google Cloud Platform (GCP) certified?

    Google Cloud certifications validate your expertise in cloud technologies and your proficiency in using Google Cloud Platform's vast array of services.

    These certifications are recognized globally and highly sought after by employers, as they demonstrate your ability to design, develop, and manage scalable and secure cloud solutions on GCP.

    Google Cloud-certified professionals are in high demand, opening doors to new career opportunities and higher earning potential.

  • What to expect for the examination?

    Google Cloud offers a variety of certification exams across different levels (Foundational, Associate, and Professional) covering various job roles and specializations.

    The exams typically consist of multiple-choice and multiple-select questions, as well as scenario-based questions that assess your ability to apply your knowledge in real-world situations.

    Note: Certification requirements and policies may be updated by Google Cloud from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • How long is Google Cloud Platform (GCP) certification valid for?

    Most Google Cloud certifications, including Professional-level certifications, are valid for two years from the date of passing the exam.

    The Cloud Digital Leader and Associate Cloud Engineer certifications are valid for three years from the date of passing the exam.

    To maintain your certification, you will need to recertify by passing the latest version of the same exam or an equivalent higher-level certification exam before your current certification expires.

    You will receive a notification from Google Cloud prior to your certification's expiration date.

    Note: Certification requirements and policies may be updated by Google Cloud from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • Why take this course with Trainocate?

    Here’s what sets us apart:

    - Global Reach, Localized Accessibility: Benefit from our geographically diverse training hubs in 16 countries (and counting!).

    - Top-Rated Instructors: Our team of subject matter experts (with high average CSAT and MTM scores) are passionate to help you accelerate your digital transformation.

    - Customized Training Solutions: Choose from on-site, virtual classrooms, or self-paced learning to fit your organization and individual needs.

    - Experiential Learning: Dive into interactive training with our curated lesson plans. Participate in hands-on labs, solve real-world challenges, and take on comprehensive assessments.

    - Learn From The Best: With 30+ authorized training partnerships and countless awards from Microsoft, AWS, Google – you're guaranteed learning from the industry's elite.

    - Your Bridge To Success: We provide up-to-date course materials, helpful exam guides, and dedicated support to validate your expertise and elevate your career.

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