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Smart Analytics, Machine Learning, and AI on Google Cloud

  • CMDBID 1090
  • Course Code GCPSMMLAI
  • Duration 1 Days
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Google Cloud Course

course overview

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Overview

Incorporating machine learning into data pipelines increases the ability to extract insights from data. This course covers ways machine learning can be included in data pipelines on Google Cloud. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions by using Vertex AI.

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Audience

IT professionals, system administrators, developers, analysts, architects and technical specialists responsible for implementing or supporting the technology covered in this course.

Skills Gained

By completing the Smart Analytics, Machine Learning, and AI on Google Cloud GCPSMMLAI course participants will gain practical knowledge, configuration skills, implementation techniques and best practice understanding relevant to real enterprise environments.

Prerequisites

Participants should have basic familiarity with the technology area related to Smart Analytics, Machine Learning, and AI on Google Cloud GCPSMMLAI. Some courses may recommend prior experience or foundational training.

Outline

Introduction to Analytics and AI
This modules talks about ML options on Google Cloud
  • Module introduction
  • What is AI?
  • From ad-hoc data analysis to data-driven decisions
  • Options for ML models on Google Cloud
  • QUIZ
Prebuilt ML Model APIs for Unstructured Data
This module focuses on using pre-built ML APIs on your unstructured data
  • Module introduction
  • Unstructured data is hard
  • ML APIs for enriching data
  • Lab Intro: Using the Natural Language API to Classify Unstructured Text
  • required
  • LAB: Using the Natural Language API to classify unstructured text: In this lab you’ll learn how to classify text into categories using the Natural Language API
  • QUIZ
Big Data Analytics with Notebooks
This module covers how to use Notebooks
  • Module introduction
  • What’s a Notebook?
  • BigQuery magic and ties to Pandas
  • Lab Intro: BigQuery in JupyterLab on Vertex AI
  • LAB: BigQuery in JupyterLab on Vertex AI 2.5: The purpose of this lab is to show learners how to instantiate a Jupyter notebook running on Google Cloud Platform's AI Platform service.
  • QUIZ
Production ML Pipelines
This module covers building custom ML models and introduces Vertex AI and TensorFlow Hub
  • Module introduction
  • Ways to do ML on Google Cloud
  • Vertex AI Pipelines
  • TensorFlow Hub
  • Lab Intro: Running Pipelines on Vertex AI
  • LAB: Running Pipelines on Vertex AI 2.5: In this lab, you learn how to utilize Vertex AI Pipelines to execute a simple Kubeflow Pipeline SDK derived ML Pipeline.
  • Summary
  • QUIZ
Custom Model Building with SQL in BigQuery ML
This module covers BigQuery ML
  • Module introduction
  • BigQuery ML for Quick Model Building
  • Supported models
  • Lab Intro: Predict Bike Trip Duration with a Regression Model in BigQuery ML 1 minute
  • LAB: Predict Bike Trip Duration with a Regression Model in BQML 2.5: In this lab you will use the London bicycles dataset to build a regression model in BQML to predict trip duration.
  • Lab Intro: Movie Recommendations in BigQuery ML
  • LAB: Movie Recommendations in BigQuery ML 2.5: In this lab you'll use the MovieLens dataset to build a collaborative filtering model and use it to make predictions.
  • Summary
  • QUIZ
Custom Model Building with AutoML
  • Module introduction
  • Why AutoML?
  • AutoML Vision
  • AutoML Natural Language Processing
  • AutoML Tables
  • Summary
  • QUIZ
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Certification

Some courses may support vendor certification exams or digital badges. Exam availability depends on the specific programme and vendor requirements.

What is the Smart Analytics, Machine Learning, and AI on Google Cloud GCPSMMLAI course about?

The Smart Analytics, Machine Learning, and AI on Google Cloud GCPSMMLAI course provides practical knowledge and skills used by professionals working with this technology or framework.

Who should attend the Smart Analytics, Machine Learning, and AI on Google Cloud GCPSMMLAI training course?

This course is designed for IT professionals, engineers, analysts, administrators and project teams who need hands-on knowledge.

Does the Smart Analytics, Machine Learning, and AI on Google Cloud GCPSMMLAI course include certification or an exam?

Many Smart Analytics, Machine Learning, and AI on Google Cloud GCPSMMLAI courses prepare participants for vendor certification exams or digital badges depending on the programme.

How can I enrol in the Smart Analytics, Machine Learning, and AI on Google Cloud GCPSMMLAI course?

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If you need training for 3 or more people, you should ask us about onsite training. Putting aside the obvious location benefit, content can be customised to better meet your business objectives and more can be covered than in a public classroom. Its a cost effective option. One on one training can be delivered too, at reasonable rates.

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SPVC = Self Paced Virtual Class

LVC = Live Virtual Class

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