GCP ML/Data labs#

Machine Learning Engineer Learning Path [courses]

  • Lab - A Tour of Google Cloud Hands-on Labs

  • Course - Google Cloud Big Data and Machine Learning Fundamentals

  • Course - How Google Does Machine Learning

  • Course - Launching into Machine Learning

  • Course - TensorFlow on Google Cloud

  • Course - Feature Engineering

  • Course - Machine Learning in the Enterprise

  • Course - Production Machine Learning Systems (AI Platform, Vertex AI)

  • Course - Computer Vision Fundamentals with Google Cloud

  • Course - Natural Language Processing on Google Cloud

  • Course - Recommendation Systems on Google Cloud

  • Course - MLOps (Machine Learning Operations) Fundamentals

  • Course - ML Pipelines on Google Cloud (outdated - AI Platform)

  • Quest - Perform Foundational Data, ML, and AI Tasks in Google Cloud (Introductory)

    • Lab (Intermediate) - Vertex AI: Qwik Start

    • Lab (Introductory) - Dataprep: Qwik Start

    • Lab (Introductory) - Dataflow: Qwik Start - Templates

    • Lab (Introductory) - Dataflow: Qwik Start - Python

    • Lab (Introductory) - Dataproc: Qwik Start - Console

    • Lab (Introductory) - Dataproc: Qwik Start - Command Line

    • Lab (Introductory) - Cloud Natural Language API: Qwik Start

    • Lab (Introductory) - Google Cloud Speech API: Qwik Start

    • Lab (Introductory) - Video Intelligence: Qwik Start

    • Lab - Perform Foundational Data, ML, and AI Tasks in Google Cloud: Challenge Lab

  • Quest - Build and Deploy Machine Learning Solutions on Vertex AI (Advanced)

    • Lab (Intermediate) - Vertex AI: Qwik Start

    • Lab (Intermediate) - Identify Damaged Car Parts with Vertex AutoML Vision

    • Lab (Intermediate) - Deploy a BigQuery ML Customer Churn Classifier to Vertex AI for Online Predictions

    • Lab (Intermediate) - Vertex Pipelines: Qwik Start

    • Lab (Intermediate) - Build and Deploy Machine Learning Solutions with Vertex AI: Challenge Lab

Machine Learning, Data Science quests/labs

  • Quest (Introductory) - Create ML Models with BigQuery ML

    • Lab - Getting Started with BigQuery Machine Learning

    • Lab - Predict Visitor Purchases with a Classification Model in BQML

    • Lab - Predict Taxi Fare with a BigQuery ML Forecasting Model

    • Lab - Bracketology with Google Machine Learning

    • Lab - Integrating BigQuery ML with Dialogflow ES Chatbot

    • Lab - Create ML Models with BigQuery ML: Challenge Lab

  • Quest (Introductory) - Predict Soccer Match Outcomes with BigQuery ML

    • Lab - BigQuery Soccer Data Ingestion

    • Lab - BigQuery Soccer Data Analysis

    • Lab - BigQuery Soccer Data Analytical Insight

    • Lab - BigQuery Machine Learning using Soccer Data

    • Lab - Predict Soccer Match Outcomes with BigQuery ML: Challenge Lab

  • Quest (Intermediate) - Engineer Data in Google Cloud

    • Lab - Creating a Data Transformation Pipeline with Cloud Dataprep

    • Lab - ETL Processing on Google Cloud Using Dataflow and BigQuery

    • Lab - Predict Visitor Purchases with a Classification Model in BigQuery ML

    • Lab - Cloud Composer: Copying BigQuery Tables Across Different Locations

    • Lab - Engineer Data in Google Cloud: Challenge Lab

  • Quest (Intermediate) - Language, Speech, Text, & Translation with Google Cloud APIs

    • Lab - Speech to Text Transcription with the Cloud Speech API

    • Lab - Measuring and Improving Speech Accuracy

    • Lab - Translate Text with the Cloud Translation API

    • Lab - Classify Text into Categories with the Natural Language API

    • Lab - Entity and Sentiment Analysis with the Natural Language API

    • Lab - It Speaks! Create Synthetic Speech Using Text-to-Speech

Vertex AI related quests/labs [33 results]

  • Course (Introductory) - Smart Analytics, Machine Learning, and AI on Google Cloud

  • Course (Intermediate) - Vertex Forecasting and Time Series in Practice

  • Quest (Fundamental) - Baseline: Data, ML, AI

    • Lab (Intermediate) - Vertex AI: Qwik Start

    • Lab (Introductory) - Dataprep: Qwik Start

    • Lab (Introductory) - Dataflow: Qwik Start - Templates

    • Lab (Introductory) - Dataflow: Qwik Start - Python

    • Lab (Introductory) - Dataproc: Qwik Start - Console

    • Lab (Introductory) - Dataproc: Qwik Start - Command Line

    • Lab (Introductory) - Cloud Natural Language API: Qwik Start

    • Lab (Introductory) - Google Cloud Speech API: Qwik Start

    • Lab (Introductory) - Video Intelligence: Qwik Start

    • Lab (Introductory) - Reinforcement Learning: Qwik Start

  • Quest (Fundamental) - Intro to ML: Image Processing

    • Lab (Introductory) - Vertex AI Workbench Notebook: Qwik Start

    • Lab (Introductory) - APIs Explorer: Qwik Start

    • Lab (Intermediate) - Classify Images of Clouds in the Cloud with AutoML Images

    • Lab (Intermediate) - Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API

    • Lab (Advanced) - Extract, Analyze, and Translate Text from Images with the Cloud ML APIs

  • Quest (Introductory) - Get Started with TensorFlow on Google Cloud

    • Lab (Introductory) - TensorFlow: Qwik Start

    • Lab (Introductory) - Introduction to Computer Vision with TensorFlow

    • Lab (Introductory) - Introduction to Convolutions with TensorFlow

    • Lab (Introductory) - Classify Images with TensorFlow Convolutional Neural Networks

    • Lab (Introductory) - Identify Horses or Humans with TensorFlow and Vertex AI

    • Lab (Introductory) - Get Started with TensorFlow on Google Cloud: Challenge Lab

  • Quest (Fundamental) - Intermediate ML: TensorFlow on Google Cloud

    • Lab (Intermediate) - Vertex AI: Qwik Start

    • Lab (Introductory) - Vertex AI Workbench Notebook: Qwik Start

    • Lab (Introductory) - Classify Images of Cats and Dogs using Transfer Learning

    • Lab (Intermediate) - Running Distributed TensorFlow using Vertex AI

    • Lab (Introductory) - Creating an Object Detection Application Using TensorFlow

  • Quest (Intermediate) - Advanced ML: ML Infrastructure

    • Lab (Intermediate) - Vertex AI: Qwik Start

    • Lab (Intermediate) - TFX on Google Cloud Vertex Pipelines

    • Lab (Intermediate) - Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes

    • Lab (Intermediate) - Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Istio

  • Quest (Advanced) - Data Science on Google Cloud

    • Lab - Introduction to SQL for BigQuery and Cloud SQL

    • Lab - Ingesting Data Into The Cloud

    • Lab - Loading Data into Google Cloud SQL

    • Lab - Visualizing Data with Google Data Studio

    • Lab - Processing Data with Google Cloud Dataflow

    • Lab - Visualize Real Time Geospatial Data with Google Data Studio

    • Lab (Intermediate) - Interactive Data Exploration with Vertex AI Workbench

    • Lab - Evaluating a Data Model

  • Quest (Advanced) - Data Science on Google Cloud: Machine Learning

    • Lab - Bayes Classifier on Dataproc

    • Lab - Machine Learning with Spark on Google Cloud Dataproc

    • Lab - Machine Learning with BigQuery ML

    • Lab (Advanced) - Machine Learning with TensorFlow in Vertex AI

    • Lab (Advanced) - MLOps with Vertex AI

    • Lab (Intermediate) - Real Time Machine Learning with Cloud Dataflow and Vertex AI

  • Quest (Advanced) - Integrate with Machine Learning APIs

    • Lab - Introduction to APIs in Google

    • Lab - Extract, Analyze, and Translate Text from Images with the Cloud ML APIs

    • Lab - Classify Text into Categories with the Natural Language API

    • Lab - Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API

    • Lab - Entity and Sentiment Analysis with the Natural Language API

    • Lab - Awwvision: Cloud Vision API from a Kubernetes Cluster

    • Lab - Integrate with Machine Learning APIs: Challenge Lab

  • Quest (Advanced) - Google Cloud Solutions II: Data and Machine Learning

    • Lab (Introductory) - Exploring NCAA Data with BigQuery

    • Lab (Introductory) - Classify Images of Cats and Dogs using Transfer Learning

    • Lab (Introductory) - Creating an Object Detection Application Using TensorFlow

    • Lab (Intermediate) - Using OpenTSDB to Monitor Time-Series Data on Cloud Platform

    • Lab (Intermediate) - Scanning User-generated Content Using the Cloud Video Intelligence and Cloud Vision APIs

  • Lab (Introductory) - Vertex AI: Predicting Loan Risk with AutoML

  • Lab (Introductory) - Analyzing a Tennis Serve with the Video Intelligence API

  • Lab (Introductory) - Process Documents with Python Using the Document AI API

  • Lab (Introductory) - Text Classification using AutoML

  • Lab (Introductory) - Visualize the 10,000 Bitcoin Pizza Transaction Using BigQuery and Vertex AI Workbench

  • Lab (Intermediate) - Vertex AI Tabular Data: Qwik Start

  • Lab (Intermediate) - Analyzing Natality Data Using Vertex AI and BigQuery

  • Lab (Intermediate) - Building a Fraud Detection Model with Vertex AI AutoML

  • Lab (Intermediate) - Measuring and Improving Speech Accuracy

  • Lab (Intermediate) - TFX on Google Cloud Vertex Pipelines

  • Lab (Advanced) - Keras for Text Classification using Vertex AI