Mình thấy có công ty trong nước là Cloud Ace mở thường xuyên 2 khóa học miễn phí về GCP – Google Cloud Platform cho mọi ngừ
Mình có học 1 khóa roài, đúng là miễn phí thiệt, giáo viên hỗ trợ nhiệt tình nên giới thiệu zới mí bạn lun
Google Cloud Training Day BIG DATA & MACHINE LEARNING FUNDAMENTAL
1. Introducing Google Cloud
Identify the different aspects of Google Cloud’s infrastructure.
Identify the big data and ML products that form Google Cloud.
2. Recommending Products Using Cloud SQL and Spark
Review how businesses use recommendation models.
Evaluate how and where you will compute and store your housing rental model results.
Analyze how running Hadoop in the cloud with Dataproc can enable scale.
Evaluate different approaches for storing recommendation data off-cluster.
3. Predicting Visitor Purchases Using BigQuery ML
Analyze big data at scale with BigQuery. Identify the purpose of and use cases for Google Compute Engine.
Learn how BigQuery processes queries and stores data at scale.
Walkthrough key ML terms: features, labels, training data.
Evaluate the different types of models for structured datasets.
Create custom ML models with BigQuery ML.
4. Real-time Dashboards with Pub/Sub, Dataflow, and Google Data Studio
Identify modern data pipeline challenges and how to solve them at scale with Dataflow.
Design streaming pipelines with Apache Beam.
Build collaborative real-time dashboards with Data Studio.
5. Deriving Insights from Unstructured Data Using Machine Learning
Evaluate how businesses use unstructured ML models and how the models work.
Choose the right approach for machine learning models between pre-built and custom.
Create a high-performing custom image classification model with no code using AutoML.
6. Summary
Recap of key learning points.
Contrast the App Engine standard environment with the App Engine flexible environment.
Resources.
Google Cloud Training Day BIG DATA & MACHINE LEARNING FUNDAMENTAL
Google Cloud Training Day CORE INFRASTRUCTURE FUNDAMENTAL
1. Introducing Google Cloud
Explain the advantages of Google Cloud.
Define the components of Google’s network infrastructure, including: Points of presence, data centers, regions, and zones.
Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS).
2. Getting Started with Google Cloud
Identify the purpose of projects on Google Cloud.
Understand the purpose of and use cases for Identity and Access Management.
List the methods of interacting with Google Cloud.
Lab: Getting Started with Cloud Marketplace.
3. Virtual Machines in the Cloud
Identify the purpose of and use cases for Google Compute Engine.
Understand the basics of networking in Google Cloud.
Lab: Getting Started with Google Compute Engine.
4. Storage in the Cloud
Understand the purpose of and use cases for: Cloud Storage, Cloud Bigtable, Cloud SQL, Cloud Spanner, and Firestore.
Learn how to choose between the various storage options on Google Cloud.
Lab: Getting Started with Cloud Storage and Cloud SQL.
5. Containers in the Cloud
Define the concept of a container and identify uses for containers.
Identify the purpose of and use cases for Google Kubernetes Engine and Kubernetes.
Introduction to Hybrid and Multi-Cloud computing (Anthos).
Lab: Getting Started with Kubernetes Engine.
6. Applications in the Cloud
Understand the purpose of and use cases for App Engine.
Contrast the App Engine standard environment with the App Engine flexible environment.
Understand the purpose of and use cases for Cloud Endpoints.
Lab: Getting Started with App Engine.
7. Developing, Deploying and Monitoring in the Cloud
Understand the purpose of template-based creation and management of resources
Understand the purpose of integrated monitoring, alerting, and debugging.
Lab: Getting Started with Deployment Manager and Cloud Monitoring.
8. Big Data and Machine Learning in the Cloud
Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms.
Lab: Getting Started with BigQuery.
Google Cloud Training Day CORE INFRASTRUCTURE FUNDAMENTAL
Jun 3 2022
Học GCP – Google Cloud Platform miễn phí
Mình thấy có công ty trong nước là Cloud Ace mở thường xuyên 2 khóa học miễn phí về GCP – Google Cloud Platform cho mọi ngừ
Mình có học 1 khóa roài, đúng là miễn phí thiệt, giáo viên hỗ trợ nhiệt tình nên giới thiệu zới mí bạn lun
Google Cloud Training Day BIG DATA & MACHINE LEARNING FUNDAMENTAL
1. Introducing Google Cloud
Identify the different aspects of Google Cloud’s infrastructure.
Identify the big data and ML products that form Google Cloud.
2. Recommending Products Using Cloud SQL and Spark
Review how businesses use recommendation models.
Evaluate how and where you will compute and store your housing rental model results.
Analyze how running Hadoop in the cloud with Dataproc can enable scale.
Evaluate different approaches for storing recommendation data off-cluster.
3. Predicting Visitor Purchases Using BigQuery ML
Analyze big data at scale with BigQuery. Identify the purpose of and use cases for Google Compute Engine.
Learn how BigQuery processes queries and stores data at scale.
Walkthrough key ML terms: features, labels, training data.
Evaluate the different types of models for structured datasets.
Create custom ML models with BigQuery ML.
4. Real-time Dashboards with Pub/Sub, Dataflow, and Google Data Studio
Identify modern data pipeline challenges and how to solve them at scale with Dataflow.
Design streaming pipelines with Apache Beam.
Build collaborative real-time dashboards with Data Studio.
5. Deriving Insights from Unstructured Data Using Machine Learning
Evaluate how businesses use unstructured ML models and how the models work.
Choose the right approach for machine learning models between pre-built and custom.
Create a high-performing custom image classification model with no code using AutoML.
6. Summary
Recap of key learning points.
Contrast the App Engine standard environment with the App Engine flexible environment.
Resources.
Google Cloud Training Day BIG DATA & MACHINE LEARNING FUNDAMENTAL
Google Cloud Training Day CORE INFRASTRUCTURE FUNDAMENTAL
1. Introducing Google Cloud
Explain the advantages of Google Cloud.
Define the components of Google’s network infrastructure, including: Points of presence, data centers, regions, and zones.
Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS).
2. Getting Started with Google Cloud
Identify the purpose of projects on Google Cloud.
Understand the purpose of and use cases for Identity and Access Management.
List the methods of interacting with Google Cloud.
Lab: Getting Started with Cloud Marketplace.
3. Virtual Machines in the Cloud
Identify the purpose of and use cases for Google Compute Engine.
Understand the basics of networking in Google Cloud.
Lab: Getting Started with Google Compute Engine.
4. Storage in the Cloud
Understand the purpose of and use cases for: Cloud Storage, Cloud Bigtable, Cloud SQL, Cloud Spanner, and Firestore.
Learn how to choose between the various storage options on Google Cloud.
Lab: Getting Started with Cloud Storage and Cloud SQL.
5. Containers in the Cloud
Define the concept of a container and identify uses for containers.
Identify the purpose of and use cases for Google Kubernetes Engine and Kubernetes.
Introduction to Hybrid and Multi-Cloud computing (Anthos).
Lab: Getting Started with Kubernetes Engine.
6. Applications in the Cloud
Understand the purpose of and use cases for App Engine.
Contrast the App Engine standard environment with the App Engine flexible environment.
Understand the purpose of and use cases for Cloud Endpoints.
Lab: Getting Started with App Engine.
7. Developing, Deploying and Monitoring in the Cloud
Understand the purpose of template-based creation and management of resources
Understand the purpose of integrated monitoring, alerting, and debugging.
Lab: Getting Started with Deployment Manager and Cloud Monitoring.
8. Big Data and Machine Learning in the Cloud
Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms.
Lab: Getting Started with BigQuery.
Google Cloud Training Day CORE INFRASTRUCTURE FUNDAMENTAL
By thaygiaoth2021 • Khóa học miễn phí • Tags: BIG DATA, BigQuery, GCP, Google App Engine, Google Cloud Platform, Google Compute Engine, Google Kubernetes Engine, Kubernetes Engine, MACHINE LEARNING