Our course catalog

Over 100 training courses, certifications and masterclasses, around major current and emerging technological topics.

We help our clients, businesses and individuals, to become the winners of the digital revolution, by making the right training choices in a constantly evolving technological universe.

Artificial Intelligence and Machine Learning

GCP200DE
Data Engineering on Google Cloud Platform
This four-day instructor-led class provides participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and carry out machine learning. The course covers structured, unstructured, and streaming data.
GCP200DA
From Data to Insights with Google Cloud Platform
Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course! This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization. This specialization is intended for the following participants: Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform To get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL.
GCP100B
Google Cloud Platform Big Data and Machine Learning Fundamentals
This 1 day course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities.

Big Data

GCP200DE
Data Engineering on Google Cloud Platform
This four-day instructor-led class provides participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and carry out machine learning. The course covers structured, unstructured, and streaming data.
GCP200DA
From Data to Insights with Google Cloud Platform
Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course! This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization. This specialization is intended for the following participants: Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform To get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL.
GCP100B
Google Cloud Platform Big Data and Machine Learning Fundamentals
This 1 day course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities.

Cloud, Container & Orchestration

ANSIBLE
Ansible fundamentals
Back in 2012, Michael DeHaan proposed an alternative to Configuration Management tools such as SaltStack, Puppet and Chef by introducing Ansible. Ansible is easier to use because of its SSH based communication mode between machines and its completely decentralized operation. This eliminates the need for a very rigid master-slave relationship or configuration. Since then, Ansible has evolved while keeping the simplicity of the beginnings. It was later bought by RedHat Inc., integrated into its DevOps platform, which lead to Ansible Galaxy. At the end of this training, you will master the fundamentals as well as some of the most advanced concepts of Ansible. You will be able to use the tools of the Ansible ecosystem to your advantage in order to deploy your packages on servers as efficiently and as quickly as possible. You will find the happiness of maintaining servers without the side of management of deployment errors.
GCP300ANT
Architecting Hybrid Cloud Infrastructure with Anthos
This two-day instructor-led course prepares students to modernize, manage, and observe their applications using Kubernetes whether the application is deployed on-premises or on Google Cloud Platform (GCP). Through presentations, and hands-on labs, participants explore and deploy using Kubernetes Engine (GKE), GKE Connect, Istio service mesh and Anthos Config Management capabilities that enable operators to work with modern applications even when split among multiple clusters hosted by multiple providers, or on-premises.
GCP300A
Architecting with Google Cloud Platform: Design and Process
Ce cours de deux jours dirigé par un instructeur permet aux étudiants de créer des solutions hautement fiables et efficaces sur Google Cloud Platform, en utilisant des modèles de conception éprouvés et les principes de Google Site Reliability Engineering (SRE). Il s'agit d'une continuation du cours Architecting with Google Cloud Platform: Infrastructure et suppose une expérience pratique des technologies couvertes par ce cours. Grâce à une combinaison de présentations, de démonstrations et de travaux pratiques, les participants apprennent à concevoir des déploiements GCP hautement fiables et sécurisés; et comment exploiter les déploiements GCP de manière hautement disponible et rentable.
GCP200AGCE
Architecting with Google Compute Engine
This three-day instructor-led class introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems, and application services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.
GCP200AGKE
Architecting with Google Kubernetes Engine
This three-day instructor-led class introduces participants to deploying and managing containerized applications on Google Kubernetes Engine (GKE) and the other services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as pods, containers, deployments, and services; as well as networks and application services. This course also covers deploying practical solutions including security and access management, resource management, and resource monitoring.
GCP200DE
Data Engineering on Google Cloud Platform
This four-day instructor-led class provides participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and carry out machine learning. The course covers structured, unstructured, and streaming data.
GCP200DEV
Developing Applications with Google Cloud Platform
In this course, application developers learn how to design, develop, and deploy applications that seamlessly integrate components from the Google Cloud ecosystem. Through a combination of presentations, demos, and hands-on labs, participants learn how to use GCP services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications.
DOCKERFND
Docker fundamentals
This course presents the basic concepts and practices of containerization with Docker. It allows you to assimilate the basics of container orchestration and to know how to adapt Docker to several nodes within a simple Swarm or Kubernetes cluster.
GCP200DA
From Data to Insights with Google Cloud Platform
Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course! This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization. This specialization is intended for the following participants: Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform To get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL.
GCP200K8S
Getting Started with Google Kubernetes Engine
Découvrez comment utiliser des conteneurs Docker pour vos charges de travail, les déployer sur des clusters Kubernetes fournis par Google Kubernetes Engine, et faire évoluer ces charges de travail afin de gérer les hausses du trafic. Vous apprendrez également à déployer en continu du nouveau code dans un cluster Kubernetes pour proposer des mises à jour d'applications.
GO
Go fundamentals
Golang is becoming the preferred language for the cloud. First released by Google in 2012, it’s easy to install and there are a wealth of available libraries in a variety of domains. Statically typed, succinct, coming with a performant garbage collector, it’s built from the ground for powerful and easy concurrent programmation. Fast compiling, with low memory imprint, it optimizes machine resources. These features are the reason why Go is the language of choice for the implementation of modern, simple and light microservices. At the end of this training you will master the fundamental aspects of Go programming. You will be able to use the Go ecosystem to your advantage and quickly create powerful and maintainable additions to your information system. You'll enjoy coding on the backend side again and will leave us confident in the achievement of your objectives.
GCP100B
Google Cloud Platform Big Data and Machine Learning Fundamentals
This 1 day course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities.
GCP200AWS
Google Cloud Platform Fundamentals for AWS Professionals

This 1-day instructor led course introduces AWS professionals to the core capabilities of Google Cloud in the four technology pillars: networking, compute, storage, and database.

It is designed for AWS system administrators, Solution Architects and SysOps Administrators familiar with AWS features and setup; and want to gain experience configuring Google Cloud products immediately.

With presentations, demos, and hands-on labs, participants get details of similarities, differences, and initial how-tos quickly.

GCP100A
Google Cloud Platform Fundamentals: Core Infrastructure
This one-day instructor-led class provides an overview of Google Cloud Platform products and services. Through a combination of presentations, demos, and hands-on labs, participants learn the value of Google Cloud Platform and how to incorporate cloud-based solutions into business strategies.
LFS458
Kubernetes Administration (LFS458)
This course covers the core concepts typically used to build and administer a Kubernetes cluster in production, using vendor-independent tools. We build a cluster, determine network configuration, grow the cluster, deploy applications and configure the storage, security and other objects necessary for typical use. This course offers exposure to the many skills necessary to administer Kubernetes in a production environment and is excellent preparation for the Certified Kubernetes Administrator (CKA) exam. This course does not focus on one vendor’s tools. Most courses are vendor-locked. We use kubeadm to deploy the cluster and focus on tools that would work on anyone’s Kubernetes cluster.
K8S300
Kubernetes advanced
This course is intended for experts wishing to implement and master Kubernetes production clusters, as well as anyone wishing to understand how Kubernetes is architectured, installed and maintained. Deployment of highly secure applications on Kubernetes is also detailed, this training is intended for both system engineers wishing to set up secure, efficient and highly available Kubernetes clusters as well as for developers and developers wishing to deploy their applications quickly and simply. This course will introduce you to the latest version of Kubernetes.
LFD459
Kubernetes for App Developers (LFD459)
This course will teach you how to containerize, host, deploy, and configure an application in a multi-node cluster. Starting with a simple Python script, you will define application resources and use core primitives to build, monitor and troubleshoot scalable applications in Kubernetes. Working with network plugins, security and cloud storage, you will be exposed to many of the features needed to deploy an application in a production environment. The topics covered are directly aligned with the knowledge domains tested by the Cloud Native Computing Foundation Certified Kubernetes Application Developer (CKAD) Program, and will substantially increase students’ ability to become certified.
K8S100
Kubernetes fundamentals
Discover the world of containers and Kubernetes in one day. You will learn how to boost your business by deploying secure, resilient and scalable services. This course offers many practical workshops, including the deployment of a production grade application.
GCP200N
Networking in Google Cloud Platform
This two-day instructor-led class gives participants broad study of networking options on Google Cloud. Through a combination of presentations, demonstrations, and hands-on labs, participants explore and deploy Google Cloud networking technologies, such as Google Virtual Private Cloud (VPC) networks, subnets, firewalls; interconnection among networks; load balancing; Cloud DNS; Cloud CDN; Cloud NAT. The course will also cover common network design patterns and automated deployment using Deployment Manager or Terraform.
GCPCERT-ACE
Preparing for the Associate Cloud Engineer Examination
This one day course helps prospective candidates structure their preparation for the Associate Cloud Engineer exam. The session will cover the structure and format of the examination, as well as its relationship to other Google Cloud certifications. Through lectures, demos and hands-on labs, candidates will familiarize themselves with the domains covered by the examination. This course by itself will not prepare a candidate to pass the Associate Cloud Engineer certification exam. It will, however, help the candidate better understand the areas covered by the exam and navigate the recommended resources provided by Google and Qwiklabs for preparing to take the exam, so they can formulate their own personal study plan.
GCPCERT-A
Preparing for the Professional Cloud Architect Examination
This course provides information, tips, and advice on taking the Google Cloud Certified – Professional Cloud Architect exam. Identify skill gaps and further areas of study and be pointed to appropriate target learning resources. The best preparation is real-world experience combined with training. Make certification your goal!
GCPCERT-DE
Preparing for the Professional Data Engineer Examination
Preparing for the Professional Data Engineering Certification Exam. Elaborates on the exam. Rehearses useful skills including exam question reasoning and case comprehension. Tips. Review of topics from the Infrastructure curriculum.
GCP300SEC
Security in Google Cloud Platform
This course gives participants broad study of security controls and techniques on Google Cloud Platform. Through lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure GCP solution. Participants also learn mitigation techniques for attacks at many points in a GCP-based infrastructure, including Distributed Denial-of-Service attacks, phishing attacks, and threats involving content classification and use.
TERRAFORM
Terraform - Automation of infrastructure deployment
This training covers the fundamental aspects of Terraform software. Terraform is an infrastructure as code tool developed by the company Hashicorp and widely used in the context of multi-cloud deployment management while keeping a single user journey regardless of the destination platform (GCP, AWS, Azure, OVH, …). The tool also allows the configuration of SAAS and PAAS services such as Github, PagerDuty, Rundeck, Vault, ... An official list of eligible resources is available here . It is also possible to create your own providers to meet needs that are not covered by Hashicorp, particularly in the context of private applications. This course will use different tools such as a cloud provider (GCP, AWS, Azure, OVH,…), Git, Gitlab-ci, Vault, Vim,…

DevOps

ANSIBLE
Ansible fundamentals
Back in 2012, Michael DeHaan proposed an alternative to Configuration Management tools such as SaltStack, Puppet and Chef by introducing Ansible. Ansible is easier to use because of its SSH based communication mode between machines and its completely decentralized operation. This eliminates the need for a very rigid master-slave relationship or configuration. Since then, Ansible has evolved while keeping the simplicity of the beginnings. It was later bought by RedHat Inc., integrated into its DevOps platform, which lead to Ansible Galaxy. At the end of this training, you will master the fundamentals as well as some of the most advanced concepts of Ansible. You will be able to use the tools of the Ansible ecosystem to your advantage in order to deploy your packages on servers as efficiently and as quickly as possible. You will find the happiness of maintaining servers without the side of management of deployment errors.
GCP300ANT
Architecting Hybrid Cloud Infrastructure with Anthos
This two-day instructor-led course prepares students to modernize, manage, and observe their applications using Kubernetes whether the application is deployed on-premises or on Google Cloud Platform (GCP). Through presentations, and hands-on labs, participants explore and deploy using Kubernetes Engine (GKE), GKE Connect, Istio service mesh and Anthos Config Management capabilities that enable operators to work with modern applications even when split among multiple clusters hosted by multiple providers, or on-premises.
GCP300A
Architecting with Google Cloud Platform: Design and Process
Ce cours de deux jours dirigé par un instructeur permet aux étudiants de créer des solutions hautement fiables et efficaces sur Google Cloud Platform, en utilisant des modèles de conception éprouvés et les principes de Google Site Reliability Engineering (SRE). Il s'agit d'une continuation du cours Architecting with Google Cloud Platform: Infrastructure et suppose une expérience pratique des technologies couvertes par ce cours. Grâce à une combinaison de présentations, de démonstrations et de travaux pratiques, les participants apprennent à concevoir des déploiements GCP hautement fiables et sécurisés; et comment exploiter les déploiements GCP de manière hautement disponible et rentable.
GCP200AGKE
Architecting with Google Kubernetes Engine
This three-day instructor-led class introduces participants to deploying and managing containerized applications on Google Kubernetes Engine (GKE) and the other services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as pods, containers, deployments, and services; as well as networks and application services. This course also covers deploying practical solutions including security and access management, resource management, and resource monitoring.
GCP200DEV
Developing Applications with Google Cloud Platform
In this course, application developers learn how to design, develop, and deploy applications that seamlessly integrate components from the Google Cloud ecosystem. Through a combination of presentations, demos, and hands-on labs, participants learn how to use GCP services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications.
DOCKERFND
Docker fundamentals
This course presents the basic concepts and practices of containerization with Docker. It allows you to assimilate the basics of container orchestration and to know how to adapt Docker to several nodes within a simple Swarm or Kubernetes cluster.
GCP200K8S
Getting Started with Google Kubernetes Engine
Découvrez comment utiliser des conteneurs Docker pour vos charges de travail, les déployer sur des clusters Kubernetes fournis par Google Kubernetes Engine, et faire évoluer ces charges de travail afin de gérer les hausses du trafic. Vous apprendrez également à déployer en continu du nouveau code dans un cluster Kubernetes pour proposer des mises à jour d'applications.
GO
Go fundamentals
Golang is becoming the preferred language for the cloud. First released by Google in 2012, it’s easy to install and there are a wealth of available libraries in a variety of domains. Statically typed, succinct, coming with a performant garbage collector, it’s built from the ground for powerful and easy concurrent programmation. Fast compiling, with low memory imprint, it optimizes machine resources. These features are the reason why Go is the language of choice for the implementation of modern, simple and light microservices. At the end of this training you will master the fundamental aspects of Go programming. You will be able to use the Go ecosystem to your advantage and quickly create powerful and maintainable additions to your information system. You'll enjoy coding on the backend side again and will leave us confident in the achievement of your objectives.
K8S100
Kubernetes fundamentals
Discover the world of containers and Kubernetes in one day. You will learn how to boost your business by deploying secure, resilient and scalable services. This course offers many practical workshops, including the deployment of a production grade application.
TERRAFORM
Terraform - Automation of infrastructure deployment
This training covers the fundamental aspects of Terraform software. Terraform is an infrastructure as code tool developed by the company Hashicorp and widely used in the context of multi-cloud deployment management while keeping a single user journey regardless of the destination platform (GCP, AWS, Azure, OVH, …). The tool also allows the configuration of SAAS and PAAS services such as Github, PagerDuty, Rundeck, Vault, ... An official list of eligible resources is available here . It is also possible to create your own providers to meet needs that are not covered by Hashicorp, particularly in the context of private applications. This course will use different tools such as a cloud provider (GCP, AWS, Azure, OVH,…), Git, Gitlab-ci, Vault, Vim,…

Google Cloud

GCP300ANT
Architecting Hybrid Cloud Infrastructure with Anthos
This two-day instructor-led course prepares students to modernize, manage, and observe their applications using Kubernetes whether the application is deployed on-premises or on Google Cloud Platform (GCP). Through presentations, and hands-on labs, participants explore and deploy using Kubernetes Engine (GKE), GKE Connect, Istio service mesh and Anthos Config Management capabilities that enable operators to work with modern applications even when split among multiple clusters hosted by multiple providers, or on-premises.
GCP300A
Architecting with Google Cloud Platform: Design and Process
Ce cours de deux jours dirigé par un instructeur permet aux étudiants de créer des solutions hautement fiables et efficaces sur Google Cloud Platform, en utilisant des modèles de conception éprouvés et les principes de Google Site Reliability Engineering (SRE). Il s'agit d'une continuation du cours Architecting with Google Cloud Platform: Infrastructure et suppose une expérience pratique des technologies couvertes par ce cours. Grâce à une combinaison de présentations, de démonstrations et de travaux pratiques, les participants apprennent à concevoir des déploiements GCP hautement fiables et sécurisés; et comment exploiter les déploiements GCP de manière hautement disponible et rentable.
GCP200AGCE
Architecting with Google Compute Engine
This three-day instructor-led class introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems, and application services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.
GCP200AGKE
Architecting with Google Kubernetes Engine
This three-day instructor-led class introduces participants to deploying and managing containerized applications on Google Kubernetes Engine (GKE) and the other services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as pods, containers, deployments, and services; as well as networks and application services. This course also covers deploying practical solutions including security and access management, resource management, and resource monitoring.
GCP200DE
Data Engineering on Google Cloud Platform
This four-day instructor-led class provides participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and carry out machine learning. The course covers structured, unstructured, and streaming data.
GCP200DEV
Developing Applications with Google Cloud Platform
In this course, application developers learn how to design, develop, and deploy applications that seamlessly integrate components from the Google Cloud ecosystem. Through a combination of presentations, demos, and hands-on labs, participants learn how to use GCP services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications.
GCP200DA
From Data to Insights with Google Cloud Platform
Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course! This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization. This specialization is intended for the following participants: Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform To get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL.
GCP200K8S
Getting Started with Google Kubernetes Engine
Découvrez comment utiliser des conteneurs Docker pour vos charges de travail, les déployer sur des clusters Kubernetes fournis par Google Kubernetes Engine, et faire évoluer ces charges de travail afin de gérer les hausses du trafic. Vous apprendrez également à déployer en continu du nouveau code dans un cluster Kubernetes pour proposer des mises à jour d'applications.
GCP100B
Google Cloud Platform Big Data and Machine Learning Fundamentals
This 1 day course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities.
GCP200AWS
Google Cloud Platform Fundamentals for AWS Professionals

This 1-day instructor led course introduces AWS professionals to the core capabilities of Google Cloud in the four technology pillars: networking, compute, storage, and database.

It is designed for AWS system administrators, Solution Architects and SysOps Administrators familiar with AWS features and setup; and want to gain experience configuring Google Cloud products immediately.

With presentations, demos, and hands-on labs, participants get details of similarities, differences, and initial how-tos quickly.

GCP100A
Google Cloud Platform Fundamentals: Core Infrastructure
This one-day instructor-led class provides an overview of Google Cloud Platform products and services. Through a combination of presentations, demos, and hands-on labs, participants learn the value of Google Cloud Platform and how to incorporate cloud-based solutions into business strategies.
GCP200N
Networking in Google Cloud Platform
This two-day instructor-led class gives participants broad study of networking options on Google Cloud. Through a combination of presentations, demonstrations, and hands-on labs, participants explore and deploy Google Cloud networking technologies, such as Google Virtual Private Cloud (VPC) networks, subnets, firewalls; interconnection among networks; load balancing; Cloud DNS; Cloud CDN; Cloud NAT. The course will also cover common network design patterns and automated deployment using Deployment Manager or Terraform.
GCPCERT-ACE
Preparing for the Associate Cloud Engineer Examination
This one day course helps prospective candidates structure their preparation for the Associate Cloud Engineer exam. The session will cover the structure and format of the examination, as well as its relationship to other Google Cloud certifications. Through lectures, demos and hands-on labs, candidates will familiarize themselves with the domains covered by the examination. This course by itself will not prepare a candidate to pass the Associate Cloud Engineer certification exam. It will, however, help the candidate better understand the areas covered by the exam and navigate the recommended resources provided by Google and Qwiklabs for preparing to take the exam, so they can formulate their own personal study plan.
GCPCERT-A
Preparing for the Professional Cloud Architect Examination
This course provides information, tips, and advice on taking the Google Cloud Certified – Professional Cloud Architect exam. Identify skill gaps and further areas of study and be pointed to appropriate target learning resources. The best preparation is real-world experience combined with training. Make certification your goal!
GCPCERT-DE
Preparing for the Professional Data Engineer Examination
Preparing for the Professional Data Engineering Certification Exam. Elaborates on the exam. Rehearses useful skills including exam question reasoning and case comprehension. Tips. Review of topics from the Infrastructure curriculum.
GCP300SEC
Security in Google Cloud Platform
This course gives participants broad study of security controls and techniques on Google Cloud Platform. Through lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure GCP solution. Participants also learn mitigation techniques for attacks at many points in a GCP-based infrastructure, including Distributed Denial-of-Service attacks, phishing attacks, and threats involving content classification and use.

Kubernetes

GCP300ANT
Architecting Hybrid Cloud Infrastructure with Anthos
This two-day instructor-led course prepares students to modernize, manage, and observe their applications using Kubernetes whether the application is deployed on-premises or on Google Cloud Platform (GCP). Through presentations, and hands-on labs, participants explore and deploy using Kubernetes Engine (GKE), GKE Connect, Istio service mesh and Anthos Config Management capabilities that enable operators to work with modern applications even when split among multiple clusters hosted by multiple providers, or on-premises.
GCP200AGKE
Architecting with Google Kubernetes Engine
This three-day instructor-led class introduces participants to deploying and managing containerized applications on Google Kubernetes Engine (GKE) and the other services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as pods, containers, deployments, and services; as well as networks and application services. This course also covers deploying practical solutions including security and access management, resource management, and resource monitoring.
GCP200K8S
Getting Started with Google Kubernetes Engine
Découvrez comment utiliser des conteneurs Docker pour vos charges de travail, les déployer sur des clusters Kubernetes fournis par Google Kubernetes Engine, et faire évoluer ces charges de travail afin de gérer les hausses du trafic. Vous apprendrez également à déployer en continu du nouveau code dans un cluster Kubernetes pour proposer des mises à jour d'applications.
LFS458
Kubernetes Administration (LFS458)
This course covers the core concepts typically used to build and administer a Kubernetes cluster in production, using vendor-independent tools. We build a cluster, determine network configuration, grow the cluster, deploy applications and configure the storage, security and other objects necessary for typical use. This course offers exposure to the many skills necessary to administer Kubernetes in a production environment and is excellent preparation for the Certified Kubernetes Administrator (CKA) exam. This course does not focus on one vendor’s tools. Most courses are vendor-locked. We use kubeadm to deploy the cluster and focus on tools that would work on anyone’s Kubernetes cluster.
K8S300
Kubernetes advanced
This course is intended for experts wishing to implement and master Kubernetes production clusters, as well as anyone wishing to understand how Kubernetes is architectured, installed and maintained. Deployment of highly secure applications on Kubernetes is also detailed, this training is intended for both system engineers wishing to set up secure, efficient and highly available Kubernetes clusters as well as for developers and developers wishing to deploy their applications quickly and simply. This course will introduce you to the latest version of Kubernetes.
LFD459
Kubernetes for App Developers (LFD459)
This course will teach you how to containerize, host, deploy, and configure an application in a multi-node cluster. Starting with a simple Python script, you will define application resources and use core primitives to build, monitor and troubleshoot scalable applications in Kubernetes. Working with network plugins, security and cloud storage, you will be exposed to many of the features needed to deploy an application in a production environment. The topics covered are directly aligned with the knowledge domains tested by the Cloud Native Computing Foundation Certified Kubernetes Application Developer (CKAD) Program, and will substantially increase students’ ability to become certified.
K8S100
Kubernetes fundamentals
Discover the world of containers and Kubernetes in one day. You will learn how to boost your business by deploying secure, resilient and scalable services. This course offers many practical workshops, including the deployment of a production grade application.

Languages

ECMASCRIPT
ECMAScript
ECMAScript was created to standardize JavaScript which is its main implementation. ECMAScript is the most used language for writing web client scripts and for writing Node.js server applications. At the end of this course you will know the major functionalities of ECMAScript which will allow you to create modern, robust and modular web or back-end applications. This course, updated for ECMAScript 2019, covers ECMAScript from version ECMAScript 2015 (ES6) up to ECMAScript 2019.
GO
Go fundamentals
Golang is becoming the preferred language for the cloud. First released by Google in 2012, it’s easy to install and there are a wealth of available libraries in a variety of domains. Statically typed, succinct, coming with a performant garbage collector, it’s built from the ground for powerful and easy concurrent programmation. Fast compiling, with low memory imprint, it optimizes machine resources. These features are the reason why Go is the language of choice for the implementation of modern, simple and light microservices. At the end of this training you will master the fundamental aspects of Go programming. You will be able to use the Go ecosystem to your advantage and quickly create powerful and maintainable additions to your information system. You'll enjoy coding on the backend side again and will leave us confident in the achievement of your objectives.
JSDEVWEB
JavaScript Web Application Development
This training covers the fundamentals of web application development with JavaScript. These basics are essential for the development of front end applications in JavaScript. The code execution model, which is based on the concept of event loop, will be explored in detail. The fundamental APIs available in a modern web browser will be used: global window object, DOM, events, ajax communication, server-sent events, websockets, data persistence via web storage or indexedDB, code execution in the background via web workers…
JSFOND
JavaScript Fundamentals
This training covers the fundamentals of the JavaScript language. These basics are mandatory for the development of backend or frontend applications in JavaScript. JavaScript is a lightweight, interpreted, object-oriented language with first order functions. It is better known as a scripting language for web pages, but is used in many environments other than browsers, for instance with Node.js. It is a dynamic, multi-paradigm, prototype-based scripting language that supports object-oriented, imperative, and functional programming styles.
TYPESCRIPT
TypeScript
TypeScript is a typed superset of JavaScript that compiles to plain JavaScript. As it allows writing robust and maintainable code, TypeScript is widely adopted within web frameworks, JavaScript libraries, web applications or back-end Node.js. This course is updated to TypeScript 3 and it covers everything you need to know to create websites, libraries and applications with TypeScript.

Web Applications

ANGULAR
Angular
Angular has become a key framework in the Frontend ecosystem. Developed by Google, this framework has established itself as the reference framework. This course is updated to the latest version of Angular.
ECMASCRIPT
ECMAScript
ECMAScript was created to standardize JavaScript which is its main implementation. ECMAScript is the most used language for writing web client scripts and for writing Node.js server applications. At the end of this course you will know the major functionalities of ECMAScript which will allow you to create modern, robust and modular web or back-end applications. This course, updated for ECMAScript 2019, covers ECMAScript from version ECMAScript 2015 (ES6) up to ECMAScript 2019.
JSDEVWEB
JavaScript Web Application Development
This training covers the fundamentals of web application development with JavaScript. These basics are essential for the development of front end applications in JavaScript. The code execution model, which is based on the concept of event loop, will be explored in detail. The fundamental APIs available in a modern web browser will be used: global window object, DOM, events, ajax communication, server-sent events, websockets, data persistence via web storage or indexedDB, code execution in the background via web workers…
JSFOND
JavaScript Fundamentals
This training covers the fundamentals of the JavaScript language. These basics are mandatory for the development of backend or frontend applications in JavaScript. JavaScript is a lightweight, interpreted, object-oriented language with first order functions. It is better known as a scripting language for web pages, but is used in many environments other than browsers, for instance with Node.js. It is a dynamic, multi-paradigm, prototype-based scripting language that supports object-oriented, imperative, and functional programming styles.
NODEJS
Node.js
Node.js is a set of technologies allowing the execution of JavaScript code but also managing one’s software project and its dependencies with other libraries. Node.js has established itself as a major technology for fullstack JavaScript development thanks to its pragmatic and efficient approach. A large majority of projects using JavaScript use Node.js whether to create websites, develop web services or REST APIs, or as a building block for front-end or back-end applications.
PWA
PWA - Progressive Web Applications
In 2015, Alex Russell introduced in a famous article the term “Progressive Web App”. It was new approach to Web Apps, at the junction of mobile and web, making it possible to improve the user experience by making the most of new concepts and technologies. Since then, PWAs have become popular and the underlying technologies having become widely supported by browsers. Thus, the “progressive” approach has no longer become a solution among so many others, but an essential methodology for the creation of modern web apps. During the course of this training, you will explore how to use the underlying modern technologies such as workers services, the manifest or the push API, or to make your web app installable, add an offline mode, or even trigger notifications. But beyond all that, this training will focus on how you can apply this complete methodology to your web development in order to obtain powerful, integrated, reliable and engaging applications.
REACT
React
React has become an essential framework of the Front ecosystem. Developed by Facebook, this framework has established itself to become the benchmark. This course is updated to the latest version of React.
RXJS
RxJS Reactive Programming
RxJS is a JavaScript a library for composing asynchronous and event-based programs by using observable sequences. Adopted by frameworks like Angular and widely used in the industry, reactive programming has become an essential tool for the web developer or backend. This course is updated for RxJS 6 and covers everything you need to know to think like a reactive programmer and take advantage of the power of RxJS to solve difficult asynchronous problems, using a declarative, functional and reactive approach.
TYPESCRIPT
TypeScript
TypeScript is a typed superset of JavaScript that compiles to plain JavaScript. As it allows writing robust and maintainable code, TypeScript is widely adopted within web frameworks, JavaScript libraries, web applications or back-end Node.js. This course is updated to TypeScript 3 and it covers everything you need to know to create websites, libraries and applications with TypeScript.
VUEJS
Vue.js
Vue.js (also called Vue), is an open-source JavaScript framework used to build user interfaces. Through its pragmatism, power and versatility, Vue.js quickly established itself as a major web framework.

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