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.
APIs
GCP200APIDEV
Developing APIs with Google Cloud's Apigee API Platform
Découvrez les principes de base de la conception d'API et les fonctionnalités prêtes à l'emploi offertes par la plate-forme d'API Apigee de Google Cloud.
Ce cours de 3 jours comportant de nombreux ateliers pratiques vous apprendra comment concevoir, créer, sécuriser, déployer et gérer des solutions API.
Ce cours permet également de préparer la certification Google Cloud – Apigee Certified API Engineer
GCP200APIHYB
Managing Google Cloud's Apigee API Platform for Hybrid Cloud
Ce cours de 3 jours vous présente les principes fondamentaux et les pratiques avancées applicables à l'installation et à la gestion de la plate-forme API Apigee de Google Cloud pour le cloud hybride.
Ce cours comportant de nombreux ateliers pratiques vous apprendra à concevoir, installer, sécuriser, gérer et mettre à l'échelle Apigee API Platform.
Artificial Intelligence and Machine Learning
GCP200CCAI
Customer Experiences with Contact Center AI
Ce cours de 4 jours vous apprendra à concevoir, développer et déployer des solutions de conversation client à l'aide Centre de contact Intelligence artificielle (CCAI). Vous apprendrez également quelques bonnes pratiques pour intégrer des solutions conversationnelles à votre logiciel de centre de contact existant, établir un cadre pour l'assistance aux agents humains et mettre en œuvre des solutions en toute sécurité et à grande échelle.
Note: Ce cours ne rentre pas dans les détails de l'intégration avec les plateformes logicielles des partenaires téléphonie
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.
GCP200ML
Machine Learning on Google Cloud
Dans ce cours, vous apprendrez à écrire des modèles d'apprentissage automatique distribués qui évoluent dans Tensorflow 2.x, à effectuer l'ingénierie des features avec BQML et Keras, à évaluer les courbes de perte et à effectuer le réglage d'hyperparamètres, et à former des modèles à grande échelle avec Cloud AI Platform.
A l'issu de cette formation vous saurez répondre aux questions théoriques et pratiques liées au Machine Learning sur Google Cloud, incluant:
- Qu'est-ce que l'apprentissage automatique et quels types de problèmes peut-il résoudre ?
- Pourquoi les réseaux de neurones sont-ils si populaires en ce moment ?
- Comment pouvez-vous améliorer la qualité des données et effectuer une analyse exploratoire des données ?
- Comment mettre en place un problème d'apprentissage supervisé et trouver une bonne solution généralisable en utilisant la descente de gradient ?
PYDATA
Python pour la science des données
Ce cours de 3 jours apprend aux participants à programmer en Python pour la data science, depuis les bases du langage jusqu'aux librairies essentielles pour la data science.
A travers de nombreux exercices pratiques ils prendront en main les environnements de développement Python, la distribution Anaconda, l'environnement de travail collaboratif JupyterLab ainsi que les librairies Python majeures telles que NumPy, Pandas, Matplotlib, Seaborn et Scikit-Learn pour faire de la data science.
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.
MONGODEV
MongoDB pour les développeurs
Cette formation vous permettra de comprendre et de maîtriser MongoDB pour les développeurs. Vous commencerez par les bases (outils, language query), pour continuer avec des concepts plus avancés (design pattern, indexation, aggregation) et finir sur de l’expertise avec la scalabilité d’une base de données MongoDB et MongoDB Cloud.
PYDATA
Python pour la science des données
Ce cours de 3 jours apprend aux participants à programmer en Python pour la data science, depuis les bases du langage jusqu'aux librairies essentielles pour la data science.
A travers de nombreux exercices pratiques ils prendront en main les environnements de développement Python, la distribution Anaconda, l'environnement de travail collaboratif JupyterLab ainsi que les librairies Python majeures telles que NumPy, Pandas, Matplotlib, Seaborn et Scikit-Learn pour faire de la data science.
SQLFOND
SQL les fondamentaux
Langage de manipulation de données incontournable, le SQL (sigle de Structured Query Language, en français langage de requête structurée) est un langage informatique normalisé servant à exploiter des bases de données relationnelles.
Cette formation de deux jours vous apporte des connaissances solides pour exploiter des jeux de données complets avec le langage SQL.
Des fonctionnalités telles que les filtres, groupes, tris, projection, fonctions, jointures, sous-requêtes seront expliquées en détail et mises en oeuvre sur une ou plusieurs tables.
Les bonnes pratiques d’écriture de requêtes SQL seront enseignées et appliquées tout au long des nombreux exercices pratiques composant cette formation.
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
Learn how to deploy and manage containerized applications on Google Kubernetes Engine (GKE). Learn how to use other tools on Google Cloud that interact with GKE deployments. This course features a combination of lectures, demos, and hands-on labs to help you explore and deploy solution elements—including infrastructure components like pods, containers, deployments, and services—along with networks and application services. You'll also learn how to deploy practical solutions, including security and access management, resource management, and resource monitoring.
CLOUD360
Cloud 360°
Le Cloud Computing transforme profondément la manière dont les entreprises fonctionnent et bouleverse la manière dont les services informatiques opèrent. Il est aujourd’hui essentiel de posséder les notions fondamentales et de comprendre ce que le Cloud Computing peut apporter à une entreprise pour augmenter sa productivité et son efficacité.
La formation Cloud 360° fournit en une journée une compréhension des concepts et des enjeux du cloud computing.
Les participants à cette formation acquerront une base de connaissances solides sur le Cloud Computing: les technologies, l’écosystème, les stratégies d’adoption, les opportunités, les usages possibles en contexte client, les challenges, les enjeux de société, juridiques et de conformité.
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
This course will teach you how to containerize workloads in Docker containers, deploy them to Kubernetes clusters provided by Google Kubernetes Engine, and scale those workloads to handle increased traffic. You'll also learn how to continuously deploy new code in a Kubernetes cluster to provide application updates.
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.
GCP100AWS
Google Cloud Fundamentals for AWS Professionals
This course teaches AWS professionals about the core capabilities of Google Cloud in the four technology pillars: networking, compute, storage, and database.
It is designed for AWS system administrators, solutions architects, and SysOps administrators who are familiar with AWS features and setup and want to gain experience configuring Google Cloud products immediately.
This course uses lectures, demos, and hands-on labs to show you the similarities and differences between the two platforms and teach you about some basic tasks on Google Cloud.
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.
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.
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
Learn how to deploy and manage containerized applications on Google Kubernetes Engine (GKE). Learn how to use other tools on Google Cloud that interact with GKE deployments. This course features a combination of lectures, demos, and hands-on labs to help you explore and deploy solution elements—including infrastructure components like pods, containers, deployments, and services—along with networks and application services. You'll also learn how to deploy 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.
GCP200K8S
Getting Started with Google Kubernetes Engine
This course will teach you how to containerize workloads in Docker containers, deploy them to Kubernetes clusters provided by Google Kubernetes Engine, and scale those workloads to handle increased traffic. You'll also learn how to continuously deploy new code in a Kubernetes cluster to provide application updates.
GITFND
Git
Git est un logiciel de gestion de version décentralisé. Aujourd’hui Git s’est imposé comme l’outil de référence pour gérer le code source des projets informatiques, et fait ainsi partie des outils essentiels des développeurs.
Ce cours est conçu pour vous enseigner la façon dont Git est utilisé réellement: il couvre tous les aspects importants de Git, ainsi que les bonnes pratiques d’utilisation au quotidien.
GITLABCICD
GitLab CI/CD
GitLab est une plateforme DevOps permettant de gérer complètement le cycle de vie d’un projet logiciel, notamment la gestion du code source, l’intégration continue et la livraison continue (CI/CD) et la gestion de projet
Cette formation de deux jours est destinée aux développeurs qui souhaitent acquérir les bonnes bases pour utiliser GitLab au quotidien.
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.
GCP200LMO
Logging, Monitoring, and Observability in Google Cloud
This three-day instructor-led course teaches participants techniques for monitoring, troubleshooting, and improving infrastructure and application performance in Google Cloud. Guided by the principles of Site Reliability Engineering (SRE), and using a combination of presentations, demos, hands-on labs, and real-world case studies, attendees gain experience with full-stack monitoring, real-time log management and analysis, debugging code in production, tracing application performance bottlenecks, and profiling CPU and memory usage.
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
Learn how to deploy and manage containerized applications on Google Kubernetes Engine (GKE). Learn how to use other tools on Google Cloud that interact with GKE deployments. This course features a combination of lectures, demos, and hands-on labs to help you explore and deploy solution elements—including infrastructure components like pods, containers, deployments, and services—along with networks and application services. You'll also learn how to deploy 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
This course will teach you how to containerize workloads in Docker containers, deploy them to Kubernetes clusters provided by Google Kubernetes Engine, and scale those workloads to handle increased traffic. You'll also learn how to continuously deploy new code in a Kubernetes cluster to provide application updates.
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.
GCP100AWS
Google Cloud Fundamentals for AWS Professionals
This course teaches AWS professionals about the core capabilities of Google Cloud in the four technology pillars: networking, compute, storage, and database.
It is designed for AWS system administrators, solutions architects, and SysOps administrators who are familiar with AWS features and setup and want to gain experience configuring Google Cloud products immediately.
This course uses lectures, demos, and hands-on labs to show you the similarities and differences between the two platforms and teach you about some basic tasks on Google Cloud.
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
Learn how to deploy and manage containerized applications on Google Kubernetes Engine (GKE). Learn how to use other tools on Google Cloud that interact with GKE deployments. This course features a combination of lectures, demos, and hands-on labs to help you explore and deploy solution elements—including infrastructure components like pods, containers, deployments, and services—along with networks and application services. You'll also learn how to deploy practical solutions, including security and access management, resource management, and resource monitoring.
GCP200K8S
Getting Started with Google Kubernetes Engine
This course will teach you how to containerize workloads in Docker containers, deploy them to Kubernetes clusters provided by Google Kubernetes Engine, and scale those workloads to handle increased traffic. You'll also learn how to continuously deploy new code in a Kubernetes cluster to provide application updates.
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.
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.
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.
SQLFOND
SQL les fondamentaux
Langage de manipulation de données incontournable, le SQL (sigle de Structured Query Language, en français langage de requête structurée) est un langage informatique normalisé servant à exploiter des bases de données relationnelles.
Cette formation de deux jours vous apporte des connaissances solides pour exploiter des jeux de données complets avec le langage SQL.
Des fonctionnalités telles que les filtres, groupes, tris, projection, fonctions, jointures, sous-requêtes seront expliquées en détail et mises en oeuvre sur une ou plusieurs tables.
Les bonnes pratiques d’écriture de requêtes SQL seront enseignées et appliquées tout au long des nombreux exercices pratiques composant cette formation.
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.
More than Tech
SPEAKER
Speaker
Vous souhaitez passer le pas et devenir speaker.euse, partager vos connaissances, vos expériences ? Mais vous vous dites que vous n'êtes pas légitime, que vous ne savez pas par où comment ni sur quel sujet parler ? Sfeir vous propose donc de venir suivre cette journée pour y remédier.
Attention, cette formation n'est pas un cours de théâtre, vous n'y apprendrez pas à placer votre voix ni à savoir vous placer sur scène. Cette formation traite de tous les sujets qui entourent une conférence professionnelle.
Attention cependant, cette formation n’est pas une formation de coaching de prise de parole en public. Il s’agit d’une formation lié au monde des conférences.
Web Applications
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.
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.