binx cloud learning paths aws/google (digital)

LEARNING PATHS

Training programs for:

&

CLOUD

1 22

Cloud Is People BusinessIt’s only a matter of time until organizations have moved their infrastructure and applications to the cloud. Now is the time to learn cloud computing. At Binx we are committed to making every organization cloud-native. People and technology combined are the key to turning this ambition into reality.

“Lack of knowledge should not be the limiting factor to move to the cloud.”

Training Programs for EveryoneAs an authorized training partner of Amazon Web Services and Google Cloud Platform, Binx off ers the cloud learning journey for everyone.

Our training programs are designed to meet you where you are. You will experience a challenging yet acceptable way of learning.

Together with Xebia Academy we off er certifi ed training courses at any level. Our experienced trainers build on their real-life experience to share their knowledge so you can develop your skills eff ectively.

Enough talk? Explore the cloud learning journeys and take the next step to realize your cloud ambitions.

Cloud TrainingCurriculum OverviewPublic Cloud 4 Cloud Basics 4

AWS 6 Cloud Practitioner 6 Architect 8 Developer 12 DevOps Engineer 16 Data Analytics 18 AWS Champion 20

GCP 22 Platform Fundamentals 22 Architect 25 Cloud Developer 28 Data Engineer 29 Cloud Network Engineer 31 Cloud Security Engineer 33 Data Analyst 35

Trainers 37

3 4

Level: FoundationDuration: 2 daysPrice: €1,295Course modality: Classroom, Online Instructor-LedMore information: https://binx.io/training/public-cloud-foundation

It's not surprising that many companies are using the Public Cloud. The benefi ts seem endless. For example, your business can scale compute power up and down as demands fl uctuate, within a matter of minutes. This benefi t, along with many others, has driven more and more companies to go all-in on the Public Cloud. How do you know if you are making the right decisions? Also, which Public Cloud fi ts your ambitions best? This 2-day training will help you fi nd the answers to these questions.

ProgramIn case you are still wondering why businesses are adopting the Public Cloud faster than lightning, we will explain why it is the future of IT. We will teach you how to lead a transformation and how to select the Public Cloud (Azure, AWS, Google Cloud) to fi t your business best. At the end of the training, you will be able to start your organization's journey to the Cloud.

• Tech terms and methods used in modern IT environments

• Helicopter View of Public Cloud • Cloud Governance, DevOps, SRE Cloud

Pricing and Procurement • Cloud Migration and Adoption Strategies • Security and Compliance (GDPR) • Important Cloud Technology Domains: Data

Science, Cognitive Services, Microservices• Common Cloud Architectures, Setups, and

Best Practices• To deploy an app in the Public Cloud• Cloud-adoption

You will learn to:• Lead a Cloud-adoption workshop• Promote Public Cloud within your

organization• Develop and attract the talent to accomplish

the Cloud journey • Form a Cloud team to kick off the Cloud

journey • Assess the right partners and set-up working

agreements

Intended AudienceThis Cloud Technology training is at Foundation level. That means you do not need any prior experience or knowledge to join us. If you are a Manager, Leader, Founder, or Executive in the IT or Digital domain, you are more than welcome to participate. No matter what the size of your business is or if you already use a set of Public Cloud services.

Cloud BasicsMore and more companies are discovering the benefi ts of Public Cloud. If you consider moving to or deploying new solutions in the Public Cloud, you need to know what you are talking about. Learn the basics to make the right decisions and develop a Cloud strategy to fi t your business.

Public Cloud Foundation

Public Cloud

Public Cloud Foundation

= foundational = intermediate

= certification= advanced

Cloud Basics Learning PathPublic Cloud Foundation Learning Path

Learning Path

5 6

Level: FoundationDuration: 1 dayPrice: €695Course modality: Classroom, Online Instructor-Led, Self-Paced More information: https://binx.io/training/cloud-practitioner-essentials

In this course you’ll gain an overall understanding of AWS Cloud, independent of specifi c technical roles. It provides a detailed overview of cloud concepts, AWS services, security, architecture, pricing, and support. This course also helps you prepare for the AWS Certifi ed Cloud Practitioner exam.

ProgramIn this course, you will learn how to:• Defi ne what the AWS Cloud is and the basic

global infrastructure• Describe the key services on the AWS

platform and their common use cases• Describe basic AWS Cloud architectural

principles

• Describe basic security and compliance aspects of the AWS platform and the shared security model

• Defi ne the billing, account management, and pricing models

• Identify sources of documentation or technical assistance (e.g., whitepapers, support tickets)

• Describe the AWS Cloud value proposition• Describe basic/core characteristics of

deploying and operating in the AWS Cloud

Intended AudienceThis course is intended for:• Sales• Legal• Marketing• Business analysts• Project managers• C-level executives• AWS Academy students• Other IT-related professionals

AWS CertifiedCloud Practitioner

Cloud PractitionerEssentials

AWS CertifiedCloud Practitioner

AWS Cloud Fundamentals


= certification= advancedCloud Practitioner Learning Path

This learning path is intended for individuals who are looking to build and validate overall understanding of the AWS Cloud. This path is useful for individuals in technical, managerial, sales, purchasing, or fi nancial roles who work with the AWS Cloud.

Level: FoundationDuration: 1 dayPrice: €695Course modality: Classroom, Online Instructor-Led, Self-Paced More information: https://binx.io/training/aws-cloud-fundamentals

You are going to be working in the Cloud soon, and AWS is the chosen platform. Now it's time to gain the knowledge and skills to get started! This Foundation level training course provides you with an overview of AWS’s most essential products and services. Following this training is also a great way to prepare for the AWS Cloud Practitioner exam.

ProgramThe training off ers a combination of theoretical knowledge and hands-on experience. We discuss what Cloud Computing with AWS entails, and we practice working with the platform. After the training, you can perform the basic AWS operations yourself.

Introduction to Cloud Computing with AWS• Services: VPC, EC2• The meaning of Serverless• Data and Storage options• Networking • IAM• S3• CloudWatch• Working with AWS• Launching a server• S3• IAM• SDK• CLI• CloudFormation

Intended AudienceAWS Foundation is perfect for a technical crowd with none or limited AWS experience. You do not need to be familiar with Public Cloud to take part in the training. We start from scratch and share the basics of the platform with you.

Cloud Practitioner Learning Path

Level: Practitioner Price: $100

The AWS Certifi ed Cloud Practitioner examination is intended for individuals who have the knowledge and skills necessary to eff ectively demonstrate an overall understanding of the AWS Cloud, independent of specifi c technical roles addressed by other AWS Certifi cations. The exam can be taken at a testing center or from the comfort and convenience of a home or offi ce location as an online proctored exam.

Becoming an AWS Certifi ed Cloud Practitioner is a recommended, optional step toward achieving an Associate-level or Specialty certifi cation.

Abilities Validated by the Certifi cation• Defi ne what the AWS Cloud is and the basic

global infrastructure• Describe basic AWS Cloud architectural

principles• Describe the AWS Cloud value proposition

• Describe key services on the AWS platform and their common use cases (for example, compute and analytics)

• Describe basic security and compliance aspects of the AWS platform and the shared security model

• Defi ne the billing, account management, and pricing models

• Identify sources of documentation or technical assistance (for example, whitepapers or support tickets)

• Describe basic/core characteristics of deploying and operating in the AWS Cloud

Recommended Knowledge and ExperienceWe recommend candidates have at least six months of experience with the AWS Cloud in any role, including technical, managerial, sales, purchasing, or fi nancial

Candidates should have a basic understanding of IT services and their uses in the AWS Cloud platform

Cloud Practitioner Essentials AWS Certifi ed Cloud Practitioner Exam

Learning Path

Cloud PractitionerAWS Cloud Fundamentals

7 8

Architecting on AWS - Accelerator

This fi ve-day course covers topics from two other courses in this path, Architecting on AWS and Advanced Architecting on AWS, and may be taken in place of those courses.

Exam Readiness Intensive Workshop

AWS Certifi ed Solutions Architect - Associate also covers topics from two courses in this path, Architecting on AWS and Exam Readiness: AWS Certifi ed Solutions Architect - Associate, and may be taken in place of those courses.

AWS TechnicalEssentials

Architectingon AWS

AdvancedArchitectingon AWS

Architecting on AWS - Accelerator**

Exam Readiness:Solutions Architect- Associate

Exam Readiness:Solutions Architect- Professional

*Combines Architecting on AWS and Exam Readiness: Solutions Architect - Associate

**Combines Architecting on AWS and Advanced Architecting on AWS

Exam Readiness:Solutions Architect- Associate

AWS CertifiedSolutions Architect- Associate

AWS CertifiedSolutions Architect- Professional

AWS CertifiedSolutions Architect- Associate

Exam Readiness Intersive Workshop: AWSCertified Solutions Architect - Associate*

OR

Architect Learning Path= foundational = intermediate


This path also includes two optional courses to provide more choices for your progression.

This learning path is designed for solutions architects, solution design engineers, and anyone who wants to learn how to design applications and systems on AWS. Build technical skills as you progress along the path toward AWS Certifi cation.

Level: IntermediateDuration: 3 daysPrice: €1995Course modality: Classroom, Online Instructor-Led More information: https://binx.io/training/architecting-on-aws

This course covers the fundamentals of building IT infrastructure on the AWS platform. Students learn how to optimize the AWS Cloud by understanding how AWS services fi t into cloud-based solutions. In addition, students explore AWS Cloud best practices and design patterns for architecting optimal IT solutions on AWS, and build a variety of infrastructures in guided, hands-on activities. The course also covers how to create fl edgling architectures and build them into robust and adaptive solutions.

ProgramIn this course, you will learn to: • Make architectural decisions based on AWS

architectural principles and best practices• Leverage AWS services to make your

infrastructure scalable, reliable, and highly available

• Leverage AWS Managed Services to enable greater fl exibility and resiliency in an infrastructure

• Make an AWS-based infrastructure more effi cient to increase performance and reduce costs

• Use the Well-Architected Framework to improve architectures with AWS solutions

• Intended Audience

Intended AudienceThis course is intended for:• Solutions architects• Solution design engineers

Cloud Architect

Next step: Solutions Architect & Advanced Architecting

Architecting on AWS

Cloud Architect Learning Path

Learning Path

9 10

Level: Associate Price: $150

The AWS Certifi ed Solutions Architect - Associate examination is intended for individuals who perform a solutions architect role and have one or more years of hands-on experience designing available, cost-effi cient, fault-tolerant, and scalable distributed systems on AWS.

Abilities Validated by the Certifi cation• Eff ectively demonstrate knowledge of how

to architect and deploy secure and robust applications on AWS technologies

• Defi ne a solution using architectural design principles based on customer requirements

• Provide implementation guidance based on best practices to the organization throughout the life cycle of the project

Recommended Knowledge and Experience

• Hands-on experience using compute, networking, storage, and database AWS services

• Hands-on experience with AWS deployment and management services

• Ability to identify and defi ne technical requirements for an AWS-based application

• Ability to identify which AWS services meet a given technical requirement

• Knowledge of recommended best practices for building secure and reliable applications on the AWS platform

• An understanding of the basic architectural principles of building on the AWS Cloud

• An understanding of the AWS global infrastructure

• An understanding of network technologies as they relate to AWS

• An understanding of security features and tools that AWS provides and how they relate to traditional services

Level: AdvancedDuration: 3 daysPrice: €1995Course modality: Classroom, Online Instructor-Led More information: https://binx.io/training/advanced-architecting-on-aws

In this course, you will build on concepts introduced in Architecting on AWS. You will learn how to build complex solutions that incorporate data services, governance, and security on the AWS platform. You will also learn about specialized AWS services, including AWS Direct Connect and AWS Storage Gateway, that support hybrid architecture, and you will learn about best practices for building scalable, elastic, secure, and highly available applications on AWS.Course Objectives

ProgramIn this course, you will learn to:• Apply the AWS Well-Architected Framework• Manage multiple AWS accounts for your

organization• Connect an on-premises data center to the

AWS Cloud

• Discuss billing implications of connecting multi-region VPCs

• Move large data from an on-premises data center to AWS

• Design large data stores for the AWS Cloud• Understand diff erent architectural designs

for scaling a large website• Protect your infrastructure from distributed

denial of service (DDOS) attacks• Secure your data on AWS with encryption• Design protection of data at rest and data in

transit• Enhance the performance of your solutions• Select the most appropriate AWS

deployment mechanism

Intended AudienceThis course is intended for:Individuals who are experienced with designing scalable and elastic applications on the AWS platform

AWS Certifi ed Solutions Architect Exam

Advanced Architecting on AWS

11 12

Developer Learning Path

AWS CertfiedCloud Practitioner

Developingon AWS

Exam Readiness:Developer- Associate



AWS CertifiedDeveloper- Associate

Optional:

AWS TechnicalEssentials

Advanced Developing on AWS

This learning path is designed for software developers who want to learn how to develop cloud applications on AWS. Build technical skills as you progress along the path toward AWS Certifi cation.

Level: Foundation Duration: 1 dayPrice: €695Course modality: Classroom, Online Instructor-Led More information: https://binx.io/training/technical-essentials/

In this introductory course, you will learn about AWS products, services, and common solutions. You will learn the fundamentals of identifying AWS services so that you can make informed decisions about IT solutions based on your business requirements.

ProgramIn this course, you will learn to:• Terminology and concepts related to the

AWS platform• How to navigate the AWS Management

Console• Key concepts of AWS security measures and

AWS Identity and Access Management (IAM)• Key AWS Services Included

Cloud Developer

• Foundational services: Amazon Elastic Compute Cloud (EC2), Amazon Virtual Private Cloud (VPC), Amazon Simple Storage Service (S3), and Amazon Elastic Block Store (EBS)

• Database services: Amazon DynamoDB and Amazon Relational Database Service (RDS)

• Management services: AWS Auto Scaling, Amazon CloudWatch, Elastic Load Balancing (ELB), and AWS Trusted Advisor

Intended AudienceThis course is intended for:• Individuals responsible for articulating

the technical benefi ts of AWS services to customers

• Individuals interested in learning how to get started with AWS

• SysOps administrators• Solutions architects• Developers

AWS Technical Essentials

Next step: Developing, Certifi ed Developing & Advanced Developing

Cloud Developer Learning Path

Learning Path

13 14

Level: IntermediateDuration: 3 daysPrice: €1995Course modality: Classroom, Online Instructor-Led More information: https://binx.io/services/training/developing-on-aws

In this course, you will learn how to use the AWS SDK to develop secure and scalable cloud applications. We will explore how to interact with AWS using code and discuss key concepts, best practices, and troubleshooting tips.

ProgramIn this course, you will learn to:• Set up the AWS SDK and developer

credentials for Java, C#/.NET, Python, and JavaScript

• Interact with AWS services and develop solutions by using the AWS SDK

• Use AWS Identity and Access Management (IAM) for service authentication

• Use Amazon Simple Storage Service (Amazon S3) and Amazon DynamoDB as data stores

• Integrate applications and data by using AWS Lambda, Amazon API Gateway, Amazon Simple Queue Service (Amazon SQS), Amazon Simple Notifi cation Service (Amazon SNS), and AWS Step Functions

• Use Web Identity Framework and Amazon Cognito for user authentication

• Use Amazon ElastiCache to improve application scalability

• Use containers in the development process• Leverage the CI/CD pipeline to deploy

applications on AWS

Intended AudienceThis course is intended for:Intermediate-level software developers

Level: Associate Price: $150

The AWS Certifi ed Developer - Associate examination is intended for individuals who perform a development role and have one or more years of hands-on experience developing and maintaining an AWS-based application.

Abilities Validated by the Certifi cation• Demonstrate an understanding of core AWS

services, uses, and basic AWS architecture best practices

• Demonstrate profi ciency in developing, deploying, and debugging cloud-based applications using AWS

• Recommended Knowledge and Experience• In-depth knowledge of at least one high-

level programming language• Understanding of core AWS services, uses,

and basic AWS architecture best practices• Profi ciency in developing, deploying, and

debugging cloud-based applications using AWS

• Ability to use the AWS service APIs, AWS CLI, and SDKs to write applications

• Ability to identify key features of AWS services

• Understanding of the AWS shared responsibility model

• Understanding of application lifecycle management

• Ability to use a CI/CD pipeline to deploy applications on AWS

• Ability to use or interact with AWS services• Ability to apply a basic understanding of

cloud-native applications to write code• Ability to write code using AWS security best

practices (e.g., not using secret and access keys in the code, instead using IAM roles)

• Ability to author, maintain, and debug code modules on AWS

• Profi ciency writing code for serverless applications

• Understanding of the use of containers in the development process

Level: Advanced Duration: 3 daysPrice: €1995Course modality: Classroom, Online Instructor-Led More information: https://binx.io/services/training/advanced-developing-on-aws/

This three-day course covers advanced development topics such as architecting for a cloud-native environment and deconstructing on-premises legacy applications and repackaging them into cloud-based, cloud-native architectures. It also covers how to apply the tenets of the Twelve-Factor Application methodology.

Course ObjectivesIn this course, you will learn to:• Analyze a monolithic application architecture

to determine logical or programmatic break points where the application can be broken up across diff erent AWS services

• Apply Twelve-Factor Application manifesto concepts and steps while migrating from a monolithic architecture

• Recommend the appropriate AWS services to develop a microservices based cloud-native application

• Use the AWS API, CLI, and SDKs to monitor and manage AWS services

• Migrate a monolithic application to a microservices application using the six Rs of migration

• Explain the SysOps and DevOps interdependencies necessary to deploy a microservices application in AWS

Intended AudienceThis course is intended for:Experienced software developers who are already familiar with AWS services

PrerequisitesWe recommend that attendees of this course have:• In-depth knowledge of at least one high-

level programming language• Working knowledge of core AWS services

and public cloud implementation • Completion of Developing on AWS in

addition to a minimum of six months of applying those concepts in a real-world environment

Developing on AWS AWS Certifi ed Developer Exam

Advanced Developing on AWS

15 16

DevOps Learning Path

AWS CertfiedSysOps Administrator- Associate

AWS CertfiedDeveloper- Associate

DevOps Engineering on AWS

Exam Readiness:DevOps Engineer- Professional

AWS CertifiedDevOps Engineer- Professional

OR Optional:

AWS CertfiedDeveloper- Associate



This learning path is designed for individuals who want to learn how to use the most common DevOps patterns to develop, deploy, and maintain applications in the AWS Cloud. Build technical skills as you progress along the path toward AWS Certifi cation.

Level: IntermediateDuration: 3 daysPrice: €1995Course modality: Classroom, Online Instructor-Led More information: https://binx.io/services/training/devops-engineering-on-aws

DevOps Engineering on AWS teaches you how to use the combination of DevOps cultural philosophies, practices, and tools to increase your organization’s ability to develop, deliver, and maintain applications and services at high velocity on AWS. This course covers continuous integration (CI), continuous delivery (CD), infrastructure as code, microservices, monitoring and logging, and communication and collaboration. Hands-on labs give you experience building and deploying AWS CloudFormation templates and CI/CD pipelines that build and deploy applications on Amazon Elastic Compute Cloud (Amazon EC2), serverless applications, and container-based applications. Labs for multi-pipeline workfl ows and pipelines that deploy to multiple environments are also included.

ProgramIn this course, you will learn to:

• Use DevOps best practices to develop, deliver, and maintain applications and services at high velocity on AWS

• List the advantages, roles, and responsibilities of small, autonomous DevOps teams

• Design and implement an infrastructure on AWS that supports DevOps development projects

• Leverage AWS Cloud9 to write, run, and debug your code

• Deploy various environments with AWS CloudFormation

• Host secure, highly scalable, and private Git repositories with AWS CodeCommit

• Integrate Git repositories into CI/CD pipelines

• Automate build, test, and packaging code with AWS CodeBuild

• Securely store and leverage Docker images and integrate them into your CI/CD pipelines

• Build CI/CD pipelines to deploy applications on Amazon EC2, serverless applications, and container-based applications

• Implement common deployment strategies such as “all at once,” “rolling,” and “blue/green”

• Integrate testing and security into CI/CD pipelines

• Monitor applications and environments using AWS tools and technologies

Intended AudienceThis course is intended for:• DevOps engineers• DevOps architects• Operations engineers• System administrators• Developers

DevOps Engineer

Level: ProfessionalPrice: $300

The AWS Certifi ed DevOps Engineer – Professional exam is intended for individuals who perform a DevOps engineer role with two or more years of experience provisioning, operating, and managing AWS environments.

Abilities Validated by the Certifi cation• Implement and manage continuous delivery

systems and methodologies on AWS• Implement and automate security controls,

governance processes, and compliance validation

• Defi ne and deploy monitoring, metrics, and logging systems on AWS

• Implement systems that are highly available, scalable, and self-healing on the AWS platform

• Design, manage, and maintain tools to automate operational processes

Recommended Knowledge and Experience• Experience developing code in at least one

high-level programming language• Experience building highly automated

infrastructures• Experience administering operating systems• Understanding of modern development and

operations processes and methodologies

DevOps Engineering on AWS

AWS Certifi ed DevOps Engineer Exam

DevOps Engineer Learning Path

Learning Path

17 18

Data Analytics Learning Path

Data AnalyticsFundamentals Big Data on AWS

Exam Readiness:Data Analytics- Specialty

AWS CertifiedData Analytics- Specialty

AWS Certified CloudPractitioner



Optional:

This learning path is designed for individuals who design and implement AWS services to derive value from data. Learn about collection, ingestion, storage, processing, and visualization. Then get AWS Certifi ed to validate the skills you’ve learned.

For best results, we recommend, but do not require, that individuals have technical AWS Cloud experience related to data analytics before beginning this learning path.Data Analytics Fundamentals is a free digital course. For more information, please visit: https://www.aws.training/Details/eLearning?id=35364

Level: IntermediateDuration: 3 daysPrice: €1995Course modality: Classroom, Online Instructor-Led More information: https://binx.io/services/training/big-data-on-aws

In this course, you will learn about cloud-based Big Data solutions such as Amazon EMR, Amazon Redshift, Amazon Kinesis, and the rest of the AWS Big Data platform. We will show you how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools like Hive and Hue. We will also teach you how to create Big Data environments, work with Amazon DynamoDB, Amazon Redshift, Amazon QuickSight, Amazon Athena, and Amazon Kinesis, and leverage best practices to design Big Data environments for security and cost-eff ectiveness.

ProgramIn this course, you will learn to:• Fit AWS solutions inside a Big Data

ecosystem• Leverage Apache Hadoop in the context of

Amazon EMR• Identify the components of an Amazon

EMR cluster, then launch and confi gure an Amazon EMR cluster

• Use common programming frameworks available for Amazon EMR, including Hive, Pig, and streaming

• Improve the ease of use of Amazon EMR by using Hadoop User Experience (Hue)

• Use in-memory analytics with Apache Spark on Amazon EMR

• Choose appropriate AWS data storage options

• Identify the benefi ts of using Amazon Kinesis for near real-time Big Data processing

• Leverage Amazon Redshift to effi ciently store and analyze data

• Comprehend and manage costs and security for a Big Data solution

• Identify options for ingesting, transferring, and compressing data

• Leverage Amazon Athena for ad-hoc query analytics

• Use AWS Glue to automate extract, transform, and load (ETL) workloads

• Use visualization software to depict data and queries using Amazon QuickSight

Intended AudienceThis course is intended for:• Solutions architects• SysOps administrators• Data scientists• Data analysts

Data Analytics

Level: Specialty Price: $250

Earn an industry-recognized credential from AWS that validates your expertise in AWS data lakes and analytics services. Build credibility and confi dence by highlighting your ability to design, build, secure, and maintain analytics solutions on AWS that are effi cient, cost-eff ective, and secure. Show you have breadth and depth in delivering insight from data.

Abilities Validated by the Certifi cation• Defi ne AWS data analytics services and

understand how they integrate with each other

• Explain how AWS data analytics services fi t in the data life cycle of collection, storage, processing, and visualization

Big Data on AWS

AWS Certifi ed Data Analytics Exam

Data Analytice Learning Path

Learning Path

• At least 5 years of experience with data analytics technologies

• At least 2 years of hands-on experience working with AWS

• Experience and expertise working with AWS services to design, build, secure, and maintain analytics solutions

Recommended Knowledge and Experience

19 20

AWS Champion Learning Path

AWS Champion



AWS Solutons Architect Associate

AWS SysOps Administrator

AWS Developer Associate

AWS Champion Learning Path

You are familiar with AWS, but want to improve your Cloud Technology skills. This AWS Champion training is an Expert level course that prepares you for the core professional AWS exams. Incl. group assignments, labs and papers.

This Cloud Technology training gives you all you need to grow from an AWS Intermediate to AWS Professional. Or, as we call it: an AWS Champion! Do you aspire a career as a Cloud Engineer, are you a Developer or Architect and do you want to prepare for the most important AWS exams? In these 3 days we will share high-level AWS knowledge and skills.

This Cloud Technology training is perfect forThis training is an Expert level training. This means that there are requirements for participation. We assume you have some knowledge of AWS services. For example, you have built a platform using EC2 and RDS. You are familiar with components such as IAM and VPC, but Machine Learning and Serverless working are still new to you. Have you read white papers like Well-Architected Framework and Introductions of all AWS Services? Have you passed the AWS Foundation exam? Then this training is the perfect next step!

RequirementsA self-assessment is available online, which you have to pass before you follow the training. It is important to do this fi rst, otherwise you may not be able to keep up. We will contact you after your registration to ask for the result of this assessment. Don’t forget to make it!

Basic programming/scripting skills are required, e.g. JSON/YAML, Bash and/or Python.Do you want to learn more about AWS fi rst? Check out our AWS Developer training at Professional level!What will you learn during this AWS Champion training?Before you start the training, you will have read the paper we have sent you so we can dive straight into AWS. During the training we will distribute ‘labs’. You can work these on during the break, in the evening or after the training. We will show you short demos and work on multiple service exercises with the group. You will get to know mindmaps of important AWS services (80+) and experience a large set of hands-on labs. After the training you will be able to choose and design architectures using diff erent domains.

ProgramYou’re going to work with:• Cloud Landing Zone: setup a secure

environment with IAM, VPC, Route53, CloudWatch and CloudFormation, where you can ‘land’ all type of workloads.

• Enterprise Migration: learn about connectivity between VPCs and on-premises, how to migrate data and services to the cloud using DMS, Snowball, Active Directory and many more tools.

• Develop and Deploy Applications: deploy developed applications in any programming language to AWS. Think of: Java, .NET, Python, NodeJS, Go, or using Docker technology, you learn to use services like Beanstalk, Opsworks, ECS, EKS.

• Big Data & Analytics: learn to use services like EMR, Redshift, Glue, Kinesis to build data-driven applications and data pipelines.

• Machine Learning: use Sagemaker, Machine Learning Service, and the Machine Learning APIs for speech-to-text and text-to-speech, image recognition, transcribe and translate services, and many more which are rapidly added.

• Serverless: use API gateway, Lambda functions and DynamoDB for the core of your API based web application. Other cloud-native services to develop and deploy applications, without worrying about servers.

• CloudFormation: a very short format to learn all the capabilities of a product. With just a few inline comments, we also explain the why and how.

AWS ChampionAWS Champion Training

Learning Path

21 22

Platform Fundamentals

We're proud to be a Google Cloud Partner providing full training and support across the Google Cloud Platform

The Platform Fundamentals Path is your introduction to the important concepts and terminology for working with the Google Cloud Platform (GCP) products and services. Gain an understanding of the core capabilities of Google Cloud in the four technology pillars: networking, compute, storage, and database on this one-day instructor-led course.

Level: FoundationDuration: 1 dayPrice: €695Course modality: Classroom, Online Instructor-Led More information: https://binx.io/services/training/google-cloud-fundamentals/

This 1-day Foundation level training course provides you with an overview of Google Cloud Platform products and services. We focus on the following topics: Application Development, Business Transformation, Infrastructure, and Security.

Course ObjectivesThe training off ers a combination of presentations, demos, and hands-on labs. You will learn the value of Google Cloud Platform and how to incorporate cloud-based solutions into business strategies. We explore essential concepts and terminology for working with Google Cloud Platform (GCP). You will also get to know many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, and Google Container Engine.

Google Platform Fundamentals

Fundamentals Learning Path

Google Cloud Fundamentals for Azure Professionals

Google Cloud Fundamentals for AWS Professionals



Google Cloud Fundamentals

Platform Fundamentals Learning Path

Learning Path

Platform Fundamentals

Next step: Fundamentals for AWS Professionals & Fundamentals for Azure Professionals21

All our cloud learning paths are designed to meet you where you are, so that the intensity of your training experience is challenging yet acceptable.

‘‘With an impact far beyond technology, cloud essentially is people business.’’

Next:

23 24

Level: Foundation Duration: 1 dayPrice: €695Course modality: Classroom, Online Instructor-Led More information: https://binx.io/services/training/google-cloud-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. With presentations, demos, and hands-on labs, participants get details of similarities, diff erences, and initial how-tos quickly.

ProgramThis course teaches participants the following skills: • Identify Google Cloud counterparts for AWS

IaaS, AWS PaaS, AWS SQL, AWS Blob Storage, AWS Application Insights, and AWS Data Lake

• Confi gure accounts, billing, projects, networks, subnets, fi rewalls, VMs, disks, auto scaling, load balancing, storage, databases, IAM, and more

• Manage and monitor applications• Explain feature and pricing model

diff erences

• Introducing Google Cloud• Getting Started with Google Cloud Platform

• Virtual Machines in the Cloud• Storage in the Cloud• Containers in the Cloud• Applications in the Cloud• Developing, Deploying and Monitoring in the

Cloud• Big Data and Machine Learning in the Cloud

PrerequisitesTo get the most out of this course, participants should: • Have basic profi ciency with networking

technologies like subnets and routing • Have basic profi ciency with command-line

tools • Students are expected to have experience

with Amazon VPC, Amazon EC2 instances, and disks.

• Familiarity with Amazon S3 and AWS database technologies is recommended.

Intended AudienceThis course is intended for the following participants: • Individuals planning to deploy applications

and create application environments on Google Cloud.

• Developers, systems operations professionals, and solution architects getting started with Google Cloud.

• Executives and business decision makers evaluating the potential of Google Cloud to address their business needs.

Google Cloud Fundamentals for AWSProfessionals

Intended Audience

The training is perfect for Developers, Systems Operations Professionals, and Solution Architects planning to deploy applications and create application environments on Google Cloud Platform.

Program• Introduction to Google Cloud Platform• Virtual Machines in the Cloud

• Storage in the Cloud• How does Kubernetes Engine work• How does App Engine work• Big Data and Machine Learning in the Cloud

PrerequisitesYou do not need to be familiar with Public Cloud to participate. Familiarity with the Linux command line, web servers, and text editors is recommended.

Level: Foundation/Intermediate/AdvancedDuration: 1 dayPrice: €695Course modality: Classroom, Online Instructor-Led More information: https://binx.io/services/training/google-platform-fundamentals-for-aws-professionals

This 1-day instructor led course introduces Azure professionals to the core capabilities of Google Cloud in the four technology pillars: networking, compute, storage, and database. With presentations, demos, and hands-on labs, participants get details of similarities, diff erences, and initial how-tos quickly.

Course ObjectivesThis course teaches participants the following skills: • Identify Google Cloud counterparts for

Azure IaaS, Azure PaaS, Azure SQL, Azure Blob Storage, Azure Application Insights, and Azure Data Lake

• Confi gure accounts, billing, projects, networks, subnets, fi rewalls, VMs, disks, auto scaling, load balancing, storage, databases, IAM, and more

• Manage and monitor applications • Explain feature and pricing model diff erences

Intended AudienceThis course is intended for the following participants: • Individuals planning to deploy applications

and create application environments on Google Cloud Platform.

• Developers, systems operations professionals, and solution architects getting started with Google Cloud Platform.

• Executives and business decision makers evaluating the potential of Google Cloud Platform to address their business needs

Program• Introducing Google Cloud• Getting Started with Google Cloud Platform• Virtual Machines in the Cloud• Storage in the Cloud• Containers in the Cloud• Applications in the Cloud• Developing, Deploying and Monitoring in the

Cloud• Big Data and Machine Learning in the Cloud

PrerequisitesTo get the most out of this course, participants should: • Have basic profi ciency with networking

technologies like subnets and routing • Have basic profi ciency with command-line

tools • Have experience with Microsoft Azure and IIS

Google Cloud Fundamentals for Azure Professionals

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Architecting with Google Cloud: Design and Process

Getting Started with Google Kubernetes Engine



Architecting with Google Compute Engine

Professional Cloud Architect Exam

Cloud Architect

A Google Cloud Certifi ed Professional Cloud Architect enables organizations to leverage Google Cloud technologies. Through an understanding of Cloud architecture and Google technology, you design, develop, and manage robust, secure, scalable, highly available, and dynamic solutions to drive business objectives. This learning path builds on the topics covered in the Cloud Fundamentals learning path.

Level: FoundationDuration: 3 daysPrice: €2195Course modality: Classroom, Online Instructor-Led More information: https://binx.io/services/training/architecting-with-google-compute-engine

This three-day instructor-led class introduces participants to the comprehensive and fl exible 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.

Program

• Introduction to Google Cloud• Virtual Networks• Virtual Machines• CloudIAM• Storage and Database Services• Resource Management• Resource Monitoring• Interconnecting Networks• Load Balancing and Autoscaling• Infrastructure Modernization• Managed Services

Intended AudienceCloud Solutions Architects, DevOps Engineers Individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure, with a focus on Compute Engine.

Architecting with Google Compute Engine


Learning Path

Level: FoundationDuration: 2 daysPrice: €1595Course modality: Classroom, Online Instructor-Led More information: https://binx.io/services/training/architecting-with-google-cloud-design-and-process

This two-day instructor-led class equips students to build highly reliable and effi cient solutions on Google Cloud using proven design patterns. It is a continuation of the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine course and assumes hands-on experience with the technologies covered in either of those courses. Through a combination of presentations, design activities, and hands-on labs, participants learn to design Google Cloud deployments that are highly reliable and secure; and how to operate Google Cloud deployments in a highly available and cost-eff ective manner.

Level: FoundationDuration: 1 daysPrice: €695Course modality: Classroom, Online Instructor-Led More information: https://binx.io/services/training/getting-started-with-GKE

Program

Get acquainted with: containers and Docker, Kubernetes orchestration basics, deploying to

Program• Defi ning the Service• Microservice Design and Architecture• DevOps Automation• Choosing Storage Solutions• Google Cloud and Hybrid Network

Architecture• Deploying Applications to Google Cloud• Designing Reliable Systems• Security• Maintenance and Monitoring

Intended AudienceCloud Solutions Architects, Site Reliability Engineers, Systems Operations professionals, DevOps Engineers, IT managers. Individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud.

Architecting with Google Cloud: Design and Process

Getting Started with Google Kubernetes Engine

Kubernetes, and setting up continuous delivery pipelines using Kubernetes.

Intended AudienceSolutions developers, systems operations professionals, and solution architects planning to deploy applications and create application environments on GKE. Executives and business decision makers evaluating the potential of GKE to address business needs.

Next step: Professional Cloud Architect Exam

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Professional Cloud Architect ExamLevel: ProfessionalPrice: $200

A Professional Cloud Architect enables organizations to leverage Google Cloud technologies. With a thorough understanding of cloud architecture and Google Cloud Platform, this individual can design, develop, and manage robust, secure, scalable, highly available, and dynamic solutions to drive business objectives.

Abilities Validated by the Certifi cation• Design and plan a cloud solution architecture• Manage and provision the cloud solution

infrastructure• Design for security and compliance

• Analyze and optimize technical and business processes

• Manage implementations of cloud architecture

• Ensure solution and operations reliability

Recommended Knowledge and Experience3+ years of industry experience including 1+ years designing and managing solutions using GCP.

Cloud Developer

Modernize your legacy services or build cloud-native applications using Google Cloud’s end-to-end solutions. The courses in the Cloud Developer learning path are designed for application developers and programmers who want to learn how to design, develop, and deploy applications that seamlessly integrate components from Google Cloud. This path builds on the Google Cloud Fundamentals Learning Path.

Level: FoundationDuration: 3 daysPrice: €1995Course modality: Classroom, Online Instructor-Led More information: https://binx.io/services/training/developing-applications-with-GCP

Learn how to use GCP services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications. This course covers, among others, developing loosely coupled application components, integrating application components, performing repeatable deployments and the use of Google Kubernetes Engine and Google App Engine Flex. This 3-day training teaches you how to design, develop, and deploy applications that seamlessly integrate components from the Google Cloud ecosystem.

Program• Best Practices for Application Development• Google Cloud Client Libraries, Google Cloud

SDK, and Google Firebase SDK• Overview of Data Storage Options• Best Practices for Using Google Cloud

Datastore

• Performing Operations on Buckets and Objects

• Best Practices for Using Google Cloud Storage

• Handling Authentication and Authorization• Using Google Cloud Pub/Sub to Integrate

Components of Your Application• Adding Intelligence to Your Application• Using Google Cloud Functions for Event-

Driven Processing• Managing APIs with Google Cloud Endpoints• Google Cloud Deployment Manager• Execution Environments for Your Application• Debugging, Monitoring, and Tuning

Performance by Using Google Stackdriver

Intended AudienceThis training is perfect for Application Developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud Platform.

Developing Applications with Google Cloud Platform

Cloud Developer Learning Path

Learning Path

For more information about the “Getting Started with Google Kubernetes Engineer” training, please refer to the GCP Architect Learning Path.

Cloud Developer Learning Path= foundational = intermediate


Developing Applications with Google Cloud Platform

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Data Engineer

A Professional Data Engineer enables data-driven decision making by collecting, transforming, and publishing data. A Data Engineer should be able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance; scalability and effi ciency; reliability and fi delity; and fl exibility and portability. A Data Engineer should also be able to leverage, deploy, and continuously train pre-existing machine learning models.

Level: FoundationDuration: 1 dayPrice: €695Course modality: Classroom, Online Instructor-Led More information: binx.io/services/training/google-cloud-data-engineering

This 1-day Foundation level training introduces you to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides an overview of the Google Cloud Platform and takes you on a deep-dive into the data processing capabilities.

Course ObjectivesYou will learn to process Big Data at scale for analytics and Machine Learning. You will explore the fundamentals of building new machine learning models and creating streaming data pipelines and dashboards.

Intended Audience

The training is perfect for Data Engineers, Data Scientists, Tech Leads, Solution Engineers and Data Analysts.

Program• Introducing Google Cloud Platform• Compute and Storage Fundamentals• Data Analytics on the Cloud• Scaling Data Analysis• Machine Learning• Data Processing Architectures

PrerequisitesBefore enrolling in this course, you should have a year of experience with one or more of the following: A common query language like SQL Extract, transform, load activities Data modeling Machine learning and/or statistics Programming in Python.

Google Cloud Platform Fundamentals: Big Data & Machine Learning

Learning Path

Preparing for the Professional Data Engineer Examination

Data Engineering on Google Cloud Platform

Google Certified Data Engineer - Professional

Data Engineer Learning Path= foundational = intermediate


Data Engineer Learning Path

Level: ProfessionalDuration: 4 daysPrice: €2495Course modality: Classroom, Online Instructor-Led More information: binx.io/services/training/google-cloud-data-engineering

This training prepares you to design and build data processing systems on the Google Cloud Platform. You will learn how to analyze data and carry out Machine Learning. We cover structured, unstructured, and streaming data.

Course ObjectivesThis 4-day training off ers a combination of presentations, demos, and hands-on labs. You will learn how to design data processing systems, build end-to-end data pipelines, analyze data, and carry out Machine Learning.

Intended AudienceExperienced developers who are responsible for extracting, loading, transforming, cleaning, and validating data, and designing pipelines and architectures for data processing. This training is also suitable for professionals with the responsibility of creating and maintaining Machine Learning and statistical models, querying datasets, visualizing query results, and creating reports.

• Google Cloud Dataproc Overview• Running Dataproc Jobs• Integrating Dataproc with Google Cloud

Platform• Making Sense of Unstructured Data with

Google’s Machine Learning APIs• Serverless data analysis with BigQuery• Serverless, autoscaling data pipelines with

Datafl ow• Getting started with Machine Learning• Building ML models with Tensorfl ow• Scaling ML models with CloudML• Feature Engineering• Architecture of streaming analytics pipelines• Ingesting Variable Volumes• Implementing streaming pipelines• Streaming analytics and dashboards• High throughput and low-latency with

Bigtable

PrerequisitesBefore enrolling, you need to complete the Google Cloud Fundamentals: Big Data & Machine Learning course, or have basic profi ciency with: a common query language like SQL, data modeling, extracting, transforming, and loading activities, developing applications using a programming language like Python, and Machine Learning and/or statistics.


A Data Engineer should also be able to leverage, deploy, and continuously train pre-existing machine learning models.

Abilities Validated by the Certifi cationDesign data processing systemsBuild and operationalize data processing systemsOperationalize machine learning modelsEnsure solution quality


Data Engineering on Google Cloud Platform

Professional Data Engineer Exam

Program

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Cloud Network Engineer

This path is for IT network professionals who are responsible for the implementation, deployment and maintenance of public cloud and hybrid cloud networking. It prepares you to design, develop and manage cloud networking solutions to drive business objectives.

Level: Foundation/Intermediate/AdvancedDuration: 2 daysPrice: €1595Course modality: Classroom, Online Instructor-Led More information: binx.io/services/training/google-cloud-networking

Become a Cloud Network Engineer on GCP. Implement VPCs, hybrid connectivity, network services, and security for established network architectures for successful cloud implementations. This course is part of Google's Network Engineering track that leads to the Professional Cloud Network Engineer certifi cate.

Course ObjectivesThis 2-day training off ers a combination of presentations, demos, and hands-on labs.• You will explore and deploy GCP networking

technologies, such as Google Virtual Private Cloud (VPC) networks, subnets, fi rewalls; interconnection among networks; load balancing; Cloud DNS; Cloud CDN; Cloud NAT.

• We will also cover common network design patterns and automated deployment using Deployment Manager or Terraform.

Intended AudienceJoin us if you are a Network Engineers or Admins who uses Google Cloud Platform or is planning to do so and want to get to know the software-defi ned networking solutions in the Cloud.

Program• Google Cloud VPC Networking Fundamentals• Controlling Access to VPC Networks• Sharing Networks across Projects• Load Balancing• Hybrid Connectivity• Networking Pricing and Billing• Network Design and Deployment• Network Monitoring and Troubleshooting

Prerequisites• Before enrolling, you need to complete

the Google Cloud Fundamentals: Core Infrastructure course, or have equivalent experience.

• Prior understanding of the 7 layer OSI model, IPv4 addressing and routes will help you get the most out of this training.

Networking in Google Cloud Platform

Cloud Network Engineer Learning Path

Networking in Google CloudPlatform



Google CloudFundamentals: Core Infrastructure

Professional Cloud Network EngineerExam

Cloud Network Engineer Learning Path

Learning Path


A Professional Cloud Network Engineer implements and manages network architectures in Google Cloud Platform. This individual has at least 1 year of hands-on experience working with Google Cloud Platform and may work on networking or cloud teams with architects who design the infrastructure. By leveraging experience implementing VPCs, hybrid connectivity, network services, and security for established network architectures, this individual ensures successful cloud implementations using the command line interface or the Google Cloud Platform Console.

Abilities Validated by the Certifi cationDesign, plan, and prototype a GCP NetworkImplement a GCP Virtual Private Cloud (VPC)Confi gure network servicesImplement hybrid interconnectivityImplement network security


Professional Cloud Network Engineer Exam

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Cloud Security Engineer

A Professional Cloud Security Engineer enables organizations to design and implement a secure infrastructure on Google Cloud Platform. Through an understanding of security best practices and industry security requirements, this individual designs, develops, and manages a secure infrastructure leveraging Google security technologies.

Level: ProfessionalDuration: 2 daysPrice: €1595Course modality: Classroom, Online Instructor-Led More information: https://xebia.com/academy/en/training/google-cloud-security

Become a Professional GCP Security Engineer. Gain the knowledge and skills to design, develop, and manage a secure infrastructure leveraging Google security technologies.

Course ObjectivesThis 2-day training off ers a combination of presentations, demos, and hands-on labs. You will explore and deploy the components of a secure GCP solution. You will learn mitigation techniques for attacks at many points in a GCP-based infrastructure, like Distributed Denial-of-Service attacks, phishing attacks, and threats involving content classifi cation and use.

Intended AudienceThis training is ideal for Cloud Information Security Analysts, Architects, Engineers, Information Security/Cybersecurity Specialists, Cloud Infrastructure Architects, and Developers of Cloud applications.

• Foundations of GCP Security• Cloud Identity

• Identity and Access Management• Confi guring Google Virtual Private Cloud for

Isolation and Security• Monitoring, Logging, Auditing, and Scanning• Securing Compute Engine: techniques and

best practices• Securing cloud data: techniques and best

practices• Protecting against Distributed Denial

of Service Attacks: techniques and best practices

• Application Security: techniques and best practices

• Content-related vulnerabilities: techniques and best practices

PrerequisitesBefore enrolling, we advise you to complete the Google Cloud Fundamentals: Core Infrastructure / Networking in Google Cloud Platform course. We recommend you have:

• Knowledge of foundational concepts of Information Security

• Basic profi ciency with command-line tools and Linux operating system environments

• Systems Operations experience (deploying and managing applications on-premises or in a public cloud environment)

• Reading comprehension of code in Python or JavaScript

Security in Google Cloud Platform

Cloud Security Engineer Learning Path= foundational = intermediate


Security in Google Cloud Platform

Professional Cloud Security Engineer Certificate

Coud Security Engineer Learning Path

Learning Path

Program


The Cloud Security Professional should be profi cient in all aspects of Cloud Security including managing identity and access management, defi ning organizational structure and policies, using Google technologies to provide data protection, confi guring network security defenses, collecting and analyzing Google Cloud Platform logs, managing incident responses, and an understanding of regulatory concerns.

Abilities Validated by the Certifi cation• Confi gure access within a cloud solution

environment• Confi gure network security• Ensure data protection• Manage operations within a cloud solution

environment• Ensure compliance

Recommended Knowledge and Experience• 3+ years of industry experience including

1+ years designing and managing solutions using GCP.

Professional Cloud Security Engineer Exam

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From Data to Insights with Google Cloud Platform

Data Analyst Learning Path= foundational = intermediate


Data Analyst

This path is for IT network professionals who are responsible for the implementation, deployment and maintenance of public cloud and hybrid cloud networking. It prepares you to design, develop and manage cloud networking solutions to drive business objectives.

Level: FoundationDuration: 3 daysPrice: €1995Course modality: Classroom, Online Instructor-Led More information: https://google.qwiklabs.com/courses/1157

This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform.

Course ObjectivesYou will learn how to explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. You will develop an understanding of data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization.

Intended AudienceThis 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

• Introduction to Data on GCP• Big Data Tools Overview• Exploring your Data with SQL• Google BigQuery Pricing• Cleaning and Transforming your Data• Storing and Exporting Data• Ingesting New Datasets into Google

BigQuery• Data Visualization• Joining and Merging Datasets• Advanced Functions and Clauses• Schema Design and Nested Data Structures• More Visualization with Google Data Studio• Optimizing for Performance• Advanced Insights• Data Access

PrerequisitesTo get the most out of this specialization, we recommend some profi ciency with ANSI SQL.

From Data to Insights with Google Cloud Platform

Data Analyst Learning Path

Learning Path

ProgramWe are proud to share our knowledge

with cool companies including:

Our Clients

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Overview

Wietse Venema As an engineer I am always looking to fi nd clear solutions for complex problems. I split my time between consulting, engineering, and training to make other developers awesome. In 2020 my book will be published by O’Reilly: “Mastering Serverless Applications with Google Cloud Run”

Mark van Holsteijn is a senior software systems architect, and CTO of binx.io. He is passionate about removing waste in the software delivery process and keeping things clear and simple. Using Cloud Technology to achieve this is one of his favourite party tricks. He has been moving customers to the cloud, since 2013.

Maarten Baijs is a full-stack cloud consultant with a background in software engineeringMaarten holds four GCP certifi cates (Professional Data Engineer, Professional Cloud Developer, Professional Security engineer, Professional Cloud Architect).

Trainers

Martijn van de Grift is a cloud consultant at Binx.io who obtained a wide variety of technical AWS & GCP certifi cations. He loves to share this passion during training and webinars. Not only is Martijn a guest lecturer at the Amsterdam University of Applied Sciences, he is also an Authorized Instructor for both Amazon Web Services as Google Cloud Platform.

Dennis Vriend is a software/cloud engineer and works at Binx.io in the Netherlands, holds a bachelor degree in software engineering from Amsterdam University of Applied Sciences and and really likes designing, programming and architecting distributed systems.

Constantijn Visinescu is an all-round IT professional with signifi cant experience in GCP development, design, architecture and consultancy.In the technical arena, he fi nds his most entertaining challenges in fi nding simple solutions to hard problems, preferably using lightweight architectures and a healthy dose of common sense.

Laurens Knoll As a cloud consultant I enjoy taking software engineering practices to the cloud. Continuously improving the customers systems, tools and processes by focusing on integration and quality.

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