

Our Courses

NoSQL, Big Data, and Spark Foundations
Big Data Engineers and professionals with NoSQL skills are highly sought after in the data management industry. This Specialization is designed for those seeking to develop fundamental skills for working with Big Data, Apache Spark, and NoSQL databases.
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Self Paced
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English

Cloud-Native Development with OpenShift and Kubernetes
This specialization is intended for application developers, system administrators and architects seeking to develop their understanding of container technology. In this three-course specialization, you will explore a range of foundational concepts from various use cases for containerized technology to understanding the differences between Kubernetes and Red Hat OpenShift to learning how to scale deployed applications.
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Self Paced
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English

Developing Applications with Google Cloud
In this specialization, application developers learn how to design, develop, and deploy applications that seamlessly integrate managed services from Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants learn how to use Google Cloud services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications.
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Self Paced
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English

IBM DevOps and Software Engineering
DevOps professionals are in high demand!
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Self Paced
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English

Introduction to the Juniper Contrail Networking Solution
This course will introduce you to Juniper Networks Contrail Networking (CN2) , a cloud-native SDN solution for intelligent networking and security for Telco and IT cloud. You will learn about the concepts of a virtual network, underlays and overlays, as well as tunneling protocols such as VXLAN. The course will explore Network Functions Virtualization (NFV) and software-defined networking (SDN) approaches. You will learn about cloud-native Contrail Networking architecture and integration with orchestrations systems such as Kubernetes.
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Self Paced
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4 hours
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English

Architecting Hybrid Cloud Infrastructure with Anthos
This specialization is intended for technical engineers, architects, and administrators using Google Cloud Platform (GCP), Kubernetes, and Istio to create, integrate, or modernize solutions. You will learn modernizing, managing, and observing microservices-based applications that span multiple clusters in GCP, on-premises, or other cloud providers.
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Self Paced
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English

IBM Full Stack Software Developer
Prepare for a career in the high-growth field of software development. In this program, you’ll learn in-demand skills and tools for front-end, back-end, and cloud native application development to get job-ready in less than 4 months. Full stack refers to the end-to-end computer system application, including the front end and back end coding. Cloud native development refers to developing a program designed to work on cloud architecture. The flexibility and adaptability that full stack and cloud native developers provide make them highly sought after in this digital world.
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Self Paced
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English

Building Cloud Computing Solutions at Scale
With more companies leveraging software that runs on the Cloud, there is a growing need to find and hire individuals with the skills needed to build solutions on a variety of Cloud platforms. Employers agree: Cloud talent is hard to find.
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Self Paced
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English

Developing Containerized Applications on Google Cloud
In this course, you learn about containers and how to build, and package container images. The content in this course includes best practices for creating and securing containers, and provides an introduction to Cloud Run and Google Kubernetes Engine for application developers.
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Self Paced
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6 hours
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English

Architecting with Google Kubernetes Engine
The Architecting with Google Kubernetes Engine specialization will teach you how to implement solutions using Google Kubernetes Engine, or GKE, including building, scheduling, load balancing, and monitoring workloads, as well as providing for discovery of services, managing role-based access control and security, and providing persistent storage to these applications.
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English

How to Use a Network Policy on Google Kubernetes Engine
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you learn how to improve the security of your Kubernetes Engine by applying fine-grained restrictions to limit intra-cluster network communication.
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Self Paced
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1 hour
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English

IBM Back-End Development
Prepare for a career in the high-growth field of software development.
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Self Paced
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English

Connect to Cloud SQL from an Application in Kubernetes Engine
This is a self-paced lab that takes place in the Google Cloud console. This lab shows how easy it is to connect an application in Kubernetes Engine to a Cloud SQL instance using the Cloud SQL Proxy container as a sidecar container. You will deploy a Kubernetes Engine cluster and a Cloud SQL Postgres instance and use the Cloud SQL Proxy container to allow communication between them.
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Self Paced
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1 hour
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English

Introduction to Containers, Kubernetes and OpenShift
This course introduces you to containers and its emerging ecosystem of related technologies such as Docker, Kubernetes, OpenShift, and Istio. You will not only understand the concepts but also practice hands-on in the cloud.
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20
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English

Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes
This is a self-paced lab that takes place in the Google Cloud console. AutoML Vision helps developers with limited ML expertise train high quality image recognition models. In this hands-on lab, you will learn how to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).
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Self Paced
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2 hours
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English

Créer un Service Mesh avec ISTIO
Dans ce cours d'une heure, basé sur un projet, vous apprendrez les bases d'ISTIO, vous apprendrez à l'installer dans un cluster Kubernetes pour créer, gérer et superviser des applications.
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Self Paced
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3 hours
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French

Compute Resources in Azure
This course is primarily aimed at first- and second-year undergraduates interested in engineering or science, along with high school students and prCompute Resources in Azure Course is the third course of Exam Prep AZ-104: Microsoft Azure Administrator Associate Specialization. This course focuses on Compute Resources in Azure. The course discusses more on the Virtual machines, App Services, and Container Services overview and demonstrations. The course is divided into three modules and each module is further segmented by Lessons and Video Lectures.
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Self Paced
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7 hours
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English

IBM Applied DevOps Engineering
Gain the in-demand skills to advance from programming to DevOps engineering. In this program, you’ll learn the latest DevOps practices, tools, and technologies from experts at IBM to get job-ready in less than 3 months. Almost every company is looking to become more Agile and shorten software development cycles, creating a high demand for DevOps Engineers!
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Self Paced
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Introduction to Kubernetes
Want to learn Kubernetes? Get an in-depth primer on this powerful system for managing containerized applications.
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Self Paced
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54
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English

Introduction to Serverless on Kubernetes
Learn how to build serverless functions that can be run on any cloud, without being restricted by limits on the execution duration, languages available, or the size of your code.
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Self Paced
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54
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English

Introduction to Cilium
Get a practical introduction to using Cilium as the networking plug-in for Kubernetes, including installation, observability with Hubble, securing network connections, and multi-cluster support - all based on eBPF for scalability, performance, and security.
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11
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English

Introduction to Service Mesh with Linkerd
Learn the basics of the service mesh and get hands-on practical experience with Linkerd, the open source, open governance, ultralight CNCF service mesh for Kubernetes, including transparent mTLS, golden metrics, traffic shifting, and multi-cluster communication.
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Self Paced
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30
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English

Introduction to Cloud Foundry
Deploying and managing applications securely and efficiently is critical in today's technology organizations. As a result, organizations are turning to Kubernetes to run their workloads, only to find massive complexity associated with the platform. Learn about Cloud Foundry, the modern model to deliver cloud-native applications to any infrastructure, including Kubernetes, in this free online course.
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Self Paced
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15
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English