What is Cloud Computing? Cloud computing is the delivery of on-demand computing services such as servers, storage, networking, databases, analytics, software development platforms through a cloud services provider such as AWS, Microsoft Azure, Google Cloud and many more via the internet on a pay as you use basis. More and more companies are moving to the cloud which makes Cloud Computing and DevOps career tracks more in demand than ever before. Let’s look at a list of popular cloud computing courses on Coursera:
Google Cloud Platform Fundamentals: Core Infrastructure
Google Cloud Platform Fundamentals: Core Infrastructure course introduces important concepts and terminology to enable you to work on the Google Cloud Platform. You will learn about many of the storage and computing services, including App Engine, Compute Engine, Kubernetes Engine, Cloud Storage, Cloud SQL, and BigQuery. What’s more, you will learn about important policy and resource management tools such as Google Cloud Resource Manager and Identity and Access Management.
Architecting with Google Cloud Platform Specialization
Architecting with Google Cloud Platform Specialization introduces the flexible and comprehensive infrastructure and platform services provided by Google Cloud Platform. This course offers a combination of demos, presentations, hands-on labs, exploration and deployment of solutions, infrastructure components such as systems, networks and application services. It covers deploying practical solutions including securely interconnecting networks, encryption keys, security and access management, billing and quotas, and resource monitoring.
AWS Fundamentals: Going Cloud-Native
AWS Fundamentals: Going Cloud-Native introduces the Amazon Web Services(AWS) core services and infrastructure. It demonstrates the uses and configuration of AWS services to deploy and host cloud-native applications. Technologies such as AWS Cloud Infrastructure, Elastic Compute Cloud (Amazon EC2), Lightsail Compute Services, Virtual Private Cloud(VPC), Elastic Block Storage(EBS), Simple Storage Services(S3), Elastic File Services(EFS), AWS Databases, Cloud Watch, Elastic Load Balancing and Auto Scaling and much more.
Machine Learning with TensorFlow on Google Cloud Platform Specialization
Machine Learning with TensorFlow on Google Cloud Platform Specialization course offers an in-depth look into machine learning and what kinds of problems it can solve. What is machine learning? Why are neural networks so popular at this age and time? You will learn how to write distributed machine learning models that scale in Tensorflow and offer high-performance predictions. Convert raw data in such a way that enables machine learning to learn important characteristics from the given data and bring human insight to the table.
Getting Started with Google Kubernetes Engine
Getting Started with Google Kubernetes Engine course offers a one-week online class that equips learners to container workloads in Docker containers, deploy them in Kubernetes clusters provided by Google Kubernetes Engine, and scale workloads to handle increased traffic. You will learn how to continuously deploy new code in Kubernetes that updates applications.
Essential Cloud Infrastructure: Core Services
Essential Cloud Infrastructure: Core Services course introduces learners to the flexible and comprehensive infrastructure and platform services that are provided by the Google Cloud Platform. There is a combination of video lectures, hands-on labs, demos, explore and deploy solutions, infrastructure components such as systems, networks and applications services. Deploying practical solutions including securing interconnection of networks and much more is also covered in this course.
Essential Cloud Infrastructure: Foundation
Essential Cloud Infrastructure: Foundation is an on-demand course that introduces learners to the various platform services provided by Google Cloud Platform. It offers a combination of demos and video lectures including hands-on practical labs where you can deploy and explore various services. This 1-week course also introduces you to work on the GCP console and Cloud Shell.
Security in Google Cloud Platform Specialization
Security in Google Cloud Platform Specialization offers recorded lectures, hands-on labs, demonstrations on how to deploy a secure solution on Google Cloud Platform. This includes Cloud identity, GCP Resource Manager, Cloud IAM, Google Virtual Private Cloud Firewalls, Google Cloud Load Balancing, Cloud CDN, Cloud Storage access control technologies, Stackdriver, Security Keys, Customer Supplied Encryption Keys, Google Data Loss Prevention API, and Cloud Armor. Learners will learn about the migrations for attacks at many points in a GCP-based infrastructure, including Distributed Denial of Service attacks, phishing attacks, and other threats.
IBM Microservices Specialization
IBM Microservices Specialization is a specialization course intended for application developers and cloud engineers seeking to understand the benefits of microservices architecture and container-based applications. You will learn how to develop and deploy microservices applications with Kubernetes on the IBM Cloud and IBM Private Cloud through a continuous release pipeline.
Elastic Cloud Infrastructure: Scaling and Automation
Elastic Cloud Infrastructure: Scaling and Automation course introduces learners to the flexible and comprehensive infrastructure and platform services that are provided by the Google Cloud Platform. There is a combination of video lectures, hands-on labs, demos, explore and deploy solutions, infrastructure components such as systems, networks and applications services. The focus of these courses is an in-depth look at scaling and automation on Google Cloud Platform.
Networking in Google Cloud Platform Specialization
Networking in Google Cloud Platform Specialization course gives learners a broad study of core infrastructure and networking options on the Google Cloud Platform. This includes hands-on labs, exploring and deploying GCP networking technologies such as Google Virtual Private Cloud networks, subnets, firewalls, interconnection among networks, load balancing, Cloud DNS and Cloud CDN.
Reliable Cloud Infrastructure: Design and Process
Reliable Cloud Infrastructure: Design and Process online course equips learners with the ability to build reliable and efficient solutions on Google Cloud Platform using design patterns and principles derived from Google Site Reliability Engineering.
Launching into Machine Learning
Launching into Machine Learning course discusses the history of machine learning, why neural networks today perform so well in a variety of data science problems. The course also covers how to set up a supervised learning problem and find a solution using gradient descent. This involves creating datasets that permit generalization, the methods of doing so in a repeatable way that supports experimentation.
Continuous Delivery & DevOps
Continuous Delivery & DevOps course offers an insight into the skillsets and roles involved in DevOps and how to contribute to a continuous delivery pipeline. You will review and deliver automation tests across the development stacks. What is also covered is the explanation that explains the key jobs of system operations and how today’s leading techniques and tools apply to them.
Site Reliability Engineering: Measuring and Managing Reliability
Site Reliability Engineering: Measuring and Managing Reliability course teaches the theory of Service Level Objectives, a principal way of describing and measuring the desired reliability of service. Once you complete this course you should be able to apply these services to your own organizations.
Applied AI with DeepLearning
Applied AI with DeepLearning course is part of the IBM Advanced Data Science certificate which IBM is currently creating that gives you easy access and insights into Deep Learning models used by experts in Natural Language Processing, Computer Vision, Time Series Analysis and many other disciplines. This course also introduces popular DeepLearning Frameworks such as Keras, TensorFlow, PyTorch, DeepLearning4j and Apache SystemML.
Chad is a Software/DevOps Engineer with exposure and experience in various technologies and enterprise ICT environments. He has a huge passion for Technologies, specifically Linux and Open Source Software.
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