Hier erfahren Sie, wie Sie Ihre Cloud-Computing-Karriere mithilfe von Online-Lernplattformen starten können.

I jumpstarted my cloud computing career using online learning platforms. Initially, I explored basics through beginner courses on Coursera and Udemy. Interactive labs on platforms like AWS and Google Cloud provided hands-on experience. Engaging in forums and study groups helped me deepen my understanding. Regularly reading industry blogs kept me updated on trends. Consistent practice and project work solidified my skills and confidence.

If I were to start a career in computing nowadays, I would start at the base, with in-depth knowledge of networks and their protocols, have an in-depth understanding of the Linux operating system, and be very clear about the concepts of public and private cloud, forms of implementation IAAS, PAAS and SAAS, and then seek to know the major public cloud players of the moment

To start your journey in Cloud Computing then read about Cloud Computing from the internet to understand the definition, basic architecture, its uses, and challenges. Try out a hands-on from any public cloud service providers such as AWS, Google Compute, or Azure. They offer free tier usage for a limited resource. Read papers, blogs, articles on cloud via LinkedIn, Quora, white papers to know about the latest happenings. Try out deploying your own cloud using your personal PC/Laptop using OpenStack. Extensive documentation is available for this and that should help you very easily.

Better to start with free learning resources (Youtube, Coursera, Edx, Cisco) etc to confirm this is the path for you. After getting traction and passion for cloud computing, try paid certification courses and get into the track by participating in online discussions, networking ( eg linkedin) and any event you can attend. Using linkedin, connect with senior mentors, get advice and move forward professionally.

To illustrate a practical application of these fundamental cloud computing principles, let's consider a real-world example using Google Cloud Platform (GCP). Imagine a startup launching an e-commerce application. Using GCP's Infrastructure as a Service (IaaS), they deploy virtual machines via Google Compute Engine to handle web traffic. They utilize Google Cloud Storage for storing product images and user data, ensuring scalability and reliability. For their database needs, they opt for Cloud SQL, a fully-managed relational database service. Additionally, leveraging Google Kubernetes Engine (GKE) for container orchestration enables efficient scaling and management of their microservices architecture.

Step Up Now! After getting basic knowledge , its time to learn core skills related to cloud computing and it is essential to get sufficient understanding of these skills so you can reach expert level.

For instance, using Google Cloud Platform (GCP), you can create a virtual private cloud (VPC) to isolate your resources, set up Compute Engine instances for scalable virtual machines, and use Google Kubernetes Engine (GKE) to orchestrate containerized applications. Additionally, learn about cloud security and compliance by implementing Identity and Access Management (IAM) roles to control permissions and using Cloud Security Command Center to monitor and secure your environment. Online courses often include hands-on labs and interactive projects, providing invaluable practical experience.

Following the line of reasoning, after having a great understanding of the pillars of cloud computing, we can try to specialize in some large public cloud player, such as AWS, Azure or GCP, and then find out which cloud segment has the most affinity, architecture, infrastructure, devops, security, and specialize in these topics, seeking certifications, for example

After grasping the basics of cloud computing, it's vital to dive into core skills like virtualization, managing cloud infrastructures, and understanding leading cloud service providers. Key areas also include cloud security and compliance. Hands-on labs and interactive courses are invaluable. Platforms like Coursera and AWS Training offer excellent practical experiences. Focusing on these skills builds a strong foundation, enabling you to address real-world cloud challenges effectively

10 Thousand Hours! An expert has invested around 10,000 hours of working, including learning, hands on practice, sharing, and relearing (yes, needs to learn and relearn) The Cloud Computing is ever evolving field and learning needs not to be stopped.

I believe that bringing the knowledge acquired theoretically into practice, whether for the community or for your company, is fundamental, hands-on work is fundamental to have the most specific knowledge for each cloud service, carrying out POCS, contributions to public repositories, can also be ways of gaining expertise outside the corporate world

Nowadays there are hundreds of good tools and resources to contribute to your development in cloud computing, platforms such as Udemy, Microsoft Learn, AWS documentation, generative artificial intelligence, there are several ways, many of them free, to delve deeper into the cloud world.

Learning will not be completed till it is not being implemented. Learn to perform tasks and learn and again. Start working with simple tasks, build prototype and move to open source contribution.

Contributing to the community, through projects, models, articles, proofs of concept, bug fixes in public repositories, are non-corporate ways of building projects, for professionals who want to enter the corporate world of cloud computing

Networking is very important be it is human networking or/and system. Learn Networking (IP Datacom) principles as it helps alot in running /building cloud infrasuctures. Build your Network, with effective communication and collaboration