As businesses continue to adopt cloud technology to store, manage and analyze their data, Google Cloud Platform (GCP) is quickly emerging as one of the top cloud computing platforms in the market. With the growing popularity of GCP, the need for skilled professionals who can work with this platform is also on the rise. As a result, the demand for Google Cloud training is increasing, and the landscape of GCP training trends is evolving rapidly. Whether you’re a beginner, a professional looking for upskilling, or an organization looking to train your employees, understanding the latest GCP training trends will help you stay ahead of the curve as well as maximize the benefits of this powerful cloud platform. This article closely examines the latest GCP training trends, the future of Google Cloud certification, and the Google cloud innovations to watch.
What is Google Cloud Training?
Google Cloud Training is an education program designed to equip professionals with desired and high-paying skills and knowledge they need to use the Google Cloud Platform (GCP) effectively. The training program offers a wide range of courses, from beginner to advanced levels, covering different aspects of GCP, including cloud architecture, data analytics, machine learning, application development, and more.
Google Cloud Training allows learners to choose from various learning paths that match their learning style, goals, and schedule. The training program offers online, self-paced, instructor-led, and hands-on labs, enabling learners to choose the best learning option that fits their needs.
The training program is designed to help learners gain practical skills and hands-on experience using GCP. The courses are delivered by Google Cloud experts and industry professionals, who provide learners with insights and best practices to succeed in their roles.
Upon completing the training program, learners can take Google Cloud certification exams to validate their skills and demonstrate their expertise in using GCP. Google Cloud certification is a globally recognized credential that can help professionals advance their careers, attract more job opportunities, and increase their earning potential.
Increased GCP Training Trends
As more companies are moving their workloads to the cloud, the demand for the future of the GCP training trend is expanding rapidly. According to a report by Global Market Insights, the global cloud computing market will reach $1 trillion by 2024, and GCP is one of the major players in the market. This means that GCP training will become even more critical, and it will become one of the most highlighted parts of the future of Google Cloud Certification.
Focus on AI and Machine Learning
One of the most significant GCP training trends is the increasing focus on AI and machine learning. With the rise of big data, companies are looking for ways to analyze and extract insights from their data. This is where AI and machine learning come into play. GCP offers a range of AI and machine learning tools, including TensorFlow, Cloud AutoML, and Cloud Machine Learning Engine.
Emphasis on Cloud Security
As more companies move their data and applications to the cloud, the need has become paramount. GCP provides a range of security features, such as Identity and Access Management (IAM), Encryption at Rest, and Encryption in Transit. However, these features need to be configured and managed correctly to ensure data security.
Rise in Future of Google Cloud Certifications
Google offers a range of cloud certifications for IT professionals, developers, and architects. These certifications validate the skills and knowledge required to design, develop, and manage GCP solutions. As the demand for GCP skills increases, the importance of these certifications is also growing. We expect to see more people obtaining GCP certifications to demonstrate their expertise in the platform.
Increased Adoption of Kubernetes
Kubernetes is an open-source container orchestration system widely used to manage containerized applications. GCP offers Kubernetes as a managed service called Google Kubernetes Engine (GKE). As more companies adopt containerization, the demand for GKE training also increases. In addition, Kubernetes is becoming the de facto standard for container orchestration, which means that GKE training will become even more critical.
Growing Importance of Serverless Computing
It is a cloud computing model where the provider manages the infrastructure and automatically allocates resources as needed. GCP offers serverless computing services, such as Cloud Functions and Cloud Run. As the demand for serverless computing grows, the GCP training trend in this area will also increase.
Advancements in Cloud-Native Development
Cloud-native development is an approach to software development that emphasizes scalability, resilience, and portability. GCP provides a range of tools for cloud-native development, including Kubernetes, Istio, and Anthos. As more companies adopt cloud-native development, the GCP training trend will erupt astonishingly.
Importance of Multi-Cloud Management
GCP offers Anthos, a hybrid and multi-cloud platform that allows companies to manage their applications across different cloud providers. While GCP is a powerful cloud platform, many companies use multiple providers to avoid vendor lock-in and maximize flexibility.
Integration of IoT and Edge Computing
The Internet of Things (IoT) and edge computing transform businesses’ operations. GCP offers a range of IoT and edge computing tools, including Cloud IoT Core and Edge TPU. As more companies adopt IoT and edge computing, there will be no end to GCP training trend.
Google Cloud Innovations to Watch
Google Cloud is constantly evolving and introducing new products and services to its platform. Here are some of the exciting Google cloud innovations to watch in 2023 and beyond:
BigQuery Omni: BigQuery Omni is a new service that allows companies to analyze data across multiple cloud providers, including AWS and Azure. This means that companies can now access and analyze data from different cloud providers in one centralized location, making gaining insights from data across multiple platforms easier. With BigQuery Omni, companies no longer need to move data between cloud providers, resulting in faster data analysis and better decision-making.
Confidential Computing: GCP offers confidential computing, which allows companies to process sensitive data in a secure and encrypted environment. This is accomplished by using hardware-based encryption to protect data in transit and at rest, ensuring that sensitive information is always kept safe. This innovation is beneficial for companies that handle sensitive data, such as healthcare and financial institutions.
AI and ML Advancements: Google is continually improving its AI and ML tools, such as AutoML and TensorFlow, to help companies extract insights from their data. AutoML enables companies to build custom machine learning models without requiring a deep understanding of machine learning. TensorFlow is a robust open-source machine-learning framework that allows companies to build complex machine-learning models to extract insights from their data. These AI and ML advancements are critical in today’s data-driven world, where companies need to extract insights from massive amounts of data.
Serverless Containers: Google is developing a new serverless container technology called Cloud Run for Anthos, which allows companies to run containers on a serverless platform. This innovation is beneficial for companies that need to run applications on a container platform but want to avoid managing the underlying infrastructure. With Cloud Run for Anthos, companies can deploy and scale containerized applications in a serverless environment, reducing infrastructure management costs and improving scalability.
Expanded Anthos Capabilities: Google is expanding the capabilities of Anthos to support more cloud providers, including AWS and Azure. Anthos is an application management platform that allows companies to manage and deploy applications across multiple cloud providers. By expanding the capabilities of Anthos, companies can manage their applications across different cloud providers, making it easier to migrate applications between cloud providers and reduce vendor lock-in.
Learn Google Cloud Training from QwikSkills
As the GCP training trend continues to rise, it’s essential to choose the right training provider to ensure you have the necessary skills to meet the demands of the industry. This is where QwikSkills can help.
QwikSkills is a leading online learning platform that offers comprehensive Google cloud training programs designed to help individuals and organizations develop their skills in GCP. With it, you can access various GCP courses, including fundamental and advanced courses in cloud computing, Kubernetes, machine learning, and more.
The platform provides hands-on labs, quizzes, and assessments that help learners understand GCP concepts and put their skills into practice. QwikSkills also offers GCP certification courses, which prepare learners for the rising trends in the future of Google Cloud certification and exams.
The instructors at QwikSkills are industry experts who provide in-depth knowledge of GCP concepts and technologies. The courses are self-paced, allowing learners to study at their own pace and convenience. QwikSkills also provides 24/7 customer support, ensuring learners receive the necessary help and guidance when needed.
With QwikSkills, you can be sure that you’re receiving high-quality GCP training that prepares you for the industry’s challenges. The platform’s comprehensive training programs, hands-on labs, and expert instructors make it an excellent choice for individuals and organizations looking to develop their skills in GCP. Whether you’re looking forward to starting your career in cloud computing or advancing your existing skills, QwikSkills can help you achieve your goals. So, what are you waiting for? Browse through the website today and book your seat!
