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Computational Intelligence and Security - Google Cloud Platform

Build expert-level skills in continuous intelligence, load optimization, and cloud security on Google Cloud Platform.

With the global cloud computing market&#8201expected to reach $1,143.2 billion by 20281 , there's a fast-growing demand for cloud solutions architects with Google Cloud Platform (GCP) security certification. This rewarding job role demands specialized knowledge and skills related to managing, designing, and implementing cloud-based solutions. And this advanced-level Google Cloud Computational Intelligence and Cloud Security course is ideal for building the sought-after skills you need to move forward in your cloud career. During this course, you will build advanced knowledge and skills in continuous delivery, load testing with Kubernetes, workload optimization and autoscaling, infrastructure provisioning and management with Terraform, cloud security, and reporting. You will also gain hands-on experience of various tools and services offered by Google Cloud - such as Terraform and Kubernetes - that are used for managing and optimizing cloud resources, while also ensuring the safety and compliance of cloud systems. Once you have completed this course, you will have the skills and knowledge needed to design, implement and manage cloud infrastructure effectively. You will be able to use continuous delivery practices to efficiently deliver software in a cloud environment, optimize workloads and auto-scale resources, and manage infrastructure with Terraform. Plus, you will have an understanding of cloud security and reporting to ensure the safety and compliance of cloud systems. If you are looking to advance your career in cloud computing with Google Cloud Platform (GCP) and are looking for GCP security certification, this Google Cloud Computational Intelligence and Cloud Security course will provide you with valuable reference materials to draw on in the GCP exam. The course also prepares you for the role of a Google Cloud solutions architect and Google Cloud enterprise architect. 1 Source: businesswire

Course Overview

This course comprises seven purposely designed modules that take you on a carefully defined learning journey. If you are thinking about taking the course separately, it is worth noting that it is part of the TechMaster Certificate Program in Cloud Computing. You may want to consider enrolling for this program rather than just enrolling for one course at a time. It is a self-paced course, which means it does not run on a fixed schedule with regard to completing modules or submitting assignments. So, as long as the course is completed by the end of your enrollment, you can work at your own pace. And don't worry, you're not alone! You will be encouraged to stay connected with your learning community and mentors through the course discussion space. As part of our mentoring service you will have access to valuable guidance and support throughout the course. Plus, we provide a dedicated discussion space where you can ask questions, chat with your peers, and resolve issues. Once you have successfully completed the course, you will earn your Certificate of Completion.

How It Works

After completing this course, you will: <ul> <li>Have a comprehensive understanding of cloud monitoring and log-based metrics, as well as the ability to manage virtual machines effectively. </li> <li>Have expertise in data analysis with BigQuery, SQL, and Data Studio for effective decision-making. </li> <li>Be proficienct in project planning, deployment, and scaling with Kubernetes for managing cloud workloads. </li> <li>Understand cost-optimization and know how to implement strategies to manage cloud costs effectively. </li> <li>Have knowledge of managing and validating cloud policies to ensure compliance and security in a cloud environment.</li> </ul>

Skills You Will Gain

This program is ideal for: <ul> <li>System administrators.</li> <li>Cloud professionals.</li> <li>Solution architects.</li> <li>Infrastructure architects.</li> <li>Professionals looking to enhance and evidence their skills with cloud architecture certifications.</li> <li>Individuals wishing to build their understanding of Google Cloud Platform (GCP).</li> <li>Professionals preparing for the Professional Cloud Architect certification exam from Google Cloud.</li> <li>Individuals seeking to build their understanding of public cloud, private cloud, and hybrid cloud deployment.</li> <li>Techies wishing to build their understanding the of services offered on GCP.</li> <li>GCP customers seeking to build their understanding of the services offered.</li> </ul>

Who would Enroll On This Course

Required: Bachelor's degree: Computer or technical degrees such as B Tech, BCA, MCA, etc. Additionally, you will also need either: <ul> <li>A basic understanding of cloud computing, and</li> <li>Experience with data analysis, and </li> <li>Familiarity with security principles and networking fundamentals </li> </ul> OR To have completed the Google Cloud Infrastructure Managment course with SkillUp Online.

Prerequisites

Computational Intelligence and Security - Google Cloud Platform - SkillUp Online

Cloud integration refers to the method of combining data from many sources to improve corporate transformation. Companies are adopting innovative systems in modern operations. This is altering their data and the way they use it.

What is meant by cloud integration?

A combination of security techniques aimed to secure cloud-based infrastructure, applications, and data is known as cloud security, also known as cloud computing security. These safeguards provide user and device authentication, information and resource access management, and data confidentiality. They also aid in the adherence to regulatory data. Cloud security is used to safeguard a company's data against distributed denial of service (DDoS) attacks, viruses, hackers, and unauthorized user access or usage in cloud settings.

Why is there a need for cloud security?

Computational intelligence (CI) is a field of study within artificial intelligence (AI) that seeks to develop models and algorithms inspired by nature to solve complex problems. This involves utilizing learning algorithms to develop models that are capable of addressing uncertainty and imprecision in data. There are three main categories of CI algorithms, including Evolutionary Computation (EC), Neural Networks (NN), and Fuzzy Systems (FS). EC utilizes principles of genetics to evolve solutions to problems. NN models are based on biological neurons and are commonly used for pattern recognition, classification, and prediction problems. FS models are used to solve problems that involve uncertainty and imprecision in data, and they use fuzzy logic to represent and process this information.

What is computational intelligence?

CI has many applications in various fields, including robotics, image and signal processing, control systems, and optimization problems. It is especially useful for solving complex problems that traditional approaches may not be able to address due to large numbers of variables or complex interactions between variables.

What are the applications of computational intelligence (CI)?

Yes, cloud security is in high demand as more and more organizations are adopting cloud computing for their business operations. As organizations increasingly rely on cloud computing services to store and process sensitive information, the need for robust and reliable cloud security measures becomes critical to prevent data breaches and cyber-attacks.

Is cloud security in demand? 

Enterprise architects are responsible for the overall architecture of the IT environment, whereas solution architects are responsible for discovering and implementing solutions to specific business challenges. Solution architects are also in charge of overseeing all actions that lead to the effective installation of a new application.

Are Google Cloud Solutions Architect and Google Cloud Enterprise Architect the same?

Yes, this computational intelligence course includes 1-to-1 and discussion space support from technical experts. So, if you ever get stuck with a topic or struggle with a module, you will have assistance on hand from our team of highly experienced mentors.

Will I get help if I get stuck while I am taking this course? 

Yes, this course is ideal for professionals looking to continue their journey towards gaining GCP security certification. It provides excellent training in advanced aspects of Google Cloud and will enable you to progress towards becoming a Google Cloud architect.

Will this course help me to work towards GCP security certification?

Cloud integration refers to the method of combining data from many sources to improve corporate transformation. Companies are adopting innovative systems in modern operations. This is altering their data and the way they use it. 

Q1 What is meant by cloud integration?

A combination of security techniques aimed to secure cloud-based infrastructure, applications, and data is known as cloud security, also known as cloud computing security. These safeguards provide user and device authentication, information and resource access management, and data confidentiality. They also aid in the adherence to regulatory data. Cloud security is used to safeguard a company's data against distributed denial of service (DDoS) attacks, viruses, hackers, and unauthorized user access or usage in cloud settings. 

Q2 Why is there a need for cloud security?

Computational intelligence (CI) is a field of study within artificial intelligence (AI) that seeks to develop models and algorithms inspired by nature to solve complex problems. This involves utilizing learning algorithms to develop models that are capable of addressing uncertainty and imprecision in data.  There are three main categories of CI algorithms, including Evolutionary Computation (EC), Neural Networks (NN), and Fuzzy Systems (FS). EC utilizes principles of genetics to evolve solutions to problems. NN models are based on biological neurons and are commonly used for pattern recognition, classification, and prediction problems. FS models are used to solve problems that involve uncertainty and imprecision in data, and they use fuzzy logic to represent and process this information. 

Q3 What is computational intelligence?

CI has many applications in various fields, including robotics, image and signal processing, control systems, and optimization problems. It is especially useful for solving complex problems that traditional approaches may not be able to address due to large numbers of variables or complex interactions between variables. 

Q4 What are the applications of computational intelligence (CI)?

Yes, cloud security is in high demand as more and more organizations are adopting cloud computing for their business operations. As organizations increasingly rely on cloud computing services to store and process sensitive information, the need for robust and reliable cloud security measures becomes critical to prevent data breaches and cyber-attacks.

Q5 Is cloud security in demand? 

Enterprise architects are responsible for the overall architecture of the IT environment, whereas solution architects are responsible for discovering and implementing solutions to specific business challenges. Solution architects are also in charge of overseeing all actions that lead to the effective installation of a new application. 

Q6 Are Google Cloud Solutions Architect and Google Cloud Enterprise Architect the same?

Yes, this computational intelligence course includes 1-to-1 and discussion space support from technical experts.  So, if you ever get stuck with a topic or struggle with a module, you will have assistance on hand from our team of highly experienced mentors. 

Q7 Will I get help if I get stuck while I am taking this course? 

Yes, this course is ideal for professionals looking to continue their journey towards gaining GCP security certification. It provides excellent training in advanced aspects of Google Cloud and will enable you to progress towards becoming a Google Cloud architect.