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TechMaster - Google Cloud Computational Intelligence, and Cloud Security
Enrollment is Closed
Course
TechMaster - Google Cloud Computational Intelligence, and Cloud Security
Build expert-level skills in continuous intelligence, load optimization, and cloud security on Google Cloud Platform.
Flexible + Live Classes
Advanced Level
Mentor Support
This course is part of a program:
It is not possible to enroll for individual courses on this program. If you wish to take this course, please enroll for the full program.
With the global cloud computing market expected 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
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.
The course includes instructor-led sessions which run to a fixed schedule, with set start and finish dates. You will, however, have time to complete certain activities at your own pace outside of the live sessions too.
The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include reading material, hands-on labs and online exams questions.
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.
After completing this course, you will:
- Have a comprehensive understanding of cloud monitoring and log-based metrics, as well as the ability to manage virtual machines effectively.
- Have expertise in data analysis with BigQuery, SQL, and Data Studio for effective decision-making.
- Be proficienct in project planning, deployment, and scaling with Kubernetes for managing cloud workloads.
- Understand cost-optimization and know how to implement strategies to manage cloud costs effectively.
- Have knowledge of managing and validating cloud policies to ensure compliance and security in a cloud environment.
This program is ideal for:
- System administrators.
- Cloud professionals.
- Solution architects.
- Infrastructure architects.
- Professionals looking to enhance and evidence their skills with cloud architecture certifications.
- Individuals wishing to build their understanding of Google Cloud Platform (GCP).
- Professionals preparing for the Professional Cloud Architect certification exam from Google Cloud.
- Individuals seeking to build their understanding of public cloud, private cloud, and hybrid cloud deployment.
- Techies wishing to build their understanding the of services offered on GCP.
- GCP customers seeking to build their understanding of the services offered.
Required: Bachelor's degree: Computer or technical degrees such as B Tech, BCA, MCA, etc.
Additionally, you will also need either:
- A basic understanding of cloud computing, and
- Experience with data analysis, and
- Familiarity with security principles and networking fundamentals
OR
To have completed the Google Cloud Infrastructure Managment course with SkillUp Online.
Course Outline
Course Overview
Your Course Planner
Grading and Certification
Hands-On Labs: Setup and Requirements
Module Overview: Continuous Delivery and Load Testing with Kubernetes
Module Planner
Continuous Delivery with Jenkins in Kubernetes Engine
Continuous Delivery Pipelines with Spinnaker and Kubernetes Engine
Distributed Load Testing Using Kubernetes
Managing a GKE Multi-Tenant Cluster with Namespaces
Identifying and Resolving Application Latency for Site Reliability Engineers
Module Summary: Continuous Delivery and Load Testing with Kubernetes
Graded Quiz (5 Questions)
Module Overview: Workload Optimization and Autoscaling
Module Planner
Hosting a Web App on Google Cloud Using Compute Engine
Understanding and Combining GKE Autoscaling Strategies
GKE Workload Optimization
Troubleshooting Workloads on GKE for Site Reliability Engineers
Using Cloud Error Reporting to Remediate Workload Issues on GKE
Deploy an Auto-Scaling HPC Cluster with Slurm
Autoscaling an Instance Group with Custom Cloud Monitoring Metrics
Module Summary: Workload Optimization and Autoscaling
Graded Quiz (5 Questions)
Module Overview: Infrastructure provisioning and management with Terraform
Module Planner
Infrastructure as Code with Terraform
Interact with Terraform Modules
Managing Terraform State
Module Summary: Infrastructure Provisioning and Management with Terraform
Module 3 : Graded Quiz
Module Overview: Cloud Security and Reporting
Module Planner
Managing Threat Intelligence with Cortex XSOAR
Securing Web Applications with Web Security Scanner
Reporting Application Metrics into Cloud Monitoring
Module Summary: Cloud Security and Reporting
Module 4 : Graded Quiz
Final Quiz
Earn your certificate
Once you have completed this course, you will earn your certificate.
Why Learn with SkillUp Online?
We believe every learner is an individual and every course is an opportunity to build job-ready skills. Through our human-centered approach to learning, we will empower you to fulfil your professional and personal goals and enjoy career success.
Reskilling into tech? We’ll support you.
Upskilling for promotion? We’ll help you.
Cross-skilling for your career? We’ll guide you.
Personalized Mentoring & Support
1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.
Practical Experience
Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.
Best-in-Class Course Content
Designed by the industry for the industry so you can build job-ready skills.
Job-Ready Skills Focus
Competency building and global certifications employers are actively looking for.
FAQs
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.
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.
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.
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.
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.
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.
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.
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.
Type of certificate
Certificate of Completion
About this course
07 Modules
07 Skills
Includes
Discussion space
25 Hands-on labs
05 Quizzes
01 Final exam
Create
Creating a VM
Develop customized monitoring strategies using Cloud Monitoring
Configure and manage virtual machines
Plan, deploy, and scale applications using Kubernetes
Exercises to explore
Cloud Monitoring
Project planning, deployment & scaling with Kubernetes
Managing cloud policies
This program has been created by these experts
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