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GCA + GCP ( Combined)
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4.3 ( 2451 Ratings )
Google Cloud Associate (GCA): This certification is designed for individuals who are new to Google Cloud and want to establish a foundational understanding of its core services and capabilities.
Google Cloud Professional (GCP): This refers to one of the more advanced Google Cloud certifications, such as the Professional Cloud Architect (PCA), Professional Data Engineer (PDE), or other specialized professional-level certifications.
Overview
The Syllabus
Curriculum Designed by Experts
Associate Cloud Engineer & GCP
- Setting up a Google Cloud Environment:
- Creating and managing projects and billing accounts.
- Enabling and disabling services.
- Managing access control using IAM (Identity and Access Management).
- GCP Computing:
- Understanding Google Compute Engine (GCE) and deploying virtual machines.
- Autoscaling and load balancing.
- Working with containers and Kubernetes Engine.
- GCP Storage Services:
- Understanding and using Google Cloud Storage.
- Deploying and managing Cloud SQL and Cloud Spanner databases.
- Working with Cloud Firestore and Firebase Realtime Database.
- GCP Networking:
- Setting up Virtual Private Cloud (VPC) networks.
- Configuring firewall rules.
- Implementing VPNs and Interconnect.
- GCP Identity and Access Management:
- Managing IAM roles and permissions.
- Securing service accounts.
- Configuring resource-level permissions.
- GCP Deployment and Monitoring:
- Deploying applications using Cloud Deployment Manager and Google Kubernetes Engine.
- Configuring monitoring and logging with Stackdriver (now called Google Cloud Operations).
- GCP Services:
- Understanding various GCP services like Cloud Pub/Sub, Cloud Functions, and Cloud Run.
- Integrating services to build scalable and reliable applications.
- GCP Security:
- Securing GCP resources using IAM, Cloud Identity-Aware Proxy (IAP), and other security features.
- Managing encryption and key management.
- GCP Pricing and Cost Management:
- Understanding GCP pricing models.
- Managing and optimizing GCP costs.
- Setting up billing alerts and budgets.
- Troubleshooting and Diagnostics:
- Identifying and resolving common issues.
- Using monitoring and logging tools to diagnose problems
1. Designing and planning a cloud solution architecture
1.1 Designing a solution infrastructure that meets business requirements
- Business use cases and product strategy
- Cost optimization
- Supporting the application design
- Integration with external systems
- Movement of data
- Design decision trade-offs
- Build, buy, modify, or deprecate
- Success measurements (e.g., key performance indicators [KPI], return on investment [ROI], metrics)
- Compliance and observability
1.2 Designing a solution infrastructure that meets technical requirements
- High availability and failover design
- Elasticity of cloud resources with respect to quotas and limits
- Scalability to meet growth requirements
- Performance and latency
1.3 Designing network, storage, and compute resources
- Integration with on-premises/multi-cloud environments
- Cloud-native networking (VPC, peering, firewalls, container networking)
- Choosing data processing technologies
- Choosing appropriate storage types (e.g., object, file, databases)
- Choosing compute resources (e.g., preemptible, custom machine type, specialized workload)
- Mapping compute needs to platform products
1.4 Creating a migration plan (i.e., documents and architectural diagrams)
- Integrating solutions with existing systems
- Migrating systems and data to support the solution
- Software license mapping
- Network planning
- Testing and proofs of concept
- Dependency management planning
1.5 Envisioning future solution improvements
- Cloud and technology improvements
- Evolution of business needs
- Evangelism and advocacy
2. Managing and provisioning a solution infrastructure
2.1 Configuring network topologies
- Extending to on-premises environments (hybrid networking)
- Extending to a multi-cloud environment that may include Google Cloud to Google Cloud communication
- Security protection (e.g. intrusion protection, access control, firewalls)
2.2 Configuring individual storage systems
- Data storage allocation
- Data processing/compute provisioning
- Security and access management
- Network configuration for data transfer and latency
- Data retention and data life cycle management
- Data growth planning
2.3 Configuring compute systems
- Compute resource provisioning
- Compute volatility configuration (preemptible vs. standard)
- Network configuration for compute resources (Google Compute Engine, Google Kubernetes Engine, server less networking)
- Infrastructure orchestration, resource configuration, and patch management
- Container orchestration
3. Designing for security and compliance
3.1 Designing for security
- Identity and access management (IAM)
- Resource hierarchy (organizations, folders, projects)
- Data security (key management, encryption, secret management)
- Separation of duties (SoD)
- Security controls (e.g., auditing, VPC Service Controls, context aware access, organization policy)
- Managing customer-managed encryption keys with Cloud Key Management Service
- Remote access
3.2 Designing for compliance
- Legislation (e.g., health record privacy, children’s privacy, data privacy, and ownership)
- Commercial (e.g., sensitive data such as credit card information handling, personally identifiable information [PII])
- Industry certifications (e.g., SOC 2)
- Audits (including logs)
4. Analyzing and optimizing technical and business processes
4.1 Analyzing and defining technical processes
- Software development life cycle (SDLC)
- Continuous integration / continuous deployment
- Troubleshooting / root cause analysis best practices
- Testing and validation of software and infrastructure
- Service catalog and provisioning
- Business continuity and disaster recovery
4.2 Analyzing and defining business processes
- Stakeholder management (e.g. influencing and facilitation)
- Change management
- Team assessment / skills readiness
- Decision-making processes
- Customer success management
- Cost optimization / resource optimization (capex / opex)
4.3 Developing procedures to ensure reliability of solutions in production (e.g., chaos engineering, penetration testing)
5. Managing implementation
5.1 Advising development/operation team(s) to ensure successful deployment of the solution
- Application development
- API best practices
- Testing frameworks (load/unit/integration)
- Data and system migration and management tooling
5.2 Interacting with Google Cloud programmatically
- Google Cloud Shell
- Google Cloud SDK (gcloud, gsutil and bq)
- Cloud Emulators (e.g. Cloud Bigtable, Datastore, Spanner, Pub/Sub, Firestore)
6. Ensuring solution and operations reliability
6.1 Monitoring/logging/profiling/alerting solution
6.2 Deployment and release management
6.3 Assisting with the support of deployed solutions
6.4 Evaluating quality control measures
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Skills Covered
Why Enroll for Red Hat Linux
Covers each topics with Real Time Examples . Covers More than 250+ Real Time Scenarios which is divided into L1 ( Basic ) + L2 ( Intermediate) and L3 ( Advanced ) . Trainer from Real Time Industry .This is completely hands-on training , which covers 90% Practical And 10% Theory
We give Combo Pack of RHEL 6 with RHEL 7 , to make sure all the candidate will get at least 5+ Year experience knowledge in Redhat Linux after attending this course.Covers SA1 + SA2 + SA3 topics in Details from the very basic to advanced level .
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Course benefits
Who Can Apply for Red Hat Linux
- Information Architects and Statisticians
- Developers looking to master Machine Learning and Predictive Analytics
- Big Data, Business Analysis, Business Intelligence, and Software Engineering Professionals
- Aspirants who are looking to work as Machine Learning Experts, Data Scientists, etc.
- Anyone who wants to learn machine learning, artificial intelligence, data visualization, data analytics, data structures, and algorithms (DSA).
Why Red Hat Linux
Industry Recognition
Red Hat certifications are widely recognized in the IT industry. Holding a Red Hat certification demonstrates to employers that you have the skills and knowledge needed to effectively work with Red Hat Linux systems.
High Demand for Linux Skills
Linux is a dominant operating system in the server market, particularly in enterprise environments. Many organizations, including tech giants, financial institutions, and government agencies, rely on Linux for their infrastructure. As a result, there is a high demand for professionals with Linux skills, including Red Hat Linux expertise.
Specialized Knowledge
Red Hat Linux is a popular distribution used in enterprise environments due to its stability, security, and support offerings. By gaining expertise in Red Hat Linux through a certification course, you position yourself as a specialist in this specific distribution, which can make you more attractive to employers who use or plan to use Red Hat Linux.
Job Opportunities
Holding a Red Hat certification opens up various job opportunities in roles such as Linux system administrator, DevOps engineer, cloud engineer, network engineer, and more. Many job postings in these fields specifically mention Red Hat certifications as desired or required qualifications.
Salary Potential
Professionals with Red Hat certifications often command higher salaries compared to their non-certified counterparts. Employers value certified individuals for their proven skills and expertise, leading to potentially higher earning potential.
Career Advancement
Red Hat certifications can help you advance your career by providing a clear path for skill development and progression. As you gain more advanced certifications, you become eligible for more senior roles and responsibilities within organizations.
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Radical Technologies is the leading IT certification institute in Bangalore, offering a wide range of globally recognized certifications across various domains. With expert trainers and comprehensive course materials, it ensures that students gain in-depth knowledge and hands-on experience to excel in their careers. The institute’s certification programs are tailored to meet industry standards, helping professionals enhance their skillsets and boost their career prospects. From cloud technologies to data science, Radical Technologies covers it all, empowering individuals to stay ahead in the ever-evolving tech landscape. Achieve your professional goals with certifications that matter.
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Red Hat Linux Course Projects
Infrastructure Provisioning
And Configuration Management
Implementing automated infrastructure provisioning and configuration management using Ansible. This may include setting up servers, networking devices, and other infrastructure components using playbooks and roles.
Applications Deployment
And Orchestration
Automating the deployment and orchestration of applications across development, testing, and production environments. This could involve deploying web servers, databases. middleware, and other application components using Ansible
Continuous Integration
And Continuous Deployment
Integrating Ansible into CI/CD pipelines to automate software. build, test, and deployment processes. This may include automating the creation of build artifacts, running tests, and deploying applications to various environments.