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Oracle Cloud Infrastructure
- Module 1: Course Introduction
- Module 2: OCI Introduction
- Module 3: Oracle Cloud Free Tier Account
- Module 4: Identity and Access Management
- Module 5: Networking
- Module 6: Compute
- Module 7: Storage
- Module 8: Database
- Module 9: Security
- Module 10: App Dev
- Module 11: Observability and Management
- Module 12: Analytics and AI
- Module 13: Hybrid
- Module 14: Governance and Administration
- Module 15: SLA and Support
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Red Hat Enterprise Linux 8 New Features for Experienced Linux Administrators
- Course description
- Course content summary
- Audience for this course
- Prerequisites for this course
- 1. Preview Red Hat Enterprise Linux 8
- 2. Install and upgrade to Red Hat Enterprise Linux 8
- 3. Provision and manage servers
- 4. Adapt to core system changes
- 5. Implement storage using new features
- 6. Manage containers with the new runtime
- 7. Implement enhanced networking features
- 8. Adapt to virtualization improvements
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Introduction to VM Ware
- Course Objectives:
- Audience:
- Prerequisites:
- Chapter 1: Virtualization Infrastructure Overview
- Chapter 2: How to Install, Configure ESXi 5.5 Installable
- Chapter 3: Virtual and Physical Networking
- Chapter 4: NAS Shared Storage
- Chapter 5: Virtual Hardware and Virtual Machines
- Chapter 6: vCenter Server and the Next Generation Web Clien
- Chapter 7: VM Rapid Deployment using Templates, Clones
- Chapter 8: ESXi and vCenter Permission Model
- Chapter 9: Using Fiber and iSCSI Shared Storage
- Chapter 10: VMware File System (VMFS)
- Chapter 11: Resource Management and Resource Pools
- Chapter 12: ESX and vCenter Alarms
- Chapter 13: Host Profiles
- Chapter 14: Consolidation with vCenter Converter Standalone
- Chapter 15: Back Up, Recovery with VMware Data Recovery
- Chapter 16: VM Hot and Cold Migration, Storage VMotion
- Chapter 17: Load Balancing w. Distributed Resource Scheduler
- Chapter 18: Failure Recovery with High Availability Clusters
- Chapter 19: Patch Management with VMware Update Manager
- Chapter 20: VMware Replication
- Chapter 21: Managing Scalability and Performance
- Chapter 22: Final Thoughts
- Hands On Labs
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Introduction to Cloud Infrastructure Technologies (LFS151x)
- Audience for this course
- Chapter 1. Virtualization
- Chapter 2. Infrastructure as a Service (IaaS)
- Chapter 3. Platform as a Service (PaaS)
- Chapter 4. Containers
- Chapter 5. Containers: Micro OSes for Containers
- Chapter 6. Containers: Container Orchestration
- Chapter 7. Unikernels
- Chapter 8. Microservices
- Chapter 9. Software-Defined Networking and Networking for Containers
- Chapter 10. Software-Defined Storage and Storage Management for Containers
- Chapter 11. DevOps and CI/CD
- Chapter 12. Tools for Cloud Infrastructure I (Configuration Management)
- Chapter 13. Tools for Cloud Infrastructure II (Build & Release)
- Chapter 14. Tools for Cloud Infrastructure III (Key-Value Pair Store)
- Chapter 15. Tools for Cloud Infrastructure IV (Image Building)
- Chapter 16. Tools for Cloud Infrastructure V (Debugging, Logging, and Monitoring for Containerized Applications)
- Chapter 17. Service Mesh
- Chapter 18. Internet of Things (IoT)
- Chapter 19. Serverless Computing
- Chapter 20. Open Tracing
- Chapter 21. How To Be Successful in the Cloud
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IBM DEVELOPER-Introduction to Cloud
This course introduces you to the core concepts of cloud computing. You will gain the foundational knowledge required for understanding cloud computing from both business and practitioner perspectives.
- ABOUT THIS CLOUD COURSE
- LEARNING OBJECTIVES
- Module 1: Overview of Cloud Computing
- Module 2: Cloud Adoption and Emerging Technologies
- Module 3: Cloud Computing Service and Deployment Models
- Module 4: Components of Cloud Computing
- Module 5: Cloud Storage
- Module 6: Cloud Native and Emergent Cloud Trends
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Course DP-080T00: Querying Data with Microsoft Transact-SQL
This course will teach the basics of Microsoft's dialect of the standard SQL language: Transact-SQL. Topics include both querying and modifying data in relational databases that are hosted in Microsoft SQL Server-based database systems, including: Microsoft SQL Server, Azure SQL Database and, Azure Synapse Analytics.
- Audience Profile
- Job role
- Module 1: Getting Started with Transact-SQL
- Introduction to Transact-SQL
- Using the SELECT statement
- Lab
- Module 2: Sorting and Filtering Query Results
- Sorting query results
- Filtering the data
- Lab
- Module 3: Using Joins and Subqueries
- Using JOIN operations
- Using subqueries
- Lab
- Lab
- Module 4: Using Built-in Functions
- Getting started with scalar functions
- Grouping aggregated results
- Lab
- Module 5: Modifying Data
- Inserting data into tables
- Modifying and deleting data
- Lab
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Course AZ-900T00-A: Microsoft Azure Fundamentals (2 Day)
This two-day course will provide foundational level knowledge on core Azure concepts; core Azure services; core solutions and management tools; general security and network security; governance, privacy, and compliance features; Azure cost management and service level agreements. Note: This course provides an Azure pass and time for students to participate in hands-on labs. If you do not need hands-on experience, consider the AZ-900T01: Microsoft Azure Fundamentals (1 day) course. The content for both courses align to the AZ-900 exam objective domain.
- Audience profile
- Job role
- Preparation for exam
- Prerequisites
- Module 1: Describe core Azure concepts
- Introduction to Azure fundamentals
- Discuss Azure fundamental concepts
- Describe core Azure architectural components
- Advantages of this module
- Module 2: Describe core Azure services
- Explore Azure database and analytics services
- Explore Azure compute services
- Explore Azure Storage services
- Explore Azure networking services
- Advantages of this module
- Module 3: Describe core solutions and management tools on Azure
- Choose the best AI service for your needs
- Choose the best tools to help organizations build better solutions
- Choose the best monitoring service for visibility, insight, and outage mitigation
- Choose the best tools for managing and configuring your Azure environment
- Choose the best Azure serverless technology for your business scenario
- Choose the best Azure IoT service for your application
- Advantages of this module
- Module 4: Describe general security and network security features
- Protect against security threats on Azure
- Secure network connectivity on Azure
- Advantages of this module
- Module 5: Describe identity, governance, privacy, and compliance features
- Secure access to your applications by using Azure identity services
- Build a cloud governance strategy on Azure
- Examine privacy, compliance, and data protection standards on Azure
- Advantage of this module
- Module 6: Describe Azure cost management and service level agreements
- Plan and manage your Azure costs
- Choose the right Azure services by examining SLAs and service lifecycle
- Advantages of this module
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Course AI-900T00-A: Microsoft Azure AI Fundamentals
This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. The hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in the class and to explore topics in more depth.
- Audience profile
- Job role
- Preparation for exam
- Prerequisites
- Module 1: Introduction to AI
- Artificial Intelligence in Azure
- Responsible AI
- Advantages after completing
- Module 2: Machine Learning
- Introduction to Machine Learning
- Azure Machine Learning
- Advantages after completing
- Module 3: Computer Vision
- Computer Vision Concepts
- Computer Vision in Azure
- Advantages after completing
- Module 4: Natural Language Processing
- Advantages after completing
- Module 5: Conversational AI
- Conversational AI Concepts
- Conversational AI in Azure
- Advantages of completing
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Course SC-900T00: Microsoft Security, Compliance, and Identity Fundamentals
This course provides foundational level knowledge on security, compliance, and identity concepts and related cloud-based Microsoft solutions.
- Audience Profile
- Job role
- Preparation for exam
- Prerequisites
- Module 1: Describe basic concepts of security, compliance, and identity.
- Describe security and compliance concepts and methodologies
- Describe identity concepts
- Advantages of completion
- Module 2: Describe the concepts and capabilities of Microsoft identity and access management solutions
- Describe the basic services and identity types of Azure AD
- Describe the authentication capabilities of Azure AD
- Describe the access management capabilities of Azure AD
- Describe the identity protection and governance capabilities of Azure AD
- Lab
- Lab
- Lab
- Lab
- Advantages of completion
- Module 3: Describe the capabilities of Microsoft security solutions
- Describe the basic security capabilities in Azure
- Describe the security management capabilities of Azure
- Describe the security capabilities of Azure Sentinel
- Describe the threat protection capabilities of Microsoft 365
- Describe the security management capabilities of Microsoft 365
- Describe endpoint security with Microsoft Intune
- Lab
- Lab
- Lab
- Lab
- Lab
- Lab
- Advantages of completion
- Module 4: Describe the capabilities of Microsoft compliance solutions
- Describe the compliance management capabilities in Microsoft
- Describe the information protection and governance capabilities of Microsoft 365
- Describe the insider risk capabilities in Microsoft 365
- Describe the eDiscovery and audit capabilities of Microsoft 365
- Describe the resource governance capabilities in Azure
- Lab
- Lab
- Lab
- Lab
- Lab
- Lab
- Advantages of completion
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Course DP-900T00-A: Microsoft Azure Data Fundamentals
In this course, students will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will identify and describe core data concepts such as relational, non-relational, big data, and analytics, and explore how this technology is implemented with Microsoft Azure. They will explore the roles, tasks, and responsibilities in the world of data. The students will explore relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Microsoft Azure. They will explore non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure. Students will explore the processing options available for building data analytics solutions in Azure. They will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. Students will learn what Power BI is, including its building blocks and how they work together.
- Audience profile
- Job role
- Preparation for exam
- Prerequisites
- Specifically
- Module 1: Explore core data concepts
- Explore core data concepts
- Explore roles and responsiblities in the world of data
- Describe concepts of relational data
- Explore concepts of non-relational data
- Explore concepts of data analytics
- Advantages of completion
- Module 2: Explore relational data in Azure
- Explore relational data services in Azure
- Explore provisioning and deploying relational database services in Azure
- Query relational data in Azure
- Advantages of completion
- Module 3: Explore non-relational data in Azure
- Explore non-relational data services in Azure
- Explore provisioning and deploying non-relational data services on Azure
- Manage non-relational data stores in Azure
- Advantages of completion
- Module 4: Explore modern data warehouse analytics in Azure
- Examine components of a modern data warehouse
- Explore data ingestion in Azure
- Explore data storage and processing in Azure
- Get started building with Power BI
- Advantages of completion
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Course AZ-900T01-A: Microsoft Azure Fundamentals (1 Day)
- Audience profile
- Job role
- Preparation for exam
- Prerequisites
- Module 1: Describe core Azure concepts
- Introduction to Azure fundamentals
- Discuss Azure fundamental concepts
- Describe core Azure architectural components
- Advantages of completion
- Module 2: Describe core Azure services
- Explore Azure database and analytics services
- Explore Azure compute services
- Explore Azure Storage services
- Explore Azure networking services
- Advantages of completion
- Module 3: Describe core solutions and management tools on Azure
- Choose the best AI service for your needs
- Choose the best tools to help organizations build better solutions
- Choose the best monitoring service for visibility, insight, and outage mitigation
- Choose the best tools for managing and configuring your Azure environment
- Choose the best Azure serverless technology for your business scenario
- Choose the best Azure IoT service for your application
- Advantages of completion
- Module 4: Describe general security and network security features
- Protect against security threats on Azure
- Secure network connectivity on Azure
- Advantages of Completion
- Module 5: Describe identity, governance, privacy, and compliance features
- Secure access to your applications by using Azure identity services
- Build a cloud governance strategy on Azure
- Examine privacy, compliance, and data protection standards on Azure
- Advantages of completion
- Module 6: Describe Azure cost management and service level agreements
- Plan and manage your Azure costs
- Choose the right Azure services by examining SLAs and service lifecycle
- Advantages of Completion
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Google Professional Cloud Architect
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AWS Solutions Architect Associate
- Duration
- Course Objectives
- Prerequisites
- Delivery Method
- AWS Overview
- EC2
- VPC
- S3, Glacier and Other Storage Types
- Databases
- IAM
- Route 53
- Application Services
- Management Tools, Serverless Computing and Containers
- Monitoring and Auditing
- Security and Disaster Recovery
- DevOps
- Streaming and Analytics Services
- Trouble shooting and Best Practices
- Assessment Test (30 min.)
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Architecting on AWS
- Course description
- Course Level
- Duration
- Activities
- Course objectives
- Intended audience
- Prerequisites
- Lab Details
- Module 1: Introduction
- Module 2: The simplest architectures
- Module 3: Adding a compute layer
- Module 4: Adding a database layer
- Module 5: Networking in AWS – Part 1
- Module 6: Networking in AWS – Part 2
- Module 7: AWS Identity and Access Management (IAM)
- Module 8: Elasticity, high availability, and monitoring
- Module 9: Automation
- Module 10: Caching
- Module 11: Building decoupled architectures
- Module 12: Microservices and serverless architectures
Audience profile
This course is suitable for IT personnel who are just beginning to work with Azure. This audience wants to learn about our offerings and get hands-on experience with the product. This course primarily uses the Azure portal to create services and does not require scripting skills. Students in this course will gain confidence to take other role-based courses and certifications, such as Azure Administrator. This course provides an Azure pass and optional lab environment. This course combines lecture, demonstrations, and hands-on labs. This course will also help prepare someone for the AZ-900 exam.