DevOps & Cloud Computing Bootcamp

1. Review of traditional systems architecture
2. Private, public and hybrid cloud
3. Service models
4. Introduction to Azure, AWS and Google Cloud
5. Basic concepts of each provider
6. Products and documentation
7. Key differentiators
8. Costs and invoicing systems

The aim of this module is to give students the basic knowledge they need regarding cloud computing and learn how to express their value proposition.

1. Cmdlets and modules
2. Registry and WMI
3. Object orientation
4. Metrics
5. Filters
6. Format
7. GridView
8. Scripting in PowerShell
9. ISE and Visual Code
10. Variables
11. Conditional structures
12. While and For loops
13. Foreach and Foreach-Object loops
14. Passing values and functions

The aim of this module is to provide students with analytical thinking for situations where any process can be automated, saving resources and time through tools such as PowerShell. This content is essential for effective cloud administration and DevOps implementation.

1. Introduction to the IaaS Model in Azure
2. Virtual machines
3. Sizes and types of instances
4. Extensions
5. Settings
6. Virtual machine scale set
7. Image gallery
8. Introduction to Azure Storage Services
9. Storage account types
10. Storage types
11. Replication
12. Security
13. Introduction to Azure Network Services
14. TCP/IP addressing
15. Network components
16. Virtual networks
17. Network security groups
18. ExpressRoute and intersite and connections
19. Load balancers
20. Introduction to Azure Web Services
21. Web components
22. Multimedia content and CDN
23. SPA in storage accounts
24. Azure functions
25. API management
26. Introduction to Azure Database Services
27. SQL services
28. NoSQL services
29. Data Lake and ETL systems
30. Training for the AZ-104 exam

This module aims to provide students with a bedrock of knowledge for contracting and administering cloud resources. It is aimed towards obtaining Microsoft Azure Cloud Administrator AZ-104 certification.

1. Introduction to architecture | Serverless design patterns and architectures
2. Site resilience | Azure Backup, Azure Site Recovery & Azure Automation
3. Authentication in Azure | IAM (Identity Access Management) Active Directory in IaaS | Azure AD, ADDS, Azure Active Directory Domain Services
4. Media, Communication and AI | DNS, CDN, Artificial Intelligence, IoT, preparation for the AZ-305 exam

This module aims to provide students with a bedrock of knowledge in cloud design and architecture. Creating resilient, scalable, and efficient solutions. It is aimed towards obtaining Microsoft Azure Cloud Architect AZ-305 certification.

1. Introduction to cloud architecture
2. Adding a storage layer
3. Adding a compute layer
4. Adding a database layer
5. Creating a network environment
6. Network connections
7. Securing user and application access
8. Implementing elasticity, high availability, and monitoring
9. Architecture automation
10. Content caching
11. Creating decoupled architectures
12. Building microservices and serverless architectures
13. Planning for disaster
14. Training for the AWS - Associate Architect exam

This module delivers the skills and knowledge required to design secure and robust solutions using AWS technologies.

1. Introduction to Google Cloud Platform (GCP)
2. Configuring a cloud solution environment
3. Storage resources
4. Processing resources
5. Exploring and implementing cloud solutions
6. Google Kubernetes Engine
7. Monitoring tools, logs and metrics
8. Database products
9. Training for the GCP - Cloud Engineer exam

The aim of this module is for students to acquire advanced knowledge of solution orchestration, creation of infrastructure as code, and delivery.

1. Introduction to DevOps.
2. DevOps platforms (Azure DevOps and GitHub)
3. Azure DevOps (Board | Repositories | CI Pipelines | CD Pipelines | Service connections)
4. Git (Docker | Containerization)
5. IaC (ARM, Terraform)
6. Container orchestration (Docker-Compose | Kubernetes)
7. Types of deployments (A/B Testing | Canary Testing | Blue Green deployments)
8. Quality & automation (Pull requests | Validations and policies | Shift-left testing)

The aim of this module is for students to acquire transversal knowledge, from basic to advanced level, of containerization and automated delivery of solutions.

1. Definición de idea con el tutor asignado.
2. Selección de objetivos del trabajo.
3. Plantear metodología y herramientas.
4. Presentación ante tribunal de expertos y compañeros.