Become an expert in cybersecurity and management of Cloud Infrastructures with a 100% online mode and total time freedom”

With the emergence of new technologies, the Internet and the incalculable advances that have been taking place, many companies had to renew themselves, going through processes of change in which digitization and transformation at all levels were vital. But now, the time has come for the adoption of Cloud Infrastructures, which is considered a key piece in the evolution of the European Union, which is expected to drive a growth of more than 14% of GDP in the coming years. 

Cloud Infrastructures guarantee much greater agility, efficiency and cost reduction than conventional physical structures. They allow DevOps teams to implement the infrastructure programmatically, as part of the code of an application, and represent a breakthrough in terms of security, quality control and disaster recovery. In short, they are the best way to balance the needs of today with the opportunities of tomorrow. As a result, the demand for professional experts in implementation and management of Cloud Infrastructures continues to increase, making this area one of the areas with the greatest potential in the labor market. 

This is the reason why TECH has created a Professional master’s degree in Cloud Infrastructures, so that those students who seek to assume a professional future in this sector, enhance their skills and deepen their knowledge. In this way, they will develop the ability to perform their work with the highest possible quality and efficiency, and this through a syllabus that addresses subjects such as implementation models of Cloud Computing, digital transformation, cloud computing resources, storage, Networking, monitoring services or cybersecurity in Cloud Infrastructures, among many other relevant aspects.

Students will be able to combine this program with their professional and personal life, thanks to a 100% online study mode, without any time constraints. In addition, students will be able to access all the main content and a wide variety of additional material from any electronic device with an internet connection. This, together with the most complete multimedia content, up-to-date information and the most innovative tools possible, is a unique opportunity in the educational market.

Quickly stand out in a booming industry and achieve your most demanding IT goals”

This Professional master’s degree in Cloud Infrastructures contains the most complete and up-to-date program on the market. The most important features include:

• The development of practical cases presented by experts in Cloud Infrastructures for
• The graphic, schematic, and practical contents with which they are created, provide practical information on the disciplines that are essential for professional practice
• Practical exercises where self-assessment can be used to improve learning
• Its special emphasis on innovative methodologies 
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• Content that is accessible from any fixed or portable electronic device with an Internet connection

Put your acquired skills into practice with a variety of activities and case studies supervised by leading Cloud and cybersecurity experts”

The program’s teaching staff includes professionals from sector who contribute their work experience to this educational program, as well as renowned specialists from leading societies and prestigious universities.

Its multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide an immersive education programmed to learn in real situations.

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise throughout the program. This will be done with the help of an innovative system of interactive videos made by renowned experts.

Delve into vulnerability analysis in Cloud environments and multiply your chances of sucess in the workplace"

Thanks to TECH you will gain new skills in Virtual Desktop Infrastructure and continuous improvement in Cloud Infrastructures"

The structure and content of this Professional master’s degree in Cloud Infrastructures have been designed by renowned professionals, who are part of the TECH’s team of experts in the field. All the syllabus and materials have been created following the most rigorous requirements of the most efficient teaching methodology in the educational market, the Relearning, which guarantees the best possible assimilation of the contents in a natural, dynamic way and without the need to devote excessive hours of study.

Access all the material and a wide variety of additional information on IT infrastructure transformation, databases, VDI or any other aspect of the syllabus that may interest you”

Module 1. Transformation of IT Infrastructures Cloud Computing

1.1. Cloud Computing Cloud Computing Adoption

1.1.1. Computing
1.1.2. Cloud Computing Adoption
1.1.3. Types of Cloud Computing

1.2. Cloud Computing Adoption. Adoption Factors

1.2.1. Adoption Factors of Cloud Infrastructures
1.2.2. Uses and Services
1.2.3. Evolution

1.3. Cloud Computing Infrastructures

1.3.1. Cloud Computing Infrastructures
1.3.2. Types of Infrastructures (IaaS, PaaS and SaaS)
1.3.3. Types of Implementation (Private, Public and Hybrid)
1.3.4. Elements (Hardware, Storage and Network)

1.4. Cloud Computing Infrastructure: Operation

1.4.1. Virtualization
1.4.2. Automation
1.4.3. Management
1.5. Cloud Computing Ecosystem
1.5.1. Observability and Analysis
1.5.4. Procurement.
1.5.5. Orchestration and Management
1.5.6. Cloud Platforms

1.6. Services Management in Cloud Infrastructures

1.6.1. Service Orientation
1.6.2. Standard and Ecosystem
1.6.3. Types of Services

1.7. Cloud Infrastructure Management Automation

1.7.1. Ecosystem
1.7.2. DevOps Culture
1.7.3. Infrastructure as Code (Terraform, Ansible, Github, Jenkins)

1.8. Security in Cloud Infrastructures

1.8.1. Ecosystem
1.8.2. DevSecOps Culture
1.8.3. Data Science

1.9. Preparation of the Cloud Infrastructure Management Environment

1.9.1. Data Science
1.9.2. Preparation of the Environment
1.9.3. First Steps

1.10. Cloud Infrastructures Future and Evolution

1.10.1. Cloud Infrastructures Challenges
1.10.2. Evolution of Cloud Infrastructures
1.10.3. Challenges in Security and Complaince

Module 2. Infrastructure as a Service (IaaS)

2.1. Cloud Computing Abstraction Layers and Their Management

2.1.1. Abstrraction Core Concepts
2.1.2. Services Models
2.1.3. Management of Cloud Services. Benefits

2.2. Construction of Architecture. Core Decisions

2.2.1. HDDC and SDDC. Hypercompetition
2.2.2. Market
2.2.3. Working Model amd Professional Profiles Changes

2.2.3.1. Figure of the Cloud Broker

2.3. Digital Transformation and Cloud Infrastructures

2.3.1. Cloud Work Demo
2.3.2. The Role of the Navigator as Tool
2.3.3. New Device Concept
2.3.4. Advanced Architectures and the Role of the CIO

2.4. Agile Management in Cloud Infrastructures

2.4.1. Life Cycle of New Services and Competitiveness
2.4.2. Development Methodology of Apps and Microservices
2.4.3. Relationship between Development and IT Operations

2.4.3.1. Use of Cloud as Support

2.5. Cloud Computing Resources I. Identity, Storage and Domain Management

2.5.1. Identity and Access Management
2.5.2. Secure Data Storage, Flexible File and Database Storage
2.5.3. Domain Management

2.6. Cloud Computing Resources II. Network, Infrastructure and Monitoring Resources

2.6.1. Private Virtual Network
2.6.2. Cloud Computing Capabilities
2.6.3. Monitoring

2.7. Cloud Computing Resources III. Automation

2.7.1. Serverless Code Execution
2.7.2. Message Queuing
2.7.3. Workflow Services

2.8. Cloud Computing Resources IV. Other Services

2.8.1. Notification Queuing
2.8.2. Streaming Services and Transcoding Technologies
2.8.3. Turnkey Solution to Publish APIs for External and Internal Consumers

2.9. Cloud V Computing Resources. Data-Centric Services

2.9.1. Data Analytics Platforms and Automation of IT Manual Task 
2.9.2. Data Migration
2.9.3. Hybrid Cloud

2.10. LaaS Services Practice Lab

2.10.1. Exercise 1
2.10.2. Exercise 2
2.10.3. Exercise 3

Module 3. Storage and Databases in Cloud Infrastructures

3.1. Cloud Storage Infraestucture

3.1.1. Cloud Storage Fundamentals
3.1.2. Cloud Storage Advantages
3.1.3. Operation

3.2. Types of Cloud Storage

3.2.1. SaaS
3.2.2. IaaS

3.3. Cloud Storage Use Cases

3.3.1. Data Analysis
3.3.2. Backup and Archiving
3.3.3. Software Development

3.4. Cloud Storage Security

3.4.1. Security in the Transport Layer
3.4.2. Storage Security
3.4.3. Storage Encryption

3.5. Cloud Storage Analysis

3.5.1. Profitability
3.5.2. Agility and Scalability
3.5.3. Administration

3.6. Infrastructure of Cloud Database

3.6.1. Fundamentals of Databases
3.6.2. Analysis of Databases
3.6.3. Cloud Database Classification

3.7. Types of Cloud Database Infrastructure

3.7.1. Relational Databases
3.7.2. NoSQL Databases
3.7.3. Data Warehouse. Databases

3.8. Use Cases of Cloud Database Infrastructure

3.8.1. Data Storage
3.8.2. IA and ML Data Analysis
3.8.3. Big Data

3.9. Cloud Database Infrastructure Security

3.9.1. Access Control ACL, IAM, SG
3.9.2. Data Encryption
3.9.3. Audits

3.10. Migration and Backup of Cloud Database Infrastructure

3.10.1. Database Backups
3.10.2. Database Migration
3.10.3. Database Optimization

Module 4. Network DevOps and Network Architectures in Cloud infrastructures

4.1. Network DevOps (NetOps)

4.1.1. Network DevOps (NetOps)
4.1.2. NetOps Methodology
4.1.3. NetOps Benefits

4.2. Fundamentals of  NetOps

4.2.1. Fundamentals of Networking
4.2.2. OSI, TCP/IP, CIDR and Subnetting Model
4.2.3. Main Protocols
4.2.4. HTTP Responses

4.3. Tools and Software for Network DevOps

4.3.1. Network Layer Tools
4.3.2. Application Layer Tools
4.3.3. DNS Tools

4.4. Networking in Cloud Environments: Internal Network Services

4.4.1. Virtual Networks
4.4.2. Subnetworks
4.4.3. Routing Tables
4.4.4. Availability Zones

4.5. Networking in Cloud Environments: Border Network Services

4.5.1. Internet Gateway
4.5.2. NAT Gateway
4.5.3. Load Balancing

4.6. Networking in Cloud Environments: DNS

4.6.1. DNS Fundamentals
4.6.2. DNS Cloud Services
4.6.3. HA/LB through DNS

4.7. Hybrid/Multitenant Network Connectivity 

4.7.1. VPN Site to Site
4.7.2. VPC Peering
4.7.3. Transit Gateway / VPC Peering

4.8. Content Delivery Network Services 

4.8.1. Content Delivery Services
4.8.2. AWS CLoudFront
4.8.3. Other CDNs

4.9. Security in Cloud Networks

4.9.1. Network Security Principles
4.9.2. Protection in Layer 3 and 4
4.9.3. Protection in Layer 7

4.10. Network Monitoring and Audit

4.10.1. Monitoring and Audit
4.10.2. Flow Logs
4.10.3. Monitorng Service: CloudWatch

Module 5. Government in Cloud Infrastructures

5.1. Compliance  in Cloud Environments

5.1.1. Shared Responsibilities Model
5.1.2. Laws, Regulations and Contracts
5.1.3. Audits

5.2. CISO in Cloud Government

5.2.1. Organizational Framework Figures of the CISO in the Organization
5.2.2. Relationship of CISO with the Data Processing Areas
5.2.3. GRC Strategies against Shadow IT

5.3. Cloud Governance Standard

5.3.1. Previous Assessments
5.3.2. Cloud Service Provider Compliance
5.3.3. Personnel Obligations

5.4. Privacy in Cloud Environments

5.4.1. Consumer and User Relationship with Privacy
5.4.2. Privacy in the Americas, Asia-Pacific, the Middle East and Africa
5.4.3. Privacy in the European Context

5.5. Approvals and Regulatory Frameworks in Cloud Environments

5.5.1. American Approvals and Frameworks
5.5.2. Approvals and Frameworks in Asia
5.5.3. Approvals and Frameworks in Europa

5.6. Certifications and Accreditations in Cloud Environments

5.6.1. America and Asia Pacific
5.6.2. Europe, Middle East and Africa
5.6.3. Global

5.7. Laws/Regulations in Cloud Environments

5.7.1. CLOUD Act, HIPAA, and IRS 1075
5.7.2. ITAR, SEC Rule 17a-4(f) and VPAT/Section 508
5.7.3. European Regulation

5.8. Cost Control and Billing in Cloud Governance

5.8.1. Pay-Per-Use Models Costs
5.8.2. CFO Figure and FinOps Profiles
5.8.3. Expense Control

5.9. Cloud Governance Tools

5.9.1. OvalEdge
5.9.2. ManageEngine ADAudit Plus
5.9.3. Erwin Data Governance

5.10. Corporate Governance

5.10.1. Code of Conduct
5.10.2. Complaints Channel
5.10.3. Due Diligence

Module 6. Cybersecurity in Cloud Infrastructures

6.1. Risk in Cloud Environments

6.1.1. Cybersecurity Strategies
6.1.2. Risk-Based Approach
6.1.3. Risk Categorization in Cloud Environments

6.2. Security Frameworks in Cloud Environments

6.2.1. Frameworks and Cybersecurity Standards
6.2.2. Technical Cybersecurity Frameworls
6.2.3. Organization Cybersecurity Frameworls

6.3. Threat Modeling in Cloud Environments

6.3.1. Threat Modeling Process
6.3.2. Threat Modeling Phases
6.3.3. STRIDE

6.4. Cybersecurity Data Science at Code Level

6.4.1. Tool Classification
6.4.2. Integrations
6.4.3. Examples of Use

6.5. Cybersecurity Control Integration in Cloud Environments

6.5.1. Security in Processes
6.5.2. Security Controls in the Different Phases
6.5.3. Examples of Integrations

6.6. ZAP Proxy Tool

6.6.1. ZAP Proxy
6.6.2. Characteristics of ZAP Proxy
6.6.3. Automation of ZAP Proxy

6.7. Automated Vulnerability Analysis in Cloud Environments

6.7.1. Persistent and Automated Vulnerability Analysis
6.7.2. OpenVAS
6.7.3. Vulnerability Analysis in Cloud Environments

6.8. Risk in Cloud Environments

6.8.1. Types of Firewalls
6.8.2. Importance of Firewalls
6.8.3. OnPremise Firewalls and Cloud Firewalls

6.9. Layer Transport Security in Cloud Environments

6.9.1. SSL/TLS and Certificates
6.9.2. SLL Audits
6.9.3. The Automation of Certificates

6.10. SIEM in Cloud Environments

6.10.1. SIEM as a Security Core
6.10.2. Cyberintelligence
6.10.3. Examples of SIEM Systems

Module 7. Services Adoption in Cloud Infrastructures

7.1. Server Settings in the Cloud

7.1.1. Hardware Setting
7.1.2. Software Setting
7.1.3. Network and Security Setting

7.2. Cloud Service Setting 

7.2.1. Assigning Permissions to my Server     
7.2.2. Setting of Security Rules
7.2.3. Cloud Service Deployment

7.3. Administration of a Cloud Server

7.3.1. Storage Unit Management
7.3.2. Network Management
7.3.3. Security Copy Management

7.4. Persistence

7.4.1. Decoupling our Cloud Service
7.4.2. Settings of Persistence Service
7.4.3. Integration of the DB with our Cloud Service

7.5. Autoscaling

7.5.1. Image Generation of our Server
7.5.2. Creation of Marketing Groups
7.5.3. Definition of Automatic Scaling Rules

7.6. Balancing Services

7.6.1. Balancing Services
7.6.2. Generation of a Load Balancer
7.6.3. Connection of the Load Balancer with our Cloud Service

7.7. Content Delivery Services

7.7.1. Content Delivery Services
7.7.2. Content Delivery Service Settings
7.7.3. Integration of the Load CDN with our Cloud Service

7.8. Configuration Parameters and Secrets

7.8.1. Configuration Parameter Management Services
7.8.2. Secret Management Services
7.8.3. Integrating Configuration Services and Secrets with our Cloud Service

7.9. Queue Management Services

7.9.1. Decoupling our Application
7.9.2. Queuing Service Configuration
7.9.3. Integration the Queue with our Cloud Service

7.10. Notification Services

7.10.1. Cloud Notification Services
7.10.2. Notification Service Configuration
7.10.3. Adding Notifications to our Cloud Service

Module 8. Virtual Desktop Infrastructure (VDI)

8.1. Virtual Desktop Infrastructure (VDI)

8.1.1. VDI Operation
8.1.2. Advantages and Disadvantages of VDI
8.1.3. VDI Common Usage Scenarios

8.2. Cloud and Hybrid VDI Architectures

8.2.1. VDI Hybrid Architectures
8.2.2. Cloud VDI Implementation
8.2.3. Cloud VDI Management

8.3. Designing and Planning a VDI Implementation

8.3.1. Selection of Hardware and Software
8.3.2. Network and Storage Infrastructure Design
8.3.3. Deployment and Scaling Planning

8.4. VDI Management

8.4.1. VDI Installation and Configuration
8.4.2. Desktop and Application Image Management
8.4.3. Security and Compliance Management
8.4.4. Availability and Performance Management

8.5. Integration of Applications and Peripherals in the VDI

8.5.1. Enterprise Application Integration
8.5.2. Integration of Peripherals and Devices
8.5.3. VDI Integration with Videoconferencing and Instant Messaging Solutions
8.5.4. VDI Integration with Online Collaboration Platforms

8.6. VDI Optimization and Improvement

8.6.1. Service Quality and Performance Optimization
8.6.2. Improvement of the Efficiency and Scalability
8.6.3. Improvement of Final User Experience

8.7. VDI Lifecycle Management

8.7.1. Hardware and Software Lifecycle Management
8.7.2. Infrastructure Migration and Replacement Management
8.7.3. Support and Maintenance Management

8.8. Security in VDI: Protection of Infrastructure and User Data

8.8.1. VDI Network Security
8.8.2. Protection of Data Stored in the VDI
8.8.3. User Security    Privacy Protection

8.9. VDI Advanced Usage Cases

8.9.1. Using VDI for Secure Remote Access
8.9.2. Using VDI for Specialized Application Virtualization
8.9.3. Using VDI for Mobile Devices Management

8.10. Trends and Future of VDI

8.10.1. New Technologies and Trends in the Field of VDI
8.10.2. Predictions on the Future of VDI
8.10.3. Future Challenges and Opportunities for VDI

Module 9. Infrastructure Operation-as-Code (IAC)

9.1. Infrastructure as-Code (IAC)

9.1.1. IAC, Infrastructure as Code
9.1.2. Infrastructure Management Evolution
9.1.3. Advantages of a IAC

9.2. Strategies for IaC Definition

9.2.1. Requirements Analysis
9.2.2. Imperative Definition
9.2.3. Declarative Definition

9.3. IaC Tools.

9.3.1. IaC Objectives
9.3.2. Proprietary Tools
9.3.3. Third-Party Tools

9.4. Evolution of Infrastructure as Code

9.4.1. IAC in Kubernetes
9.4.2. Platform as Code
9.4.3. Compliance as Code

9.5. IaC in Devops

9.5.1. Flexible Infrastructures
9.5.2. Continuous Integration
9.5.3. Pipeline as Code

9.6. IAC-VPC-Proprietary Tools

9.6.1. Design of a VPC
9.6.2. Deployment of the Solution
9.6.3. Validation and Analysis

9.7. IAC-Serverless - Proprietary Tools

9.7.1. Design of a Serverless Solution
9.7.2. Deployment of the Solution
9.7.3. Validation and Analysis

9.8. IAC-VPC- Third-Party Tools

9.8.1. Design of a VPC
9.8.2. Deployment of the Solution
9.8.3. Validation and Analysis

9.9. IAC - Serverless- Third-Party Tools

9.9.1. Design of a Serverless Solution
9.9.2. Deployment of the Solution
9.9.3. Validation and Analysis

9.10. IAC - Comparison Future Trends

9.10.1. Valuation of Proprietary Solutions
9.10.2. Valuation of Third-Party Solutions
9.10.3. Future Lines

Module 10. Monitoring and Backup of Cloud Infrastructures

10.1. Monitoring and Backup of Cloud Infrastructures

10.1.1. Benefits of Backup in Clouds
10.1.2. Types of Backup
10.1.3. Benefits of Monitoring in Clouds
10.1.4. Types of Monitoring

10.2. Availability and Security of Cloud Infrastructure Systems

10.2.1. Main Factors
10.2.2. The Most Demanded Uses and Services
10.2.3. Evolution

10.3. Backup Service Types in Cloud Infrastructures

10.3.1. Total Backup
10.3.2. Incremental Back-up
10.3.3. Differential Backup
10.3.4. Other Types of Backup

10.4. Strategy, Planning and Management of Backups in Cloud Infrastructures

10.4.1. Establishment of Objectives and Scope
10.4.2. Types of Backup Copies
10.4.3. Good Practices

10.5. Continuity Plan in Cloud Infrastructures

10.5.1. Strategy of the Continuituy Plan
10.5.2. Types of Plans
10.5.3. Creating a Continuity Plan

10.6. Monitoring Types in Cloud Infrastructures

10.6.1. Performance Monitoring
10.6.2. Availability Monitoring
10.6.3. Event Monitoring
10.6.4. Log Monitoring
10.6.5. Network Traffic Monitoring

10.7. Cloud Infrastructure Monitoring Strategy, Tools and Techniques

10.7.1. How to Set Objectives and Scopes
10.7.2. Types of Monitoring
10.7.3. Good Practices

10.8. Continuous Improvement in Cloud Infrastructures

10.8.1. Cloud Continuous Improvement:
10.8.2. Key Performance Metrics (KPIs) in the Cloud
10.8.3. Designing a Continuous Improvement Plan in the Cloud

10.9. Case Studies in Cloud Infrastructures

10.9.1. Study Case Backup
10.9.2. Study Case Monitoring
10.9.3. Learnings and Good Practices

10.10. Case Studies in Cloud Infrastructures

10.10.1. Laboratory 1
10.10.2. Laboratory 2
10.10.3. Laboratory 3

Alcanza tus metas más altas en esta área y consigue ser ingeniero DevOps, platform engineer, arquitecto Cloud o experto en cualquier otra área que te propongas gracias a TECH”