The illustrations were created in cooperation between humans and artificial intelligence. They show a future in which technology is omnipresent, but people remain at the center.
AI-generated illustration
.svg)
.svg)
€ 1.590,-
plus VAT.
€ 1.892,10
incl. VAT.
Booking number
36165
Venue
Online
.svg)
2 dates
€ 1.590,-
plus VAT.
€ 1.892,10
incl. VAT.
Booking number
36165
Venue
Online
2 dates
€ 1.590,–
plus VAT.
€ 1.892,10
incl. VAT.
Booking number
Venue
0 Dates
Become a certified
Machine Learning Engineer
Machine Learning Engineer
This course is part of the certified Master Class "Machine Learning Engineer". If you book the entire Master Class, you save over 15 percent compared to booking this individual module.
To the Master Class
In-house training
In-house training for your Employees only - exclusive and effective.
Inquiries
In cooperation with
This course provides the basic set of skills in the area of cloud and virtualization. You will learn and understand the key cloud concepts and basic terminology. You will complete the training with the CCC Cloud Technology Associate certification.
Contents
1st course introduction
- Learning objectives & learning content
- Requirements of the CCC certification test
2. introduction to the cloud services model
- Switching from traditional computing to the cloud environment
- Development of cloud computing
- NIST definition of cloud computing (key features, service models and deployment models)
- NIST cloud taxonomy and the reference architecture
- Advantages and challenges associated with cloud computing
- Cloud computing terminology
3. introduction to virtualization: the backbone technology of cloud computing
- Virtualization & basic concepts
- Relationship between virtualization and cloud computing
- Advantages, challenges, risks and the suitability of virtualization for companies
- Necessity of hypervisors and containers and their different types
- The role of hypervisors and containers in virtualization
- leading manufacturer of hypervisors, containers and container orchestration systems
- Virtualization terminology
4. cloud computing - an important pillar of the digital transformation
- Cloud computing & new technologies for digital transformation e.g:
- Big Data Analytics
- DevOps (incl. serverless computing)
- Artificial intelligence (AI), machine learning (ML), robotics, drones and cognitive data processing
- Internet of Things (IoT), edge and fog computing
- Blockchain
- Immersive Technologies - Augmented Reality (AR) / Virtual Reality (VR)
- 5G
- Digital Twin
- Robotic Process Automation (RPA)
- Quantum Computing
- Additive manufacturing (3D printing)
5. cloud security
- Definitions: IT security, governance, risk, compliance (GRC)
- Risk terminology, the most important cloud risks and the NIST Cyber Security Framework
- The impact of cloud, cloud service models and cloud delivery models on business value and the associated risks
- Role of IT compliance and audits
6. preparation for the cloud introduction
- Successful introduction of cloud computing services
- Suitable solution architectures for different service and delivery models
- organizational skills relevant to leveraging the benefits of the cloud
- Roles and capabilities of cloud computing providers, vendors and vendor dependencies
- Approaches for the migration of applications
Your benefit
- Understanding of the basic concepts of cloud computing, including the business benefits and cloud terminologies
- Knowledge of the technical aspects (high-level) of virtualization, including the role and benefits of hypervisors and containers and the different types of virtualization
- Understanding of emerging technologies (AI, IoT, 5G, RPA, Digital Twin and others) and how they can improve cloud computing, e.g. performance, security and faster deployment
- Understanding cloud security, governance, risk and compliance and identifying the risks/threats associated with cloud computing and defining the appropriate mitigations and best practices
- Knowledge of the strategies included in the cloud adoption roadmap and their implementation and migration for different cloud service and deployment models
trainer
Pierre Meli
Methods
This course consists of training training and is led by a trainer who supervises the participants live. Theory and practice are taught with live demonstrations and practical exercises. The video conferencing software Zoom is used.
Final examination
Recommended for
This course is aimed at IT managers, solution consultants, IT specialists (architects, business analysts, software developers, etc.), IT administrator (system, database, etc.), IT infrastructure specialists (hardware, network, storage, etc.) as well as consultants, sales persons, purchasers or audit and legal experts .
.svg)
