Cloud Computing

Objective
This cloud computing courses category will equip you to master the top cloud computing platforms. Today most of the organizations are already on the cloud and those that are not are quickly making the shift towards the cloud. Due to this the cloud computing service providers are scaling their offerings and new players are coming in the market. The professionals who take these cloud computing courses and get certified can take on increasingly important roles in the industry.
Train your teams on the theory and enable technical mastery of cloud computing courses essential to the enterprise such as security, compliance, and migration on AWS, Azure, and Google Cloud Platform.
Prerequisites:
It is essential to know the basic concepts related to operating systems, like Windows, Linux. Also, prior exposure to public or private cloud environments, or infrastructure and network management is a plus.
Who should attend:
Applicants should have experience in IT & technology role with exposure to one or more of these skill sets: Systems Administration, Network Engineering, Database Administration, ITSM, Infrastructure Engineering, Software Development, Testing/QA, Maintenance & Tech Support. You should have an understanding of IT Services Management.
REGISTER
GROUP OF 3 OR MORE [USD 800 PER PARTICIPANT]
INDIVIDUAL STANDARD PRICE [USD 1000 PER PARTICIPANT]
Course Features
- Lectures 46
- Quizzes 0
- Language English
- Students 54
- Certificate No
- Assessments Yes
-
Fundamental Courses
-
AWS Associate Level courses
-
AWS Professional and Specialist Courses
-
Docker / Jenkins / Github / Ansible / Kubernetes (Individually)
-
Cloud Computing Course (from basic, labs can be done on IBM Cloud for the PaaS part) - 3 to 4 days
-
Cloud Deployment Models
-
OpenStack Course (Labs included) - 3 to 4 days
- The evolution of Datacentres
- What is OpenStack
- How it started
- OpenStack in numbers
- Pros and Cons
- Core services (in-depth)
- Keystone
- Glance
- Nova
- Neutron
- Cinder
- Heat
- Swift
- OpenStack Architecture
- Implementation/Deployment
- VM provisioning
- Controller node
- Compute node
- Examples
- Infrastructure as a Code
- Terraform