Introduction
Cloud Computing is a model for delivering information technology services in which resources are retrieved from the Internet using Web-based tools and applications, rather than a directly from a server. Cloud Computing has several benefits, including reduced costs, increased flexibility and scalability, and improved security. It has become a popular choice of technological adoption for businesses and organizations looking to reduce IT costs and increase efficiency.
There is a high demand for professionals with knowledge and skills in Cloud Computing. A course in Cloud Computing can help one to learn the foundations of Cloud Computing, as well as develop practical skills for working with cloud platforms and technologies. It can also help students to prepare for certification exams such as the Certified Cloud Practitioner or the Certified Solutions Architect, which can demonstrate to employers that they have the necessary skills and knowledge to work in the field.
In this course, STL Academy offers various subjects such as introduction to Cloud Computing, virtualization, cloud security, and big data technologies, which will help students to develop the basic skills that are imperative for effectively storing the data over cloud and mitigate the knowledge gap between business users and technologists, and thus cloud practitioners must be fluent in both the business and technological domains.
Curriculum

- Basics of Computing
- Computing Lab
- Database Management Systems
- Database Management Systems Lab
- Introduction to Cloud Computing
- Cloud Monitoring and Performance Management
- Cloud Architecture and Deployment Models
- Cloud Services and Service Models
- Cloud Virtualization and Containers
- Cloud Automation and DevOps Lab
- Deployment and Management of Cloud Infrastructure Lab
- Cloud Migration and Transition Planning
- Cloud Disaster Recovery and Business Continuity

- Cloud Governance and Compliance
- Cloud Security and Risk Management
- Cloud Monitoring and Performance Management
- Cloud Cost Optimization and Resource Management
- Cloud Integration and Interoperability

- Classroom sessions, simulation exercises, case studies
- Assignments and discussions
- Projects (On-site and off-site)

- Cloud Solutions Architect
- Cloud Developer
- Cloud DevOps Engineer
- Cloud System Administrator
- Cloud Data Engineer
- Database administrator
Key Learning Outcomes
evaluation of data
management problems
and maintenance of data.
Why STL
studies.
Post Successful
Completion of
this course
Eligibility Criteria for Admission in PG Diploma Courses of STL Academy
Any student who:
- is a B.Tech with 50% or higher.
- is a graduate in any quantitative discipline like engineering, mathematics, commerce, sciences, statistics, economics etc. with 50% or higher.
- has cleared the STL – STEM (Sterlite Technical Eligibility Milestone) Test with 60% or higher.
- can read and write in English
- is passionate about technologies
- For Cloud Computing, the candidate should understand basic concepts of Math and Statistics, along with above requirements.
For Cloud Computing, the candidate should understand basic concepts of Math and Statistics, along with above requirements.