Cloud computing is a rapidly evolving field. It is a computing style in which a shared group of resources such as web servers, data processing services and applications are retrieved via the internet. Our cloud computing course focusses on the topics such as service models (LAAS, PAAS, SAAS), AWS storage devices (EBS, EFS, S3), and AWS databases (RDS, DynamoDB), etc.
You will receive a certification of internship completion from Edu-station, *Letter of recommendation from mentors [ This will be awarded by the mentors based on the performance during the project] after completing the course.
Yes, all the reference materials including PDFs, eBooks, and Case studies, will be provided to the students. In addition, Counselling sessions, and doubt sessions will also be given to all the students.
Yes, we provide a variety of payment options to the students including one-time payment, EMI options, etc.
A large variety of initial career opportunities are available after completing our machine learning course such as cloud administrator, cloud network engineer, cloud security analyst, cloud automation engineer, and cloud consultant.
Requirements
- Students should be committed to working hard and completing all the necessary work/assignments given. As there is no magic pill and learning machine learning is a process.
- Students should be open to learning new things.
- Students should be consistent as at least 80% attendance and submitting all the projects before the deadline is mandatory for completing the course. [*In case of unavoidable circumstances, exceptions will be allowed after the operations team has verified everything.]
Features
- Learn a skill that is very crucial for all the businesses that are focusing on providing services online.
- Explore all the resources about cloud computing conveniently at one place.
- Study about content delivery and DNS services, which are very important for most of businesses.
- Learn data science from experienced mentors working in top firms such as Microsoft, IBM, and TCS.
- Get lifetime access to all the materials and mentor guidance.
- Work on real-time projects (major and minor projects). Learn the application of the core concepts and become industry ready.
Target audiences
- Anyone looking to kickstart their career in the machine learning domain.
- Any undergraduate students looking to get first-hand experience with machine learning.
- Experienced people that are looking to shift from their current specific domains to machine learning.
