TED/C03
Cloud and DevOps
6 months, Rs. 1.375 lakhs, AWS Cloud, Azure Cloud, Google cloud, Github, Bitbucket, Jenkins, Kubernetes
Students learn Cloud and DevOps using Hands-on Training, Students learn Customer app, network, compute, storage infrastructure, architecting, deploying and monitoring on AWS cloud, Google cloud, Azure cloud.
The student will be a Cloud Enabled Certified CloudOps Professional.
TED/C03
Number of Lecture (L) hours and Practical (P) hours
- All subjects - 20% theory + 80% Lab sessions
- 72 hours (theory) + 288 hours ( Lab /projects session) - total 60 days for Cloud (3 calendar months)
- 72 hours (theory) + 288 hours ( Lab/project session) - total 60 days for DevOps (3 calendar months)
Differentiators
- Training delivered by Consultants who do Cloud and DevOps in enterprise customer segment.
- More architectural knowledge with hands-on experience to backup the architect in not just theory but also implement and run the services.
- This is as good as 6 months of job experience instead of mere academic course.
- Students learn Multi-cloud ( AWS, azure and Google cloud ) that way has a higher rate of selection in companies . Example: hiring person looking for Azure can hire , strictly if hiring for AWS cloud also can or even google cloud hiring manager.
- We challenge you to get this course reviewed by any Cloud and DevOps expert and let us know if they don't think our course is world class curriculum and exactly what industry demands.
Course Curriculum Outline
- Month 1 -2: Virtualization, Linux, AWS Cloud, Azure Cloud and Google Cloud
- Month 3: Cloud Projects + YouTube videos and LinkedIn blogs from
- students on Cloud Topics
- Month 4-5: DevOps Concepts + Hands-on labs
- Month 6: DevOps Projects + YouTube videos and LinkedIn blogs from students on DevOps Topics
Evaluation
Three exams:
- Theory- 100 marks
- Objective- 100 marks
- Practical ( 4 scenario based questions, 25 marks each) 100 marks
Student should score a minimum of 60 marks (aggregate)
Reference Materials
In the brochure
Course Learning Outcomes
- Customer app, network, compute, storage infrastructure, architecting, deploying and monitoring on AWS cloud.
- Customer app, network, compute, storage infrastructure, architecting, deploying and monitoring on Azure Cloud.
- Customer app, network, compute, storage infrastructure, architecting, deploying and monitoring on Google cloud.
- Setup a production grad fully function CI/CD pipeline using Github/Bitbucket/, Jenkins/Bamboo CI, SonarQube, nexus, ow sap, Ansible, terraform chef and puppet.
- Deploy Docker and Kubernetes cluster, helm charts , Prometheus and Grafana for Kubernetes monitoring.
Complete curriculum
Pre- requisites
- Basics of Linux is mandatory. (mandatory skills and not optional)
- Basic of one more language. (mandatory- however academic knowledge is sufficient)
Teaching pedagogies
- Training delivered by practitioners and not academic people.
- Focus on hands-on labs rather than theoretical
- Get trained exactly, what Industry is looking for.
Tools Used
- AWS Cloud
- Azure Cloud
- Google cloud
- Github
- Bitbucket
- Jenkins
- Bamboo CI
- sonarqube
- Nexus
- Jira
- Ansible
- Chef
- Puppet
- Docker
- Kubernetes
- Helm
- Prometheus
- Grafana
Lab Avaliability
Students need to sign up for a free trial in all cloud providers (mandatory). Over and above free trial the lab cost they will incur on cloud will be 10,000 INR to 25,000 INR maximum
Credits
NA
Placement Potential
- All IT roads are heading towards Cloud and DevOps, be it clients investing there new IT investments are predominant to cloud.
- System integrators and services companies are investing predominantly on building their team to deploy, migrate and manage cloud and DevOps services.
- ValuePoint Systems and many SI’s are interested in hiring.
Industry Associates
Cloud Enabled
Brochure
Accademic Associates
NA
Resource Persons
Ajay Babu Bidari - Vice President, Sr. IT Consultant , Corporate Trainer- Cloud Services
Course Coordinator
Mr Anil Bidari (TDM linked)
Pricing
INR 1,37,500 per student (excluding taxes)
Number of Lecture (L) hours and Practical (P) hours
- All subjects - 20% theory + 80% Lab sessions
- 72 hours (theory) + 288 hours ( Lab /projects session) - total 60 days for Cloud (3 calendar months)
- 72 hours (theory) + 288 hours ( Lab/project session) - total 60 days for DevOps (3 calendar months)
Differentiators
- Training delivered by Consultants who do Cloud and DevOps in enterprise customer segment.
- More architectural knowledge with hands-on experience to backup the architect in not just theory but also implement and run the services.
- This is as good as 6 months of job experience instead of mere academic course.
- Students learn Multi-cloud ( AWS, azure and Google cloud ) that way has a higher rate of selection in companies . Example: hiring person looking for Azure can hire , strictly if hiring for AWS cloud also can or even google cloud hiring manager.
- We challenge you to get this course reviewed by any Cloud and DevOps expert and let us know if they don't think our course is world class curriculum and exactly what industry demands.
Course Curriculum Outline
- Month 1 -2: Virtualization, Linux, AWS Cloud, Azure Cloud and Google Cloud
- Month 3: Cloud Projects + YouTube videos and LinkedIn blogs from
- students on Cloud Topics
- Month 4-5: DevOps Concepts + Hands-on labs
- Month 6: DevOps Projects + YouTube videos and LinkedIn blogs from students on DevOps Topics
Evaluation
Three exams:
- Theory- 100 marks
- Objective- 100 marks
- Practical ( 4 scenario based questions, 25 marks each) 100 marks
Student should score a minimum of 60 marks (aggregate)
Reference Materials
In the brochure
Course Learning Outcomes
- Customer app, network, compute, storage infrastructure, architecting, deploying and monitoring on AWS cloud.
- Customer app, network, compute, storage infrastructure, architecting, deploying and monitoring on Azure Cloud.
- Customer app, network, compute, storage infrastructure, architecting, deploying and monitoring on Google cloud.
- Setup a production grad fully function CI/CD pipeline using Github/Bitbucket/, Jenkins/Bamboo CI, SonarQube, nexus, ow sap, Ansible, terraform chef and puppet.
- Deploy Docker and Kubernetes cluster, helm charts , Prometheus and Grafana for Kubernetes monitoring.
Complete curriculum
Pre- requisites
- Basics of Linux is mandatory. (mandatory skills and not optional)
- Basic of one more language. (mandatory- however academic knowledge is sufficient)
Teaching pedagogies
- Training delivered by practitioners and not academic people.
- Focus on hands-on labs rather than theoretical
- Get trained exactly, what Industry is looking for.
Tools Used
- AWS Cloud
- Azure Cloud
- Google cloud
- Github
- Bitbucket
- Jenkins
- Bamboo CI
- sonarqube
- Nexus
- Jira
- Ansible
- Chef
- Puppet
- Docker
- Kubernetes
- Helm
- Prometheus
- Grafana
Lab Avaliability
Students need to sign up for a free trial in all cloud providers (mandatory). Over and above free trial the lab cost they will incur on cloud will be 10,000 INR to 25,000 INR maximum
Credits
NA
Placement Potential
- All IT roads are heading towards Cloud and DevOps, be it clients investing there new IT investments are predominant to cloud.
- System integrators and services companies are investing predominantly on building their team to deploy, migrate and manage cloud and DevOps services.
- ValuePoint Systems and many SI’s are interested in hiring.
Industry Associates
Cloud Enabled
Brochure
Accademic Associates
NA
Course Coordinator
Mr Anil Bidari (TDM linked)
Pricing
INR 1,37,500 per student (excluding taxes)
