Build the path software takes to run, then put a model service on that path. 12 weeks at the Madhapur desk. You leave a pipeline, a place it runs, and a note.
From Git and the pipeline through a model service you can rerun.
Run path
Containers, a cloud environment, monitoring, then the model on that path.
Madhapur desk
Classes at Road No. 45, or hybrid if you cannot sit in.
The path
A service is ready when someone else can run it.
DevOps and cloud work is the path from a change to a running system. You practice the pipeline, containers, and a cloud environment. The last weeks put one model service on that path and write how to watch it.
Walk through the 12-week cloud path with the Madhapur desk.
Supports career direction, interview readiness, and growth plans for every learner.
Akhil Gunisetty, Career Mentorship Mentor
Who it is for
Four seats on a path that has to keep running.
Pipeline owner
A change that only runs on your laptop is not delivered.
What you cover
You put the work in Git and a pipeline that repeats the same checks.
Instructor-led labs, then a capstone the team can run.
Two people checking a delivery pipeline
On the path
What you practice before a service is called done.
Repeat the build, run it in one place, then watch it after it starts.
Repeat the build
Git and a pipeline that runs the same checks every time.
Pack the service
A container that starts the same way in the lab and in the cloud.
Place it
A cloud environment and the access that environment needs.
Watch it
What you look at after the model service is already running.
Skills you practice
Git
Pipelines
Containers
Orchestration
Cloud
Monitoring
A model service
Run notes
Git
Pipelines
Containers
Orchestration
Cloud
Monitoring
A model service
Run notes
Roadmap
Twelve weeks, in the order a service is delivered.
Hybrid · online or at the desk · pipeline, containers, cloud, then a model service.
Weeks 1–3
The change. Git, and a pipeline that repeats the checks.
Git for a team
A history another person can read, and a change you can undo.
A branch the team can review
A change you can explain
A pipeline
The same checks, every time, without a person remembering the steps.
What the pipeline runs
What stops a bad change
Weeks 4–6
The package. A container, then more than one part that starts together.
One container
The service starts from the same build in the lab.
What is inside the build
How you start it
More than one part
The pieces that have to start together, and the order they need.
What depends on what
How you restart it
Weeks 7–9
The place. A cloud environment, the access, and what you watch.
A place to run
The environment, the access, and what you will not leave open.
Where it runs
Who can reach it
A watch
The signals you look at after the service is already up.
What healthy looks like
The note for the next shift
Weeks 10–12
The model service. One model on the path you already built.
A model as a service
One prediction endpoint on the pipeline, the container, and the cloud place.
The input it accepts
How you roll it forward
Capstone
The path, the model service, and a note the next person can follow.
How to run it again
What you watch
Pipeline
Make the check repeat
The lab is ready when a second person can run the same pipeline without asking you.
Cloud
Name the place it runs
You write where it runs, who can reach it, and what you closed.
Model service
Put one model on that path
The note says the input, the prediction, and how to roll the service forward.
Capstone
One path, from a change to a model service you can rerun.
In class
Each block ends with something the next person can start.
The weeks are instructor-led. You work in the lab, online or at the desk.
Pipeline
Container
Cloud
The lab, with the class
Capstone
A model service you can walk through
The capstone starts with a change in Git and ends with a model service in a cloud environment.
You show the pipeline, the place it runs, the watch, and the note.
Pipeline
Cloud
Model service
Run note
Two people walking through the finished service
How the weeks run
How the twelve weeks run.
A huddle before the pipeline lab
01
You start with the change.
The first weeks are Git and a pipeline. You do not open a cloud account until that repeats.
The class in the cloud lab
02
Then you give it a place.
Containers and a cloud environment, with the access written down.
Pairing on the model service
03
You leave a model service.
The last weeks put one model on that path and a note the next shift can read.
Certificate
A certificate of completion for this program.
Syncpedia issues a certificate of completion after the 12 weeks and the capstone. It names the program. It does not list a salary, a placement rate, or a job offer.
Syncpedia
Certificate of completionDevOps Cloud with AI EngineeringIssued after the 12 weeks and the capstone
Git
Pipelines
Containers
Orchestration
Cloud
Monitoring
A model service
Run notes
