You will get CI/CD Automation for ML Pipelines - Turn Git Commits into Auto-Deployment
Project details
What You Get
Ready‑to‑run CI/CD pipeline in your repo
Dockerfile and Kubernetes manifest file or Helm chart (or Cloud Run YAML)
Written run‑book (PDF) + architecture diagram
Recording of the live walk‑through
10 days of support for tweaks and questions
Ready‑to‑run CI/CD pipeline in your repo
Dockerfile and Kubernetes manifest file or Helm chart (or Cloud Run YAML)
Written run‑book (PDF) + architecture diagram
Recording of the live walk‑through
10 days of support for tweaks and questions
Machine Learning Tools
Amazon SageMaker, Azure Machine Learning, GitHub Copilot, Google AutoML, Kubeflow, MLflow, Python, Python Scikit-Learn, PyTorch, scikit-learn, TensorFlowWhat's included $800
These options are included with the project scope.
$800
- Delivery Time 5 days
- Number of Revisions 1
- Data Source Connectivity
Optional add-ons
You can add these on the next page.
Fast 3 Days Delivery
+$200About Nilay
Business Development Director
Ahmedabad, India - 3:49 pm local time
Steps for completing your project
After purchasing the project, send requirements so Nilay can start the project.
Delivery time starts when Nilay receives requirements from you.
Nilay works on your project following the steps below.
Revisions may occur after the delivery date.
Detailed Technical Review
Review architecture and data pipelines Identify specific challenges
Compliance & Metrics Alignment
Clarify security and compliance needs (SOC 2, HIPAA, GDPR) Align on success metrics