Design AI Orchestration and E2E Workflows by kamini PereraDesign AI Orchestration and E2E Workflows by kamini Perera
Design AI Orchestration and E2E Workflowskamini Perera
Cover image for Design AI Orchestration and E2E Workflows
This deliverable covers the complete lifecycle—from initial strategy and design through deployment and MLOps—required to create and launch an AI-Driven Tool or Platform. It results in a fully functional, production-ready solution that leverages trained AI/ML models to deliver specific business value, ensuring performance, scalability, and robust operational monitoring.

What's included

E2E Design and delivery of AI Driven tools and platforms
Phase Description Key Artifacts Design Defining the strategy, architecture, and data needs. AI Strategy, Technical Architecture, Data Plan. Development Building, training, and integrating the solution components. Fully Trained AI/ML Model, Data Pipelines, Tool/Platform Code. Testing Verifying model performance and system functionality. Model Validation Report, System Integration Test (SIT) Results. MLOps Establishing production deployment, monitoring, and maintenance. Automated Deployment Scripts, Monitoring Dashboards, Operational Runbook.
Starting at$35 /hr
Tags
JavaScript
LangChain
Python
React
StarUML
Architect
Data Analyst
Design Engineer
Service provided by
kamini Perera Colombo, Sri Lanka
$1k+
Earned
1
Paid projects
1
Followers
Design AI Orchestration and E2E Workflowskamini Perera
Starting at$35 /hr
Tags
JavaScript
LangChain
Python
React
StarUML
Architect
Data Analyst
Design Engineer
Cover image for Design AI Orchestration and E2E Workflows
This deliverable covers the complete lifecycle—from initial strategy and design through deployment and MLOps—required to create and launch an AI-Driven Tool or Platform. It results in a fully functional, production-ready solution that leverages trained AI/ML models to deliver specific business value, ensuring performance, scalability, and robust operational monitoring.

What's included

E2E Design and delivery of AI Driven tools and platforms
Phase Description Key Artifacts Design Defining the strategy, architecture, and data needs. AI Strategy, Technical Architecture, Data Plan. Development Building, training, and integrating the solution components. Fully Trained AI/ML Model, Data Pipelines, Tool/Platform Code. Testing Verifying model performance and system functionality. Model Validation Report, System Integration Test (SIT) Results. MLOps Establishing production deployment, monitoring, and maintenance. Automated Deployment Scripts, Monitoring Dashboards, Operational Runbook.
$35 /hr