Specialised Technical Course
AI-Powered Software Development and MLOps
Develop a reviewed software and MLOps workflow that connects AI-assisted development, model versioning, deployment checks and production monitoring.
Course Overview
Examines AI-assisted software development alongside the lifecycle of machine learning models. Participants review development workflows, model deployment and the checks needed to monitor changes in production.
Who This Course Is For
- Software engineers evaluating AI-assisted development
- Machine learning and data specialists
- DevOps engineers supporting model deployment
- Technical leads reviewing delivery workflows
What Participants Will Learn
Assess AI-assisted changes within development workflows
Track model versions and supporting evidence
Define deployment checks and review responsibilities
Connect production monitoring with model changes
Design an MLOps workflow with checkpoints
Key topics
- AI-assisted development
- Model versioning
- Deployment workflows
- Production monitoring
Course Modules
Back to Course OverviewDevelopment and MLOps Context
Development and MLOps Context
Module overview
Review how AI-assisted development and model lifecycle management connect through versioning, deployment and production evidence.
Key topics
AI-assisted development · Model versioning · Deployment workflows · Production monitoring
Learning outcome
Identify the stages and review responsibilities in a software and MLOps workflow.
Learning format
Technical explanation · worked examples · software exercise
AI-Assisted Development and Review
AI-Assisted Development and Review
Module overview
Examine how generated development suggestions are assessed through requirements, implementation review and testing.
Key topics
Development requirements · Generated suggestions · Code review · Test evidence
Learning outcome
Define checks for reviewing AI-assisted development changes before integration.
Learning format
Technical explanation · worked examples · software exercise
Model Versioning and Traceability
Model Versioning and Traceability
Module overview
Connect model versions with data, configuration and evaluation records needed to explain a deployment choice.
Key topics
Model versions · Data references · Configuration records · Evaluation evidence
Learning outcome
Outline the records needed to trace a model from development to deployment.
Learning format
Technical explanation · worked examples · software exercise
Deployment and Production Monitoring
Deployment and Production Monitoring
Module overview
Review deployment decisions, operating signals and the checks needed when model behaviour changes in production.
Key topics
Deployment workflows · Release checks · Production monitoring · Change review
Learning outcome
Define deployment and monitoring checkpoints for a proposed model change.
Learning format
Technical explanation · worked examples · software exercise
MLOps Workflow Design Case
MLOps Workflow Design Case
Module overview
Design a delivery workflow and review the links between development changes, model versions and operational checks.
Key topics
Workflow case · Version traceability · Deployment review · Monitoring checkpoints
Learning outcome
Participants can outline a development and MLOps workflow with review checkpoints.
Learning format
Lectures, software exercises and workflow workshop
Programme Information
Course duration, location, practical components, training-centre information and applicable certification arrangements depend on the selected programme.
Learning format: Lectures, software exercises and workflow workshop
Request the Complete Course Information