Cloud, infrastructure & networks - Operationalize Machine Learning and Generative AI solutions (Microsoft AI-300)
A practical course focused on Operationalize Machine Learning and Generative AI solutions (Microsoft AI-300). Participants build skills across three priorities: Operationalize Machine Learning Models (MLOps), Operationalize Generative AI Applications (GenAIOps).
Detailed programme
Operationalize Machine Learning Models (MLOps)
- Experiment with Azure Machine Learning.
- Perform hyperparameter setting with Azure Machine Learning.
- Run pipelines in Azure Machine Learning.
- Start Azure Machine Learning works with GitHub Actions.
- Trigger GitHub Actions with feature-based development.
- Use environments in GitHub Actions.
- Deploy a model with GitHub Actions.
Hands-on work
- Find the best model with AutoML, run a hyperparameter tuning, create and run a ML pipeline, automate with GitHub Actions, deploy a model with Azure ML CLI.
Operationalize Generative AI Applications (GenAIOps)
- Plan and prepare GenAIOps solution Manage prompts for agents in Microsoft Foundry with GitHub Evaluate and optimize AI agents through structured experimentations Automate AI evaluations with Microsoft Foundry and GitHub Actions Monitor your general AI application Analyze and debug your general AI application with tracking
Hands-on work
- Plan a GenAIOps solution, manage prompts with GitHub, evaluate and optimize AI agents, automate evaluations, monitor an application, analyze and debug with tracking.
Tell us about your project
Our offices
- Exceev Consulting
61 Rue de Lyon
75012, Paris, France - Exceev Technology
332 Bd Brahim Roudani
20330, Casablanca, Morocco