Opleiding: Operationalize machine learning and generative AI solutions (verkorte versie) (AI-300)

Wil jij AI-oplossingen naar productie brengen? Leer hoe je met MLOps en generatieve AI schaalbare, betrouwbare en toekomstbestendige oplossingen bouwt op Azure.

Wil je AI-oplossingen ontwikkelen met Microsoft Azure? In deze training leer je
AI-functionaliteiten integreren met Azure Cognitive Services, Azure Cognitive
Search en het Microsoft Bot Framework. Je krijgt praktijkgerichte kennis over
beeld- en spraakherkenning, natuurlijke taalverwerking, intelligente
zoekoplossingen en chatbotontwikkeling.

Kies de trainingsvorm die bij jou past:

3-daagse training: Verspreid over drie weken met één lesdag per week.
4-daagse training: Bevat dezelfde lesstof, maar met extra verdiepingsdag in de
laatste week. Hierdoor is er meer ruimte voor herhaling, praktijkcases en
gerichte examenvoorbereiding.

This course prepares learners to design, implement, and operate Machine
Learning Operations (MLOps) and Generative AI Operations (GenAIOps) solutions
on Azure. It covers building secure and scalable AI infrastructure, managing
the full lifecycle of traditional machine learning models with Azure Machine
Learning, and deploying, evaluating, monitoring, and optimizing generative AI
applications and agents using Microsoft Foundry. Learners will gain hands-on
knowledge of automation, continuous integration and delivery, infrastructure as
code, a

This course is intended for data scientists, machine learning engineers, and
DevOps professionals who want to design and operate production-grade AI
solutions on Azure. It is suited for learners with experience in Python, a
foundational understanding of machine learning concepts, and basic familiarity
with DevOps practices such as source control, CI/CD, and command-line tools,
who are preparing to implement MLOps and GenAIOps workflows using Azure-native
services.

Experiment with Azure Machine Learning
Perform hyperparameter tuning with Azure Machine Learning
Run pipelines in Azure Machine Learning
Trigger Azure Machine Learning jobs with GitHub Actions
Trigger GitHub Actions with feature-based development
Work with environments in GitHub Actions
Deploy a model with GitHub Actions
Plan and prepare a GenAIOps solution
Manage prompts for agents in Microsoft Foundry with GitHub
Evaluate and optimize AI agents through structured experiments
Automate AI evalua

MICROSOFT AI-300