AI-300T00: Operationalize machine learning and generative AI solutions
Operate machine learning and generative AI systems on Azure.
Your learning pathway
A suggested plan to discuss with our training advisers.
Before this course
AI-103T00: Develop AI apps and agents on AzureAZ-104T00: Microsoft Azure AdministratorCurrent course
- Level
- Intermediate
- Product
- Microsoft Azure
- Role
- AI Engineer, Data Scientist
- Last updated
- 24 October 2026
- Duration
- 4 days
- Language
- English
Build practical skills
Operate Azure AI systems through MLOps and GenAIOps, covering infrastructure, model lifecycles, deployment, evaluation, monitoring and automation.
Prerequisites
Python, basic machine learning and familiarity with source control and CI/CD.
Certification
Microsoft Certified: Machine Learning Operations Engineer Associate
What you will learn
AI infrastructure
Plan secure, scalable foundations.
Model lifecycle
Manage machine learning workflows.
Generative AI operations
Deploy and evaluate applications.
Automation
Apply delivery and infrastructure practices.
Observability
Monitor and optimise AI systems.
Team collaboration
Connect data science and DevOps.
Is this course right for you?
AI operations practitioners
Data scientists, ML engineers and DevOps professionals.
Teams and organisations
Discuss your team objectives and starting skills with our training advisers.
Course FAQs
How long is AI-300T00?
4 days in the Microsoft course outline. Confirm delivery dates with our team.
Who should take AI-300T00?
AI operations practitioners: Data scientists, ML engineers and DevOps professionals.
Which topics does AI-300T00 cover?
AI infrastructure; Model lifecycle; Generative AI operations; Automation; Observability; Team collaboration.
What background is useful for AI-300T00?
Python, basic machine learning and familiarity with source control and CI/CD.
How can I book AI-300T00 training?
Use Enquire or the 1-on-1 SME option to discuss dates, delivery, pricing and your learning goals.
Request for more information
AI-300T00: Operationalize machine learning and generative AI solutions
For corporate training
trainings@debugdeploy.comOfficial courseware
Learning resources confirmed for your chosen training format.
Hands-on lab
Lab setup and access period confirmed in your training quotation.
Alumni discount
Ask our team about current offers.
Practice questions
Discuss suitable practice resources with our team.
Certificate of completion
Completion documentation confirmed before booking.
Post-training support
Support scope and duration agreed with your training plan.
Session recordings
Ask about recording availability before booking.
Rescheduling
Date changes are subject to the agreed booking terms.
Certification & exam
Microsoft Certified: Machine Learning Operations Engineer Associate
- Exam code
- AI-300
- Exam name
- Operationalizing Machine Learning and Generative AI Solutions
- Format
- Proctored; question types vary
- Questions
- Varies by assessment
- Duration
- 120 minutes
- Passing score
- 700 (scaled score)
- Validity / renewal
- 12 months; renewable
- Retakes
- First retry after 24h; later waits apply
Passing the course alone does not award this credential; check the official requirements.
Training and certification are separate. Check the provider’s current exam and prerequisite requirements before booking.
Official certification details Details checked: 2026-10-26Learn by doing
Plan your practical learning
Discuss the exercises and environment appropriate to your course and delivery format.
Confirm your setup
Ask which accounts, tools, licences or equipment are needed before training starts.
Choose relevant scenarios
Tell our advisers about your work context so you can discuss suitable practical learning.
Check access periods
Confirm whether lab access is included and how long it remains available in your quotation.
Skills that move careers
AI operations
Develop production-oriented AI engineering skills.
Plan your next step
Discuss how this learning fits your responsibilities. Training does not guarantee employment or certification.
Learn with a Microsoft Certified Trainer
Build your understanding through course-focused explanations, practical demonstrations and interactive questions.
Keep your momentum
Your next learning step
Discuss a suitable follow-on course for your role and goals.
Apply your knowledge
Identify a workplace scenario where you can practise the concepts covered.
Keep skills current
Plan how to revisit learning as the platform and your responsibilities evolve.
Team learning plans
Explore a tailored learning pathway for colleagues with shared objectives.
A learning experience built around you
Explore focused topics, practical learning and the next step in your development.
Your course experience
Duration
Training format
Lab access
Learning outcomes
Related courses
Frequently asked questions
Answers about AI-300T00: Operationalize machine learning and generative AI solutions.
How long is AI-300T00?
4 days in the Microsoft course outline. Confirm delivery dates with our team.
Who should take AI-300T00?
AI operations practitioners: Data scientists, ML engineers and DevOps professionals.
Which topics does AI-300T00 cover?
AI infrastructure; Model lifecycle; Generative AI operations; Automation; Observability; Team collaboration.
What background is useful for AI-300T00?
Python, basic machine learning and familiarity with source control and CI/CD.
How can I book AI-300T00 training?
Use Enquire or the 1-on-1 SME option to discuss dates, delivery, pricing and your learning goals.