Microsoft Certified: MLOps Engineer Associate (AI-300)
Exam
Exam fees included
Course code
msmlopsea
Course pricing varies based on delivery method and location.
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What youâll learn
On this Microsoft Certified: MLOps Engineer Associate (AI-300) course, youâll gain an understanding of how to design, implement, and operate Machine Learning Operations (MLOps) and Generative AI Operations (GenAIOps) solutions on Azure.
The course 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, and observability by using tools such as GitHub Actions, Azure CLI, and Bicep. The course emphasizes collaboration with data science and DevOps teams to deliver reliable, production-ready AI systems aligned with modern MLOps and GenAIOps best practices.
At Firebrand, we are one of the few companies in the world to be designated a Microsoft Cloud Partner. Through our Lecture | Lab | Review method, youâll access official courseware, learn from certified instructors, and train in a distraction-free environment.
Audience
This course is ideal for:
Data Scientists, Machine Learning Engineers, and DevOps professionals who want to design and operate production-grade AI solutions on Azure
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
Curriculum
Learning Path 1: Operationalize machine learning models (MLOps)
Module 1: Experiment with Azure Machine Learning
Module 2: Perform hyperparameter tuning with Azure Machine Learning
Module 3: Run pipelines in Azure Machine Learning
Module 4: Trigger Azure Machine Learning jobs with GitHub Actions
Module 5: Trigger GitHub Actions with feature-based development
Module 6: Work with environments in GitHub Actions
Module 7: Deploy a model with GitHub Actions
Learning Path 2: Operationalize generative AI applications (GenAIOps)
Module 1: Plan and prepare a GenAIOps solution
Module 2: Manage prompts for agents in Microsoft Foundry with GitHub
Module 3: Evaluate and optimize AI agents through structured experiments
Module 4: Automate AI evaluations with Microsoft Foundry and GitHub Actions
Module 5: Monitor your generative AI application
Module 6: Analyze and debug your generative AI app with tracing
Prerequisites
Before attending this course, you should have:
Programming experience with Python or R Experience developing and training machine learning models
Familiarity with basic Azure Machine Learning concepts
Familiarity with fundamental generative AI concepts and services in Azure
Consider completing the Microsoft Azure AI Fundamentals: Generative AI learning path first
Exam info
At the end of this course, youâll sit the official Microsoft AI-300 exam, covered by the Firebrand Certification Guarantee.
Exam AI-300: Operationalizing Machine Learning and Generative AI Solutions
Domains:
Design and implement an MLOps infrastructure (15â20%)
Implement machine learning model lifecycle and operations (25â30%)
Design and implement a GenAIOps infrastructure (20â25%)
Implement generative AI quality assurance and observability (10â15%)
Optimize generative AI systems and model performance (10â15%)â
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Yes, we do provide courses suitable for beginners. However, Firebrand's accelerated courses aren't easy and it's essential that you are interested and actively pursuing a career in IT.
Traditional training providers usually run their courses from 9am to 5pm. At Firebrand Training we maximise the number of learning hours to minimise the number of training days, so youâll be back to your job as quickly as possible. You donât waste time travelling to several courses and finding an exam centre after that.
Firebrand's accelerated courses are constantly reviewed. We ask our delegates for feedback after every course. We are official partners with leading vendors and therefore, we're provided with certification changes and updates, which we can then implement in our course delivery at a very early stage. This feedback is then analysed in view of changes or discrepancies. We will then address the topics mentioned and have a panel of subject matter experts provide us with valuable suggestions for improvement and solutions.
If you need to learn new skills and you want to be able to put them into practice quickly, then Firebrand is the right training company for you.
Our unique accelerated training method means that we are your fastest way to learn. By delivering training for up to 12 hours per day, seven days per week, with exam centres on-site, we ensure that you are trained and certified quicker than anywhere else, having spent less time out of the office away from the day job.
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