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AI-300 Microsoft Certified Machine Learning Operations Engineer Associate Exam Prep

Sessions 4 days
Duration 30 hrs
Level Beginner
Assessment NA

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

Certificate of Achievement from Tertiary Infotech Academy Pte Ltd - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Achievement from Tertiary Infotech Academy Pte Ltd.

We are an Authorised Microsoft Learning Partner (Org ID: 5238476). To get the official Microsoft certification, please register your certification exam at a Pearson VUE test center.

AI-300 Microsoft Certified Machine Learning Operations Engineer Associate Exam Prep

Course Code: C1762

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AI-300 Microsoft Certified Machine Learning Operations Engineer Associate Exam Prep equips you with the knowledge and skills to set up and operate machine learning operations (MLOps) and generative AI operations (GenAIOps) on Microsoft Azure, and prepares you for the AI-300 certification exam. MLOps engineers bring discipline to how models are built, deployed, monitored and improved, so AI solutions stay reliable, secure and cost-effective in production. The course is designed for ML engineers, data scientists, DevOps engineers and AI platform engineers.

You will start by designing and implementing an MLOps infrastructure, setting up Azure Machine Learning workspaces, compute, data assets, environments and source control, and automating with CI/CD pipelines. Next you will implement the machine learning model lifecycle and operations, including training pipelines, experiment tracking, model registration, deployment to managed endpoints, and monitoring for performance and data drift. You will then design and implement a GenAIOps infrastructure for generative AI applications using Microsoft Foundry.

The course continues with operating generative AI solutions, covering prompt and model versioning, evaluation of quality, groundedness and safety, content filtering, tracing, cost management and continuous improvement in production. Each topic combines explanation, hands-on labs and exam-style practice questions mapped to the official skills outline. By the end, you will be able to run robust MLOps and GenAIOps practices on Azure and be well prepared to pass the AI-300 exam.

Get exam-ready on our Practice Exam Portal — train in realistic Practice Mode and timed Exam Mode, then retake them as many times as you like before the real exam.

Start Practising →

No funding is available for this course

Course Fee

$1,400.00 (GST-exclusive)

$1,526.00 (GST-inclusive)

Mode of Training

Physical Classroom Training
Synchronised Teaching using ZOOM
Corporate Training at Company Premise

Course Date * Course Date

Include Exam Voucher *

No
Yes +$120.00

Course Time * Course Time: No. of Participants

Sponsorship *

Self-Sponsored
Employer-Sponsored

Name(s) on Certificate *

Additional Message or Emails for Course Notification

* Required Fields

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

We provide free consultation related to the subject matter after the course.
Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Topic 1: Design and Implement an MLOps Infrastructure

Topic 2: Implement Machine Learning Model Lifecycle and Operations

Topic 3: Design and Implement a GenAIOps Infrastructure

Topic 4: Implement Generative AI Quality Assurance and Observability

Topic 5: Optimize Generative AI Systems and Model Performance

Course Info

Minimum Entry Requirement

Knowledge and Skills

Able to operate using computer functions
Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

Positive Learning Attitude
Enthusiastic Learner

Experience

Minimum of 1 year of working experience.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

You will need the following for this course:

A free Microsoft Azure account – a credit card is required for identity verification

Hardware: Windows PC or Mac laptop

Job Roles

Dynamics 365 Business Central Developer
ERP Developer
Business Systems Consultant
Dynamics 365 Administrator
Systems Integration Specialist
Power Apps Developer
Power Automate Specialist
ERP Implementation Consultant
Financial Systems Analyst
Warehouse Management Specialist
Supply Chain Management Specialist
IT Project Manager
Data Analyst for Business Central
Business Intelligence Developer
Reporting Specialist
Dynamics 365 Functional Consultant
Procurement and Inventory Specialist
Business Process Automation Specialist
Dynamics 365 Security Administrator
Technical Support Engineer

Trainers

Sanjiv i is an ACTA certified experienced leader with a proven track record in business / finance consulting and in developing i) business intelligence (BI) solutions ii) data analytics/analysis solutions and iii) IOT lead BI solutions. Sanjiv's goal through Prudentia Consulting, is to promote the simple joy and excitement of actively using the Microsoft Platform. He believes that the agility afforded by the Microsoft platform helps businesses get time back for deeper business thinking and to spend more time with their end customers Sanjiv has rich experiences in diverse/complex high-tech businesses, turn around environments and strategic transformations. His functional expertise is in sales analytics, financial planning and analysis, engineering and program management. He has worked across discrete manufacturing, professional services and higher education verticals. He also has a working knowledge of equities portfolio management within the financial services domain.Sanjiv is the CEO of Prudentia Consulting, an organization committed to promoting the active usage of the Microsoft Platform. Prior to this, he has worked at Microsoft (US & APAC: 9.2 years), Cognizant Tech Solutions (3.3 years), Yazaki North America (8 years) and until recently at Oracle. Here are a few of his BI/analytics projects driven at scale: Built APAC wide BI dashboard using the Power BI umbrella tool set (Power BI online, Power BI desktop and Power Pivot) and a KPI lake (SQL DB), Helped develop key KPIs – identified key KPIs and helped land this in the DB, Developed a budget audit tool that captured budget inputs from a host of countries across the globe, Developed a business unit P&L reporting tool (functional architecture) in Business Objects for the world-wide financial planning and analysis team.

Anil is a ACLP certified trainer. He is an Enterprise Cloud and DevOps Consultant , responsible for helping clients to move Virtual data centre to Private Cloud based on OpenStack and Public Cloud ( AWS, Azure and Google cloud) . Consulting and training experience on Devops tool chain like github , Jenkins, Sonarqube, Docker & kubernetes, Cloud foundry, Openshift, Ansible and SaltStack. Lot of my Role is involved design and implementation of a solution and training.

Ajay is a ACLP certied trainer. Ajay is a vendor neutral cloud consultant and training expert on Cloud , with several Private cloud deployments in India and cloud migration knowledge .He is a Cloud and DevOps enthusiast with consulting, deployment and training expertise on OpenStack, AWS, Google Cloud ,Azure, Jenkins, and Docker Ajay has 18 + years Industry experience as IT entrepreneur and 9 years in Cloud and Devops technical consulting, implementation and training area, currently working in capacity of Vice President – Cloud and Devops services handling singapore and India.