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Azure MLOps Engineer (AI-300)Azure MLOps course · classroom in Chennai & live online

Operationalise ML and GenAI on Azure and prepare for the AI-300 exam.

10 WeeksIntermediateProgramClassroom + Online⚡ Fast-track available
Request syllabus →Interview prep →
6modules
30lessons
6hands-on labs
64hours

What you'll learn in this Azure MLOps course

Use core Azure services with confidence
Build and evaluate machine learning models
Take models from notebook to production
Run LLM applications reliably in production
Run DevOps end to end on Azure
Walk into the Microsoft exam prepared

Who this Azure MLOps course is for

🛠️

IT professionals

Move up from support or operations roles.

💻

Developers & engineers

Add the next skill your team needs.

🎓

Graduates with basics

Turn foundations into job-ready skills.

✓ Basic IT or programming knowledge✓ Comfortable with computers and the command line✓ A laptop for hands-on labs

New to Azure MLOps? Our advisors can suggest the best starting point for your background.

What you'll build

Azure MLOps course syllabus

6 modules · 30 lessons · 6 major labs · 64 hours

01

Azure foundations

6 lessons · 1 lab
10 hrs+
  1. Subscriptions, resource groups and regions
  2. Microsoft Entra ID basics
  3. Virtual machines and App Service
  4. Storage accounts
  5. Virtual networks
  6. Pricing and governance
HANDS-ON LAB

Deploy a VM and storage with role-based access

02

Machine learning

5 lessons · 1 lab
14 hrs+
  1. Supervised and unsupervised learning
  2. Regression and classification
  3. Model evaluation
  4. Feature engineering
  5. scikit-learn pipelines
HANDS-ON LAB

Customer churn prediction model

03

MLOps

5 lessons · 1 lab
14 hrs+
  1. Experiment tracking with MLflow
  2. Training pipelines
  3. Model registry
  4. Model serving with FastAPI and KServe
  5. Monitoring and drift
HANDS-ON LAB

Train-to-serve pipeline with automatic retraining

04

LLMOps

5 lessons · 1 lab
8 hrs+
  1. Prompt versioning
  2. Evaluation suites
  3. Tracing and observability
  4. Guardrails
  5. Cost control
HANDS-ON LAB

Evaluation harness that scores every release

05

Azure DevOps

5 lessons · 1 lab
12 hrs+
  1. Azure Boards and Repos
  2. YAML pipelines
  3. Artifacts and environments
  4. Release strategies
  5. Infrastructure as code with Bicep
HANDS-ON LAB

Multi-stage YAML pipeline with approvals

06

Microsoft exam preparation

4 lessons · 1 lab
6 hrs+
  1. Skills measured and weighting
  2. Microsoft Learn paths and sandboxes
  3. Practice assessments
  4. Exam-day strategy
HANDS-ON LAB

Timed practice assessment with review

Your 10 weeks journey

WEEKS 1–2Azure foundations
WEEKS 3–4Machine learning
WEEKS 5–6MLOps
WEEK 7LLMOps
WEEKS 8–9Azure DevOps
WEEK 10Microsoft exam preparation

Azure MLOps tools you'll use

Azure PortalAzure CLIscikit-learnpandasMLflowFastAPIKServeDockerLangSmithLangfuseAzure DevOpsBicepGitHub ActionsMicrosoft Learn

Azure MLOps projects you'll build

PROJECT 01

Train-to-serve pipeline with automatic retraining

Hands-on project from the MLOps module.

PROJECT 02

Evaluation harness that scores every release

Hands-on project from the LLMOps module.

PROJECT 03

Multi-stage YAML pipeline with approvals

Hands-on project from the Azure DevOps module.

Azure MLOps course fees & batches in Chennai

Course fee

₹34,999 incl. GST

Save up to 15%: from ₹29,740. Ask an advisor about the offer for your batch.

Pay in full or in two instalments. Online learners outside India: see the fee in your currency on our worldwide page.

Get the fee & next batch →Ask on WhatsApp

What the fee includes

  • 64 hours of live, instructor-led classes
  • Hands-on labs and 3 portfolio projects
  • Session recordings for revision
  • 1:1 mentoring
  • Interview preparation: questions and mock tests
  • Placement assistance: resume reviews, mock interviews and referrals

Batches & mode

  • Weekday batches
  • Weekend batches for working professionals
  • Fast-track batches
  • Classroom at our Arumbakkam centre, Chennai
  • Live online from anywhere

Azure MLOps certification & exam cost

🎓
Certification this course prepares you for
Microsoft Machine Learning Operations Engineer Associate (AI-300)

The exam is booked directly with the certification provider, and its cost is set by the provider for your country. Our advisors share the current exam cost and help you plan the right exam date, with mock tests beforehand.

SOTT Academy certificate of completion (specimen)
Specimen for illustration only. Not a valid certificate. © SOTT Academy
Awarded on completion

SOTT certificate of completion

Every learner who completes the Azure MLOps course is awarded the SOTT Academy Certificate of Completion, with your name, the course, the date and a unique certificate number.

  • Awarded when you complete the course
  • Unique certificate number
  • Add it to your resume and LinkedIn profile

Azure MLOps jobs & career path

With placement assistance: resume and LinkedIn reviews, mock interviews, 1:1 mentoring and referrals to openings where available.

Step-by-step guide: MLOps Engineer career path

STEP 1ML EngineerTrain and ship models
STEP 2MLOps EngineerPipelines and serving
STEP 3Senior MLOps / LLMOpsReliability and evals
STEP 4ML Platform LeadPlatforms for teams
STEP 5AI Platform ArchitectStrategy and scale
Free with this course

Interview prep: 3 levels, mock tests and model answers

Practise the questions real interviewers ask, from fresher to lead.

Fresher · 0–3 yearsMid-level · 3–8 yearsExperienced · 8–15 years
Start practising →

Azure MLOps course FAQ

Who is the Azure MLOps Engineer (AI-300) course for?+
It is designed for IT professionals, developers & engineers and graduates with basics. Move up from support or operations roles.
Do I need prior experience?+
It helps to have basic IT or programming knowledge, comfortable with computers and the command line and a laptop for hands-on labs. Our advisors can review your background and suggest the best starting point for you.
How long is the Azure MLOps Engineer (AI-300) course?+
10 weeks, about 64 hours across 6 modules, with a hands-on lab in every module.
What does the Azure MLOps Engineer (AI-300) syllabus cover?+
The modules are: Azure foundations, Machine learning, MLOps, LLMOps, Azure DevOps and Microsoft exam preparation. The full lesson list is on this page.
Which tools and technologies will I use?+
Azure Portal, Azure CLI, scikit-learn, pandas, MLflow, FastAPI, KServe, Docker, LangSmith, Langfuse, Azure DevOps and Bicep.
What projects will I build?+
Train-to-serve pipeline with automatic retraining, Evaluation harness that scores every release and Multi-stage YAML pipeline with approvals. Your mentor reviews them, and you can show them in interviews.
Which certification does it prepare me for?+
Microsoft Machine Learning Operations Engineer Associate (AI-300). We guide your preparation, run practice tests and help you plan your exam; our advisors can share the current exam details.
Is it online or in the classroom?+
Both. Join us at our Arumbakkam centre in Chennai or live online from anywhere. Session recordings are shared with you for revision, so you can catch up if you miss a class.
Are there weekend and fast-track batches?+
Yes. We offer weekday, weekend and fast-track batches, so you can choose the schedule that suits you best.
What jobs can I apply for afterwards?+
Roles such as ML Engineer, MLOps Engineer, Senior MLOps / LLMOps and ML Platform Lead.
Is there interview preparation for Azure MLOps Engineer (AI-300)?+
Yes. Practise free interview questions and timed mock tests for fresher, mid-level and experienced roles on our Interview prep page.
Do you help with placements?+
Yes. Our placement assistance includes resume and LinkedIn reviews, mock interviews, 1:1 mentoring and referrals to openings where available, so you go into interviews well prepared.
Can I attend a free demo class first?+
Yes. Book a free consultation and our advisor will arrange a demo session for you.
What are the fee and payment options?+
Our advisors will share the current fee, upcoming batch dates and payment options for the batch that suits you.
I have another question. Who can I ask?+
Our advisors are happy to help. Call or WhatsApp us, or send a message from the Contact page, and we will get back to you within one working day.
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