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MLOps on Azure: From Data Science to Deployment Intermediate

MLOps on Azure: From Data Science to Deployment equips data scientists and machine learning engineers with skills to automate model lifecycle management, addressing the industry challenge where 87% of models never reach production. This course teaches CI/CD automation, infrastructure as code with Bicep, and model monitoring using Azure Machine Learning and GitHub Actions, aligning with real-world MLOps practices used by enterprises scaling AI solutions.

Prepare for the Microsoft Certified: Machine Learning Operations Engineer Associate (AI-300) exam with Koenig’s official vendor-authorized courseware and 30-day lab access. Gain hands-on expertise in deploying secure, scalable MLOps pipelines on Azure, enabling career advancement into high-demand roles with median salaries exceeding $134,000.

40 Hours (5 Days)
Live Online / Classroom
0+ professionals trained

Training Formats & Pricing

1-on-1 USD 3,510
Dedicated instructor, your schedule Fastest
Public Batch USD 2,700
Group class, fixed schedule Most Popular
Self-Paced On Request
Recorded sessions, learn anytime Best Value

100% Happiness Guarantee · Free Rescheduling · Secure Payment

Course Overview

The Microsoft course MLOps on Azure: From Data Science to Deployment prepares professionals for the DP-100 exam and the Microsoft Certified: Azure Data Scientist Associate certification, targeting roles such as MLOps Engineer and ML Platform Engineer. While core Azure administration skills covered in AZ-104 training provide the essential foundation for cloud infrastructure, this course focuses on the specialized automation required for machine learning workflows. Participants master Azure Machine Learning, GitHub Actions, Azure CLI, Bicep, and Azure AI Studio to build reproducible CI/CD pipelines that streamline model training, registration, and deployment within secure, scalable enterprise environments.

What You'll Learn

Architect scalable AI solutions by configuring Azure Machine Learning Workspaces and associated compute resources.
Provision secure data storage and access controls using Azure Data Lake Storage and Azure Role-Based Access Control (RBAC).
Orchestrate model training and evaluation cycles within Azure Machine Learning to optimize performance and deployment velocity.
Operationalize model deployment by containerizing assets in Azure Container Registry and deploying to Azure Kubernetes Service.
Automate end-to-end ML workflows by integrating Azure Pipelines with GitHub Actions to streamline continuous integration and delivery.
Monitor production model performance and trigger automated retraining pipelines using Azure Monitor and Azure Machine Learning endpoints.

Prerequisites

Recommended knowledge before taking this course
  • Proficiency in Python or R programming for data analysis and model development
  • Hands-on experience building and training machine learning models to solve real-world problems
  • Basic understanding of Azure Machine Learning concepts and services
  • Practical experience managing GitHub repositories and implementing version control
  • Knowledge of setting up and maintaining CI/CD pipelines with GitHub Actions
  • Intermediate familiarity with Azure services such as compute, storage, and networking for scalable ML deployment
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Certification Exam

Everything you need to know about the MLOps on Azure: From Data Science to Deployment certification exam

Exam Details
Exam Name
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Eligible for retake 24 hours after the first attempt; subsequent attempts follow official Microsoft certification retake guidelines
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MLOps on Azure: From Data Science to Deployment

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What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Career Outcomes

82%

of MLOps on Azure: From Data Science to Deployment certified professionals report career advancement within 6 months

Salary Impact

+28%

Average salary increase reported after obtaining the MLOps on Azure: From Data Science to Deployment certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

6
  • MLOps Engineer
  • AI Operations Engineer
  • Machine Learning Engineer
  • Cloud AI Engineer
  • Generative AI Engineer
  • ML Infrastructure Specialist

Companies Hiring

5,000+
Microsoft Accenture Deloitte Infosys Wipro TCS Goldman Sachs JP Morgan Capgemini Cognizant

and 5,000+ organizations worldwide seeking MLOps on Azure: From Data Science to Deployment certified professionals

Real Transformations

Course Student Reviews

Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.

18,400+
Verified Reviews
4.9 / 5
Average Rating
95%
Would Recommend
1M+
Professionals Trained
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified

Frequently Asked Questions

Everything you need to know about the MLOps on Azure: From Data Science to Deployment training course

Is the certification exam included in the course fee for MLOps on Azure: From Data Science to Deployment, and what is the exam fee if separate?
The certification exam is not included in the MLOps on Azure: From Data Science to Deployment course fee. The Microsoft Certified: Machine Learning Operations Engineer Associate (Exam AI-300) costs $165 USD, excluding local taxes. Candidates must register via Pearson VUE for this proctored assessment.
What training formats does Koenig offer for MLOps on Azure: From Data Science to Deployment, and do they include Guaranteed-to-Run scheduling?
Koenig provides live online, classroom, 1-on-1, and self-paced Flexi formats for MLOps on Azure: From Data Science to Deployment. All options include Guaranteed-to-Run scheduling, ensuring your training proceeds as planned even with one participant, providing reliable access to expert-led Microsoft instruction.
How long is lab access provided, and what type of environment is used for hands-on practice in MLOps on Azure: From Data Science to Deployment?
Lab access lasts 30 days using Microsoft-hosted cloud sandboxes via the LET Platform, requiring no Azure Pass. These secure environments enable hands-on practice of MLOps workflows, GitHub Actions, and Azure Machine Learning pipelines, reinforcing skills gained during this 40-hour Microsoft course.
What is Koenig's rescheduling and cancellation policy for MLOps on Azure: From Data Science to Deployment, and are there any fees?
Rescheduling is free with 10 days' notice; changes within 10 days incur a 50% fee. Per Koenig’s Terms of Service, sessions cannot be rescheduled more than once, ensuring consistent, Guaranteed-to-Run batch availability for all students pursuing this Microsoft MLOps on Azure certification.
What is the format, number of questions, passing score, and time limit for the Microsoft certification exam related to MLOps on Azure: From Data Science to Deployment?
Exam AI-300 is a 120-minute, proctored assessment with 40–60 questions, including interactive labs. A score of 700/1000 is required to pass. It validates expertise in MLOps infrastructure, model lifecycle management, and GenAIOps on Azure, available in English via Pearson VUE.
How long is the Microsoft certification earned through MLOps on Azure: From Data Science to Deployment valid, and what is the renewal process and cost?
The Microsoft Certified: Machine Learning Operations Engineer Associate credential is valid for 12 months. Renewal is free via an unproctored online assessment on Microsoft Learn. You must complete this renewal within six months of expiration to maintain your active status as an MLOps expert.
What post-training support does Koenig provide after completing MLOps on Azure: From Data Science to Deployment?
Koenig offers 30 days of post-training support, including instructor email access, 6 months of session recordings, and optional doubt-clearing sessions. You also receive official Microsoft courseware, practice tests, and a 30-day lab extension to maximize your success in the MLOps on Azure certification exam.
What prerequisites or recommended experience are needed before taking MLOps on Azure: From Data Science to Deployment?
Prerequisites include data science knowledge, Python proficiency, and DevOps experience with GitHub Actions. Familiarity with Azure Machine Learning, Bicep, and infrastructure-as-code is recommended. Microsoft suggests reviewing the AI-300 study guide and completing foundational Azure AI learning paths to ensure readiness for this course.
What is the average salary for professionals certified in MLOps on Azure, and how does it impact career growth?
Certified Microsoft Machine Learning Operations Engineer Associate professionals earn between $115,000 and $160,000 annually, with Principal roles reaching $284,000. This certification accelerates career progression into senior ML engineer or AI architect roles, typically within two to four years of achieving the MLOps on Azure designation.
How does instructor-led training for MLOps on Azure: From Data Science to Deployment compare to self-study in terms of success rate and skill retention?
Instructor-led training at Koenig provides real-time mentorship and hands-on labs, significantly boosting success rates compared to self-study. Our 40-hour MLOps on Azure: From Data Science to Deployment course ensures higher skill retention through expert guidance, Guaranteed-to-Run scheduling, and comprehensive support for your certification goals.
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