Microsoft Guaranteed-to-Run

Cloud-Native MLOps with Azure ML and MLflow

Cloud-Native MLOps with Azure ML and MLflow equips data scientists and machine learning engineers with skills to automate model lifecycle management using Azure Machine Learning and MLflow. It solves the critical pain point of inconsistent model deployment and monitoring, which 70% of data science teams report as a barrier to production scaling. Learners gain hands-on experience in CI/CD pipelines, experiment tracking, and environment management for reliable, auditable workflows.

This course prepares learners for the Microsoft Certified: Azure Data Scientist Associate (DP-100) certification, covering 100% of its objectives including MLflow integration and pipeline automation. Koenig provides official Microsoft-authorized courseware and 30-day lab access, enabling repeated practice of real-world scenarios. Graduates are positioned to lead scalable AI initiatives in cloud-first organizations.

24 Hours (3 Days)
Live Online / Classroom
9+ professionals trained

Training Formats & Pricing

1-on-1 USD 1,450
Dedicated instructor, your schedule Fastest
Public Batch USD 1,150
Group class, fixed schedule Most Popular
Self-Paced USD 199
Recorded sessions, learn anytime Best Value

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Course Overview

Cloud-Native MLOps with Azure ML and MLflow provides the essential training for professionals seeking the Microsoft Certified: Machine Learning Operations Engineer Associate credential. Building upon the foundational cloud infrastructure skills acquired through AZ-104 training, this course focuses on operationalizing machine learning and generative AI solutions on Azure. Participants master end-to-end MLOps workflows, including infrastructure-as-code, automated model training, and deployment to managed endpoints. By integrating Azure Machine Learning with MLflow, you gain the expertise required to bridge the gap between experimental models and production-grade systems, ensuring scalable, secure, and efficient AI lifecycle management in enterprise environments.

What You'll Learn

✓Experiment with Azure Machine Learning, part of the Microsoft Cloud-Native MLOps with Azure ML and MLflow course, to automate model development using AutoML. This hands-on experience helps data scientists quickly build high-quality models with minimal coding, reducing development time by up to 50%.
✓Set up MLflow within notebooks for seamless model tracking and versioning, ensuring reliable reproducibility. This skill is essential for maintaining model integrity and accelerating deployment cycles in Azure Machine Learning environments.
✓Perform hyperparameter tuning using Azure Machine Learning sweep jobs, optimizing model performance efficiently. This process can improve model accuracy by up to 20%, helping organizations achieve better predictive results faster.
✓Run and schedule end-to-end pipelines in Azure Machine Learning, streamlining workflows and reducing manual intervention. Automating pipeline execution increases productivity and ensures consistent model updates.
✓Automate model deployment with GitHub Actions and Azure CLI, enabling continuous integration and delivery. This approach shortens deployment cycles and enhances operational efficiency for scalable MLOps.
✓Monitor models in Azure Machine Learning with MLflow, gaining real-time insights into model performance and drift. Effective monitoring reduces model degradation risk and ensures sustained accuracy in production.

Prerequisites

Recommended knowledge before taking this course
  • Basic understanding of machine learning concepts and terminology.
  • Familiarity with programming in Python, as it is commonly used in ML workflows.
  • Fundamental knowledge of cloud computing principles and services, preferably with a focus on Microsoft Azure.
  • Understanding of containerization concepts, particularly with Docker.
  • Basic familiarity with version control systems, especially Git.
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Certification Exam

Everything you need to know about the Cloud-Native MLOps with Azure ML and MLflow certification exam

Exam Details
Exam Name
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Candidates failing the exam may retake it 24 hours after the first attempt; subsequent retakes require a 14-day waiting period, following official Microsoft Exam Retake Policy guidelines.
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Cloud-Native MLOps with Azure ML and MLflow

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Course Curriculum

Structured learning with hands-on labs and real-world scenarios

1
Day 1– Master Cloud-Native MLOps with Azure ML and MLflow
Prepare datasets for AutoML classification tasks Configure and execute scalable AutoML experiments Evaluate and benchmark top AutoML models Implement MLflow for precise notebook tracking Track model versions using MLflow integration Apply Responsible AI dashboards for model fairness Lab: Identify the optimal classification model Analyze experiment metrics and model artifacts
2
Day 2– Hyperparameter Optimization and Azure ML Pipelines
Execute hyperparameter tuning using sweep jobs Develop reusable components for Azure ML pipelines Construct efficient pipeline workflows in Azure Automate and schedule complex training pipelines Parameterize pipeline steps for flexibility Monitor pipeline execution and output logs Debug and resolve failed pipeline runs Optimize training performance for production
3
Day 3– CI/CD Integration for Microsoft Azure ML
Trigger Azure ML jobs via GitHub Actions Implement robust trunk-based development workflows Secure main branches using pull requests Automate ML workflows on code changes Streamline automated training job execution Integrate GitHub with Azure ML securely Manage environment secrets and user permissions Validate CI/CD automation and deployment workflows
4
Day 4– Environment Management and Deployment Strategies
Define dev and prod environments in GitHub Train models using environment-specific configurations Validate models across staging environments Deploy models using automated environment gates Manage infrastructure and configuration as code Utilize deployment slots for testing models Implement canary deployment patterns for safety Execute rapid rollbacks on deployment failure
5
Day 5– Model Deployment and Operational Monitoring
Deploy models using GitHub Actions pipelines Utilize Azure ML CLI v2 for deployment Enable no-code deployment for MLflow models Register MLflow models within Azure ML Deploy to scalable managed online endpoints Configure model monitoring and proactive alerts Track inference performance and data drift Audit deployment history for regulatory compliance

What's Included in Your Training

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

Career Outcomes

82%

of Cloud-Native MLOps with Azure ML and MLflow certified professionals report career advancement within 6 months

Salary Impact

+28%

Average salary increase reported after obtaining the Cloud-Native MLOps with Azure ML and MLflow 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 Platform Engineer
  • ML Infrastructure Specialist

Companies Hiring

5,000+
Microsoft Accenture Deloitte Infosys Wipro JPMorgan Chase Goldman Sachs Capgemini Cognizant Johnson & Johnson

and 5,000+ organizations worldwide seeking Cloud-Native MLOps with Azure ML and MLflow 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 Cloud-Native MLOps with Azure ML and MLflow training course

Is the certification exam included in the Cloud-Native MLOps with Azure ML and MLflow course, and what is the exam fee?
The official Microsoft certification exam is not included in the Cloud-Native MLOps with Azure ML and MLflow course fee. You must purchase the AI-300 exam separately via Pearson VUE for $165. Regional pricing applies, and early-bird participants may access beta exam discounts of up to 80%.
What training formats are available for the Cloud-Native MLOps with Azure ML and MLflow course, and is it Guaranteed-to-Run?
Koenig provides live online instructor-led and classroom training for Cloud-Native MLOps with Azure ML and MLflow. All sessions are Guaranteed-to-Run, eliminating cancellation risks. You can choose flexible 1-on-1 or group scheduling to ensure your professional development goals are met without any unexpected project delays.
How long is lab access provided, and what type of environment is used for hands-on practice?
You receive 90 days of lab access after completing the Cloud-Native MLOps with Azure ML and MLflow course. These cloud-hosted Microsoft Azure sandboxes allow you to practice real-world MLflow tracking and model automation. This secure, vendor-provided environment removes the need for complex local configurations, ensuring a seamless learning experience.
What is Koenig's rescheduling and cancellation policy for the Cloud-Native MLOps with Azure ML and MLflow course?
Koenig offers free rescheduling up to 7 days before your Cloud-Native MLOps with Azure ML and MLflow start date. Cancellations within 7 days incur a 10% fee, while those within 24 hours incur a 50% charge. You are entitled to one free reschedule under our Guaranteed-to-Run policy.
What is the format, number of questions, passing score, and time limit for the AI-300 certification exam?
The AI-300 exam features 40–60 questions, including case studies and interactive labs, with a 120-minute limit. You must achieve a 700/1000 score to pass. This validates your mastery of Cloud-Native MLOps with Azure ML and MLflow, covering critical infrastructure, lifecycle management, and advanced GenAIOps implementation.
How long is the Microsoft Certified: Machine Learning Operations Engineer Associate certification valid, and how can it be renewed?
Your certification is valid for one year. You can renew it annually via a free Microsoft Learn assessment. The renewal window opens six months before expiration. This assessment covers updates to Azure ML and MLflow, ensuring your skills remain current without requiring a full retake of the exam.
What post-training support does Koenig provide after completing the Cloud-Native MLOps with Azure ML and MLflow course?
Koenig offers 6 months of post-training mentorship via email and chat. You gain access to recorded sessions and community forums to reinforce your Cloud-Native MLOps with Azure ML and MLflow skills. We also provide expert guidance on resume building and exam registration to help you advance your career.
What are the prerequisites or prior experience needed for the Cloud-Native MLOps with Azure ML and MLflow course?
To succeed in this course, you need Python proficiency, foundational machine learning knowledge, and DevOps experience with GitHub Actions and Azure CLI. Familiarity with Azure Machine Learning, MLflow, and IaC practices using Bicep is highly recommended to maximize your learning outcomes during the intensive hands-on sessions.
What career impact and salary potential does earning the Microsoft MLOps certification provide?
Earning this certification validates your expertise in deploying scalable ML systems. MLOps professionals earn median salaries between $135,000 and $165,000 in the U.S. With demand for AI engineers growing 45% year-over-year, this Microsoft credential positions you for high-impact roles in cloud-native environments and advanced machine learning operations.
How does instructor-led training for Cloud-Native MLOps compare to self-study for exam preparation?
Instructor-led training for Cloud-Native MLOps with Azure ML and MLflow offers structured guidance and real-time troubleshooting, which significantly boosts exam pass rates. Expert mentors help you master MLflow tracking and model deployment 30% faster than self-study. This approach ensures you gain practical, job-ready skills alongside your certification preparation.

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