Microsoft Guaranteed-to-Run

Azure MLOps Advanced

The Azure MLOps course equips data scientists and machine learning engineers with skills to design, train, deploy, and monitor scalable ML solutions on Microsoft Azure, solving the critical pain point of unreliable model deployment and lack of production visibility. With 85% of AI projects failing to reach production (Gartner), this course delivers proven MLOps practices using Azure Machine Learning, MLflow, and DevOps automation to ensure consistent, auditable, and efficient model operations.

This training prepares learners for the Microsoft Machine Learning Operations (MLOps) Engineer Associate (AI-300) certification, validating expertise in automating model lifecycle management and GenAIOps. Koenig Solutions provides official vendor-authorized courseware and 30-day lab access, enabling hands-on practice with real-world scenarios. Graduates gain the skills to build robust, observable AI systems that drive enterprise innovation.

16 Hours (2 Days)
Live Online / Classroom
3+ professionals trained

Training Formats & Pricing

1-on-1 USD 1,560
Dedicated instructor, your schedule Fastest
Public Batch USD 1,200
Group class, fixed schedule Most Popular
Self-Paced USD 199
Recorded sessions, learn anytime Best Value

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Course Overview

The Microsoft Azure MLOps course (DP-100T01) equips data scientists, AI engineers, and machine learning operations specialists with the skills to design and implement scalable machine learning solutions on Azure. Aligned with the Microsoft Certified: Azure Data Scientist Associate certification (exam DP-100), this training targets professionals responsible for building production-ready ML workflows, managing model lifecycles, and optimizing AI applications. With 95% of Fortune 500 companies leveraging Azure for cloud workloads, expertise in Azure MLOps is in high demand across industries including healthcare, finance, and retail, where automated model deployment and monitoring are critical for operational efficiency.

Participants gain hands-on experience with core Azure services including Azure Machine Learning, MLflow, Azure AI Foundry, GitHub Actions, and Azure DevOps. Through structured labs in the Azure Portal, students configure compute instances, create automated training pipelines, and deploy models to online endpoints using CI/CD workflows. A key project involves building an end-to-end MLOps pipeline that uses GitHub Actions to trigger model retraining, register models in a shared registry, and promote validated models from development to production environments while implementing drift monitoring and rollback capabilities—mirroring real-world enterprise practices.

This course prepares learners for the DP-100 exam, a recognized credential in the AI and data science community that validates expertise in operationalizing machine learning on Azure. Certified professionals report average salary increases of up to 25%, with Azure Data Scientists earning median salaries exceeding $130,000 annually in North America. Koenig Solutions enhances preparation with Guaranteed-to-Run scheduling, official Microsoft courseware, and access to live labs, ensuring mastery of MLOps concepts. Completing this training empowers individuals to lead AI initiatives, improve model reliability, and advance into senior roles such as MLOps Engineer or AI Solution Architect.

What You'll Learn

Design a comprehensive Azure MLOps solution with Microsoft Azure Machine Learning to streamline your AI workflows
Configure MLflow within Azure Machine Learning for efficient model tracking and version control
Deploy models seamlessly to managed online endpoints in Azure for scalable and reliable serving
Automate hyperparameter tuning using Azure Machine Learning to optimize model accuracy and reduce development time
Implement retraining pipelines in Azure Machine Learning to ensure your models stay current and effective
Monitor model performance with the Responsible AI dashboard in Azure to maintain transparency, fairness, and compliance

Skills You'll Gain

Azure Machine Learning Workspace Azure ML Pipelines MLflow Tracking Hyperparameter Tuning Automated Machine Learning Model Registry Azure AI Foundry Feature Store Management Data Drift Detection Model Monitoring Azure Compute Targets GitHub Actions Integration Trunk-Based Development Responsible AI Dashboard Model Deployment Automation Azure AI Search MLOps Lifecycle Management

Prerequisites

Recommended knowledge before taking this course
  • Creating cloud resources in Microsoft Azure for Azure MLOps deployment
  • Using Python to explore and visualize data effectively for Azure MLOps projects
  • Training and validating machine learning models with Scikit-Learn, PyTorch, or TensorFlow in Azure MLOps workflows
  • Working with containers in Azure to streamline deployment of Azure MLOps solutions
  • AI-900T00: Microsoft Azure AI Fundamentals or equivalent experience to build foundational knowledge for Azure MLOps
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Certification Exam

Everything you need to know about the dp-100t01 certification exam

Exam Details
Exam Name
dp-100t01
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
First retake allowed after 24 hours; subsequent retakes require a 14-day wait period between attempts
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Azure MLOps

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Course Curriculum

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

1
Day 1– Master Azure MLOps Workspace Configuration
Provision your Azure MLOps workspace Map essential Azure ML resources Navigate the Azure ML studio interface Execute tasks via Azure ML Python SDK Leverage the Azure ML CLI efficiently Setup secure datastores and datasets Register enterprise data assets Master URI formats for data access
2
Day 2– Accelerate Azure MLOps Model Experimentation
Launch experiments in Azure MLOps Track metrics using MLflow notebooks Execute training via command jobs Log parameters with MLflow integration Deploy Automated Machine Learning (AutoML) Optimize data with AutoML featurization Analyze precise AutoML experiment results Benchmark critical model performance metrics
3
Day 3– Enhance Azure MLOps Training Performance
Configure sweep jobs for hyperparameters Define advanced hyperparameter search spaces Apply sampling for sweep job efficiency Implement early termination policy controls Train models on scalable compute clusters Manage high-performance compute instances Select optimal Azure MLOps compute targets Ensure reproducibility with environment configurations
4
Day 4– Govern Azure MLOps and Responsible AI
Register models in Azure MLOps registry Log MLflow models for version control Build the Responsible AI dashboard Evaluate fairness and mitigate model bias Interpret model decisions using SHAP Detect data drift over production time Audit model lineage and metadata Utilize curated and custom environments
5
Day 5– Deploy Azure MLOps Pipelines at Scale
Develop pipeline components and jobs Orchestrate end-to-end Azure MLOps pipelines Schedule automated production pipeline execution Deploy models to managed online endpoints Execute batch inference via model endpoints Monitor and test deployed production models Integrate GitHub Actions for CI/CD Automate workflows via code changes

What's Included in Your Training

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

Career Outcomes

88%

of dp-100t01 certified professionals report career advancement within 6 months

Salary Impact

+28%

Average salary increase reported after obtaining the dp-100t01 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
  • Azure MLOps Engineer
  • AI Operations Engineer
  • Machine Learning Engineer
  • GenAI Operations Specialist
  • AI Platform Engineer
  • Cloud ML Engineer

Companies Hiring

5,000+
Microsoft Accenture Deloitte Infosys Wipro Goldman Sachs JPMorgan Chase Capgemini Cognizant Booz Allen Hamilton

and 5,000+ organizations worldwide seeking dp-100t01 certified professionals

Meet Your Instructor

👤
Kuldeep Singh
6+
Years Exp.
5,000+
Students
4.9
Avg Rating

With an academic background in Computer Science and extensive experience in training corporate clients worldwide, I have developed strong expertise across a wide range of platforms and technologies, including Azure, CertNexus, Databricks, and AWS. I am well-versed in programming languages such as Python, Python for Machine Learning, R, Julia, and other object-oriented programming languages. I also hold multiple certifications, including DP-100, AI-102, AI-900, AZ-204, AZ-220, AZ-400, machine learning associate in Databricks and the AWS Machine Learning Specialty. Since the last few years I am also working with agentic AI technology where we can create agents specific to some task and also generic agents using GUI platform and also using code-based approach.

For the past five years, I have been associated with Koenig, where I have delivered high-quality training to clients across various industries. My industry exposure, technical proficiency, and passion for continuous learning enable me to consistently deliver results and contribute significant value to any organization.

 

Associated with Koenig since February 2020.


 

 

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 dp-100t01 training course

Is the DP-100 certification exam included in the Azure MLOps training, and what is the cost if purchased separately?
The DP-100 exam is not included in Microsoft Azure MLOps training and costs $165 USD separately. Koenig Solutions offers an optional exam voucher within the course package. Candidates schedule this proctored exam via Pearson VUE after finishing their training.
What training formats are available for the Azure MLOps course, and does Koenig offer Guaranteed-to-Run scheduling?
Koenig provides Azure MLOps training via live instructor-led, 1-on-1, and self-paced Flexi Video formats. We feature Guaranteed-to-Run scheduling to ensure sessions proceed as planned. The 32-hour course includes expert instruction with flexible timing options for all global participants.
How long is lab access provided for the Azure MLOps course, and what type of environment is used?
Azure MLOps lab access lasts 180 days using cloud-based Azure Cloud Slice environments. These hands-on labs remove the need for Azure Passes and allow 10 launches per lab. The sandboxed environment supports real-world practice with Azure Machine Learning and MLflow.
What is Koenig's rescheduling and cancellation policy for the Azure MLOps course?
Koenig allows free rescheduling for Azure MLOps training with prior notice, based on availability. Cancellations before the start date may incur a small administrative fee. Please contact your dedicated training advisor for specific terms regarding your booking type and region.
What is the format, number of questions, passing score, and time limit for the DP-100 exam?
The DP-100 exam includes 40–60 questions, such as multiple-choice and interactive labs, with a 100-minute limit. A score of 700 out of 1000 is required to pass. This proctored exam validates skills in designing machine learning solutions and model deployment on Azure.
How long is the Microsoft Certified: Azure Data Scientist Associate certification valid, and what is the renewal process?
The certification is valid for one year and requires annual renewal via a free Microsoft Learn assessment. Candidates must pass the renewal exam within six months of eligibility. The process uses unproctored, open-book questions covering updates to Azure Machine Learning services.
What post-training support does Koenig provide after completing the Azure MLOps course?
Koenig offers 180 days of post-training lab access, expert mentor support for questions, and community forums. Retake options for live sessions may be available under specific plans. Learners also receive guidance on official exam registration and professional career placement services.
What are the prerequisites or prior experience needed for the Azure MLOps course?
Candidates need experience with Python, machine learning concepts, and data science workflows. Familiarity with Azure Machine Learning and MLflow is recommended. The course assumes foundational knowledge in statistics and cloud computing to master MLOps practices within the Microsoft Azure ecosystem.
What career opportunities and salary ranges can professionals expect after earning the Azure MLOps certification?
Certified experts qualify for roles like Azure Data Scientist or MLOps Specialist, with salaries from $110,000 to $150,000 annually. This certification proves your ability to deploy scalable AI solutions, significantly boosting your career prospects within high-growth cloud AI industry domains.
How does instructor-led Azure MLOps training at Koenig compare to self-study options?
Instructor-led Azure MLOps training provides structured learning, expert guidance, and real-time feedback, unlike self-study. With 32 hours of live sessions and Guaranteed-to-Run scheduling, it ensures superior exam readiness. Self-study lacks the personalized mentorship and practical lab access provided by Koenig.
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