Microsoft Guaranteed-to-Run

AI-300T00: Operationalize machine learning and generative AI solutions

The AI-300T00: Operationalize machine learning and generative AI solutions course equips AI engineers, data scientists, and DevOps professionals with skills to design and implement MLOps and GenAIOps on Azure, solving the critical industry challenge of deploying unreliable AI models—78% of enterprises report failed AI deployments due to poor operationalization. Learners gain hands-on experience in automating model lifecycle management, securing AI infrastructure, and monitoring generative AI applications using Azure Machine Learning and Microsoft Foundry.

This course prepares for the Microsoft Certified: Machine Learning Operations Engineer Associate certification, featuring official vendor-authorized courseware and Koenig’s Guaranteed-to-Run scheduling. With 30-day lab access, learners reinforce skills to deploy production-ready AI systems, positioning them for roles with average salaries exceeding $145,000 annually in North America.

32 Hours (4 Days)
Live Online / Classroom
1,337+ professionals trained

Training Formats & Pricing

1-on-1 USD 1,850
Dedicated instructor, your schedule Fastest
Public Batch USD 1,450
Group class, fixed schedule Most Popular
Self-Paced USD 199
Recorded sessions, learn anytime Best Value

100% Happiness Guarantee · Free Rescheduling · Secure Payment

Course Overview

The Microsoft course AI-300T00: Operationalize machine learning and generative AI solutions is designed for data scientists, AI engineers, and DevOps professionals aiming to build and manage production-grade AI systems on Azure. This intermediate-level training aligns with the skills measured in Exam AI-300 and prepares learners for the Microsoft Certified: Machine Learning Operations Engineer Associate certification. As demand for reliable AI operations grows—evidenced by 78% of enterprises adopting MLOps practices according to Microsoft’s 2024 AI Adoption Report—this course equips technical professionals with critical competencies in automation, model lifecycle management, and GenAIOps governance.

Participants gain hands-on experience using core Azure tools including Azure Machine Learning, Microsoft Foundry, GitHub Actions, Bicep, Azure CLI, and MLflow within the Azure Portal lab environment. Students configure infrastructure as code (IaC) to deploy secure, scalable AI workspaces and automate CI/CD pipelines for machine learning models. A key project involves building an end-to-end MLOps pipeline that registers, versions, and deploys a trained model as a real-time endpoint while implementing monitoring and responsible AI evaluation. Through these labs, learners practice orchestrating distributed training jobs, managing model registries, and optimizing generative AI applications for performance and reliability in enterprise settings.

By completing AI-300T00: Operationalize machine learning and generative AI solutions, candidates position themselves for roles such as MLOps Engineer and Generative AI Operations Specialist, with certified professionals reporting average salary increases of up to 25%. Koenig Solutions supports this journey with Guaranteed-to-Run batches, official Microsoft courseware, and access to expert-led, 1-on-1 training sessions. As organizations increasingly invest in trustworthy AI deployment, mastering AIOps through this vendor-aligned curriculum enables engineers to lead initiatives that bring scalable, auditable, and high-performing AI solutions into production.

What You'll Learn

Design a secure MLOps infrastructure on Azure to ensure data protection and compliance in machine learning projects
Implement infrastructure as code with Bicep and Azure CLI to streamline deployment and reduce manual errors
Automate model training processes using Azure Machine Learning pipelines to accelerate development cycles
Deploy machine learning models efficiently with GitHub Actions integrated with Azure Machine Learning for continuous delivery
Evaluate generative AI applications in Microsoft Foundry to enhance creativity and productivity in AI solutions
Monitor and trace generative AI applications with advanced observability tools to ensure performance and reliability

Prerequisites

Recommended knowledge before taking this course
  • Proficiency in Python programming with data science libraries such as Pandas, NumPy, and Scikit-learn is required for the AI-102: Designing and Implementing a Microsoft Azure AI Solution curriculum.
  • A solid grasp of machine learning concepts, including model training, evaluation, and the end-to-end model lifecycle, is essential for operationalizing solutions.
  • Experience with DevOps practices, including version control with Git, workflow automation using GitHub Actions, and proficiency with the Azure CLI, is necessary for managing deployment pipelines.
  • Familiarity with infrastructure as code using Bicep templates is required to automate and manage the provisioning of Azure AI resources.
  • Active access to an Azure subscription with permissions to create and manage Azure Machine Learning workspaces and Azure AI Foundry services is mandatory for hands-on labs.
  • Understanding generative AI fundamentals, specifically prompt engineering techniques and retrieval-augmented generation (RAG) patterns, is required to implement advanced AI applications according to Microsoft standards.
Corporate Training
Get a Corporate Quote

Volume discounts · Dedicated account manager · Custom scheduling

Certification Exam

Everything you need to know about the AI-300 certification exam

Exam Details
Exam Name
AI-300
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
After a failed attempt at the AI-300T00 certification, you must wait 24 hours to retest. Subsequent attempts require a 14-day interval, with a maximum of five attempts annually.
Let's Talk

Request for more information

AI-300T00: Operationalize machine learning and generative AI solutions

We'll respond within 1 business day · No spam, ever.

What's Included in Your Training

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

Career Outcomes

85%

of AI-300 certified professionals report career advancement within 6 months

Salary Impact

+28%

Average salary increase reported after obtaining the AI-300 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 Engineer
  • Generative AI Engineer
  • Machine Learning Platform Engineer
  • AI Operations Specialist
  • Cloud AI Solutions Architect

Companies Hiring

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

and 5,000+ organizations worldwide seeking AI-300 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 AI-300 training course

Is the certification exam included in the AI-300T00: Operationalize machine learning and generative AI solutions course, and what is the fee?
The certification exam is not included in the AI-300T00: Operationalize machine learning and generative AI solutions course and requires separate purchase. The Microsoft AI-300 exam fee is $165 USD, though regional pricing applies. Candidates schedule their proctored assessment via Pearson VUE.
What training formats does Koenig offer for AI-300T00: Operationalize machine learning and generative AI solutions, and is it Guaranteed-to-Run?
Koenig provides live online, 1-on-1, classroom, and self-paced formats for AI-300T00: Operationalize machine learning and generative AI solutions. All public batches are Guaranteed-to-Run, ensuring sessions proceed even with one student, preventing cancellations due to low enrollment.
How long is lab access provided after completing AI-300T00: Operationalize machine learning and generative AI solutions, and what environment is used?
Students receive 30 days of post-course access to a cloud-based sandbox on Azure. This secure environment features Azure Machine Learning and Microsoft Foundry tools, allowing hands-on practice for AI-300T00: Operationalize machine learning and generative AI solutions without local setup.
What is Koenig's rescheduling and cancellation policy for the AI-300T00: Operationalize machine learning and generative AI solutions course?
Koenig allows free rescheduling for AI-300T00: Operationalize machine learning and generative AI solutions with 10 days' notice. Changes within 10 days incur a 50% fee. Cancellations made 10+ days prior are fully refundable, ensuring flexible, reliable training schedules.
What is the format, question count, and passing score for the AI-300 certification exam?
The AI-300 exam features 40–60 questions, including case studies and drag-and-drop tasks, with a 120-minute limit. A score of 700/1000 is required to pass. It validates expertise in MLOps and GenAIOps implementation on Azure platforms.
How long is the Microsoft Certified: Machine Learning Operations Engineer Associate certification valid, and what is the renewal process?
The certification remains valid for one year. Renewal requires a free, unproctored assessment on Microsoft Learn. Candidates must complete this open-book evaluation six months before expiration to maintain their active status at no additional cost.
What post-training support does Koenig provide after finishing AI-300T00: Operationalize machine learning and generative AI solutions?
Koenig offers 30 days of support, including expert mentor access, session recordings, and practice questions. Students also receive one free course retake within six months to master MLOps and GenAIOps skills taught in AI-300T00: Operationalize machine learning and generative AI solutions.
What prerequisites are recommended for the AI-300T00: Operationalize machine learning and generative AI solutions course?
Success in AI-300T00: Operationalize machine learning and generative AI solutions requires intermediate Python skills, machine learning fundamentals, and DevOps experience. Proficiency with source control, CI/CD pipelines, and tools like Azure CLI and GitHub Actions is highly recommended.
What salary increase or career advancement can professionals expect after earning the AI-300 certification?
Professionals with the AI-300 certification earn between $135,000 and $165,000 annually, reflecting high demand for MLOps and GenAIOps skills. Career paths include roles like AI Engineer, Machine Learning Ops Lead, and Cloud AI Architect.
How does instructor-led AI-300T00: Operationalize machine learning and generative AI solutions training compare to self-study?
Instructor-led AI-300T00: Operationalize machine learning and generative AI solutions training yields higher pass rates through structured learning and real-time expert feedback. Koenig combines official Microsoft content with practical labs, significantly outperforming independent study using free modules.
100%

Happiness Guarantee

We are so confident in the quality of our training that we offer a full money-back guarantee. Not satisfied? Contact us within 24 hours of your first session — we'll refund you completely, no questions asked.

Full Refund

Within 24 hours

No Questions

Asked ever

Secure Payment

Encrypted checkout

PCI DSS

Compliant