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MLOps Enablement with Red Hat AI Enterprise (AI500)

MLOps Enablement with Red Hat AI Enterprise (AI500) equips data scientists, machine learning engineers, and platform architects with proven open-source MLOps practices to break down silos and accelerate model deployment. Only 14% of enterprises have successfully scaled AI, according to Red Hat, due to fragmented workflows—this immersive course bridges that gap through hands-on collaboration on Red Hat OpenShift AI and GitOps, simulating real-world team alignment from ideation to production.

This course prepares learners for Red Hat Certified Specialist in AI and Machine Learning, leveraging Koenig’s official vendor-authorized courseware and 30-day lab access. Graduates gain a shared MLOps culture, enabling faster, secure, and compliant AI innovation across their organizations.

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

Training Formats & Pricing

1-on-1 On Request
Dedicated instructor, your schedule
Available in all languages
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Group class, fixed schedule
Available in all languages
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Course Overview

MLOps Enablement with Red Hat AI Enterprise (AI500) is a five-day immersive course by Red Hat designed to equip technical and operational teams with the skills to implement successful MLOps adoption. While not tied to a specific certification exam, this course is essential for data scientists, machine learning engineers, MLOps engineers, platform engineers, architects, and IT managers seeking to bridge organizational silos in AI deployment. With 94% market demand for MLOps specialists in 2025, this training addresses a critical industry need, preparing cross-functional teams to collaborate effectively on AI initiatives and accelerate model deployment in enterprise environments.

Participants gain hands-on experience with key Red Hat technologies including Red Hat OpenShift AI, Red Hat OpenShift GitOps, and Predictive AI, within a lab environment built on OpenShift. Students configure a full MLOps workflow, building automated training pipelines, implementing data versioning with Feast feature stores, and deploying models using MinIO for storage and Gitea for source control. The course culminates in a real-world project where teams take a predictive intelligent application from ideation through inner-loop experimentation to production, applying canary and blue-green deployment patterns while integrating monitoring and security guardrails.

This course prepares professionals to lead AI transformation initiatives using open-source solutions, enhancing career prospects in a high-demand field. MLOps engineers command total compensation between $175,000 and $340,000, reflecting the role's strategic importance. Koenig Solutions supports this learning with official Red Hat courseware and Guaranteed-to-Run scheduling, ensuring uninterrupted access to training. Upon completion, participants are equipped to drive innovation, streamline model deployment, and contribute to their organization's AI-driven success in an evolving technological landscape.

What You'll Learn

Apply MLOps principles to streamline model deployment with Red Hat AI Enterprise (AI500), enabling faster and more reliable AI solution delivery.
Configure Red Hat OpenShift AI for efficient inner loop experimentation, accelerating model development cycles and reducing time-to-market.
Implement training pipelines using Red Hat OpenShift GitOps, ensuring consistent, automated, and scalable machine learning workflows.
Deploy models with advanced Red Hat AI Enterprise patterns, enhancing deployment reliability and operational efficiency.
Monitor machine learning workflows in Red Hat OpenShift, gaining real-time insights to optimize performance and troubleshoot issues quickly.
Secure MLOps environments with automated Red Hat guardrails, protecting data and models while maintaining compliance and governance.

Skills You'll Gain

MLOps Principles Red Hat OpenShift AI Red Hat OpenShift GitOps Model Deployment Experiment Tracking Training Pipelines Continuous Training Model Monitoring Data Versioning Feature Stores Canary Deployments Blue-Green Deployments Autoscaling Security Guardrails Predictive AI Kubernetes Container Orchestration

Prerequisites

Recommended knowledge before taking this course
  • Foundational knowledge of MLOps and GenAIOps lifecycles, including model training, evaluation, and deployment pipelines.
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MLOps Enablement with Red Hat AI Enterprise (AI500)

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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 AI500 certified professionals report career advancement within 6 months

Salary Impact

+28%

Average salary increase reported after obtaining the AI500 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
  • Machine Learning Engineer
  • AI Platform Engineer
  • MLOps Platform Architect
  • Senior MLOps Engineer
  • AI Operations Lead

Companies Hiring

5,000+
Red Hat IBM Accenture Deloitte Capgemini Wipro TCS Infosys Goldman Sachs JP Morgan

and 5,000+ organizations worldwide seeking AI500 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 AI500 training course

Is the certification exam included in the MLOps Enablement with Red Hat AI Enterprise (AI500) course, and what is the exam fee if separate?
The certification exam is not included in the MLOps Enablement with Red Hat AI Enterprise (AI500) course. Koenig offers an optional exam voucher for the Red Hat Certified Specialist in OpenShift AI (EX267) for $400 USD. Candidates must register for the EX267 exam separately, as AI500 is a specialized training course focused on MLOps practices.
What training formats does Koenig offer for MLOps Enablement with Red Hat AI Enterprise (AI500), and is there a Guaranteed-to-Run schedule?
Koenig delivers MLOps Enablement with Red Hat AI Enterprise (AI500) via live online, 1-on-1, classroom, and self-paced Flexi formats. All public batches are Guaranteed-to-Run, ensuring sessions proceed regardless of enrollment size. This provides reliable, expert-led training using official Red Hat courseware, allowing flexible, interactive learning with real-time lab access from any location.
How long is lab access provided for the MLOps Enablement with Red Hat AI Enterprise (AI500) course, and what environment is used?
Koenig provides 30 days of lab access for MLOps Enablement with Red Hat AI Enterprise (AI500) through its cloud-based LET Platform. Labs utilize a vendor-hosted environment featuring Red Hat OpenShift AI, OpenShift GitOps, and Predictive AI. This setup simulates real-world MLOps workflows, enabling hands-on practice with continuous delivery pipelines within a secure, performance-based, sandboxed cloud environment.
What is Koenig's rescheduling and cancellation policy for the MLOps Enablement with Red Hat AI Enterprise (AI500) course?
Koenig permits free rescheduling of MLOps Enablement with Red Hat AI Enterprise (AI500) if requested 10+ days before the start date. Changes within 10 days incur a 50% fee. Cancellations with under 14 days' notice are non-refundable per standard terms. Guaranteed-to-Run batches eliminate course cancellations due to low enrollment, ensuring your training schedule remains stable.
What is the format, number of questions, passing score, and time limit for the Red Hat Certified Specialist in OpenShift AI (EX267) exam associated with this course?
The EX267 exam is a performance-based test with a 3-hour time limit. It requires candidates to complete real-world tasks on Red Hat OpenShift AI and OpenShift Container Platform. There are no multiple-choice questions; instead, it evaluates hands-on deployment and management skills. There is no published passing score, and results are delivered as pass/fail within 3 business days.
How long is the Red Hat Certified Specialist in OpenShift AI certification valid, and what is the renewal process and cost?
The Red Hat Certified Specialist in OpenShift AI certification is valid for 3 years. To renew, candidates must retake and pass the EX267 exam, which costs $400 USD. Red Hat does not provide alternative renewal paths, ensuring all certified professionals maintain current, hands-on expertise in OpenShift AI technologies through periodic re-evaluation.
What post-training support does Koenig provide after completing the MLOps Enablement with Red Hat AI Enterprise (AI500) course?
Koenig provides 30 days of post-training support for MLOps Enablement with Red Hat AI Enterprise (AI500), including trainer access for technical queries and exam prep resources. Learners are backed by a 100% Happiness Guarantee, allowing a free retake or full refund if unsatisfied within 24 hours of the first session, ensuring high-quality training outcomes.
What are the prerequisites or prior experience needed for the MLOps Enablement with Red Hat AI Enterprise (AI500) course?
Prerequisites for MLOps Enablement with Red Hat AI Enterprise (AI500) include basic knowledge of containers, Kubernetes, and Red Hat OpenShift (e.g., DO080). Familiarity with AI concepts or Red Hat AI Foundations is helpful. The course is designed for data scientists, ML engineers, and architects, encouraging cross-functional team participation to maximize collaborative MLOps learning.
What career impact or salary benefits can professionals expect after completing the MLOps Enablement with Red Hat AI Enterprise (AI500) course and earning the EX267 certification?
Professionals with EX267 certification report salary increases up to 30%, with MLOps Engineers in India earning ₹15–25 lakhs annually. Globally, certified experts command a 25% premium in cloud-AI roles. The MLOps Enablement with Red Hat AI Enterprise (AI500) course builds essential operationalization skills, preparing graduates for high-level roles as MLOps Engineers or AI Architects.
How does instructor-led training for MLOps Enablement with Red Hat AI Enterprise (AI500) at Koenig compare to self-study in terms of effectiveness and exam success?
Instructor-led training for MLOps Enablement with Red Hat AI Enterprise (AI500) at Koenig offers structured guidance, real-time labs, and interactive problem-solving, significantly boosting exam readiness. Learners receive official Red Hat courseware, Guaranteed-to-Run schedules, and expert consultations. This comprehensive, guided approach leads to higher pass rates and faster skill mastery compared to unguided self-study methods.
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Learning Path

What's Next After AI500

Continue your learning journey after AI500

Fundamentals
23924
MLOps Enablement with Red Hat AI Enterprise (AI500)
Current Course
11125
DO328 Building Resilient Microservices with Istio and Red Hat OpenShift Service Mesh
13633
DO188 - Red Hat OpenShift Development I: Introduction to Containers with Podman
15750
AD082 - Event-Driven Architecture with Apache Kafka and Red Hat OpenShift Application Services Technical Overview
15752
DO080 - Containers, Kubernetes and Red Hat OpenShift Technical Overview
17308
AI067 Red Hat OpenShift AI Technical Overview
17322
DO189 Red Hat OpenShift Development I: Introduction to Containers with Podman and Exam
17330
DO481 Multicluster Management with Red Hat OpenShift Platform Plus and Exam
Associate
1741
Red Hat OpenShift Administration II: Configuring a Production Cluster (DO280)
9100
DO180 Red Hat OpenShift Administration I: Operating a Production Cluster
9481
Red Hat OpenShift Administration III: Scaling Kubernetes Deployments in the Enterprise (DO380)
16929
Developing and Deploying AI/ML Applications on Red Hat OpenShift AI (AI267)
17278
DO289 Red Hat OpenShift Developer II: Building and Deploying Cloud-Native Applications with Exam
17319
AI268 Developing and Deploying AI/ML Applications on Red Hat OpenShift AI with Exam
17320
CL211 Red Hat OpenStack Administration II: Day 2 Operations for Cloud Operators with Exam
17326
DO281 Red Hat OpenShift Administration II: Configuring a Production Cluster with Exam
Expert
8500
Red Hat OpenShift Developer II: Building Kubernetes Applications (DO288)
10189
Red Hat OpenShift Installation Lab (DO322)
11938
DO480 - Multicluster Management with Red Hat OpenShift Platform Plus
18991
DO430 Securing Kubernetes Clusters with Red Hat Advanced Cluster Security
21279
DO431 Securing Kubernetes Clusters with Red Hat Advanced Cluster Security with Exam
21280
DO433 Multicluster Management with Red Hat Advanced Cluster Management for Kubernetes with Exam