Developing and Deploying AI/ML Applications on Red Hat OpenShift AI (AI267) Intermediate
The Developing and Deploying AI/ML Applications on Red Hat OpenShift AI (AI267) course equips ML engineers and data scientists with skills to automate MLOps and LLMOps workflows, solving the industry challenge of scaling AI models into production. With 80% of data science projects failing to deploy, this course delivers hands-on expertise in Red Hat OpenShift AI to streamline model deployment, monitoring, and governance at scale.
This course prepares learners for the Red Hat Certified Developer in AI (EX267) certification. Koenig offers official vendor-authorized courseware and 30-day lab access, enabling professionals to build production-ready generative AI applications and advance into high-demand roles in AI engineering and MLOps.
Training Formats & Pricing
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Course Overview
The Developing and Deploying AI/ML Applications on Red Hat OpenShift AI (AI267) course by Red Hat is designed for ML Engineers and Data Scientists tasked with operationalizing AI/ML models using MLOps and LLMOps practices. This hands-on training prepares professionals for the Red Hat Certified Developer in AI (EX267) certification and equips them with skills to manage the full lifecycle of modern AI applications. With 86% of enterprises adopting AI platforms like Red Hat OpenShift AI to streamline generative and predictive model deployment, this course addresses critical industry demand for experts who can bridge development and production. It is ideal for roles including MLOps Engineers, AI Developers, and Data Science Practitioners responsible for deploying, automating, and monitoring AI workflows at scale.
Students gain practical experience with core Red Hat OpenShift AI technologies, including Kubeflow Pipelines, Elyra, TrustyAI, OpenVINO, and vLLM for model serving. Through hands-on labs in the OpenShift AI web console environment, learners configure data science projects, deploy custom workbenches, and manage resources for AI development. A key project involves building production-ready Generative AI applications using Retrieval-Augmented Generation (RAG) patterns and agentic workflows, while implementing safety guardrails. The course also emphasizes monitoring deployed models for bias, data drift, and performance using observability tools, ensuring ethical and reliable AI operations in real-world enterprise scenarios.
This training directly prepares candidates for the performance-based Red Hat Certified Developer in AI (EX267) certification, a credential recognized for validating expertise in enterprise AI deployment. Certified professionals are positioned for roles with competitive salaries, with OpenShift AI Engineers earning between $100,000 and $207,530 annually based on experience and responsibilities. Koenig Solutions supports this path with Guaranteed-to-Run classes and official Red Hat courseware, ensuring consistent access to training. Completing the Developing and Deploying AI/ML Applications on Red Hat OpenShift AI (AI267) course enables professionals to lead AI initiatives, from experimental prototypes to scalable, monitored production systems.
What You'll Learn
Skills You'll Gain
Prerequisites
- Developing and Deploying AI/ML Applications on Red Hat OpenShift AI (AI267) requires the following technical prerequisites to ensure successful completion of the course:
- Red Hat Certified System Administrator (RHCSA) or equivalent knowledge of Red Hat Enterprise Linux.
- Experience with Kubernetes core concepts and command line operations using kubectl.
- Proficiency in Red Hat OpenShift Container Platform administration.
- Working knowledge of containerization and Docker fundamentals.
- Competence in Python programming for data science and model training.
- Familiarity with machine learning workflows, model lifecycles, and Jupyter notebooks.
- Experience with Git for version control and code management.
Certification Exam
Everything you need to know about the AI267 certification exam
Course Curriculum
Structured learning with hands-on labs and real-world scenarios
1
Day 1– Mastering Red Hat OpenShift AI Foundations
2
Day 2– Developing and Deploying AI/ML Applications on Red Hat OpenShift AI (AI267) Projects
3
Day 3– Advanced AI/ML Model Development and Deployment
4
Day 4– Collaborative AI Development with Git Workflows
5
Day 5– Automating Data Science Pipelines at Scale
What's Included in Your Training
Every enrollment comes packed with resources to maximise your learning and exam success
Official Courseware
Exam Preparation Materials
Practice Test Questions (200+)
Certificate of Completion
Post-Training Support (30 days)
Session Recording Access
Free Rescheduling (7+ days notice)
Career Outcomes
of AI267 certified professionals report career advancement within 6 months
Salary Impact
Average salary increase reported after obtaining the AI267 certification
*Source: Glassdoor / LinkedIn 2025
Job Roles
- MLOps Engineer
- AI/ML Platform Engineer
- Cloud AI Engineer
- AI Solutions Architect
- DevOps Engineer (AI/ML)
- Data Science Platform Specialist
Companies Hiring
and 5,000+ organizations worldwide seeking AI267 certified professionals
Course Student Reviews
Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.
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“Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”
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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.”
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.”
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.”
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.”
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.”
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.”
SC-300 Certified ✓ Verified -
★★★★★
“AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”
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.”
DP-600 Certified ✓ Verified -
★★★★★
“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
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.”
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.”
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.”
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.”
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.”
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.”
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.”
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.”
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.”
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.”
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.”
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.”
SC-300 Certified ✓ Verified
-
★★★★★
“AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”
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.”
DP-600 Certified ✓ Verified -
★★★★★
“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
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.”
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.”
DP-600 Certified ✓ Verified -
★★★★★
“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
AZ-400 Team Training ✓ Verified
Frequently Asked Questions
Everything you need to know about the AI267 training course
Is the certification exam included in the course fee for Developing and Deploying AI/ML Applications on Red Hat OpenShift AI (AI267), and what is the cost if separate?
What training formats does Koenig offer for this course, and is there a Guaranteed-to-Run schedule?
How long is lab access provided, and what environment is used for hands-on practice?
What is Koenig's rescheduling and cancellation policy for this course?
What is the format, number of questions, passing score, and time limit for the EX267 certification exam?
How long is the Red Hat Certified Developer in AI certification valid, and what is the renewal process and cost?
What post-training support does Koenig provide after course completion for AI267?
What are the prerequisites or recommended experience needed before taking the Developing and Deploying AI/ML Applications on Red Hat OpenShift AI (AI267) course?
What is the average salary impact or career benefit for professionals certified in Red Hat OpenShift AI after completing AI267?
How does formal training in AI267 compare to self-study for preparing for the EX267 certification exam?
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