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AI067 Red Hat OpenShift AI Technical Overview Beginner

The AI067 Red Hat OpenShift AI Technical Overview is a free, on-demand course designed for data scientists, developers, and MLOps engineers facing challenges in operationalizing AI at scale. It addresses the industry-wide pain point of slow AI deployment, where enterprises lose 3 days per project on environment setup. This course demonstrates how Red Hat OpenShift AI streamlines model development, inference, and agentic AI workflows on a unified hybrid cloud platform, helping teams overcome fragmentation and accelerate time-to-production.

This course prepares learners for the Red Hat Certified Developer in AI (EX267) certification. Koenig Solutions delivers official vendor-authorized courseware with 30-day lab access, enabling hands-on mastery of OpenShift AI’s MLOps and GenAIOps capabilities. Enroll to gain the skills needed to deploy enterprise AI efficiently and securely across hybrid environments.

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Course Overview

The AI067 Red Hat OpenShift AI Technical Overview by Red Hat is a free, on-demand course designed to introduce professionals to the enterprise AI/ML landscape and the challenges of operationalizing artificial intelligence in production environments. This course serves data scientists, AI practitioners, developers building agentic AI applications, and platform engineers responsible for deploying and monitoring AI workloads at scale. As enterprises increasingly adopt hybrid cloud AI strategies—with 78% of organizations implementing hybrid cloud platforms—skills in unified AI platforms like Red Hat OpenShift AI are in high demand. The course provides foundational knowledge aligned with the Red Hat Certified Developer in AI (EX267) certification path, preparing learners for advanced training and performance-based evaluation in AI application deployment.

Participants engage with key technologies in the Red Hat AI portfolio, including high-performance inference with vLLM and llm-d, Retrieval-Augmented Generation (RAG), fine-tuning, AI pipelines, and observability with TrustyAI. Through a series of live demonstrations, learners explore real-world implementations such as improving insurance claims processing, working with large language models (LLMs), and image processing workflows. The hands-on labs are conducted in the Red Hat OpenShift AI Developer Sandbox, a cloud-based environment where students configure Jupyter workbenches, manage data science projects, connect to external data sources, and deploy models. One key scenario involves building a RAG-enabled application using vector databases and document processing, demonstrating how enterprises can customize models while maintaining governance and security.

Completing the AI067 Red Hat OpenShift AI Technical Overview prepares learners for the Red Hat Certified Developer in AI (EX267) exam, a performance-based certification recognized globally and valued by 90% of Fortune 500 companies. Professionals with OpenShift AI expertise command competitive salaries, with AI Platform Engineers earning between $130,000 and $160,000 annually. Koenig Solutions enhances this learning path with Guaranteed-to-Run classes, official Red Hat courseware, and 1-on-1 training options, ensuring personalized support. By mastering Red Hat OpenShift AI, learners position themselves to lead AI/ML initiatives in hybrid cloud environments, driving innovation and securing high-impact roles in MLOps, AI development, and cloud infrastructure.

What You'll Learn

Analyze enterprise AI deployment challenges including integration, scalability, and compliance requirements within the Red Hat OpenShift AI environment.
Implement hybrid cloud AI solutions by leveraging the Red Hat AI portfolio to ensure scalable, secure, and flexible infrastructure deployments.
Configure Model Serving runtimes and KServe to execute inference workloads, utilizing vLLM and llm-d to optimize model performance and reliability.
Deploy model customization techniques such as Retrieval-Augmented Generation and fine-tuning within Data Science Projects to align AI outputs with specific business requirements.
Automate the model lifecycle by building Data Science Pipelines that manage the progression from training to deployment and continuous monitoring.
Optimize AI application security and observability by configuring advanced guardrails and monitoring tools to maintain system reliability and compliance.

Skills You'll Gain

OpenShift AI Architecture Red Hat AI Platform AI/ML Operationalization Model Inference Distributed Inference Red Hat OpenShift AI Pipelines Model Customization RAG Implementation Fine-Tuning Models Agentic AI LLM Integration Hybrid Cloud AI Model Monitoring Observability Resource Management vLLM Inference

Prerequisites

Recommended knowledge before taking this course
  • To succeed in the AI067 Red Hat OpenShift AI Technical Overview by Red Hat, learners should possess a foundational understanding of machine learning workflows and familiarity with Red Hat OpenShift architecture. Technical requirements include a working knowledge of containerization concepts, Kubernetes basics, and general Red Hat OpenShift platform awareness. While this course serves as a technical overview, a foundational understanding of the Red Hat OpenShift Container Platform is highly recommended to ensure successful comprehension of the material.
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Certification Exam

Everything you need to know about the AI067 certification exam

Exam Details
Exam Name
AI067
Exam Cost
Not applicable
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Not applicable
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Course Curriculum

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

1
Day 1– AI067 Red Hat OpenShift AI Technical Overview
Introduction to Red Hat OpenShift AI Configuring OpenShift AI components Managing Data Science Projects Provisioning and managing a Workbench Managing model serving runtimes Deploying models with KServe Monitoring and observability in OpenShift AI Overview of the Red Hat AI portfolio

What's Included in Your Training

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

Hands-On Lab

Live Lab Sandbox

Real Environment

Practice in a real lab environment with full access to the tools and services covered in the course.

30+ Guided Labs

30+

Step-by-step lab exercises designed to reinforce each module with practical, hands-on tasks.

Lab Manual Included

Full Guide

Comprehensive lab guide with detailed instructions, screenshots, and troubleshooting tips.

Post-Training Access

30 Days

30 days of extended lab access after your training ends so you can continue practicing.

Career Outcomes

78%

of AI067 certified professionals report career advancement within 6 months

Salary Impact

+18%

Average salary increase reported after obtaining the AI067 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
  • OpenShift AI Platform Engineer
  • Kubernetes AI Platform Engineer
  • Red Hat OpenShift Administrator
  • AI MLOps Engineer
  • Cloud AI Infrastructure Specialist
  • Machine Learning Platform Engineer

Companies Hiring

5,000+
Red Hat IBM Accenture Deloitte Capgemini JPMorgan Chase Goldman Sachs Cisco Oracle AT&T

and 5,000+ organizations worldwide seeking AI067 certified professionals

Real Transformations

Course Student Reviews

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    “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.”

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    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

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    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

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    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

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  • ★★★★★

    “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 AI067 training course

Is the certification exam included in the AI067 Red Hat OpenShift AI Technical Overview course, and what is the exam fee if separate?
The AI067 Red Hat OpenShift AI Technical Overview course does not include an exam, as it is a free technical briefing. The Red Hat Certified Specialist in OpenShift AI (EX267) exam costs $500 USD, with regional pricing variations. You must register for EX267 separately to earn your certification, as AI067 serves as foundational, non-certifying preparation.
What training formats does Koenig offer for the AI067 Red Hat OpenShift AI Technical Overview course, and is there a Guaranteed-to-Run schedule?
Koenig offers AI067 Red Hat OpenShift AI Technical Overview training via live instructor-led, 1-on-1 personalized, classroom, and Flexi self-paced formats. All batches are Guaranteed-to-Run, meaning they proceed even with one student. This ensures reliable, scheduled learning with expert instructors using official Red Hat courseware to maximize your professional development.
How long is lab access provided for the AI067 course, and what type of lab environment is used?
The AI067 Red Hat OpenShift AI Technical Overview is a free, video-based introduction and does not include hands-on labs. It provides theoretical knowledge without practical exercises. For lab-based training, enroll in the AI267 course, which offers access to cloud-hosted Red Hat OpenShift AI environments during your scheduled training period for real-world practice.
What is Koenig's rescheduling and cancellation policy for the AI067 course?
Koenig allows rescheduling for AI067 Red Hat OpenShift AI Technical Overview training up to 14 days before the start date without fees. Cancellations within 10 days incur a 50% fee, with only one rescheduling change permitted. These policies maintain scheduling integrity for our Guaranteed-to-Run batches while aligning with official Red Hat training guidelines.
What is the format, number of questions, passing score, and time limit for the Red Hat OpenShift AI certification exam (EX267)?
The EX267 exam is a performance-based, hands-on test lasting 3 hours (180 minutes) with 8–10 practical tasks. You must achieve a score of 210 out of 300 (70%) to pass. The exam evaluates your ability to deploy and configure Red Hat OpenShift AI to manage machine learning models in production environments.
How long is the Red Hat OpenShift AI certification valid, and what is the renewal process and cost?
The Red Hat Certified Specialist in OpenShift AI (EX267) is valid for 3 years. To renew, you must retake the EX267 exam, which costs $500 USD. Renewal extends your certification for another 3 years. No continuing education or alternative paths are available for this specialist credential, ensuring industry-standard skill validation.
What post-training support does Koenig provide after completing the AI067 Red Hat OpenShift AI Technical Overview course?
After completing the AI067 Red Hat OpenShift AI Technical Overview, Koenig provides access to recorded sessions, official materials, and optional doubt-clearing sessions. You receive guidance for advancing to AI267 and EX267, along with mentorship from certified trainers and inclusion in our alumni network for ongoing career and technical support.
What are the prerequisites or prior experience needed for the AI067 Red Hat OpenShift AI Technical Overview course?
There are no formal prerequisites for the AI067 Red Hat OpenShift AI Technical Overview, as it is a free, introductory course for all skill levels. It is ideal for data scientists, developers, and platform engineers seeking foundational knowledge of Red Hat OpenShift AI and its role in enterprise AI/ML operationalization.
What is the career impact and potential salary increase after completing the AI067 course and related Red Hat OpenShift AI certifications?
Completing AI067 Red Hat OpenShift AI Technical Overview prepares you for the EX267 certification, leading to roles like AI/ML Engineer with salaries of $120,000–$150,000. Certified professionals report a 20–30% salary increase, reflecting the high demand for enterprise AI and MLOps expertise on hybrid cloud platforms globally.
How does instructor-led training for AI067 compare to self-study in terms of effectiveness and certification success rate?
Instructor-led AI067 Red Hat OpenShift AI Technical Overview training improves understanding through expert guidance and interactive Q&A. For EX267 exam success, Koenig’s live training correlates with a 95% pass rate versus ~70% for self-study, due to structured labs, real-time feedback, and exam-focused mentoring from our certified Red Hat experts.
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