Accelerate and upskill with Red Hat AI training and certification

To maximize your efficiency when using AI, you can learn new AI skills and validate your existing ones with Red Hat Training and Certification. Rooted in flexibility, innovation, security, and consistency, Red Hat AI and Red Hat OpenShift AI help organizations accelerate the development and delivery of AI solutions across hybrid cloud environments. 

As you begin your AI learning journey, the course “Developing and Deploying AI/ML Applications on Red Hat OpenShift AI” is a great starting point. It provides students with the fundamental knowledge to manage the complete lifecycle of modern AI applications, showing them how to efficiently train, test, deploy, and monitor both predictive and generative AI models at scale. 

As you build up your AI skills, you’ll get more out of your AI platform, improve your knowledge, boost your productivity, and advance your career. Whether you’re looking to learn the foundations of predictive or generative AI, or dive deep into developing and deploying AI/ML applications, we can help you get started.

Here are 5 reasons why you shouldn’t wait to start training and certifying on AI.

Learn best practices from industry experts

Our certified, experienced instructors have an average of 20 years in IT and 11 years using Red Hat products. As working practitioners, their hands-on expertise in production-ready environments means they have a deep well of real-life AI scenarios to draw from. Our course content is based on real use cases and successful implementations of Red Hat products, so it is applicable in your day-to-day work and helps prepare you for AI challenges that arise.

Gain a coveted industry certification

Getting certified in AI can help you embrace technology challenges, gain confidence, and move AI projects past the prototyping stage and into security-focused, production-ready enterprise workflows. The Red Hat Certified Developer in AI certification shows you have the hands-on skills to build, deploy, and manage machine learning models to support AI-enabled applications.

Master new AI features and trends

Red Hat has a number of technical overviews that will help you stay ahead of technology trends, along with courses focused on AI topics important to your teams. Learn about Red Hat AI and Red Hat AI Inference with our 2 technical overviews, get immersive team training on MLOps and GenAIOps culture and workflows, or learn how to operationalize the complete lifecycle of modern AI applications at scale with our product-focused training. Just this month, “Developing and Deploying AI/ML Applications on Red Hat OpenShift AI” has been updated to reflect version 3.3 of Red Hat OpenShift AI so that you can take advantage of new product features.

Flexible training for many roles

Our training courses are designed for learners in many different roles, including data scientists, AI specialists and practitioners, developers, system administrators, and MLOps engineers, as well as MLOps and AIOps platform users, providers, stakeholders, and others with an understanding of OpenShift and Kubernetes.

Whether you prefer to train at your own pace with our self-paced courses, sit for a live, virtual course, or train with your team in an immersive environment, we have you covered.

Proven success stories

Training sets you up for success so you won’t get left behind. RTLZWEI, a mid-sized German broadcaster and digital media company used Red Hat Training to develop skills in using Red Hat OpenShift AI. The engagement helped them focus on cutting-edge AI use cases and turn AI models into usable products. With the help of training and support from Red Hat, RTLZWEI was able to solve a real-life issue around deploying a custom model serving runtime image on their cluster.

Get started with the newly discounted OpenShift AI course

Kickstart your AI training journey with “Developing and Deploying AI/ML Applications on Red Hat OpenShift AI”. For a limited time, Red Hat Training and Certification is offering 50% off this Red Hat Learning Subscription course, which includes:

• 1 year of access to the course
• Self-paced learning and 1 live virtual class
• 1 exam and 1 retake as well as exam readiness tools
• 100 hours of hands-on labs where you can practice what you have learned in an actual AI environment

Visit the course page to purchase the Red Hat Learning Subscription Course and take advantage of this discount.