Oracle University offers a variety of role-based learning paths and specialized certifications to help organizations maximize their use of the artificial intelligence within Oracle Cloud Infrastructure (OCI) to drive innovation and efficiency across their enterprise applications. Digital training empowers your OCI users to learn and apply best practices for OCI Generative AI, OCI AI Services, OCI machine learning services including OCI Data Science, and OCI AI infrastructure. Oracle Cloud Applications, users will learn AI essentials and discover how to harness the power of AI within Oracle Fusion Applications.
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“Oracle certifications in AI and GenAI are a strategic enabler for us to deliver differentiated solutions and accelerate client transformation. As AI reshapes the enterprise landscape, these credentials empower us to lead confidently, embrace next-generation technologies, and unlock new possibilities for innovation and growth.”
Learn how to integrate versatile large language models into a wide range of use cases, including writing assistance, summarization, analysis, chat, and retrieval-augmented generation applications, by using pretrained foundational models from Oracle's AI partners or fine-tuning base models with your own data sets, allowing you to create custom AI solutions that help address your unique business needs.
Learn how to leverage Oracle Cloud Infrastructure AI Services—a powerful collection of prebuilt machine learning models—to seamlessly integrate AI into your applications and business operations. Discover how custom training can enhance accuracy to help you address specific business needs and find out how to easily add machine learning capabilities without slowing down application development.
Learn how to bring AI-powered similarity search to your business data with native vector search capabilities that support both structured and unstructured data, enhancing accuracy and relevance for enterprise applications using retrieval-augmented generation.
Learn how to rapidly build, train, deploy, and manage machine learning models with Python and open source tools, and bring models into production with robust ML operations capabilities, including automated pipelines, model deployment, and monitoring to help ensure model health over time.
Learn how to accelerate demanding AI workloads—such as generative AI, computer vision, and predictive analytics—using Oracle’s distributed cloud infrastructure, which is designed to help address performance, security, and AI sovereignty requirements and offers industry-leading bare metal and virtual machine GPU clusters, ultrahigh-bandwidth networking, and high performance storage.
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