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1Z0-1110-25, 1Z0-1027-25, 1Z0-184-25 [Bundle of Exams 2025]
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1Z0-1110-25, 1Z0-1027-25, 1Z0-184-25 [Bundle of Exams 2025]

About this course

Oracle Cloud Infrastructure 2025 Data Science Professional (1Z0-1110-25)The OCI Data Science Professional certification validates your expertise in building, training, and deploying machine learning models using Oracle Cloud Infrastructure (OCI). This course provides hands-on experience in managing the full data science lifecycle — from data preparation to model deployment and monitoring. You’ll master OCI’s Data Science tools to create scalable, efficient, and AI-driven business solutions.You’ll learn to:Build, train, and deploy ML models using OCI Data Science services.Apply best practices for reproducible and secure ML workflows.Leverage OCI for automation, data management, and collaboration.Optimize performance and model accuracy through lifecycle monitoring.Oracle Cloud Infrastructure 2025 Generative AI Professional (1Z0-1127-25)The OCI Generative AI Professional certification equips you with the skills to design, evaluate, and deploy LLM-based applications using Oracle Cloud Infrastructure. This course dives deep into Large Language Model (LLM) architecture, RAG (Retrieval-Augmented Generation), and LangChain integration. Learn to build and manage Gen AI solutions while exploring prompt design, fine-tuning, and deployment best practices on OCI.You’ll learn to:Understand LLM architecture and its practical applications.Build Gen AI applications using OCI Generative AI services and LangChain. Implement RAG pipelines for accurate, context-aware responses.Trace, evaluate, and optimize AI model outputs effectively.Oracle AI Vector Search Professional (1Z0-184-25)The AI Vector Search Professional certification prepares you to integrate artificial intelligence directly into Oracle Databa

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69/100

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45/45
Who stands behind it
8/35
How complete the listing is
16/20

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What you'll learn

  • Build, train, and deploy machine learning models using OCI
  • Understand LLM architecture and its applications
  • Implement Retrieval-Augmented Generation (RAG) pipelines
  • Integrate AI capabilities into Oracle databases

Course objectives

  • Provide hands-on experience in managing the full data science lifecycle
  • Equip students with skills to design and deploy LLM-based applications
  • Prepare learners to optimize AI model outputs
Machine Learning Artificial Intelligence #model deployment #machine learning #generative ai #large language models #data science #workflow optimization #llm #data preparation #oracle cloud #prompt design #ai vector search #rags application #ai model monitoring
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