The Oracle Cloud Infrastructure (OCI) Generative AI Course provides an in-depth technical introduction to Large Language Models (LLMs) and their applications. This course explores LLM architecture, fine-tuning techniques, multimodal models, language agents, and code models, along with practical use cases in OCI’s Generative AI ecosystem.
Learners will gain hands-on experience with OCI Generative AI Service, OCI Generative AI Agents, and the Oracle 23ai Database. Through demonstrations and guided exercises, you’ll learn to implement Retrieval-Augmented Generation (RAG) pipelines and build intelligent chatbots integrated with OCI services.
This course also prepares you for the Oracle Cloud Infrastructure 2025 Generative AI Professional Certification — your next step toward mastering enterprise-grade Generative AI solutions.
After completing this course, you will be able to:
- 🧠 Explain Large Language Models (LLMs) and their architecture, training, and applications.
- ⚙️ Use OCI Generative AI Service and OCI Generative AI Agents Service proficiently.
- 💬 Build a chatbot using OCI Generative AI Agents Service and Retrieval-Augmented Generation (RAG).
- 🏗 Understand and utilize Oracle 23ai Database as a Vector Store for RAG-based workflows.
Currently, the OCI Generative AI Service is available in the following regions:
- 🇺🇸 US Midwest (Chicago)
- 🇩🇪 Germany Central (Frankfurt)
- 🇬🇧 UK South (London)
⚠️ Please ensure you subscribe to one of these regions to access OCI Generative AI features.
By completing this course, you will:
- ✅ Become proficient in building Generative AI solutions using OCI Generative AI, OCI Agents, and Oracle 23ai Vector Store.
- 💡 Learn to design and deploy RAG-based chatbots integrated with OCI infrastructure.
- 🧩 Understand the security architecture and deployment models of OCI Generative AI.
- 🏆 Gain expertise aligned with the OCI 2025 Generative AI Professional Certification.
- 💼 Acquire industry-ready skills that differentiate you in a rapidly evolving AI landscape.
- LLM basics, architectures, and prompt engineering
- Fine-tuning methods and T-Few techniques
- Fundamentals of code models, multimodal LLMs, and language agents
- Working with Pretrained Foundational Models (generation, summarization, embeddings)
- Understanding Dedicated AI Clusters and Generative AI Security Architecture
- Performing model inference and deploying fine-tuned models
- Design Retrieval-Augmented Generation (RAG) workflows
- Implement Vector Databases and Semantic Search using Oracle 23ai
- Build chatbots using LangChain Framework (prompts, models, memory, chains)
- Trace, evaluate, and deploy chatbots on OCI infrastructure
Before enrolling in this course, you should have:
- A basic understanding of Machine Learning and Deep Learning concepts
- Familiarity with Python programming
Here are the key learning resources for this course:
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Oracle Cloud Infrastructure (OCI) Official Site: https://www.oracle.com/cloud/
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OCI Generative AI Documentation: https://docs.oracle.com/en-us/iaas/Content/generative-ai/
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OCI Generative AI Agents Service: https://docs.oracle.com/en-us/iaas/Content/generative-ai-agents/
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Oracle 23ai Database Overview: https://www.oracle.com/database/ai/
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OCI Hands-On Labs: https://apexapps.oracle.com/pls/apex/f?p=44785:112:0::::P112_CONTENT_ID,P112_PREV_PAGE:16833,112
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Learn About Oracle’s Products – Oracle Cloud Infrastructure: https://learn.oracle.com/ols/home
- Cloud Platform: Oracle Cloud Infrastructure (OCI)
- Course Type: Professional Hands-On Course
- Focus Area: Generative AI, Large Language Models, and AI Agents
The OCI Generative AI Course empowers you to design, fine-tune, and deploy next-generation AI solutions using Oracle’s cutting-edge cloud ecosystem. From mastering LLM fundamentals to building production-ready chatbots, you’ll gain the skills to innovate responsibly and efficiently in the era of Generative AI.
© Oracle Cloud Infrastructure | Generative AI Professional Learning Path (2025 Edition)