Oracle Cloud Infrastructure Generative AI Professional
5h 29mIntermediate2025-07-21
Authors

Oracle University
Building Cloud Proficiency on Oracle Cloud Infrastructure
Course details
In this course, build an in-depth technical understanding of Large Language Models (LLMs), including LLM architecture, fine-tuning techniques, code models, multimodal LLMs, and language agents. Explore pretrained foundational models, summarization, embeddings, Dedicated AI Clusters, and the OCI Generative AI security architecture. Enhance your mastery of course material with practical exercises, including building a conversational chatbot using the OCI Generative AI service. Learn how to enhance the chatbot's conversational abilities by integrating memory and implementing RAG with LangChain. Plus, gain the hands-on experience of deploying the chatbot on an OCI compute instance.
Skills covered
Oracle Cloud InfrastructureCloud AdministrationOracleGenerative AICloud ServicesCert PrepArtificial Intelligence (AI)Cloud Computing
Concepts
0. Introduction
- 01 - Course overview
1. Fundamentals of Large Language Models (LLMs)
- 02 - Module introduction
- 03 - Introduction to LLMs
- 04 - LLM architectures
- 05 - Prompting and prompt engineering
- 06 - Issues with prompting
- 07 - Training
- 08 - Decoding
- 09 - Hallucination
- 10 - LLM applications
2. OCI Generative AI Service
- 11 - Module introduction
- 12 - OCI Generative AI
- 13 - Demo - OCI Generative AI
- 14 - Chat models
- 15 - Demo - Chat models
- 16 - Demo - OCI Generative AI service inference API
- 17 - Demo - Config setup for generative AI inference API
- 18 - Embedding models
- 19 - Demo - Embedding models
- 20 - Prompt engineering
- 21 - Customize LLMs with your data
- 22 - Fine-tuning and inference in OCI Generative AI
- 23 - Dedicated AI cluster sizing and pricing
- 24 - Demo - Dedicated AI clusters
- 25 - Fine-tuning configuration
- 26 - Demo - Fine-tuning and custom models
- 27 - Demo - Inference using endpoint
- 28 - OCI Generative AI security
3. RAG with OCI Generative AI Service and Oracle 23ai Vector Search
- 29 - OCI Generative AI integrations
- 30 - Retrieval augmented generation (RAG)
- 31 - Process documents
- 32 - Embed and store documents
- 33 - Retrieval and generation
- 34 - Demo - LangChain basics
- 35 - Conversational RAG
- 36 - Demo - RAG with Oracle Database 23ai
4. Chatbot using OCI Generative AI Agent Service
- 37 - Oracle Generative AI agent lesson
- 38 - Chatbot demo using Object Store
- 39 - Chatbot demo using Oracle 23ai
Conclusion
- 40 - Prepare for OCI Generative AI professional certification