This certification comes under the Cloud Recertification policy
The Oracle Cloud Infrastructure 2024 Generative AI Professional certification is designed for Software Developers, Machine Learning/AI Engineers, Gen AI Professionals who have a basic understanding of Machine Learning and Deep Learning concepts, familiarity with Python and OCI.
Individuals who earn this credential have a strong understanding of the Large Language Model (LLM) architecture and are skilled at using OCI Generative AI Services, such as RAG and LangChain, to build, trace, evaluate, and deploy LLM applications.
Prepare to pass exam: 1Z0-1127-24
The Oracle Cloud Infrastructure 2024 Generative AI Professional certification is designed for Software Developers, Machine Learning/AI Engineers, Gen AI Professionals who have a basic understanding of Machine Learning and Deep Learning concepts, familiarity with Python and OCI.
Individuals who earn this credential have a strong understanding of the Large Language Model (LLM) architecture and are skilled at using OCI Generative AI Services, such as RAG and LangChain, to build, trace, evaluate, and deploy LLM applications.
Review Exam Topics
| Objectives | % of Exam |
| Fundamentals of Large Language Models (LLMs) | 20% |
| Using OCI Generative AI Service | 45% |
| Building an LLM Application with OCI Generative AI Service | 35% |
Fundamentals of Large Language Models (LLMs)
- Explain the fundamentals of LLMs
- Understand LLM architectures
- Design and use prompts for LLMs
- Understand LLM fine-tuning
- Understand the fundamentals of code models, multi-modal, and language agents
Using OCI Generative AI Service
- Explain the fundamentals of OCI Generative AI service
- Use pretrained foundational models for Generation, Summarization, and Embedding
- Create dedicated AI clusters for fine-tuning and inference
- Fine-tune base model with custom dataset
- Create and use model endpoints for inference
- Explore OCI Generative AI security architecture
Building an LLM Application with OCI Generative AI Service
- Understand Retrieval Augmented Generation (RAG) concepts
- Explain vector database concepts
- Explain semantic search concepts
- Build LangChain models, prompts, memory, and chains
- Build an LLM application with RAG and LangChain
- Trace and evaluate an LLM application
- Deploy an LLM application
