Welcome to the OCI Generative AI Certification Course!
By completing this learning path, you will gain the expertise to:
Master Large Language Models (LLMs): Understand core LLM concepts, architectures, and advanced application techniques.
Leverage the OCI Generative AI Service: Gain hands-on proficiency in Oracle Cloud Infrastructure’s generative AI ecosystem.
Build Production-Ready Chatbots: Design and deploy a Retrieval-Augmented Generation (RAG) powered conversational chatbot.
Prerequisites
A foundational understanding of Machine Learning and Deep Learning concepts.
Familiarity with Python programming.
What You Will Learn
1. Fundamentals of Large Language Models (LLMs)
Explore LLM basics, underlying architectures, prompt engineering, and fine-tuning methodologies.
Dive into code-generation models, multi-modal LLMs, and autonomous language agents.
2. OCI Generative AI Deep-Dive
Work with pretrained foundational models tailored for text generation, summarization, and embeddings.
Master flexible fine-tuning (including T-Few techniques), model inference, dedicated AI clusters, and robust security architectures.
3. Building a Conversational Chatbot
Learn the mechanics of RAG, vector databases, and semantic search.
Use the LangChain framework to integrate prompts, models, memory, and chains.
Trace, evaluate, and successfully deploy your chatbot on OCI.
Exam Details
- Exam Code: 1Z0-1127
- Format: 50 to 88 multiple-choice questions
- Time Limit: 90 minutes
- Passing Score: 68%
Core Exam Topics
- LLM Fundamentals: Core transformer architectures, neural networks, fine-tuning methods (including T-Few), and multimodal models.
- OCI Generative AI Service: Deploying pre-trained foundational models, managing Dedicated AI Clusters, and handling inference.
- Retrieval-Augmented Generation (RAG): Implementing semantic search, vector databases, and LangChain frameworks with Oracle Database.
- Security & Governance: Securing AI workflows and understanding the OCI Generative AI security architecture.
