1Z0-1127-24: Become an OCI Generative AI Professional 2024

The Oracle Cloud Infrastructure 2024 Generative AI Professional (1Z0-1127-24) 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.

Students 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.

It covers below topics :

Fundamentals of Large Language Models (LLMs): LLM basics, LLM architectures, Prompt Engineering, Fine-tuning techniques, fundamentals of code models, Multi-modal LLMs and Language Agents

OCI Generative AI Deep-Dive: Pretrained Foundational Models (Generation, Summarization, Embedding), Flexible Fine-tuning including T-Few techniques, Model Inference, Dedicated AI Clusters, Generative AI Security architecture

Build a Conversational Chatbot with OCI Generative AI: Understand RAG, Vector Databases, Semantic Search, build chatbot using LangChain Framework (Prompts, Models, Memory, Chains), Trace and Evaluate chatbot and deploy on OCI

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 Lang Chain models, prompts, memory, and chains

Build an LLM application with RAG and Lang Chain

Trace and evaluate an LLM application

Deploy an LLM application.