Course Description

Prepare to pass exam: Oracle Cloud Infrastructure 2024 Generative Al Professional

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.

To prepare for the Oracle Cloud Infrastructure 2024 Generative AI Professional exam, you should adopt a comprehensive study strategy that encompasses several essential components. Start by reviewing the official Oracle documentation and resources that specifically cover generative AI concepts, tools, and their applications within Oracle Cloud Infrastructure. Familiarize yourself with the core components, such as machine learning frameworks, data processing pipelines, and AI model deployment strategies.

Hands-on experience is crucial, so leverage Oracle's cloud services to practice building, training, and deploying generative AI models. Experiment with the various tools available in Oracle Cloud, including data storage solutions and compute resources that are optimized for AI workloads. Completing hands-on labs or projects can deepen your understanding and prepare you for practical questions in the exam.

In addition to practical experience, take advantage of online courses and tutorials that focus on Oracle's generative AI offerings. Participating in forums or study groups can also help you gain insights from others preparing for the same exam. Finally, review sample questions to familiarize yourself with the exam format and identify areas where you may need further study. By combining these resources and strategies, you'll be well-prepared to succeed in the Oracle Cloud Infrastructure 2024 Generative AI Professional exam.

Exam topics covered

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