LinkedIn – Oracle Cloud Infrastructure Generative AI Professional Cert Prep 2024-11

Oracle Cloud Infrastructure Generative AI Professional Cert Prep Course. This course provides a thorough technical introduction to Large Language Models (LLM) for software developers, machine learning and AI engineers, and generative AI enthusiasts preparing for the Oracle Cloud Infrastructure Generative AI Professional exam. You will explore the fundamentals of LLM architecture, fine-tuning techniques, code models, multi-faceted LLMs, and language agents. In addition, you will learn how to get started with pre-trained models, summarization, embeddings, AI-specific clusters, and the OCI Generative AI architecture. Throughout the course, you will test your new skills with hands-on exercises as you build a conversational chatbot with OCI Generative AI, integrate memory and implement Retrieval Augmented Generation (RAG) using LangChain, and prepare the chatbot for deployment on an OCI compute instance.

What you will learn in this course:

• Fundamentals of Large Language Models (LLM): An in-depth understanding of the architecture, functionality, and applications of LLMs.
• Fine-tuning techniques: Learn how to customize pre-trained models for specific tasks.
• Code Models: Using LLMs to generate and understand code.
• Multi-faceted LLMs: Working with models that can process different types of data.
• Language agents: Creating intelligent systems that can interact with users and perform tasks.
• Getting started with pre-trained models: Using pre-trained models to perform various tasks such as text summarization.
• Embeddings: Understand the concept of embeddings and how to use them to represent text.
• Dedicated AI clusters: Creating optimized computing environments for running LLMs.
• OCI Generative AI Architecture: Introduction to the architecture and tools provided by Oracle for working with LLMs.
• Building a conversational chatbot: Implementing a chatbot that can interact with users and answer their questions.
• Memory integration: Add memory capabilities to your chatbot to improve responses.
• Implementing RAG using LangChain: Using LangChain to retrieve relevant information from external sources and use it to answer questions.
• Chatbot Deployment: Deploy the chatbot on an OCI compute instance.

This course is suitable for people who:

• Software developers: People who want to expand their skills in artificial intelligence and machine learning.
• Machine learning and artificial intelligence engineers: People who want to work with large language models.
• Generative AI enthusiasts: People looking to learn the principles and applications of generative AI.
• People who want to prepare for the Generative Artificial Intelligence Professional exam on Oracle Cloud Infrastructure.