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via Udemy |
Go to Course: https://www.udemy.com/course/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 AgentsOCI 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 architectureBuild 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 OCIFundamentals of Large Language Models (LLMs) Explain the fundamentals of LLMsUnderstand LLM architecturesDesign and use prompts for LLMsUnderstand LLM fine-tuningUnderstand the fundamentals of code models, multi-modal, and language agentsUsing OCI Generative AI ServiceExplain the fundamentals of OCI Generative AI serviceUse pretrained foundational models for Generation, Summarization, and EmbeddingCreate dedicated AI clusters for fine-tuning and inferenceFine-tune base model with custom datasetCreate and use model endpoints for inferenceExplore OCI Generative AI security architectureBuilding an LLM Application with OCI Generative AI ServiceUnderstand Retrieval Augmented Generation (RAG) conceptsExplain vector database conceptsExplain semantic search conceptsBuild Lang Chain models, prompts, memory, and chainsBuild an LLM application with RAG and Lang ChainTrace and evaluate an LLM applicationDeploy an LLM application.