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Learn Retrieval Augmented Generation online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
DeepLearning.AI
Vector databases use embeddings to capture the meaning of data, gauge the similarity between different pairs of vectors, and navigate large datasets to identify the most similar vectors. In the context of large language models, the primary use of vector databases is retrieval augmented generation (…
IBM
Learn vector databases, similarity search, and ChromaDB operations to build recommendation systems, and improve AI retrieval performance in GenAI applications using embeddings.
Microsoft
Learn to build sophisticated AI agents programmatically using Semantic Kernel and Azure AI services. This developer-focused course teaches code-first techniques for creating customized, scalable agent solutions.
IBM
Build secure AI agents with MCP, FastMCP, retrieval-augmented generation, multi-server workflows, and permission-based LLM interaction
Google Cloud
Learn how to use prompt design and retrieval augmented generation (RAG) to build powerful generative AI applications using LLMs on Google Cloud.
Amazon Web Services
As organizations increasingly deploy retrieval-augmented generation (RAG) systems to unlock the value of their knowledge assets, the demand for skilled professionals who can architect, implement, and optimize these solutions continues to grow. This curriculum prepares you to meet that demand by pro…
Amazon Web Services
In this course, you will explore two techniques to improve the performance of a foundation model (FM): Retrieval Augmented Generation (RAG) and fine-tuning. You will learn about Amazon Web Services (AWS) services that help store embeddings with vector databases, the role of agents in multi-step tas…
Amazon Web Services
This lab provides hands-on training in building a secure generative AI chatbot using Amazon Bedrock. Participants will learn how to leverage Retrieval-Augmented Generation (RAG) to generate contextually relevant responses. They will implement guardrails to filter and control the chatbot's content g…
MIT xPRO
The curriculum examines the foundations of generative models, machine learning (ML), and reinforcement learning, connecting these concepts to real-world industry applications. You will explore how large language models (LLMs), retrieval-augmented generation (RAG), emerging AI agents, and agent-driv…
Google Cloud
Build Grounded Generative AI Applications
Google Cloud
This course explores a Retrieval Augmented Generation (RAG) solution in BigQuery to mitigate AI hallucinations. It introduces a RAG workflow that encompasses creating embeddings, searching a vector space, and generating improved answers. The course explains the conceptual reasons behind these steps…
Google Cloud
Explore AI-powered search technologies, tools, and applications in this course. Learn semantic search utilizing vector embeddings, hybrid search combining semantic and keyword approaches, and retrieval-augmented generation (RAG) minimizing AI hallucinations as a grounded AI agent. Gain practical ex…
Pragmatic AI Labs
Master Azure tools for building and deploying robust Large Language Model applications. Learn architectural patterns, automation, and end-to-end solutions for leveraging LLMs in your projects.
Oracle
This course helps you: 1. Understand Large Language Models (LLMs) 2. Become proficient in OCI Generative AI Service 3. Build a Retrieval-Augmented Generation (RAG) based chatbot using OCI Generative AI service
Google Cloud
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you learn how to perform multimodal retrieval augmented generation (RAG) using Vertex AI Gemini API.
Pragmatic AI Labs
Master cutting-edge RAG techniques to enhance LLM applications. Learn embedding strategies, document processing, and advanced retrieval methods for building high-performance AI solutions in enterprise environments. 10 hands-on labs and exercise to "learn by doing".
Google Cloud
Kursus ini mengeksplorasi solusi Retrieval-Augmented Generation (RAG) di BigQuery untuk memitigasi halusinasi AI. Kursus ini akan memperkenalkan alur kerja RAG yang mencakup pembuatan embedding, penelusuran ruang vektor, dan pembuatan jawaban yang lebih baik. Kursus ini akan menjelaskan alasan kons…
Google Cloud
In diesem Kurs wird eine Lösung für Retrieval-Augmented Generation (RAG) in BigQuery vorgestellt, die KI-Halluzinationen minimiert. Sie lernen einen RAG-Workflow kennen, der die Erstellung von Einbettungen, die Suche in einem Vektorraum und die Generierung verbesserter Antworten umfasst. Darüber hi…
Microsoft
Design the core architectural components of production Azure AI solutions. This course explores four disciplines central to enterprise AI architecture: model evaluation and deployment considerations, retrieval augmented generation (RAG), prompt design and evaluation, and model customization strateg…
Google Cloud
This course explores a Retrieval Augmented Generation (RAG) solution in BigQuery to mitigate AI hallucinations. It introduces a RAG workflow that encompasses creating embeddings, searching a vector space, and generating improved answers. The course explains the conceptual reasons behind these steps…
