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    Results for "retrieval augmented generation (rag)"

    • Status: New
      New
      C

      Coursera Instructor Network

      Introduction to Retrieval Augmented Generation (RAG)

      Skills you'll gain: Prompt Engineering, Large Language Modeling, ChatGPT, OpenAI, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Application Development, Data Store, Data Storage Technologies

      4.3
      Rating, 4.3 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI: Prompt Engineering Basics

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, Large Language Modeling, Image Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Scrimba

      Retrieval-Augmented Generation (RAG) with Embeddings & Vector Databases

      Skills you'll gain: ChatGPT, Development Environment, Text Mining, Generative AI, OpenAI, Database Management, Data Storage, Data Processing, Natural Language Processing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      29 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Master Retrieval-Augmented Generation (RAG) Systems

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI, Interactive Data Visualization, Text Mining, Data Processing, Unstructured Data, Scalability

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      S

      Simplilearn

      Foundations of Generative AI Models

      Skills you'll gain: Generative AI, OpenAI, ChatGPT, Prompt Engineering, Large Language Modeling, Real Time Data, Deep Learning, Scalability, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, PyTorch (Machine Learning Library), Emerging Technologies, Data Ethics, Natural Language Processing, Innovation

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      IBM RAG and Agentic AI

      Skills you'll gain: Prompt Engineering, Generative AI, Agentic systems, Generative AI Agents, Large Language Modeling, ChatGPT, OpenAI, Artificial Intelligence, Image Analysis, Application Development, Database Systems, Data Storage Technologies, Databases, Full-Stack Web Development, Natural Language Processing, Flask (Web Framework), Database Management, JSON, Reinforcement Learning, Application Frameworks

      4.9
      Rating, 4.9 out of 5 stars
      ·
      16 reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Generative AI Engineering

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Predictive Modeling, Supervised Learning, Feature Engineering, Generative AI, Keras (Neural Network Library), Deep Learning, Flask (Web Framework), Exploratory Data Analysis, Data Wrangling, Unit Testing, Natural Language Processing, ChatGPT, Data Analysis, Jupyter, Artificial Intelligence, Unsupervised Learning, PyTorch (Machine Learning Library), OpenAI

      4.6
      Rating, 4.6 out of 5 stars
      ·
      87K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI: Introduction and Applications

      Skills you'll gain: Generative AI, ChatGPT, OpenAI, Prompt Engineering, Large Language Modeling, Artificial Intelligence, Program Development, Content Creation, Image Analysis, Virtual Environment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      Duke University

      Introduction to Retrieval Augmented Generation (RAG)

      Skills you'll gain: Data Import/Export, Pandas (Python Package), Generative AI, OpenAI, Application Programming Interface (API), Data Manipulation, Large Language Modeling, Databases, Natural Language Processing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      40 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      IBM

      Fundamentals of AI Agents Using RAG and LangChain

      Skills you'll gain: Prompt Engineering, Generative AI Agents, Large Language Modeling, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Application Development, Artificial Intelligence, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      94 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      D

      DeepLearning.AI

      LangChain Chat with Your Data

      Skills you'll gain: Large Language Modeling, Data Processing, Data Store, Data Access, Generative AI, Prompt Engineering, Document Management, Query Languages, Natural Language Processing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      605 reviews

      Beginner · Project · Less Than 2 Hours

    • Status: Free
      Free
      D

      DeepLearning.AI

      Knowledge Graphs for RAG

      Skills you'll gain: Large Language Modeling, Query Languages, Data Storage Technologies, Data Storage, Semantic Web, Unstructured Data, Graph Theory, Text Mining

      4.7
      Rating, 4.7 out of 5 stars
      ·
      72 reviews

      Intermediate · Project · Less Than 2 Hours

    Searches related to retrieval augmented generation (rag)

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    retrieval-augmented generation (rag) with embeddings & vector databases
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    In summary, here are 10 of our most popular retrieval augmented generation (rag) courses

    • Introduction to Retrieval Augmented Generation (RAG): Coursera Instructor Network
    • Generative AI: Prompt Engineering Basics: IBM
    • Retrieval-Augmented Generation (RAG) with Embeddings & Vector Databases: Scrimba
    • Master Retrieval-Augmented Generation (RAG) Systems: Packt
    • Foundations of Generative AI Models: Simplilearn
    • IBM RAG and Agentic AI: IBM
    • IBM Generative AI Engineering: IBM
    • Generative AI: Introduction and Applications: IBM
    • Introduction to Retrieval Augmented Generation (RAG): Duke University
    • Fundamentals of AI Agents Using RAG and LangChain: IBM

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