Filter by
SubjectRequired
LanguageRequired
The language used throughout the course, in both instruction and assessments.
Learning ProductRequired
LevelRequired
DurationRequired
SkillsRequired
SubtitlesRequired
EducatorRequired
Results for "retrieval augmented generation (rag)"
- Status: New
Coursera Instructor Network
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
- Status: Free Trial
Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, Large Language Modeling, Image Analysis
- Status: Free Trial
Skills you'll gain: ChatGPT, Development Environment, Text Mining, Generative AI, OpenAI, Database Management, Data Storage, Data Processing, Natural Language Processing
- Status: New
Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI, Interactive Data Visualization, Text Mining, Data Processing, Unstructured Data, Scalability
- Status: New
Simplilearn
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
- Status: NewStatus: Free Trial
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
- Status: Free Trial
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
- Status: Free Trial
Skills you'll gain: Generative AI, ChatGPT, OpenAI, Prompt Engineering, Large Language Modeling, Artificial Intelligence, Program Development, Content Creation, Image Analysis, Virtual Environment
Duke University
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
- Status: Free Trial
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
- Status: Free
DeepLearning.AI
Skills you'll gain: Large Language Modeling, Data Processing, Data Store, Data Access, Generative AI, Prompt Engineering, Document Management, Query Languages, Natural Language Processing
- Status: Free
DeepLearning.AI
Skills you'll gain: Large Language Modeling, Query Languages, Data Storage Technologies, Data Storage, Semantic Web, Unstructured Data, Graph Theory, Text Mining
Searches related to retrieval augmented generation (rag)
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