Results for "vector search"
Google Cloud
Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Vector Databases, LLM Application, Generative AI Agents, Generative AI, Large Language Modeling, Natural Language Processing, Google Cloud Platform
Skills you'll gain: Vector Databases, Hugging Face, MongoDB, Embeddings, NoSQL, AI Personalization, Artificial Intelligence, PostgreSQL, Relational Databases, Database Management Systems, Generative AI, Operational Databases, SQL, Databases, Database Systems, LLM Application, Query Languages, Applied Machine Learning, Machine Learning, Data Science
Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Google Gemini, Vector Databases, Generative AI, Google Cloud Platform
Google Cloud
Skills you'll gain: Google Cloud Platform, Dataflow, Big Data, Data Pipelines, Data Store, Serverless Computing, Data Migration, Model Training, Apache Hadoop, Data Storage Technologies, Identity and Access Management, Data Storage, Tensorflow, Cloud Storage, AI Personalization, Advanced Analytics, Applied Machine Learning, Site Reliability Engineering, AI Integrations, Data Processing
Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, LLM Application, User Interface (UI), Embeddings, Large Language Modeling, UI Components, Performance Tuning
Skills you'll gain: Keyword Research, Search Engine Optimization, Generative AI, AI Integrations
What brings you to Coursera today?
Pragmatic AI Labs
Skills you'll gain: Prompt Engineering, MLOps (Machine Learning Operations), Data Pipelines, Databricks, Generative AI, Data Lakes, Generative AI Agents, Data Governance, Data Architecture, AI Enablement, Data Modeling, Data Management, Data Processing, Data Strategy, Data Quality, Scala Programming, SQL, Python Programming, Data Visualization, Data Literacy
Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, Data-Driven Decision-Making, Applied Machine Learning, Image Analysis, LLM Application, Model Optimization, Data Flow Diagrams (DFDs), Database Theory, Docker (Software), Prompt Engineering, Database Design, NumPy, AI Integrations, Databases, Scikit Learn (Machine Learning Library), Semantic Web, Simulations, Python Programming
Coursera
Skills you'll gain: Vector Databases, Semantic Web, Model Optimization, Embeddings, Application Programming Interface (API)
Skills you'll gain: Vector Databases, Retrieval-Augmented Generation, Embeddings, Performance Tuning, Applied Machine Learning, LangChain, Document Management, Docker (Software), Agentic systems, Generative AI, Generative Model Architectures, Model Deployment, LLM Application, Technical Communication, Multimodal Prompts, Search Engine Optimization, Metadata Management, Data Pipelines, Machine Learning, Data Migration
Coursera
Skills you'll gain: Vector Databases, Embeddings, Semantic Web, Flask (Web Framework), API Testing, Model Deployment, Application Programming Interface (API), Python Programming, Quality Assurance
Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Generative AI, Performance Tuning, Data Migration, Grafana, LangChain, LLM Application, Metadata Management, Containerization, Document Management, Data Infrastructure, Role-Based Access Control (RBAC), Database Architecture and Administration, Infrastructure Architecture, Large Language Modeling, Query Languages, Quantitative Research, Data Modeling, Docker (Software)
In summary, here are 10 of our most popular vector search courses
- Vector Search and Embeddings:Â Google Cloud
- Vector Database Fundamentals:Â IBM
- Create Embeddings, Vector Search, and RAG with BigQuery:Â Google Cloud
- Vertex AI Search for Retail:Â Google Cloud
- Advanced RAG with Vector Databases and Retrievers:Â IBM
- Generative AI for Keyword Research:Â Coursera
- Enterprise AI and Data Engineering with Databricks:Â Pragmatic AI Labs
- Vector DB Foundations, Embeddings & Search Algorithms:Â Coursera
- Blend Hybrid Search:Â Coursera
- Vector Databases for Machine Learning: A Comprehensive Guide:Â Coursera
