LangChain

LangChain courses can help you learn how to build applications that connect large language models with external data, tools, and workflows. You can build skills in prompt chaining, retrieval methods, agent design, and structuring multi-step tasks. Many courses introduce tools such as Python libraries, vector databases, and APIs that support creating, testing, and refining LangChain-powered AI applications.

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Build job-relevant skills in under 2 hours with hands-on tutorials.
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Results for "LangChain"

  • Skills you'll gain: Prompt Engineering, AI Orchestration, AI Workflows, LangGraph, Agentic Workflows, LangChain, Retrieval-Augmented Generation, Prompt Patterns, Prompt Engineering Tools, LLM Application, Tool Calling, Agentic systems, Multimodal Prompts, Model Context Protocol, Generative AI Agents, Generative AI, AI Security, Vector Databases, AI Integrations, Software Development

  • Skills you'll gain: LangGraph, AI Workflows, Agentic Workflows, AI Orchestration, Generative AI Agents, Agentic systems, LangChain, LLM Application, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Prompt Patterns, Retrieval-Augmented Generation, Tool Calling, Responsible AI, Risking, Context Management, Software Development, Python Programming, Data Science

  • Skills you'll gain: Prompt Engineering, LLM Application, OpenAI API, LangGraph, Generative AI Agents, AI Orchestration, LangChain, Agentic systems, AI Workflows, OpenAI, Agentic Workflows, Hugging Face, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Embeddings, Artificial Intelligence, Data Processing, Vector Databases, Retrieval-Augmented Generation, Python Programming

  • Skills you'll gain: LangChain, LLM Application, Large Language Modeling, Retrieval-Augmented Generation, Generative AI Agents, Prompt Engineering, Prompt Patterns, Generative Model Architectures, AI Workflows

  • Skills you'll gain: LangChain, LLM Application, Large Language Modeling, Prompt Engineering, API Design, MLOps (Machine Learning Operations), Performance Tuning, Microservices, Application Deployment, Kubernetes, Scalability, Site Reliability Engineering, DevOps, CI/CD, Docker (Software), Containerization, System Monitoring, Cloud Platforms, Python Programming, Security Controls

  • Skills you'll gain: Prompt Engineering, Prompt Patterns, Unit Testing, Large Language Modeling, LangChain, Generative AI, Retrieval-Augmented Generation, Data Wrangling, Responsible AI, Exploratory Data Analysis, Unsupervised Learning, Model Evaluation, Generative Model Architectures, PyTorch (Machine Learning Library), LLM Application, Keras (Neural Network Library), Supervised Learning, Vector Databases, Fine-tuning, Data Import/Export

  • Skills you'll gain: Retrieval-Augmented Generation, LangChain, LLM Application, Large Language Modeling, Embeddings, Data Processing, Data Store, Data Access, Vector Databases, Prompt Engineering, Document Management

  • Skills you'll gain: LangChain, Prompt Engineering, Retrieval-Augmented Generation, LangGraph, AI Orchestration, Model Deployment, Prompt Patterns, LLM Application, Generative AI Agents, Generative AI, Agentic Workflows, AI Security, OpenAI, Tool Calling, Generative Model Architectures, Prompt Engineering Tools, OpenAI API, AI Workflows, Large Language Modeling, Model Context Protocol

  • DeepLearning.AI

    Skills you'll gain: LangGraph, LangChain, AI Workflows, AI Orchestration, LLM Application, Agentic Workflows, Generative AI Agents, Agentic systems, Data Persistence, Context Management

  • Skills you'll gain: LangChain, LLM Application, Tool Calling, ChatGPT, Large Language Modeling, Generative AI Agents, Application Development, Python Programming

  • Skills you'll gain: LangChain, LangGraph, Model Context Protocol, AI Workflows, LLM Application, Context Engineering, AI Orchestration, Agentic Workflows, Generative AI Agents, Tool Calling, Model Deployment, Data Processing, Data Transformation, Retrieval-Augmented Generation, Agentic systems, Generative AI, Gemini, Artificial Intelligence, Prompt Engineering, Responsible AI

  • Skills you'll gain: LangChain, LLM Application, Hugging Face, Retrieval-Augmented Generation, Prompt Patterns, LangGraph, Model Deployment, AI Workflows, Large Language Modeling, AI Orchestration, Generative AI, Token Optimization, Generative Model Architectures, AI Integrations, Fine-tuning, Embeddings, Data Pipelines, Containerization, Restful API, Docker (Software)