Tool Calling

Tool Calling is a powerful technique that enables Large Language Models (LLMs) to access and utilize real-time data from external sources such as APIs and databases. Coursera's Tool Calling catalogue teaches you how to implement this crucial skill in AI development, enhancing the capabilities of language models. You'll learn to design and execute both traditional and embedded tool calling methods, understand the process of defining tools, manage tool execution, and mitigate issues like hallucination in LLM responses. This skill empowers you to create more intelligent, context-aware AI systems that can perform complex tasks by seamlessly integrating external data and functionalities, making it an essential competency for AI developers and data scientists in building advanced, real-world AI applications.

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Results for "Tool Calling"

  • Skills you'll gain: Agentic systems, Tool Calling, Agentic Workflows, Generative AI Agents, Gemini, Google Gemini, LLM Application, AI Integrations, OpenAI, Middleware, Angular, Development Environment, Server Side, Systems Architecture, Node.JS, Frontend Integration, Debugging, Data Validation

  • 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: Swift Programming, Apple iOS, Tool Calling, Prompt Engineering, iOS Development, Mobile Development, LLM Application, Generative AI, Large Language Modeling, Prompt Engineering Tools, AI Workflows, AI Integrations, Responsible AI, AI literacy, User Interface (UI), Application Programming Interface (API), Context Management, Computer Programming Tools, Python Programming, Graphical Tools

  • Skills you'll gain: DeepSeek API, Deepseek, Agentic Workflows, Retrieval-Augmented Generation, AI Workflows, Generative AI Agents, AI Orchestration, Tool Calling, LLM Application, Prompt Engineering, Application Deployment, Application Programming Interface (API), Agentic systems, Generative AI, Embeddings, Artificial Intelligence, Model Evaluation, Python Programming, Large Language Modeling, Vector Databases

  • Skills you'll gain: AI Workflows, LangGraph, AI Orchestration, Generative AI Agents, Agentic Workflows, Retrieval-Augmented Generation, Responsible AI, LangChain, Tool Calling, Large Language Modeling, Generative AI, Prompt Engineering, Agentic systems, Artificial Intelligence, Image Analysis, Application Deployment, Natural Language Processing, Computer Vision, Context Management, Application Programming Interface (API)

  • Skills you'll gain: Model Context Protocol, Amazon Web Services, AI Workflows, Google Gemini, AI Integrations, AI Orchestration, OpenAI API, AWS Identity and Access Management (IAM), Retrieval-Augmented Generation, LLM Application, Agentic systems, Generative AI, Front-End Web Development, Tool Calling, Serverless Computing, Vector Databases, Node.JS, Back-End Web Development, Large Language Modeling, Event-Driven Programming

  • Skills you'll gain: Agentic Workflows, Generative AI Agents, Agentic systems, LangGraph, AI Orchestration, LLM Application, CrewAI, Generative Model Architectures, AI Workflows, Large Language Modeling, Generative AI, LangChain, Retrieval-Augmented Generation, Tool Calling, Process Design, Artificial Intelligence and Machine Learning (AI/ML), Prompt Engineering, Responsible AI, Enterprise Architecture, Artificial Intelligence

  • Skills you'll gain: Model Context Protocol, Claude Code, GitHub Copilot, Vibe coding, Anthropic Claude, AI Workflows, AI Integrations, Hypertext Markup Language (HTML), Web Applications, Generative AI Agents, Tool Calling, Web Design and Development, GitHub, Context Management, OpenAI API, Agentic Workflows, Prompt Engineering, Web Development, Generative AI, Software Engineering

  • Skills you'll gain: AI Orchestration, AI Workflows, LangGraph, Agentic Workflows, LangChain, LLM Application, Tool Calling, Agentic systems, Generative AI Agents, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Prompt Patterns, Retrieval-Augmented Generation, Prompt Engineering, AI Integrations, Application Development, Data Visualization, Responsible AI, Large Language Modeling, Risking

  • Skills you'll gain: Tool Calling, Retrieval-Augmented Generation, LLM Application, Prompt Patterns, Large Language Modeling, LangChain, Responsible AI, AI Security, Prompt Engineering, Data Validation, Verification And Validation, Data Access, Authorization (Computing), Real Time Data, Azure DevOps, Model Evaluation, Microsoft Azure, Cloud Computing, Python Programming, Restful API

  • 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: Retrieval-Augmented Generation, Model Context Protocol, Agentic Workflows, Prompt Engineering, Anthropic Claude, AI Orchestration, Application Programming Interface (API), Prompt Patterns, Prompt Engineering Tools, LLM Application, JSON, AI Integrations, Generative AI Agents, AI literacy, Tool Calling, Generative AI, Scripting, Token Optimization, Document Management, Agentic systems