Prompt Engineering

Prompt Engineering is the process of designing and refining input prompts to optimize AI-generated responses in natural language processing. This skill requires an understanding of machine learning models, linguistic structures, and prompt formatting techniques to achieve desired outputs. Professionals in AI development, content creation, and automation leverage prompt engineering to enhance chatbot performance, creative writing, and data analysis. Effective prompt engineering improves AI-human interaction, workflow efficiency, and adaptive learning capabilities.
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Find the best Prompt Engineering course for your goals

  • Status: New
    Status: Free Trial

    Skills you'll gain: Prompt Engineering, LangChain, Tool Calling, LangGraph, Agentic systems, Multimodal Prompts, Generative AI, LLM Application, Generative AI Agents, Responsible AI, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), Application Design, Application Development, Large Language Modeling, UI Components, Semantic Web, Data Storage Technologies, Databases, Software Development

  • Status: Free Trial

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Large Language Modeling, Responsible AI, AI Personalization, Mobile Development, ChatGPT, Anthropic Claude, Artificial Intelligence, LLM Application, Software Development Tools, Software Testing, Apple iOS, Test Automation, AI Product Strategy, Software Development, Machine Learning Methods, DevSecOps, Artificial Intelligence and Machine Learning (AI/ML)

  • Status: Preview

    Skills you'll gain: Prompt Engineering, Risk Modeling, Risk Analysis, Continuous Monitoring, Generative AI, Risk Management, Operational Risk, Data-Driven Decision-Making, Business Risk Management, Data Integration, Anomaly Detection, Threat Detection, Automation

  • Status: New
    Status: Free Trial

    Skills you'll gain: Generative AI, LLM Application, Large Language Modeling, Generative Model Architectures, ChatGPT, OpenAI, Generative AI Agents, Prompt Patterns, Applied Machine Learning, Prompt Engineering, Deep Learning, Application Programming Interface (API), Natural Language Processing, Machine Learning Algorithms

  • Status: Free Trial

    Skills you'll gain: Responsible AI, Prompt Engineering, Google Gemini, Prompt Patterns, Generative AI, Multimodal Prompts, Keras (Neural Network Library), Generative Model Architectures, Cloud Security, Data Ethics, Tensorflow, Information Privacy, Google Cloud Platform, Artificial Intelligence, Image Analysis, Semantic Web, AI Product Strategy, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning

  • Status: New

    Skills you'll gain: Generative AI, Google Gemini, Prompt Engineering, Big Data, Google Cloud Platform, LLM Application, Responsible AI, Natural Language Processing

What brings you to Coursera today?

  • Status: New

    Skills you'll gain: Generative AI, Google Gemini, Prompt Engineering, LLM Application, Data Pipelines, Google Cloud Platform, Algorithms

  • Status: New

    Skills you'll gain: Generative AI, Google Gemini, Large Language Modeling, Prompt Engineering, Responsible AI, LLM Application, Google Cloud Platform, Big Data, Database Development

  • Status: New

    Skills you'll gain: Google Gemini, Generative AI, Prompt Engineering, LLM Application, Big Data

  • Status: Free Trial

    Skills you'll gain: Prompt Engineering, Large Language Modeling, LLM Application, ChatGPT, Application Programming Interface (API), Development Environment, Generative AI, JSON, Natural Language Processing, Persona (User Experience), Artificial Intelligence, User Interface (UI)

  • Status: Free Trial

    Skills you'll gain: Google Gemini, Generative AI, Prompt Engineering, LLM Application, Responsible AI, Google Cloud Platform, Natural Language Processing

  • Status: New
    Status: Preview

    Skills you'll gain: Generative AI, Google Gemini, Prompt Engineering, Large Language Modeling, Big Data, Responsible AI, Google Cloud Platform, Database Development, Scalability

What brings you to Coursera today?

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