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    • Prompt Engineering

    Prompt Engineering Courses

    Prompt engineering courses can help you learn how to design effective prompts that guide AI tools like ChatGPT to generate accurate, relevant, and useful responses.

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    Find the Best Prompt Engineering Course for Your Goals

    • M

      Meta

      Version Control

      Skills you'll gain: Version Control, Unix Commands, Git (Version Control System), GitHub, Linux Commands, Software Versioning, Command-Line Interface, Collaborative Software, File Management, Software Development Tools, Software Development

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      T

      The Pennsylvania State University

      Creativity, Innovation and Transformation

      Skills you'll gain: Creativity, Creative Thinking, Innovation, Creative Problem-Solving, Open Mindset, Ideation, Cultural Diversity, Curiosity, Adaptability, Thought Leadership, Self-Awareness, Overcoming Obstacles, Experimentation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      728 reviews

      Mixed · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      TensorFlow: Advanced Techniques

      Skills you'll gain: Generative AI, Tensorflow, Computer Vision, Image Analysis, Deep Learning, Keras (Neural Network Library), Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Distributed Computing, Computer Graphics, Unsupervised Learning, Network Model, Visualization (Computer Graphics), Network Architecture, Performance Tuning, Machine Learning Methods, API Design, Object Oriented Programming (OOP)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • D

      Duke University

      AI Product Management

      Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Data Ethics, Data Management, Unsupervised Learning, Human Computer Interaction, User Experience Design, Classification And Regression Tree (CART), Data Quality, Human Centered Design, Machine Learning, Human Factors, Regression Analysis, Technical Management, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Artificial Neural Networks, Decision Tree Learning, Data Processing, Personally Identifiable Information

      4.7
      Rating, 4.7 out of 5 stars
      ·
      779 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Leeds

      Managing Major Engineering Projects

      Skills you'll gain: Stakeholder Management, Stakeholder Engagement, Engineering Management, Scope Management, Risk Management, Project Finance, Project Scoping, Program Management, Project Portfolio Management, Project Risk Management, Project Management, Business Risk Management, Governance, Project Management Life Cycle, Project Performance, Contract Management, Financial Analysis, Project Implementation, Return On Investment, Cost Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of London

      Machine Learning for All

      Skills you'll gain: Feature Engineering, Machine Learning, Data Processing, Artificial Intelligence, Supervised Learning, Data Analysis, Computer Vision, Data Collection

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Pennsylvania

      The Materiality of ESG Factors

      Skills you'll gain: Environmental Social And Corporate Governance (ESG), Risk Management, Business Risk Management, Stakeholder Management, Corporate Sustainability, Governance, Portfolio Management, Diversity and Inclusion, Corporate Strategy, Waste Minimization, Environmental Issue, Investments, Business Ethics, Investment Management, Crisis Management, Insurance, Return On Investment, Environmental Resource Management, Financial Analysis, Product Lifecycle Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • T

      The State University of New York

      Solar Energy Basics

      Skills you'll gain: Electric Power Systems, Electrical Systems, Electrical Power, Energy and Utilities, Basic Electrical Systems, Electronic Components, Cost Estimation, Building Codes, Engineering Calculations, Environment and Resource Management, Emerging Technologies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.5K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Introduction to Power Electronics

      Skills you'll gain: Power Electronics, Electronic Systems, Electrical Engineering, USB, Electrical Systems, Electronics, Electric Power Systems, Simulation and Simulation Software, Basic Electrical Systems

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Intermediate · Course · 1 - 4 Weeks

    • N

      New York University

      Introduction to Cyber Security

      Skills you'll gain: Security Engineering, Authentications, Threat Modeling, Network Security, Public Key Infrastructure, Distributed Denial-Of-Service (DDoS) Attacks, Firewall, Cyber Attacks, Cryptography, Infrastructure Security, Cyber Security Strategy, Cybersecurity, Data Encryption Standard, Mobile Security, Enterprise Security, Computer Security, Cyber Risk, Cyber Security Policies, Network Architecture, Security Controls

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • V

      Vanderbilt University

      Microsoft 365 Copilot for Leaders

      Skills you'll gain: Prompt Engineering, Microsoft Copilot, ChatGPT, Ideation, Verification And Validation, Data Validation, Succession Planning, Microsoft 365, Target Audience, Business Writing, Generative AI, Microsoft Teams, Leadership, Meeting Facilitation, Organizational Leadership, Productivity Software, Complex Problem Solving, Strategic Communication, Business Leadership, Proposal Writing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.1K reviews

      Beginner · Specialization · 1 - 3 Months

    • S

      Siemens

      Intro to Siemens NX: Engineering Essentials and Part Design

      Skills you'll gain: 3D Modeling, Computer-Aided Design, Drafting and Engineering Design, Mechanical Design, Simulation and Simulation Software, Engineering Drawings, Prototyping, Manufacturing Processes

      4.5
      Rating, 4.5 out of 5 stars
      ·
      48 reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to prompt engineering

    prompt engineering generative ai for marketing & advertising
    prompt engineering for chatgpt
    prompt engineering for law
    prompt engineering for web developers
    prompt engineering in python, with gpt, and the openai api
    prompt engineering for educators
    prompt engineering with gpt: programming for custom content
    prompt engineering with llama 2&3
    1…252627…296

    In summary, here are 10 of our most popular prompt engineering courses

    • Version Control: Meta
    • Creativity, Innovation and Transformation: The Pennsylvania State University
    • TensorFlow: Advanced Techniques: DeepLearning.AI
    • AI Product Management: Duke University
    • Managing Major Engineering Projects: University of Leeds
    • Machine Learning for All: University of London
    • The Materiality of ESG Factors: University of Pennsylvania
    • Solar Energy Basics: The State University of New York
    • Introduction to Power Electronics: University of Colorado Boulder
    • Introduction to Cyber Security: New York University

    Why Learn Prompt Engineering?

    Prompt engineering is the practice of crafting inputs that optimize how generative AI systems interpret and respond to tasks. It’s a key skill for using tools like ChatGPT, Bard, and Claude across content creation, data analysis, and automation. Learning prompt engineering can help you communicate with AI more effectively, streamline workflows, and unlock new applications in your personal and professional work.

    Frequently Asked Questions about Prompt Engineering

    Prompt Engineering courses on Coursera teach a range of skills crucial for effectively interacting with and utilizing generative AI models, including:

    • Basic and advanced techniques for crafting effective prompts that guide AI behavior
    • Understanding the interaction between language models and user inputs
    • Best practices for iterative prompt design to achieve desired outcomes
    • Strategies for troubleshooting and refining AI outputs
    • Ethical considerations and biases in AI responses
    • Application of prompt engineering in various industries such as marketing, tech, and creative arts‎

    Coursera’s Prompt Engineering courses accommodate learners of all backgrounds:

    • Beginners can start with no prior experience, learning the fundamentals of how AI models interpret and generate responses.
    • Those with some background in programming or AI can enhance their skills with more detailed techniques specific to prompt engineering.
    • Advanced practitioners can engage with courses that cover complex strategies and ethical implications in depth.‎

    By participating in Prompt Engineering courses on Coursera, you can achieve various credentials that showcase your capabilities:

    • Course Certificates: Earn a certificate for each completed course, which can demonstrate your proficiency in specific aspects of prompt engineering.
    • Professional Certificates: These are designed to prepare you for roles that require expertise in managing AI interactions and optimizing AI outputs.
    • Specializations: Focus on deepening your knowledge in prompt engineering with comprehensive course sequences that build expertise applicable to industry needs. ‎

    Skills in Prompt Engineering can open doors to several innovative career paths in industries that utilize AI technologies, such as:

    • AI Interaction Designer: Specializing in designing user interfaces and experiences for AI systems.
    • Generative AI Technician: Managing and refining AI outputs in various tech applications.
    • Content Strategist: Using AI to generate creative and engaging content across media.
    • Product Manager for AI Tools: Overseeing the development and application of AI products.
    • Ethics Compliance Officer: Ensuring AI operations adhere to ethical standards and regulations.

    These roles leverage the specialized skills of prompt engineering to enhance how businesses and consumers interact with AI technologies. ‎

    Looking to enhance your team's Prompt Engineering skills? Coursera provides tailored enterprise solutions for teams ranging of 5-125 employees. Our offerings include advanced analytics, customized learning paths, and collaborative tools. To explore our Prompt Engineering training options and make a purchase, please visit our Coursera for Teams page.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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