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    • Prompt Engineering

    Prompt Engineering Courses Online

    Master prompt engineering for optimizing AI models. Learn to design effective prompts for machine learning and natural language processing tasks.

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    Explore the Prompt Engineering Course Catalog

    • G

      Google Cloud

      Gemini for end-to-end SDLC - 繁體中文

      Skills you'll gain: Debugging, Web Applications, Development Testing, Application Development, Web Development, Generative AI, Software Development Life Cycle, Software Development Tools, Application Lifecycle Management, Google Cloud Platform, Artificial Intelligence

      Beginner · Course · 1 - 4 Weeks

    • D

      Dartmouth College

      Master of Engineering in Computer Engineering

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • W

      West Virginia University

      Master of Science in Software Engineering

      Skills you'll gain: Unified Modeling Language, Verification And Validation, Threat Modeling, Enterprise Architecture, Security Management, Secure Coding, Scope Management, Application Security, Financial Statements, Proposal Development, Cash Flows, Object Oriented Design, Requirements Analysis, Software Design, Security Requirements Analysis, Database Design, Software Visualization, Object Oriented Programming (OOP), Business Process Management, Mobile Development

      Earn a degree

      Degree · 1 - 4 Years

    • N

      Northeastern University

      Master of Science in Data Analytics Engineering

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Colorado Boulder

      Semiconductor Photonics Graduate Certificate

      Skills you'll gain: Semiconductors, Power Electronics, Display Devices, Control Systems, Computer Displays, Electronic Systems, Systems Design, Technical Design, Electrical Engineering, Electronic Components, USB, Electrical Systems, Electronics, Electronic Hardware, Electric Power Systems, Electronics Engineering, Systems Analysis, Simulation and Simulation Software, Equipment Design, Performance Tuning

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • G

      Google Cloud

      Gemini in Google Slides - 日本語版

      Skills you'll gain: Presentations, Generative AI, Google Workspace, Prompt Engineering

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Power Electronics Graduate Certificate

      Skills you'll gain: Power Electronics, Debugging, Tensorflow, Computer Vision, Display Devices, Control Systems, Computer Displays, Image Analysis, Electronic Systems, PyTorch (Machine Learning Library), Artificial Neural Networks, Systems Design, Applied Machine Learning, Electrical Engineering, USB, Semiconductors, Technical Design, Electrical Systems, Computer Programming Tools, Deep Learning

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • U

      University of Colorado Boulder

      Industrial Internet of Things Graduate Certificate

      Skills you'll gain: Real-Time Operating Systems, Power Electronics, Machine Learning Algorithms, Embedded Systems, Engineering Documentation, Product Development, Product Planning, Internet Of Things, Control Systems, User Experience, Data Analysis, Debugging, General Networking, Usability, User Interface (UI), Telecommunications, Data Processing, Process Control, Machine Controls, Embedded Software

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • U

      Universidad de los Andes

      Maestría en Inteligencia Analítica de Datos

      Skills you'll gain: Systems Thinking, Network Analysis, Unsupervised Learning, Data Storytelling, Deep Learning, Predictive Modeling, Data Presentation, Risk Analysis, Time Series Analysis and Forecasting, Project Management Life Cycle, MLOps (Machine Learning Operations), Marketing Analytics, Cash Flows, Matplotlib, Descriptive Analytics, Statistical Analysis, Simulations, Random Forest Algorithm, Operations Research, Solution Design

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      P

      Packt

      Kubernetes Essentials - Deploying and Managing Applications

      Skills you'll gain: Kubernetes, Cloud-Native Computing, YAML, Containerization, Devops Tools, Application Deployment, Command-Line Interface, Software Installation, Infrastructure Architecture, Microservices, Scalability

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Exploit Development, Malware, & Defensive Strategies

      Skills you'll gain: Penetration Testing, Malware Protection, Object Oriented Programming (OOP), Cybersecurity, Network Security, Vulnerability Scanning, Network Analysis, Information Systems Security, Network Protocols, Scripting, Python Programming, Command-Line Interface, Remote Access Systems

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      F

      Fred Hutchinson Cancer Center

      Wrangling Computing Environments: Using Docker for Research

      Skills you'll gain: CI/CD, Containerization, Docker (Software), Development Environment, Application Deployment, Devops Tools, Debugging, GitHub, Software Versioning, Command-Line Interface, Software Installation

      Intermediate · Course · 1 - 3 Months

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    1…293294295296

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

    • Gemini for end-to-end SDLC - 繁體中文: Google Cloud
    • Master of Engineering in Computer Engineering: Dartmouth College
    • Master of Science in Software Engineering: West Virginia University
    • Master of Science in Data Analytics Engineering: Northeastern University
    • Semiconductor Photonics Graduate Certificate: University of Colorado Boulder
    • Gemini in Google Slides - 日本語版: Google Cloud
    • Power Electronics Graduate Certificate: University of Colorado Boulder
    • Industrial Internet of Things Graduate Certificate: University of Colorado Boulder
    • Maestría en Inteligencia Analítica de Datos: Universidad de los Andes
    • Kubernetes Essentials - Deploying and Managing Applications: Packt

    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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