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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

    • I

      IBM

      IBM Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Generative AI, Dimensionality Reduction, Reinforcement Learning, Data Cleansing, Data Access, Deep Learning, Data Analysis, Regression Analysis, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Statistical Analysis, Statistical Inference, Statistical Hypothesis Testing, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library)

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.1K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • G

      Google

      Create High-Fidelity Designs and Prototypes in Figma

      Skills you'll gain: Figma (Design Software), Usability Testing, Design Reviews, Mockups, User Experience Design, Prototyping, User Centered Design, User Interface (UI) Design, Design Elements And Principles, Interaction Design, Typography, User Research, Color Theory

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.6K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Toronto

      Self-Driving Cars

      Skills you'll gain: Computer Vision, Image Analysis, Control Systems, Embedded Software, Automation, Deep Learning, Software Architecture, Simulations, Safety Assurance, Artificial Neural Networks, Global Positioning Systems, Hardware Architecture, Systems Architecture, Artificial Intelligence, Estimation, Algorithms, Machine Learning Methods, Predictive Modeling, Scenario Testing, Spatial Data Analysis

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

      Advanced · Specialization · 3 - 6 Months

    • Status: Free
      Free
      T

      The University of Sydney

      Introduction to Calculus

      Skills you'll gain: Calculus, Integral Calculus, Algebra, Advanced Mathematics, Geometry, Applied Mathematics, Engineering Calculations, Trigonometry, Arithmetic, Derivatives, Mathematical Modeling, Graphing, Estimation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.8K reviews

      Intermediate · Course · 1 - 3 Months

    • I

      IBM

      IBM Introduction to Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Dimensionality Reduction, Data Cleansing, Data Access, Regression Analysis, Data Analysis, Machine Learning Algorithms, Machine Learning, Statistical Inference, Statistical Hypothesis Testing, Data Quality, Data Science, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Applied Machine Learning, Probability & Statistics, Predictive Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Washington

      Machine Learning

      Skills you'll gain: Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Image Analysis, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Bayesian Statistics, Statistical Modeling, Artificial Intelligence, Deep Learning, Data Mining, Computer Vision, Statistical Machine Learning, Predictive Analytics, Text Mining, Machine Learning Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      16K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      U

      University of Glasgow

      Biomedical Visualisation

      Skills you'll gain: Visualization (Computer Graphics), Medical Terminology, Augmented and Virtual Reality (AR/VR), Anatomy, Computer Graphics, Virtual Reality, Animations, Image Analysis, Biology, Medical Imaging, Augmented Reality

      4.6
      Rating, 4.6 out of 5 stars
      ·
      500 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of California, Davis

      Introduction to Google SEO

      Skills you'll gain: Search Engine Optimization, Web Analytics and SEO, Target Audience, Keyword Research, Consumer Behaviour, Google Analytics, Marketing, Digital Marketing, User Research, Content Strategy, Web Content

      4.6
      Rating, 4.6 out of 5 stars
      ·
      10K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Alberta

      Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Simulations, Solution Architecture, Feature Engineering, Artificial Intelligence and Machine Learning (AI/ML), Markov Model, Supervised Learning, Algorithms, Performance Testing, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution, Debugging

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

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      P

      Pontificia Universidad Católica de Chile

      Camino a la Excelencia en Gestión de Proyectos

      Skills you'll gain: Lean Methodologies, Lean Manufacturing, Process Improvement, Culture Transformation, Project Management, Process Mapping, Organizational Change, Continuous Improvement Process, Contract Management, Cross-Functional Collaboration

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.8K reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Malware Analysis and Introduction to Assembly Language

      Skills you'll gain: Malware Protection, Cyber Threat Hunting, Cyber Security Assessment, Application Security, Threat Detection, Network Analysis, Virtual Machines, Code Review, Debugging, System Programming, Microsoft Windows, Windows PowerShell, Programming Principles, Computer Architecture, Excel Macros, Linux

      4.5
      Rating, 4.5 out of 5 stars
      ·
      79 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Algorithms for Battery Management Systems

      Skills you'll gain: Electrical Systems, Electrical Safety, Simulations, Thermal Management, Basic Electrical Systems, Estimation, Power Electronics, Control Systems, Systems Engineering, Electrical Engineering, Mathematical Modeling, Electronic Components, High Voltage, Electrical Power, Electronic Systems, Energy and Utilities, Matlab, Failure Analysis, Electrical Substation, Numerical Analysis

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.5K reviews

      Intermediate · Specialization · 3 - 6 Months

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    1…202122…296

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

    • IBM Machine Learning: IBM
    • Create High-Fidelity Designs and Prototypes in Figma: Google
    • Self-Driving Cars: University of Toronto
    • Introduction to Calculus: The University of Sydney
    • IBM Introduction to Machine Learning: IBM
    • Machine Learning: University of Washington
    • Biomedical Visualisation: University of Glasgow
    • Introduction to Google SEO: University of California, Davis
    • Reinforcement Learning: University of Alberta
    • Camino a la Excelencia en Gestión de Proyectos: Pontificia Universidad Católica de Chile

    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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