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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

      Private Cloud Management on IBM Power Systems

      Skills you'll gain: Private Cloud, IBM Cloud, Cloud Management, Virtual Machines, Infrastructure As A Service (IaaS), Systems Administration, Cloud Infrastructure, Cloud Computing, Virtualization and Virtual Machines, Cloud Computing Architecture, Configuration Management, Command-Line Interface, Restful API

      4.9
      Rating, 4.9 out of 5 stars
      ·
      70 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      U
      S

      Multiple educators

      Sustainable and Resilient Operations and Supply Chains

      Skills you'll gain: Environmental Social And Corporate Governance (ESG), Corporate Sustainability, Sustainability Reporting, Supply Chain Management, Business Ethics, Supply Chain, Operations Management, Manufacturing Operations, Supplier Relationship Management, Product Development, Transportation, Supply Chain, and Logistics, Strategic Sourcing, Labor Compliance, Engineering Management, Procurement, Strategic Leadership, Logistics Management, Leadership, Corporate Strategy, Reverse Logistics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      15 reviews

      Beginner · Specialization · 1 - 3 Months

    • D

      Dartmouth College

      C Programming: Advanced Data Types - 5

      Skills you'll gain: C (Programming Language), Embedded Systems, Data Structures, Embedded Software, Programming Principles, Computer Programming, Operating Systems, Linux

      4.4
      Rating, 4.4 out of 5 stars
      ·
      55 reviews

      Beginner · Course · 1 - 3 Months

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Particle Dynamics

      Skills you'll gain: Mechanics, Mechanical Engineering, Engineering Analysis, Physics, Engineering Calculations, Differential Equations, Integral Calculus, Calculus, Applied Mathematics, Trigonometry

      4.6
      Rating, 4.6 out of 5 stars
      ·
      33 reviews

      Intermediate · Course · 3 - 6 Months

    • I

      IBM

      Introducing z/OS UNIX System Services

      Skills you'll gain: Unix Shell, Unix Commands, Unix, File Systems, Operating Systems, System Software, Command-Line Interface, OS Process Management, System Programming, File Management, Development Environment, Debugging

      4.9
      Rating, 4.9 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 1 - 3 Months

    • A

      Arizona State University

      Material Jetting and Stereolithography

      Skills you'll gain: Manufacturing Processes, Process Engineering, Manufacturing Operations, Production Process, Process Analysis, Machine Controls, Experimentation, Prototyping

      4.8
      Rating, 4.8 out of 5 stars
      ·
      20 reviews

      Intermediate · Course · 1 - 4 Weeks

    • N

      National Taiwan University

      工程資訊管理 BIM 基礎

      Skills you'll gain: Autodesk Revit, Building Information Modeling, Civil Engineering, Computer-Aided Design, Architectural Engineering, Construction Management, Simulation and Simulation Software, 3D Modeling, Information Management, Software Installation, Structural Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      89 reviews

      Mixed · Course · 1 - 3 Months

    • A

      Arizona State University

      Battery Comparison, Manufacturing, and Packaging

      Skills you'll gain: Basic Electrical Systems, Power Electronics, Manufacturing Processes, Equipment Design, Production Process, Electronic Components, Thermal Management, Product Engineering, Manufacturing Operations, Quality Assurance, Performance Testing, Environmental Issue, Safety and Security, Emerging Technologies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Data Analysis with Python

      Skills you'll gain: Unsupervised Learning, Regression Analysis, Dimensionality Reduction, Data Analysis, Anomaly Detection, Supervised Learning, Machine Learning, Machine Learning Algorithms, Analytics, Scikit Learn (Machine Learning Library), Predictive Modeling, Statistical Analysis, Applied Machine Learning, Machine Learning Methods, Statistical Modeling, Data-Driven Decision-Making, Exploratory Data Analysis, Classification And Regression Tree (CART), Data Mining, Feature Engineering

      4.6
      Rating, 4.6 out of 5 stars
      ·
      22 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      C

      Corporate Finance Institute

      Practical Data Science for Data Analysts

      Skills you'll gain: Feature Engineering, Data Import/Export, Matplotlib, Exploratory Data Analysis, Data Science, Regression Analysis, Financial Data, Data Analysis, Business Analytics, Data Cleansing, Statistical Methods, Pandas (Python Package), Machine Learning Algorithms, Financial Analysis, Correlation Analysis, Predictive Modeling, Applied Machine Learning, Supervised Learning, Statistical Modeling, Statistical Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      11 reviews

      Advanced · Specialization · 3 - 6 Months

    • U

      Universidad de los Andes

      Introducción al análisis de sistemas de control con MATLAB

      Skills you'll gain: Process Control, Mathematical Modeling, Engineering Analysis, Matlab, Simulation and Simulation Software, Systems Analysis, Systems Design, Differential Equations, Applied Mathematics, Linear Algebra

      4.8
      Rating, 4.8 out of 5 stars
      ·
      48 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Classification Trees in Python, From Start To Finish

      Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Data Transformation, Supervised Learning, Predictive Modeling, Feature Engineering, Scikit Learn (Machine Learning Library), Data Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      230 reviews

      Intermediate · Guided Project · Less Than 2 Hours

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

    • Private Cloud Management on IBM Power Systems: IBM
    • Sustainable and Resilient Operations and Supply Chains: University of Colorado Boulder
    • C Programming: Advanced Data Types - 5: Dartmouth College
    • Particle Dynamics: Korea Advanced Institute of Science and Technology(KAIST)
    • Introducing z/OS UNIX System Services: IBM
    • Material Jetting and Stereolithography: Arizona State University
    • 工程資訊管理 BIM 基礎: National Taiwan University
    • Battery Comparison, Manufacturing, and Packaging: Arizona State University
    • Data Analysis with Python: University of Colorado Boulder
    • Practical Data Science for Data Analysts: Corporate Finance Institute

    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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