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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

    • D

      DeepLearning.AI

      AI for Medicine

      Skills you'll gain: Deep Learning, Statistical Analysis, Clinical Trials, Feature Engineering, Risk Modeling, Treatment Planning, Data Analysis, Precision Medicine, Decision Tree Learning, Predictive Modeling, Patient Treatment, Image Analysis, Machine Learning Methods, Applied Machine Learning, AI Personalization, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Medical Imaging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Intermediate · Specialization · 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

    • D

      DeepLearning.AI

      Natural Language Processing with Classification and Vector Spaces

      Skills you'll gain: Natural Language Processing, Supervised Learning, Dimensionality Reduction, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence, Tensorflow, Linear Algebra, Probability & Statistics

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

      Intermediate · Course · 1 - 4 Weeks

    • V

      Vanderbilt University

      Generative AI for Educators & Teachers

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Ideation, Verification And Validation, Data Validation, Creative Problem-Solving, AI Personalization, Data Synthesis, Image Analysis, Data Capture, Innovation, Brainstorming, OpenAI, Game Design, Data Analysis, Organizational Skills, Artificial Intelligence, Risk Management Framework, Education Software and Technology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Beginner · Specialization · 1 - 3 Months

    • I

      IE Business School

      Marketing Mix Implementation

      Skills you'll gain: Product Lifecycle Management, Marketing Communications, Integrated Marketing Communications, Advertising, Marketing, Brand Strategy, Marketing Budgets, Strategic Decision-Making, Brand Management, Customer experience strategy (CX), Price Negotiation, Marketing Analytics, Marketing Strategies, Marketing Channel, Strategic Marketing, Product Strategy, Revenue Management, Merchandising, Conflict Management, Market Opportunities

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.9K reviews

      Beginner · Specialization · 3 - 6 Months

    • H

      Hebrew University of Jerusalem

      Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)

      Skills you'll gain: Computer Architecture, Computer Hardware, Computational Logic, Computer Programming, System Design and Implementation, Technical Design, Software Design, Program Development, Debugging, Verification And Validation, Development Environment

      4.9
      Rating, 4.9 out of 5 stars
      ·
      3.7K reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Pennsylvania

      Introduction to Programming with Python and Java

      Skills you'll gain: Matplotlib, Object Oriented Design, Java, Object Oriented Programming (OOP), Data Analysis, Unit Testing, Pandas (Python Package), Eclipse (Software), Data Structures, Data Cleansing, Debugging, Pivot Tables And Charts, Data Visualization Software, Software Testing, Integrated Development Environments, Program Development, Programming Principles, Python Programming, Computer Programming, Computational Thinking

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.8K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      FPGA Design for Embedded Systems

      Skills you'll gain: Field-Programmable Gate Array (FPGA), Hardware Design, System Design and Implementation, Electronic Systems, Embedded Systems, Eclipse (Software), Application Specific Integrated Circuits, Electrical and Computer Engineering, Semiconductors, Schematic Diagrams, Program Development, Technical Design, Integrated Development Environments, Computer Architecture, Hardware Architecture, Software Development, Verification And Validation, Computer Engineering, Programming Principles, Development Testing

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • D

      Duke University

      Programming Foundations with JavaScript, HTML and CSS

      Skills you'll gain: Hypertext Markup Language (HTML), HTML and CSS, Cascading Style Sheets (CSS), Web Development, Programming Principles, Javascript, Web Design, Computer Programming, Image Analysis, Computational Thinking, Algorithms, Debugging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15K reviews

      Beginner · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Data Science: Statistics and Machine Learning

      Skills you'll gain: Shiny (R Package), Rmarkdown, Regression Analysis, Leaflet (Software), Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Plotly, Machine Learning Algorithms, Interactive Data Visualization, Probability & Statistics, Data Visualization, Statistical Machine Learning, Feature Engineering, Statistical Analysis, Statistical Modeling, Probability, Data Science, Data Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of California San Diego

      Introduction to Discrete Mathematics for Computer Science

      Skills you'll gain: Graph Theory, Logical Reasoning, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Network Analysis, Public Key Cryptography Standards (PKCS), Algorithms, Theoretical Computer Science, Python Programming, Data Structures, Cybersecurity, Arithmetic, Computer Programming, Mathematical Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google

      Introduction to Git and GitHub

      Skills you'll gain: Git (Version Control System), GitHub, Version Control, Continuous Integration, Software Versioning, Software Development Tools, Code Review, Software Engineering Tools, Issue Tracking, Command-Line Interface, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      7.7K reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to prompt engineering

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    prompt engineering with gpt: programming for custom content
    prompt engineering with llama 2&3
    1…212223…296

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

    • AI for Medicine: DeepLearning.AI
    • Malware Analysis and Introduction to Assembly Language: IBM
    • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
    • Generative AI for Educators & Teachers: Vanderbilt University
    • Marketing Mix Implementation: IE Business School
    • Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course): Hebrew University of Jerusalem
    • Introduction to Programming with Python and Java: University of Pennsylvania
    • FPGA Design for Embedded Systems: University of Colorado Boulder
    • Programming Foundations with JavaScript, HTML and CSS: Duke University
    • Data Science: Statistics and Machine Learning: Johns Hopkins 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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