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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

    • Status: Free Trial
      Free Trial
      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
      ·
      6K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      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 Trial
      Free Trial
      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
      ·
      7.8K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      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

    • Status: Free Trial
      Free Trial
      G

      Google

      Using Python to Interact with the Operating System

      Skills you'll gain: Bash (Scripting Language), Unit Testing, Scripting, Unix Shell, Shell Script, Linux Commands, Test Driven Development (TDD), Unix Commands, Unix, Scripting Languages, Development Environment, Operating Systems, Command-Line Interface, File Management, OS Process Management, Automation, Debugging, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.5K reviews

      Beginner · Course · 1 - 3 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

    • Status: Free Trial
      Free Trial
      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

    • Status: Free Trial
      Free Trial
      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

    • Status: Free
      Free
      P

      Princeton University

      Computer Architecture

      Skills you'll gain: Microarchitecture, Computer Architecture, Hardware Architecture, Computer Systems, Computer Engineering, Distributed Computing, Operating Systems, Performance Tuning, Scalability

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

      Advanced · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      C

      Copenhagen Business School

      Strategic Management and Innovation

      Skills you'll gain: Business Strategy, Business Planning, Strategic Decision-Making, Strategic Thinking, Plan Execution, Goal Setting, Organizational Strategy, Resource Management, Peer Review, Competitive Analysis, Innovation, Organizational Structure, Project Implementation, Market Analysis, Culture Transformation, Change Management, Business Strategies, Global Marketing, Strategic Communication, Strategic Leadership

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI: Introduction and Applications

      Skills you'll gain: Generative AI, ChatGPT, OpenAI, Prompt Engineering, Large Language Modeling, Artificial Intelligence, Program Development, Content Creation, Image Analysis, Virtual Environment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Virginia

      How Things Work: An Introduction to Physics

      Skills you'll gain: Mechanics, Torque (Physics), Physics, Energy and Utilities, Experimentation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3K reviews

      Intermediate · Course · 1 - 3 Months

    Searches related to prompt engineering

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    1…232425…304

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

    • Marketing Mix Implementation: IE Business School
    • Reinforcement Learning: University of Alberta
    • Introduction to Git and GitHub: Google
    • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
    • Using Python to Interact with the Operating System: Google
    • Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course): Hebrew University of Jerusalem
    • Programming Foundations with JavaScript, HTML and CSS: Duke University
    • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
    • Computer Architecture: Princeton University
    • Strategic Management and Innovation: Copenhagen Business School

    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

    Top courses include Prompt Engineering for ChatGPT from Vanderbilt University, which covers crafting effective prompts for large language models, and Essentials of Prompt Engineering from AWS, which explores prompt engineering in broader AI contexts.‎

    Yes. Many prompt engineering and generative AI courses offer a free audit option, allowing learners to access video lessons and reading materials at no cost. To complete assignments or earn a certificate, you’ll need to upgrade or apply for financial aid.‎

    You’ll learn how to create prompts that yield accurate, creative, and contextually relevant responses from AI tools. Topics include prompt types (like zero-shot and few-shot), iterative refinement, and ethical considerations in AI interaction.‎

    Not necessarily. Many courses are designed for general learners and provide hands-on practice without requiring programming. For more advanced topics—like using APIs or automating prompts—coding experience can be helpful.‎

    Yes. Prompt engineering is a valuable skill in fields like content creation, marketing, customer support, and data analysis. Coursera courses can help you develop these in-demand skills, earn certificates, and show how you can effectively collaborate with AI.‎

    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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