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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
      A

      Arizona State University

      Materials Science for Technological Application

      Skills you'll gain: Failure Analysis, Semiconductors, Manufacturing Processes, Structural Analysis, Mechanical Engineering, Chemical Engineering, Chemistry, Thermal Management, Engineering, Production Process, Laboratory Testing, Physical Science, Physics, Process Engineering, Mechanics, Engineering Analysis, Engineering Calculations

      4.7
      Rating, 4.7 out of 5 stars
      ·
      194 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Introduction to Microsoft Copilot

      Skills you'll gain: Prompt Engineering, Microsoft Copilot, Generative AI, Microsoft 365, Workflow Management, Microsoft Teams, Artificial Intelligence and Machine Learning (AI/ML), Productivity Software, Artificial Intelligence, Microsoft PowerPoint, Microsoft Word, Microsoft Excel

      4.4
      Rating, 4.4 out of 5 stars
      ·
      55 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI and LLMs: Architecture and Data Preparation

      Skills you'll gain: Large Language Modeling, Generative AI, Data Pipelines, PyTorch (Machine Learning Library), Natural Language Processing, Text Mining, Artificial Intelligence, Deep Learning, Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      265 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      G

      Georgia Institute of Technology

      Materials Data Sciences and Informatics

      Skills you'll gain: Data Science, Data Mining, Data Integration, Data-Driven Decision-Making, Information Management, Data Processing, Manufacturing Processes, Engineering Analysis, Process Engineering, Big Data, Chemical Engineering, Predictive Modeling, Statistics, Innovation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      348 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Machine Learning Operations (MLOps): Getting Started

      Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, DevOps, Machine Learning Software, Continuous Deployment, Machine Learning, Continuous Integration, Continuous Monitoring, Automation, Software Development Methodologies

      4
      Rating, 4 out of 5 stars
      ·
      465 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      T

      The Hong Kong University of Science and Technology

      Software Engineering: Modeling Software Systems using UML

      Skills you'll gain: Requirements Analysis, Unified Modeling Language, Object Oriented Design, Functional Requirement, Data Modeling, Systems Analysis, Object Oriented Programming (OOP), Systems Development Life Cycle, System Requirements, Software Development, Software Engineering, Software Systems, Project Planning, Project Management

      4.5
      Rating, 4.5 out of 5 stars
      ·
      317 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Internet of Things and AI Cloud

      Skills you'll gain: Session Initiation Protocols, Version Control, Integrated Development Environments, Cloud Computing Architecture, GitHub, Cloud Computing, Software Design, Amazon Web Services, Software Design Documents, Cloud Infrastructure, Git (Version Control System), System Design and Implementation, Android Studio, Internet Of Things, Telecommunications, Wireless Networks, Mobile Development, Digital Communications, Application Development, Computer Vision

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Managing Machine Learning Projects

      Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Data Quality, Technical Management, Applied Machine Learning, Project Management, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Software Development Life Cycle, Machine Learning, Data Cleansing, Data Pipelines, Technical Design, Technology Solutions, Systems Design, Data Collection, Data Science, Systems Architecture, Feature Engineering, System Monitoring

      4.8
      Rating, 4.8 out of 5 stars
      ·
      260 reviews

      Beginner · Course · 1 - 3 Months

    • B

      Birla Institute of Technology & Science, Pilani

      Basic Engineering Mathematics

      Skills you'll gain: Integral Calculus, Engineering Calculations, Calculus, Trigonometry, Applied Mathematics, Mathematical Theory & Analysis, Arithmetic, Differential Equations, Algebra, Linear Algebra, Derivatives

      4.6
      Rating, 4.6 out of 5 stars
      ·
      151 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      F

      Fractal Analytics

      GenAI for Everyone

      Skills you'll gain: Generative AI, ChatGPT, Artificial Intelligence, AI Personalization, Organizational Effectiveness, Prompt Engineering, Operational Efficiency, Human Centered Design, Personalized Service, Automation, Ethical Standards And Conduct, Natural Language Processing, Strategic Thinking, Problem Solving, Critical Thinking

      4.4
      Rating, 4.4 out of 5 stars
      ·
      436 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Engineering Practices for Building Quality Software

      Skills you'll gain: Software Design Patterns, Software Design, Software Quality Assurance, Software Engineering, Application Security, Object Oriented Design, Software Architecture, Software Quality (SQA/SQC), Development Testing, Threat Modeling, Maintainability, Code Review, Software Testing, Continuous Integration, CI/CD, Software Technical Review, Software Documentation, Version Control

      4.5
      Rating, 4.5 out of 5 stars
      ·
      448 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      E

      Erasmus University Rotterdam

      Cybersecurity in Healthcare (Hospitals & Care Centres)

      Skills you'll gain: Email Security, Human Factors (Security), Cyber Security Policies, Cybersecurity, Cyber Attacks, Security Awareness, Cyber Risk, Computer Security Awareness Training, Patient Safety, Malware Protection, Encryption, Health Technology, Data Security, Safety and Security, Telehealth, Information Privacy, General Data Protection Regulation (GDPR)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      396 reviews

      Beginner · Course · 1 - 3 Months

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

    • Materials Science for Technological Application: Arizona State University
    • Introduction to Microsoft Copilot: Microsoft
    • Generative AI and LLMs: Architecture and Data Preparation: IBM
    • Materials Data Sciences and Informatics: Georgia Institute of Technology
    • Machine Learning Operations (MLOps): Getting Started: Google Cloud
    • Software Engineering: Modeling Software Systems using UML: The Hong Kong University of Science and Technology
    • Internet of Things and AI Cloud: University of California San Diego
    • Managing Machine Learning Projects: Duke University
    • Basic Engineering Mathematics: Birla Institute of Technology & Science, Pilani
    • GenAI for Everyone: Fractal Analytics

    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.

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