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  • Computational Thinking

Computational Thinking Courses

Computational thinking courses can help you learn problem decomposition, pattern recognition, algorithmic design, and abstraction techniques. You can build skills in logical reasoning, data analysis, and effective solution development across various applications, from programming to data science. Many courses introduce tools like Python, Scratch, and various simulation software, demonstrating how these skills can be applied to solve complex problems in fields such as artificial intelligence, robotics, and software development.


Popular Computational Thinking Courses and Certifications


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    Coursera

    Optimize AI Prompts for Cost and Quality

    Skills you'll gain: Prompt Engineering, Responsible AI, Data Ethics, Applied Machine Learning, Project Design, AI Enablement, Operational Efficiency, Cost Management, Mitigation

    Intermediate · Course · 1 - 4 Weeks

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    Minnesota State University, Mankato

    Business Leadership Essentials: HR, Org Design & Negotiation

    Skills you'll gain: Human Resources Management and Planning, Employee Engagement, Organizational Structure, Negotiation, Organizational Development, Operational Excellence, Organizational Effectiveness, People Analytics, Conflict Management, Talent Management, Change Management, Performance Management, Strategic Leadership, Team Management, Stakeholder Management, Process Improvement, Business Strategies, Business Strategy, Problem Solving, Decision Making

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    Google

    Build Dynamic User Interfaces (UI) for Websites

    Skills you'll gain: Responsive Web Design, Web Design, User Experience Design, Design Reviews, Wireframing, Usability Testing, User Research, User Interface (UI) Design, Prototyping, User Flows, Figma (Design Software), Information Architecture

    4.8
    Rating, 4.8 out of 5 stars
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    3.8K reviews

    Beginner · Course · 1 - 4 Weeks

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    Duke University

    AI Product Management

    Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Responsible AI, Model Evaluation, Data Ethics, Data Management, Project Management Life Cycle, Unsupervised Learning, Human Computer Interaction, User Experience Design, Classification And Regression Tree (CART), Data Quality, Model Deployment, Data Preprocessing, Human Centered Design, Machine Learning, Project Management, Product Management, Product Design, Data Science

    4.7
    Rating, 4.7 out of 5 stars
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    1K reviews

    Beginner · Specialization · 3 - 6 Months

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    Alex Genadinik

    AI Ethics

    Skills you'll gain: Business Ethics, Data Ethics, Responsible AI, Ethical Standards And Conduct, Corporate Sustainability, Leadership Studies, Environmental Social And Corporate Governance (ESG), AI Security, Decision Making, Law, Regulation, and Compliance, Personally Identifiable Information, Artificial Intelligence, Compliance Training, Regulation and Legal Compliance, Risk Analysis, Governance

    Mixed · Course · 1 - 4 Weeks

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    National Taiwan University

    人工智慧:搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic)

    Skills you'll gain: Computational Logic, Artificial Intelligence, Simulations, Computational Thinking, Business Logic, Theoretical Computer Science, Algorithms, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
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    322 reviews

    Beginner · Course · 1 - 3 Months

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    Packt

    Generative AI Foundations in Python

    Skills you'll gain: Prompt Engineering, Generative AI, Generative Model Architectures, Responsible AI, Model Deployment, Large Language Modeling, Generative Adversarial Networks (GANs), Natural Language Processing, Embeddings, Transfer Learning, Artificial Intelligence, Python Programming, Machine Learning, Deep Learning

    Intermediate · Course · 1 - 3 Months

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    Alberta Machine Intelligence Institute

    Building and Deploying Generative AI Models

    Skills you'll gain: Generative AI Agents, Generative AI, Generative Model Architectures, LangChain, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Prompt Engineering, Google Cloud Platform, PyTorch (Machine Learning Library), System Monitoring, Embeddings, Deep Learning, Transfer Learning, Model Evaluation, Development Environment, Natural Language Processing, Vector Databases

    Intermediate · Course · 1 - 4 Weeks

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    Microsoft

    Getting started with generative AI in Azure

    Skills you'll gain: Generative AI, Prompt Engineering, Responsible AI, AI Security, Data Ethics, Microsoft Azure, AI Enablement, Artificial Intelligence, LLM Application, Artificial Intelligence and Machine Learning (AI/ML), Application Design, Application Development, Model Evaluation, Deep Learning

    Intermediate · Course · 1 - 4 Weeks

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    University of Maryland, College Park

    AI for Business Leaders

    Skills you'll gain: AI Personalization, Responsible AI, Deep Learning, Forecasting, Business Leadership, Risk Management, Business Analytics, Machine Learning, Analytics, Artificial Intelligence, Marketing Analytics, Applied Machine Learning, Customer Analysis, Supply Chain Management, Data-Driven Decision-Making, Big Data, People Analytics

    Intermediate · Course · 1 - 3 Months

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    Northeastern University

    Engineering Project Management Part 1

    Skills you'll gain: Engineering Management, Project Risk Management, Innovation, Risk Management, Project Management, Project Design, Project Management Life Cycle, Cost Management, Creativity, Planning, Organizational Structure, Project Planning, Creative Thinking, Budgeting, Work Breakdown Structure, Leadership and Management, Organizational Strategy, Agile Methodology, Resource Allocation

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    DeepLearning.AI

    Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, Generative AI, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Deep Learning, Model Evaluation, Responsible AI, Artificial Neural Networks, Data Ethics, Machine Learning, Image Quality, Unsupervised Learning, Information Privacy, Data Synthesis

    4.7
    Rating, 4.7 out of 5 stars
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    2.4K reviews

    Intermediate · Specialization · 1 - 3 Months

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In summary, here are 10 of our most popular computational thinking courses

  • Optimize AI Prompts for Cost and Quality: Coursera
  • Business Leadership Essentials: HR, Org Design & Negotiation: Minnesota State University, Mankato
  • Build Dynamic User Interfaces (UI) for Websites: Google
  • AI Product Management: Duke University
  • AI Ethics : Alex Genadinik
  • 人工智慧:搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic): National Taiwan University
  • Generative AI Foundations in Python: Packt
  • Building and Deploying Generative AI Models: Alberta Machine Intelligence Institute
  • Getting started with generative AI in Azure: Microsoft
  • AI for Business Leaders: University of Maryland, College Park

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