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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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    H2O.ai

    H2O Hydrogen Torch Starter Course

    Skills you'll gain: Deep Learning, Applied Machine Learning, Artificial Intelligence, Computer Vision, Image Analysis, Natural Language Processing, Model Evaluation, Exploratory Data Analysis, Interactive Data Visualization, Performance Tuning, Data Import/Export

    Beginner · Course · 1 - 3 Months

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    H2O.ai

    H2O Gen AI Ecosystem Overview - Level 2

    Skills you'll gain: Model Deployment, Generative AI, Cloud Deployment, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, MLOps (Machine Learning Operations), AI Workflows, System Monitoring, Feature Engineering, Continuous Monitoring, Applied Machine Learning, Data Preprocessing, Advanced Analytics, Artificial Intelligence, Deep Learning, Data Processing, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Create Image Captioning Models - Português Brasileiro

    Skills you'll gain: Image Analysis, Convolutional Neural Networks, Deep Learning, Model Evaluation, Recurrent Neural Networks (RNNs)

    Advanced · Course · 1 - 4 Weeks

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    Northeastern University

    Machine Learning and Data Analytics Part 2

    Skills you'll gain: Text Mining, Data Mining, Time Series Analysis and Forecasting, Classification Algorithms, Big Data, Artificial Neural Networks, Regression Analysis, Data Science, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Unsupervised Learning, Analytics, Predictive Modeling, Forecasting, Advanced Analytics, Deep Learning, Data Preprocessing

    Intermediate · Course · 1 - 3 Months

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    Pearson

    Learning Deep Learning: Unit 3

    Skills you'll gain: Large Language Modeling, Prompt Engineering, Image Analysis, Model Deployment, PyTorch (Machine Learning Library), Deep Learning, Vision Transformer (ViT), Tensorflow, Convolutional Neural Networks, LLM Application, Transfer Learning, Computer Vision, Responsible AI, Generative AI, Multimodal Prompts, Artificial Neural Networks, Artificial Intelligence, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    R: Apply & Analyze K-Means Clustering for Unsupervised ML

    Skills you'll gain: Unsupervised Learning, Customer Analysis, Applied Machine Learning, R Programming, Data Preprocessing, Statistical Machine Learning, Machine Learning, Feature Engineering, Data Analysis

    Mixed · Course · 1 - 4 Weeks

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    Google Cloud

    Attention Mechanism - 繁體中文

    Skills you'll gain: Recurrent Neural Networks (RNNs), Machine Learning Methods, Artificial Neural Networks, Deep Learning, Natural Language Processing, Applied Machine Learning, Text Mining

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Image Classification with Keras: Build & Optimize

    Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Image Analysis, Computer Vision, Deep Learning, Tensorflow, Applied Machine Learning, Data Preprocessing, Jupyter, Matplotlib, Visualization (Computer Graphics)

    Mixed · Course · 1 - 4 Weeks

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    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering

    Intermediate · Course · 1 - 3 Months

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    Packt

    Wild Leadership: Adaptability, Resilience, & Teamwork

    Skills you'll gain: Teamwork, Team Building, Leadership, Adaptability, Strategic Leadership, Resilience, Professional Development, Diversity and Inclusion, Productivity, Decision Making, Personal Development, Business, Problem Solving, Self-Awareness, Change Management

    Beginner · Course · 1 - 3 Months

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    Universidades Anáhuac

    Deep Learning: Del Concepto a la Práctica

    Skills you'll gain: Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Image Analysis, Computer Vision, Model Evaluation, Python Programming

    Beginner · Course · 1 - 4 Weeks

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    Northeastern University

    Machine Learning with Small Data Part 2

    Skills you'll gain: Generative AI, Transfer Learning, Generative Adversarial Networks (GANs), Applied Machine Learning, Small Data, Autoencoders, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning Methods, Computer Graphics, Machine Learning, Image Analysis, Machine Learning Algorithms, Data Synthesis, Simulation and Simulation Software, Computer Vision, Augmented and Virtual Reality (AR/VR), Simulations, 3D Assets

    Mixed · Course · 1 - 3 Months

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

  • H2O Hydrogen Torch Starter Course: H2O.ai
  • H2O Gen AI Ecosystem Overview - Level 2: H2O.ai
  • Create Image Captioning Models - Português Brasileiro: Google Cloud
  • Machine Learning and Data Analytics Part 2: Northeastern University
  • Learning Deep Learning: Unit 3: Pearson
  • R: Apply & Analyze K-Means Clustering for Unsupervised ML: EDUCBA
  • Attention Mechanism - 繁體中文: Google Cloud
  • Image Classification with Keras: Build & Optimize: EDUCBA
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Wild Leadership: Adaptability, Resilience, & Teamwork: Packt

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