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
Status: PreviewSkills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Deep Learning, MLOps (Machine Learning Operations), Data Processing, Applied Machine Learning, Artificial Neural Networks, Data Pipelines, Application Programming Interface (API)
Status: NewStatus: Free TrialSkills you'll gain: Large Language Modeling, Prompt Engineering, Image Analysis, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, LLM Application, Computer Vision, Responsible AI, Generative AI, Data Ethics, Multimodal Prompts, Applied Machine Learning, Natural Language Processing, Machine Learning Methods, Artificial Neural Networks, Artificial Intelligence, Application Deployment, Network Model, Performance Tuning
Status: PreviewGoogle Cloud
Skills you'll gain: Artificial Neural Networks, Text Mining, Deep Learning, Machine Learning, Natural Language Processing
Status: PreviewGoogle Cloud
Skills you'll gain: Image Analysis, Generative Model Architectures, Deep Learning, Keras (Neural Network Library), Computer Vision, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow
Status: Free TrialUniversidades Anáhuac
Skills you'll gain: Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Tensorflow, Image Analysis, Computer Vision, Machine Learning Methods, Natural Language Processing, Artificial Intelligence, Python Programming
Status: PreviewGoogle Cloud
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Generative Model Architectures, Deep Learning, Natural Language Processing, Artificial Neural Networks, Machine Learning Methods
Status: PreviewGoogle Cloud
Skills you'll gain: Machine Learning Methods, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Text Mining, Natural Language Processing
Status: PreviewGoogle Cloud
Skills you'll gain: Image Analysis, Generative Model Architectures, Deep Learning, Computer Vision, Applied Machine Learning
Status: PreviewGoogle Cloud
Skills you'll gain: Keras (Neural Network Library), Tensorflow, Generative Model Architectures, Natural Language Processing, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Text Mining
Status: NewStatus: PreviewSkills you'll gain: Unsupervised Learning, Applied Machine Learning, R Programming, Machine Learning, Machine Learning Algorithms, Data Analysis, Data Manipulation, Data Transformation, Probability & Statistics
- Status: Preview
Google Cloud
Skills you'll gain: Image Analysis, Generative AI, Deep Learning, Keras (Neural Network Library), Generative Model Architectures, Computer Vision, PyTorch (Machine Learning Library), Tensorflow
- Status: Preview
Google Cloud
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Applied Machine Learning, Generative AI, Machine Learning Methods, Deep Learning, Natural Language Processing
Searches related to computational thinking
In summary, here are 10 of our most popular computational thinking courses
- Build, Train and Deploy ML Models with Keras on Google Cloud - 한국어: Google Cloud
- Learning Deep Learning: Unit 3: Pearson
- Attention Mechanism - Español: Google Cloud
- Create Image Captioning Models - 简体中文: Google Cloud
- Deep Learning: Del Concepto a la Práctica: Universidades Anáhuac
- Encoder-Decoder Architecture - Bahasa Indonesia: Google Cloud
- Attention Mechanism - בעברית: Google Cloud
- Create Image Captioning Models - 日本語版: Google Cloud
- Encoder-Decoder Architecture - 繁體中文: Google Cloud
- R: Apply & Analyze K-Means Clustering for Unsupervised ML: EDUCBA
