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Robotics Courses

Robotics courses can help you learn programming for robot control, sensor integration, and mechanical design principles. You can build skills in automation, system troubleshooting, and algorithm development for tasks like navigation and object recognition. Many courses introduce tools such as ROS (Robot Operating System), CAD software for design, and simulation platforms that allow you to test your robotic systems in virtual environments.

Popular Robotics Courses and Certifications


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    Imperial College London

    TensorFlow 2 시작하기

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Model Training, Model Evaluation, Deep Learning, Convolutional Neural Networks, Model Optimization, Image Analysis, Predictive Modeling, Data Preprocessing, Applied Machine Learning, Artificial Neural Networks, Computer Vision

    Intermediate · Course · 1 - 3 Months

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    University of Maryland, College Park

    Digital Marketing Tools: Machine Learning and AI

    Skills you'll gain: Model Evaluation, Apache Hadoop, Machine Learning Methods, AI Personalization, Digital Marketing Tools, Data-Driven Marketing, Customer Analysis, Marketing Automation, Marketing Analytics, Digital Marketing, Marketing Strategies, Applied Machine Learning, Big Data, Marketing, Customer Insights, Personalized Campaigns, Machine Learning, Artificial Neural Networks, Machine Learning Algorithms, Deep Learning

    Beginner · Course · 1 - 4 Weeks

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    Google Cloud

    Intro to TensorFlow 日本語版

    Skills you'll gain: Tensorflow, Model Deployment, Keras (Neural Network Library), Feature Engineering, Google Cloud Platform, Model Training, Data Pipelines, Jupyter, Machine Learning Methods, Deep Learning, Model Optimization, Data Preprocessing, Predictive Modeling, Artificial Neural Networks, Data Import/Export, Embeddings

    3.8
    Rating, 3.8 out of 5 stars
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    12 reviews

    Intermediate · Course · 1 - 3 Months

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    Dartmouth College

    Machine Learning with Neural Networks

    Skills you'll gain: Bayesian Network, Artificial Neural Networks, Machine Learning Methods, Convolutional Neural Networks, Deep Learning, Tensorflow, Model Training, Model Optimization, Machine Learning, Applied Machine Learning, Bayesian Statistics, Machine Learning Algorithms, Model Evaluation, Network Architecture, Probability Distribution

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Advanced Architectures in Embedded Software Design

    Skills you'll gain: Real-Time Operating Systems, Embedded Software, Software Architecture, Code Reusability, Embedded Systems, Memory Management, Systems Architecture, Software Design, Software Design Patterns, Performance Tuning, Secure Coding, Scalability, Data Sharing, OS Process Management

    Intermediate · Course · 1 - 4 Weeks

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    DeepLearning.AI

    컨볼루션 신경망

    Skills you'll gain: Convolutional Neural Networks, Computer Vision, Image Analysis, Keras (Neural Network Library), Artificial Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Applied Machine Learning, Fine-tuning, Classification Algorithms, Network Architecture, Embeddings, Model Training

    Intermediate · Course · 1 - 4 Weeks

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    University of Washington

    머신 러닝 기초: 사례 연구 접근 방식

    Skills you'll gain: Model Evaluation, Regression Analysis, Applied Machine Learning, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Deep Learning, Jupyter, Supervised Learning, Predictive Modeling, Classification Algorithms, Image Analysis, Unsupervised Learning, Text Mining, Artificial Neural Networks

    Mixed · Course · 1 - 3 Months

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    Packt

    Foundations of Deep Learning and Neural Networks

    Skills you'll gain: Artificial Neural Networks, Deep Learning, Convolutional Neural Networks, Image Analysis, Keras (Neural Network Library), Model Training, Tensorflow, Network Architecture, Artificial Intelligence, Model Optimization, Machine Learning, Linear Algebra

    Intermediate · Course · 1 - 3 Months

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    Packt

    Jetson Nano Starter to Pro - A Computer Vision Course

    Skills you'll gain: Computer Vision, Image Analysis, PyTorch (Machine Learning Library), Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, System Configuration, Deep Learning, Real Time Data, Model Deployment, Software Installation, Application Deployment

    Intermediate · Course · 3 - 6 Months

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    Packt

    Foundations of LLMs and Deep Learning for Text Analysis

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Natural Language Processing, LLM Application, Multimodal Prompts, Recurrent Neural Networks (RNNs), Text Mining, Embeddings, Generative AI, Deep Learning, Fine-tuning, Generative Model Architectures, Artificial Neural Networks, Machine Learning, Data Ethics

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Advanced CNNs, Transfer Learning, and Recurrent Networks

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Fine-tuning, Tensorflow, Natural Language Processing, Network Architecture

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud - Français

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Data Preprocessing, Google Cloud Platform, Data Pipelines, Model Training, Data Processing, Model Deployment, Data Transformation, Deep Learning, Model Optimization, Applied Machine Learning, Cloud Deployment, Artificial Neural Networks, AI Workflows

    3.4
    Rating, 3.4 out of 5 stars
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    7 reviews

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular robotics courses

  • TensorFlow 2 시작하기: Imperial College London
  • Digital Marketing Tools: Machine Learning and AI: University of Maryland, College Park
  • Intro to TensorFlow 日本語版: Google Cloud
  • Machine Learning with Neural Networks: Dartmouth College
  • Advanced Architectures in Embedded Software Design: Coursera
  • 컨볼루션 신경망: DeepLearning.AI
  • 머신 러닝 기초: 사례 연구 접근 방식: University of Washington
  • Foundations of Deep Learning and Neural Networks: Packt
  • Jetson Nano Starter to Pro - A Computer Vision Course: Packt
  • Foundations of LLMs and Deep Learning for Text Analysis: Packt

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Programming Language (34)
Google (25)
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Google Cloud Platform (18)
Application Programming Interfaces (17)
Data Structure (16)
Problem Solving (14)
Object-oriented Programming (13)
Kubernetes (10)
List & Label (10)

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