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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


  • G

    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud - 日本語版

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

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Machine/Deep Learning for Mining Quality Prediction-Enhanced

    Skills you'll gain: Exploratory Data Analysis, Model Training, Model Evaluation, Data Preprocessing, Regression Analysis, Predictive Modeling, Machine Learning Methods, Applied Machine Learning, Data Analysis, Plot (Graphics), Machine Learning, Data Visualization, Decision Tree Learning, Predictive Analytics, Machine Learning Algorithms, Data Visualization Software, Artificial Neural Networks, Deep Learning, Statistical Methods, Python Programming

    4.9 stars, 7 reviews, Beginner, Guided Project, Less Than 2 Hours

    ★ 4.9 (7) · Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    TensorFlow for Beginners: Basic Binary Image Classification

    Skills you'll gain: Model Deployment, Tensorflow, Model Evaluation, Data Preprocessing, Image Analysis, Model Training, Artificial Neural Networks, Convolutional Neural Networks, Model Optimization, Data Processing, Network Model, Applied Machine Learning, Machine Learning Methods, Computer Vision, Deep Learning

    Beginner · Guided Project · Less Than 2 Hours

  • P

    Pearson

    Programming Generative AI: Unit 1

    Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Artificial Neural Networks, Deep Learning, Model Training

    Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • U

    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

    Status: Free trial
    Free trial
  • P

    Packt

    Advanced Machine Learning and Deep Learning

    Skills you'll gain: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Fine-tuning, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Tensorflow, Predictive Modeling, Model Optimization, Model Training, Interactive Data Visualization, Time Series Analysis and Forecasting, Model Evaluation

    Advanced · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • H

    H2O.ai

    H2O ai Large Language Models (LLMs) - Level 3

    Skills you'll gain: Model Evaluation, Generative AI, LLM Application, Model Training, Large Language Modeling, Applied Machine Learning, Fine-tuning, Artificial Neural Networks

    Advanced · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • E

    Edureka

    Advanced Deep Learning Architectures

    Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Autoencoders, Model Optimization, Vision Transformer (ViT), Artificial Neural Networks, Model Deployment, Model Training, Deep Learning, Recurrent Neural Networks (RNNs), Embeddings, Machine Learning Methods, PyTorch (Machine Learning Library), AI Enablement, Artificial Intelligence

    Advanced · Specialization · 1 - 3 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • S

    Simplilearn

    Introduction to Long Short Term Memory (LSTM) Training

    Skills you'll gain: Recurrent Neural Networks (RNNs), Time Series Analysis and Forecasting, Natural Language Processing, Deep Learning, Model Training, Artificial Neural Networks, Forecasting, Applied Machine Learning

    2.3 stars, 7 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 2.3 (7) · Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
  • P

    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

    Category: New
    New
    Status: Free trial
    Free trial
  • P

    Packt

    Introduction to RNN and DNN

    Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Model Optimization, Recurrent Neural Networks (RNNs), Artificial Intelligence, Model Training, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Machine Learning, Network Architecture, Data Science

    Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • G

    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 stars, 7 reviews, Intermediate, Course, 1 - 3 Months

    ★ 3.4 (7) · Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
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In summary, here are 10 of our most popular robotics courses

  • Build, Train and Deploy ML Models with Keras on Google Cloud - 日本語版: Google Cloud
  • Machine/Deep Learning for Mining Quality Prediction-Enhanced: Coursera
  • TensorFlow for Beginners: Basic Binary Image Classification: Coursera
  • Programming Generative AI: Unit 1: Pearson
  • Digital Marketing Tools: Machine Learning and AI: University of Maryland, College Park
  • Advanced Machine Learning and Deep Learning: Packt
  • H2O ai Large Language Models (LLMs) - Level 3: H2O.ai
  • Advanced Deep Learning Architectures: Edureka
  • Introduction to Long Short Term Memory (LSTM) Training: Simplilearn
  • Foundations of LLMs and Deep Learning for Text Analysis: Packt

Skills you can learn in Software Development

Programming Language (34)
Google (25)
Computer Program (21)
Software Testing (21)
Web (19)
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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