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  • Robotics Engineer

Robotics Engineer Courses

Robotics engineer courses can help you learn programming for robotic systems, control theory, sensor integration, and machine learning applications. You can build skills in designing robotic components, troubleshooting systems, and implementing automation solutions. Many courses introduce tools like ROS (Robot Operating System), MATLAB for simulations, and CAD software for designing parts, showing how these skills come together to create functional robots that can perform tasks in various environments.

Popular Robotics Engineer Courses and Certifications


  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Neural Network Techniques

    Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Generative Model Architectures, Unsupervised Learning, Responsible AI, Data Ethics, Markov Model

    4
    Rating, 4 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Leeds

    How to Get Into Cloud Computing

    Skills you'll gain: Cloud Computing, Cloud Computing Architecture, Cloud Services, Cloud Platforms, Cloud Development, Cloud Security, Cloud Applications, Cloud Infrastructure, Cloud Management, Cloud Deployment, Scalability

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Coursera

    Databricks Mosaic AI

    Skills you'll gain: AI Workflows, AI Enablement, Databricks, Initiative and Leadership, Scalability, AI Orchestration, Workflow Management, MLOps (Machine Learning Operations), Strategic Thinking, AI Integrations, Automation

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Optimizing and Deploying Computer Vision Models

    Skills you'll gain: Model Evaluation, Model Training, Image Analysis, Model Optimization, Computer Vision, Model Deployment, Image Quality, MLOps (Machine Learning Operations), Data Analysis, Deep Learning, Exploratory Data Analysis, Failure Analysis, Data Preprocessing, Workflow Management, AI Workflows, Data Transformation, Experimentation, Performance Analysis, Data Manipulation, Performance Metric

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    SkillsBooster Academy

    Advanced Prompt Engineering for Business Professionals

    Skills you'll gain: AI Orchestration, Prompt Engineering, Agentic Workflows, Prompt Patterns, AI Enablement, AI Security, AI Workflows, Return On Investment, Generative AI Agents, Responsible AI, Decision Intelligence, ChatGPT, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Business Technologies, Organizational Skills, Business Analysis, Business

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Spark, Skew & Speed: Pipeline Performance Engineering

    Skills you'll gain: System Monitoring, Data Quality, Performance Tuning, Apache Spark, Data Validation, Data Pipelines, Query Languages, Debugging, Data Transformation, Anomaly Detection, PySpark, Performance Analysis, Extract, Transform, Load, Failure Analysis, SQL, Data Architecture, Data Processing, Benchmarking, Root Cause Analysis, Distributed Computing

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    AWS: Model Training , Optimization & Deployment

    Skills you'll gain: Model Optimization, Model Training, Model Deployment, Cloud Deployment, Amazon Elastic Compute Cloud, Model Evaluation, Classification Algorithms, Continuous Deployment, Continuous Integration, Predictive Modeling, Debugging

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Università di Napoli Federico II

    Python per la Data Science

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Deep Learning, Computer Vision, Transfer Learning, Keras (Neural Network Library), Jupyter, Data Manipulation, Machine Learning Methods, Applied Machine Learning, Scikit Learn (Machine Learning Library)

    4.3
    Rating, 4.3 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced Machine Learning, Big Data, and Deep Learning

    Skills you'll gain: Apache Spark, Model Evaluation, Data Preprocessing, Keras (Neural Network Library), Transfer Learning, Deep Learning, Model Training, Tensorflow, A/B Testing, Responsible AI, Data Processing, Convolutional Neural Networks, Machine Learning Software, Artificial Neural Networks, Machine Learning Algorithms, Data Cleansing, Model Deployment, Machine Learning, Recurrent Neural Networks (RNNs), Dimensionality Reduction

    Advanced · Course · 1 - 3 Months

  • P

    Packt

    Generative AI Foundations for Absolute Beginners

    Skills you'll gain: Prompt Engineering, Generative AI, Responsible AI, Generative Model Architectures, Data Ethics, Large Language Modeling, Artificial Intelligence, AI literacy, Machine Learning, Artificial Neural Networks, Deep Learning, Model Training

    Beginner · Course · 1 - 3 Months

  • 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: Preview
    Preview
    D

    DeepLearning.AI

    Повышение эффективности глубоких нейросетей

    Skills you'll gain: Tensorflow, Model Optimization, Deep Learning, Data Compilation, Model Training, Statistical Analysis, Artificial Neural Networks, Model Evaluation, Performance Tuning, Applied Machine Learning, Machine Learning, Algorithms, Debugging

    Beginner · Course · 1 - 4 Weeks

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

  • Advanced Neural Network Techniques: Johns Hopkins University
  • How to Get Into Cloud Computing: University of Leeds
  • Databricks Mosaic AI: Coursera
  • Optimizing and Deploying Computer Vision Models: Coursera
  • Advanced Prompt Engineering for Business Professionals: SkillsBooster Academy
  • Spark, Skew & Speed: Pipeline Performance Engineering: Coursera
  • AWS: Model Training , Optimization & Deployment: Whizlabs
  • Python per la Data Science: Università di Napoli Federico II
  • Advanced Machine Learning, Big Data, and Deep Learning: Packt
  • Generative AI Foundations for Absolute Beginners: Packt

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