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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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    IBM

    Generative AI for NLP with PyTorch Capstone Project

    Skills you'll gain: Model Evaluation, Fine-tuning, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Model Training, Transfer Learning, Generative AI, Large Language Modeling, Natural Language Processing, Hugging Face, Generative Model Architectures, Data Preprocessing, Model Optimization, Data Processing, Deep Learning, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms

    Advanced · Course · 1 - 4 Weeks

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    Coursera

    Deep Learning and Modern AI Architectures

    Skills you'll gain: Fine-tuning, Generative Model Architectures, Deep Learning, Autoencoders, Generative AI, Model Optimization, Artificial Neural Networks, Generative Adversarial Networks (GANs), Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Network Architecture, Model Evaluation, Anomaly Detection, Computer Vision, Predictive Modeling

    Advanced · Course · 1 - 4 Weeks

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    Khalifa University

    Deep Learning for Computer Vision: Techniques & Applications

    Skills you'll gain: Generative AI, Computer Vision, PyTorch (Machine Learning Library), Convolutional Neural Networks, Generative Adversarial Networks (GANs), Generative Model Architectures, Image Analysis, Fine-tuning, Artificial Neural Networks, Model Training, Applied Machine Learning, Model Evaluation, Deep Learning, Transfer Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Optimization, Artificial Intelligence

    Intermediate · Course

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    Edureka

    Transfer Learning and Fine-Tuning for AI Models

    Skills you'll gain: MLOps (Machine Learning Operations), Fine-tuning, PyTorch (Machine Learning Library), AI Security, Containerization, AI Workflows, Prompt Engineering, Hugging Face, Artificial Neural Networks, Deep Learning, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Generative Model Architectures, Machine Learning Methods, Generative AI, Computer Vision, Artificial Intelligence, Machine Learning, Data Processing, Machine Learning Algorithms

    Intermediate · Specialization · 1 - 3 Months

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    Coursera

    Deep Learning Model Engineering and Optimization

    Skills you'll gain: Model Optimization, Deep Learning, PyTorch (Machine Learning Library), Model Training, Model Deployment, AI Workflows, Convolutional Neural Networks, Machine Learning Methods, Model Evaluation, Applied Machine Learning, Performance Tuning, Network Model, Artificial Neural Networks, Technical Communication

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    University of Colorado Boulder

    Introduction to Artificial Intelligence

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Artificial Neural Networks, Markov Model, Algorithms, Artificial Intelligence, Statistical Inference, Statistical Modeling, Network Model, Forecasting, Computational Logic, Dependency Analysis, Statistical Methods, Probability Distribution, Data-Driven Decision-Making, Time Series Analysis and Forecasting, Sampling (Statistics), Model Optimization, Solution Design, Technical Design

    3.9
    Rating, 3.9 out of 5 stars
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    8 reviews

    Beginner · Specialization · 3 - 6 Months

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    Coursera

    Custom Deep Learning Model Architecture

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Generative AI, Model Optimization, Deep Learning, Generative Model Architectures, Computer Vision, Artificial Neural Networks, Generative Adversarial Networks (GANs), Model Training, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Autoencoders, Network Architecture, Model Evaluation, Debugging

    Intermediate · Course · 1 - 3 Months

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    Packt

    Generative AI Fundamentals for Beginners

    Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI, Responsible AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Multimodal Prompts, LLM Application, Embeddings, AI literacy, Artificial Neural Networks, AI powered creativity, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Data Ethics, Model Training

    Beginner · Course · 1 - 3 Months

  • Status: New
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    Packt

    Deep Learning for Time Series Cookbook

    Skills you'll gain: Anomaly Detection, PyTorch (Machine Learning Library), Forecasting, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Predictive Modeling, Deep Learning, Autoencoders, Predictive Analytics, Unsupervised Learning, Applied Machine Learning, Model Training, Generative Model Architectures, Convolutional Neural Networks, Exploratory Data Analysis, Model Optimization, Artificial Neural Networks, Data Preprocessing, Model Evaluation, Data Architecture

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    University of Colorado Boulder

    Foundations of Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Deep Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Computational Logic, Model Evaluation, Markov Model, Responsible AI, Machine Learning Algorithms, Decision Intelligence, AI Workflows, Model Optimization, Artificial Intelligence, Agentic systems, Machine Learning, Algorithms, Artificial Neural Networks, Statistical Machine Learning, Theoretical Computer Science, Applied Mathematics

    Intermediate · Specialization · 3 - 6 Months

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    Microsoft

    Microsoft Generative and Agentic AI Basics

    Skills you'll gain: Responsible AI, Prompt Engineering, Generative AI, Agentic Workflows, AI Workflows, Generative AI Agents, AI Orchestration, Retrieval-Augmented Generation, Generative Model Architectures, Microsoft Azure, Agentic systems, Artificial Intelligence and Machine Learning (AI/ML), AI Security, LLM Application, Application Deployment, ChatGPT, Artificial Intelligence, Artificial Neural Networks, Deep Learning, Machine Learning

    3.7
    Rating, 3.7 out of 5 stars
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    54 reviews

    Intermediate · Specialization · 3 - 6 Months

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    M

    MathWorks

    Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Agentic systems, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Control Systems

    4.6
    Rating, 4.6 out of 5 stars
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    8 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Generative AI for NLP with PyTorch Capstone Project: IBM
  • Deep Learning and Modern AI Architectures: Coursera
  • Deep Learning for Computer Vision: Techniques & Applications: Khalifa University
  • Transfer Learning and Fine-Tuning for AI Models: Edureka
  • Deep Learning Model Engineering and Optimization: Coursera
  • Introduction to Artificial Intelligence: University of Colorado Boulder
  • Custom Deep Learning Model Architecture: Coursera
  • Generative AI Fundamentals for Beginners: Packt
  • Deep Learning for Time Series Cookbook: Packt
  • Foundations of Reinforcement Learning: University of Colorado Boulder

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