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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


  • S

    Saïd Business School, University of Oxford

    AI in Media

    Skills you'll gain: Generative AI, Generative AI Agents, Google Gemini, Content Creation, Media Strategy, Artificial Intelligence and Machine Learning (AI/ML), ChatGPT, Photo/Video Production and Technology, Responsible AI, AI Security, Artificial Intelligence, Machine Learning, Digital Media Strategy, AI Workflows, Machine Learning Algorithms, Digital Transformation, Algorithms, Business Ethics, Artificial Neural Networks, Agentic systems

    Beginner · Specialization · 3 - 6 Months

  • 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

  • B

    Birla Institute of Technology & Science, Pilani

    Natural Language Processing

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Embeddings, Text Mining, Semantic Web, Data Preprocessing, LLM Application, Artificial Intelligence and Machine Learning (AI/ML), ChatGPT, Data Processing, Artificial Intelligence, Artificial Neural Networks, Statistical Machine Learning, Generative AI, Deep Learning, Model Training, Dependency Analysis, Model Evaluation

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Preparing Multimodal Data: Vision, Audio, and NLP Pipelines

    Skills you'll gain: Data Preprocessing, Model Evaluation, Fine-tuning, Hugging Face, Data Processing, Data Transformation, Model Training, Feature Engineering, Data Pipelines, Image Analysis, Image Quality, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Machine Learning Methods, Data Architecture, Machine Learning Software, Computer Vision, Digital Signal Processing, Artificial Neural Networks, Machine Learning Algorithms

    Intermediate · Course · 3 - 6 Months

  • C

    Coursera

    Optimizing AI Workflows and Deploying Edge Models

    Skills you'll gain: Model Optimization, PyTorch (Machine Learning Library), Model Evaluation, Model Deployment, MLOps (Machine Learning Operations), Model Training, AI Workflows, Tensorflow, Dataflow, Performance Tuning, Deep Learning, Dashboard, Data Pipelines, Grafana, Artificial Neural Networks, Data Processing, Resource Utilization, Performance Analysis, Performance Metric, Data Manipulation

    Intermediate · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Natural Language Processing with Probabilistic Models

    Skills you'll gain: Natural Language Processing, Markov Model, Embeddings, Data Preprocessing, Artificial Neural Networks, Machine Learning Methods, Algorithms, Data Cleansing, Probability & Statistics

    ★ 4.7 (1.8K) · Intermediate · Course · 1 - 4 Weeks

  • E

    Edureka

    Neural Networks and Computer Vision Foundations

    Skills you'll gain: Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Model Optimization, Artificial Neural Networks, Model Training, Machine Learning Methods, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, NumPy, Python Programming, Matplotlib, Data Visualization, Data Science

    Beginner · Course · 1 - 4 Weeks

  • M

    MathWorks

    Electrified Systems Design Engineer

    Skills you'll gain: Power Electronics, Simulation and Simulation Software, Model Based Systems Engineering, Electronic Systems, Electrical Systems, Electrical Engineering, Three-Phase, Machine Controls, Systems Integration, Engineering Practices, Simulations, Electrical Power, Electronics Engineering, Electronics, Electric Power Systems, Engineering Analysis, Engineering, Engineering Design Process, Performance Tuning, Environmental Issue

    ★ 4.8 (82) · Beginner · Professional Certificate · 3 - 6 Months

  • N

    Northeastern University

    Generative AI Part 1

    Skills you'll gain: Generative AI, Generative Model Architectures, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Large Language Modeling, Artificial Neural Networks, Deep Learning, Model Optimization, Bayesian Network, Machine Learning Methods, Natural Language Processing, Model Training, Probability & Statistics, Probability Distribution

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Building and Optimizing AI Models

    Skills you'll gain: Model Optimization, Feature Engineering, Model Training, Applied Machine Learning, Machine Learning Methods, Fine-tuning, Machine Learning Algorithms, Deep Learning, Supervised Learning, Transfer Learning, Model Evaluation, Data Structures, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Machine Learning, Artificial Neural Networks, Convolutional Neural Networks, Network Architecture, Performance Testing

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Production-Ready Multimodal ML Engineering

    Skills you'll gain: MLOps (Machine Learning Operations), Data Validation, Model Deployment, Test Driven Development (TDD), Apache Airflow, Data Pipelines, Containerization, Extract, Transform, Load, Kubernetes, Data Infrastructure, Model Training, Data Integrity, Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Software, Artificial Intelligence, Artificial Neural Networks, Machine Learning Algorithms, Natural Language Processing, Algorithms

    Intermediate · Course · 3 - 6 Months

  • B

    Board Infinity

    Deep Learning: Train Neural Networks and Deploy with Docker

    Skills you'll gain: Model Deployment, Model Training, Deep Learning, PyTorch (Machine Learning Library), Scalability, Docker (Software), Application Deployment, Containerization, Model Evaluation, Artificial Neural Networks, Tensorflow, Network Model, Network Architecture, Configuration Management

    Intermediate · Course · 1 - 4 Weeks

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

  • AI in Media: Saïd Business School, University of Oxford
  • Foundations of LLMs and Deep Learning for Text Analysis: Packt
  • Natural Language Processing: Birla Institute of Technology & Science, Pilani
  • Preparing Multimodal Data: Vision, Audio, and NLP Pipelines: Coursera
  • Optimizing AI Workflows and Deploying Edge Models: Coursera
  • Natural Language Processing with Probabilistic Models: DeepLearning.AI
  • Neural Networks and Computer Vision Foundations: Edureka
  • Electrified Systems Design Engineer: MathWorks
  • Generative AI Part 1: Northeastern University
  • Building and Optimizing AI Models : Coursera

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