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Autonomous Robotics Courses

Autonomous robotics courses can help you learn programming for robot control, sensor integration, and navigation algorithms. You can build skills in machine learning applications, computer vision techniques, and real-time data processing. Many courses introduce tools like ROS (Robot Operating System), MATLAB, and Python, that support developing and testing robotic systems. You'll also explore key topics such as path planning, localization, and robot perception, equipping you with practical knowledge to design and implement autonomous solutions.


Popular Autonomous Robotics Courses and Certifications


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    AI Business School

    AI agents and creator tools for marketing professionals

    Skills you'll gain: Agentic Workflows, Agentic systems, AI Workflows, No-Code Development, Productivity, AI Enablement, Marketing Automation, Generative AI Agents, MarTech, AI Personalization, Digital Transformation, Marketing, Artificial Intelligence, Business Metrics, Automation, Business Technologies, Innovation

    Intermediate · Course · 1 - 4 Weeks

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    Skillshare

    The Art of Film Editing: Color & Visual Storytelling

    Skills you'll gain: Video Editing, Adobe Premiere, Post-Production, Video Production, Cinematography, Editing, Color Theory, Storytelling

    Beginner · Course · 1 - 4 Weeks

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    Packt

    Modern Natural Language Processing

    Skills you'll gain: Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Hugging Face, Deep Learning, Large Language Modeling, Transfer Learning, Convolutional Neural Networks, Text Mining, Semantic Web, Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Python Programming, Cryptography, Classification Algorithms, Probability Distribution, Machine Learning Algorithms, Data Processing, Algorithms

    Intermediate · Specialization · 3 - 6 Months

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    Packt

    Advanced Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, Convolutional Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Data Preprocessing, Embeddings, Network Architecture, Matplotlib, Jupyter, NumPy

    Advanced · Course · 3 - 6 Months

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    Packt

    Deep Learning - Crash Course 2023

    Skills you'll gain: Deep Learning, Tensorflow, Keras (Neural Network Library), Matplotlib, NumPy, Artificial Neural Networks, Python Programming, Pandas (Python Package), Data Science, Artificial Intelligence, Data Preprocessing, Machine Learning, Data Manipulation, Model Evaluation, Classification Algorithms

    Beginner · Course · 3 - 6 Months

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    Simplilearn

    Introduction to Long Short Term Memory (LSTM) Training

    Skills you'll gain: Recurrent Neural Networks (RNNs), Keras (Neural Network Library), Time Series Analysis and Forecasting, PyTorch (Machine Learning Library), Natural Language Processing, Tensorflow, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Data Preprocessing

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    Rating, 2.5 out of 5 stars
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    6 reviews

    Beginner · Course · 1 - 4 Weeks

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    Dartmouth College

    Predictive Analytics

    Skills you'll gain: Business Ethics, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Model Evaluation, Digital Transformation, Data-Driven Decision-Making, Feature Engineering, Regression Analysis, Supervised Learning, Python Programming, Cloud Computing, Data Quality, Classification Algorithms, Artificial Neural Networks

    Intermediate · Course · 1 - 3 Months

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    DeepLearning.AI

    심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화

    Skills you'll gain: Tensorflow, Deep Learning, Performance Tuning, Model Evaluation, Machine Learning Methods, Artificial Neural Networks, Debugging, Machine Learning, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    7 reviews

    Intermediate · Course · 1 - 4 Weeks

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    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, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Tensorflow, Predictive Modeling, Dimensionality Reduction, Classification Algorithms, Time Series Analysis and Forecasting, Model Evaluation

    Advanced · Course · 1 - 3 Months

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    Pearson

    Programming Generative AI: Unit 1

    Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Multimodal Prompts, Artificial Neural Networks, Deep Learning, Large Language Modeling, Tensorflow, Convolutional Neural Networks

    Intermediate · Course · 1 - 4 Weeks

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    Skillshare

    The Art of Film Editing: Visual Effects & Sound Design

    Skills you'll gain: Adobe Premiere, Post-Production, Video Production, Video Editing, Cinematography, Motion Graphics, Storytelling, Music

    Beginner · Course · 1 - 4 Weeks

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    DeepLearning.AI

    تعزيز الشبكات العصبية : ضبط وتحسين مقياس فرط المعلمات

    Skills you'll gain: Deep Learning, Tensorflow, Data Preprocessing, Model Evaluation, Performance Tuning, Artificial Neural Networks, Applied Machine Learning, Analysis, Machine Learning Algorithms, Machine Learning, Algorithms

    Beginner · Course · 1 - 4 Weeks

Searches related to autonomous robotics

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

  • AI agents and creator tools for marketing professionals: AI Business School
  • The Art of Film Editing: Color & Visual Storytelling: Skillshare
  • Modern Natural Language Processing: Packt
  • Advanced Generative Adversarial Networks (GANs): Packt
  • Deep Learning - Crash Course 2023: Packt
  • Introduction to Long Short Term Memory (LSTM) Training: Simplilearn
  • Predictive Analytics: Dartmouth College
  • 심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화: DeepLearning.AI
  • Advanced Machine Learning and Deep Learning: Packt
  • Programming Generative AI: Unit 1: Pearson

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