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Find the best Robotics course for your goals
Status: Free TrialSkills you'll gain: PyTorch (Machine Learning Library), Large Language Modeling, Generative AI, Natural Language Processing, Data Ethics, Text Mining, Artificial Neural Networks, Deep Learning, Feature Engineering, Statistical Methods
Status: PreviewUNSW Sydney (The University of New South Wales)
Skills you'll gain: Image Analysis, Unsupervised Learning, Geospatial Information and Technology, Computer Vision, Spatial Analysis, Machine Learning, Dimensionality Reduction, Linear Algebra, Deep Learning, Data Validation, Supervised Learning, Probability & Statistics, Artificial Neural Networks
Status: Free TrialCoursera Instructor Network
Skills you'll gain: Automation, Electric Power Systems, Sustainable Technologies, Safety and Security, Emerging Technologies, Control Systems, Global Positioning Systems, Environmental Issue, Computer Vision, Artificial Intelligence, Technology Solutions
Status: Free TrialSkills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Data Analysis, Applied Machine Learning, Data Presentation, Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Python Programming, Tensorflow, Regression Analysis, Keras (Neural Network Library), Artificial Neural Networks
Status: PreviewKarlsruhe Institute of Technology
Skills you'll gain: Natural Language Processing, Artificial Neural Networks, Deep Learning, Statistical Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Language Interpretation, Translation, and Studies, Multilingualism, Machine Learning Algorithms, Vocabulary, Performance Tuning

Coursera Project Network
Skills you'll gain: Exploratory Data Analysis, Deep Learning, Plot (Graphics), Artificial Neural Networks, Matplotlib, Data Cleansing, Data Analysis, Tensorflow, Natural Language Processing, Data Processing, Data Manipulation, Python Programming, Machine Learning
Status: NewStatus: Free TrialSkills you'll gain: LLM Application, Prompt Engineering, Jupyter
Status: FreeDeepLearning.AI
Skills you'll gain: Generative AI, Generative Model Architectures, Jupyter, Prompt Engineering, Sampling (Statistics), Artificial Neural Networks, Algorithms
Status: Free TrialImperial College London
Skills you'll gain: Tensorflow, Data Pipelines, Keras (Neural Network Library), Deep Learning, Natural Language Processing, Data Processing, Artificial Neural Networks, Time Series Analysis and Forecasting, Data Transformation, Performance Tuning
Status: PreviewSkills you'll gain: Deep Learning, Artificial Neural Networks, Computer Vision, Machine Learning Methods, Generative AI, Natural Language Processing, Scalability, Reinforcement Learning, Network Architecture, Performance Tuning
Status: Free TrialFractal Analytics
Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, Generative Model Architectures, Code Review, Data Ethics, Artificial Intelligence, Object Oriented Programming (OOP), AI Product Strategy, Debugging, Artificial Neural Networks, Computer Programming, Program Development, Data Processing, Maintainability, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Problem Solving, Data Analysis, Critical Thinking
Status: Free TrialPolitecnico di Milano
Skills you'll gain: Artificial Intelligence, Artificial Neural Networks, Responsible AI, Computer Science, Computer Vision, Machine Learning, Data Ethics, Natural Language Processing, Deep Learning
In summary, here are 10 of our most popular robotics courses
- Gen AI Foundational Models for NLP & Language Understanding:Â IBM
- Remote Sensing Image Acquisition, Analysis and Applications:Â UNSW Sydney (The University of New South Wales)
- The Road to Autonomy: Exploring EV Technologies:Â Coursera Instructor Network
- Machine Learning Capstone:Â IBM
- Machine Translation:Â Karlsruhe Institute of Technology
- Fake News Detection with Machine Learning:Â Coursera Project Network
- Build RAG Applications: Get Started:Â IBM
- How Diffusion Models Work:Â DeepLearning.AI
- Customising your models with TensorFlow 2:Â Imperial College London
- An Introduction to Practical Deep Learning:Â Intel










