Deep Learning

Deep Learning is a subset of machine learning that uses artificial neural networks with multiple layers - also known as deep neural networks - to model and understand complex patterns and relationships in datasets. Coursera's deep learning catalogue teaches you the underlying principles and methods of deep learning. You'll learn how to build and deploy deep neural networks, utilise various techniques for training and optimising deep learning models, and understand their applications across various industries including healthcare, finance, and autonomous vehicles. You'll further grasp the concepts of Convolutional Networks, Recurrent Networks, and Generative Adversarial Networks, preparing you for various roles in the field of AI and data science.
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Explore the Deep Learning Course Catalog

  • Status: New

    Skills you'll gain: Computer Vision, Image Analysis, PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence, System Configuration, Deep Learning, Real Time Data, Performance Tuning, Software Installation, Application Deployment

  • Status: New
    Status: Free Trial

    Skills you'll gain: Generative AI, LLM Application, Large Language Modeling, Generative Model Architectures, ChatGPT, OpenAI, Generative AI Agents, Prompt Patterns, Applied Machine Learning, Prompt Engineering, Deep Learning, Application Programming Interface (API), Natural Language Processing, Machine Learning Algorithms

  • Status: New
    Status: Preview

    Skills you'll gain: Responsible AI, Generative AI, Microsoft Azure, Image Analysis, Computer Vision, OpenAI, Artificial Intelligence, Natural Language Processing, Machine Learning, Deep Learning, Text Mining, Data Science

  • Skills you'll gain: Tensorflow, Image Analysis, Computer Vision, NumPy, Data Processing, Feature Engineering, Google Cloud Platform, Deep Learning, Cloud Computing

  • Status: New
    Status: Free Trial

    Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Multimodal Prompts, Artificial Neural Networks, Deep Learning, Data Manipulation

  • Skills you'll gain: Computer Vision, Python Programming, Image Analysis, Real Time Data, Visualization (Computer Graphics), Development Environment, Deep Learning, Software Installation, Performance Tuning, System Configuration, Algorithms

  • Status: Free Trial

    Skills you'll gain: Predictive Analytics, Business Analytics, Customer Analysis, Project Design, Applied Machine Learning, Solution Design, Machine Learning, Brainstorming, Trend Analysis, Design Thinking, Analysis, Decision Tree Learning, Deep Learning, Time Series Analysis and Forecasting

  • Status: Preview

    Skills you'll gain: Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Natural Language Processing, Deep Learning

  • Status: Free Trial

    Skills you'll gain: PySpark, Data Pipelines, Apache Spark, Data Processing, Real Time Data, Data Visualization, Natural Language Processing, Distributed Computing, Text Mining, Data Transformation, Deep Learning, Performance Tuning

  • Status: Preview

    Skills you'll gain: Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Deep Learning, Applied Machine Learning, Natural Language Processing

  • Status: Preview

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Generative Model Architectures, LLM Application, Deep Learning

  • Status: Preview

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Anomaly Detection, Data Mining, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Data Processing, Pandas (Python Package), Big Data, Data Cleansing, Data Science, Data Visualization, Python Programming, Data Manipulation, Exploratory Data Analysis, Deep Learning, Regression Analysis, Artificial Neural Networks

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