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.
86credentials
6online degrees
379courses

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Explore the Deep Learning Course Catalog

  • Status: Preview

    Skills you'll gain: Image Analysis, Generative Model Architectures, Deep Learning, Computer Vision, Applied Machine Learning

  • Status: Preview

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Generative AI, Applied Machine Learning, Machine Learning Methods, Deep Learning, Natural Language Processing, Artificial Neural Networks

  • Status: Free Trial

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Generative Model Architectures, Natural Language Processing, Machine Learning Methods, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Text Mining

  • Status: Free Trial

    Skills you'll gain: Generative AI, Image Analysis, Generative Model Architectures, Deep Learning, Applied Machine Learning, Computer Vision

  • Skills you'll gain: Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Data Pipelines, Data Processing, Data Cleansing, Data Transformation, Deep Learning, Scalability, Application Deployment, Artificial Neural Networks, Machine Learning

  • University of Colorado Boulder

    Skills you'll gain: Data Mining, Unsupervised Learning, Supervised Learning, Deep Learning, Machine Learning Algorithms, Statistical Modeling, Anomaly Detection, Probability, Statistical Inference, Statistical Hypothesis Testing, Service Level, Performance Testing, Dimensionality Reduction, Applied Machine Learning, Data Warehousing, Data Pipelines, Data Processing, Software Engineering, Bash (Scripting Language), Data Science

  • Skills you'll gain: Keras (Neural Network Library), Tensorflow, Generative Model Architectures, Deep Learning, Natural Language Processing, Machine Learning Methods

  • Illinois Institute of Technology

    Skills you'll gain: Database Design, Statistical Analysis, Time Series Analysis and Forecasting, Relational Databases, Database Application, Database Systems, Data Analysis, Database Management, NoSQL, Database Theory, Databases, Machine Learning Algorithms, SQL, Big Data, Deep Learning, Bayesian Statistics, Statistical Inference, Technical Communication, Regression Analysis, Data Validation

  • Skills you'll gain: Natural Language Processing, Field-Programmable Gate Array (FPGA), Technical Communication, Statistical Machine Learning, Machine Learning, Embedded Systems, Embedded Software, Machine Learning Algorithms, Distributed Computing, Deep Learning, Image Analysis, Hardware Design, Computer Vision, Electrical and Computer Engineering, Engineering Analysis, Student Support and Services, Student Services, Text Mining, Digital Communications, Electrical Engineering

  • Skills you'll gain: Social Network Analysis, Systems Thinking, Unsupervised Learning, Data Storytelling, Reinforcement Learning, Marketing Analytics, Deep Learning, Computer Vision, Predictive Modeling, Project Management Life Cycle, Time Series Analysis and Forecasting, Strategic Decision-Making, MLOps (Machine Learning Operations), Financial Statement Analysis, Simulations, Exploratory Data Analysis, Dashboard, Statistical Analysis, Random Forest Algorithm, Operations Research

  • Universidad de los Andes

    Skills you'll gain: LLM Application, Supervised Learning, User Story, Unsupervised Learning, Project Closure, Cloud-Native Computing, Process Analysis, Continuous Deployment, Software Testing, Android Jetpack, Stakeholder Management, Dashboard, Design Thinking, Infrastructure As A Service (IaaS), Security Requirements Analysis, API Design, Internet Of Things, Angular, Deep Learning, Software Architecture

  • Universidad de los Andes

    Skills you'll gain: Real-Time Operating Systems, LLM Application, Supervised Learning, Semantic Web, Unsupervised Learning, Cloud-Native Computing, Continuous Deployment, Reinforcement Learning, Stakeholder Management, Computer Vision, MLOps (Machine Learning Operations), Biomedical Engineering, Natural Language Processing, Artificial Intelligence, Deep Learning, Data Ethics, Game Theory, Probability & Statistics, Machine Learning Methods, Responsible AI