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
376courses

Filter by

Skip to search results

Subject
Required

Language
Required

The language used throughout the course, in both instruction and assessments.

Learning Product
Required

Build job-relevant skills in under 2 hours with hands-on tutorials.
Learn from top instructors with graded assignments, videos, and discussion forums.
Learn a new tool or skill in an interactive, hands-on environment.
Get in-depth knowledge of a subject by completing a series of courses and projects.
Earn career credentials from industry leaders that demonstrate your expertise.
Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.
Earn a university-issued career credential in a flexible, interactive format.

Level
Required

Duration
Required

Subtitles
Required

Educator
Required

Explore the Deep Learning Course Catalog

  • Status: New
    Status: Free Trial

    Pearson

    Skills you'll gain: Prompt Engineering, Large Language Modeling, LLM Application, ChatGPT, Natural Language Processing, Generative AI Agents, OpenAI, Generative Model Architectures, Multimodal Prompts, Generative AI, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Cost Management, Deep Learning, Application Deployment, Artificial Intelligence, Case Studies, Reinforcement Learning, Machine Learning

    Intermediate · Specialization · 1 - 4 Weeks

  • Status: New
    Status: Free Trial

    Pearson

    Skills you'll gain: Generative AI, Large Language Modeling, PyTorch (Machine Learning Library), Generative Model Architectures, Multimodal Prompts, Image Analysis, Computer Vision, Artificial Neural Networks, Natural Language Processing, Deep Learning, Prompt Engineering, Image Quality, Text Mining, Data Manipulation, Unsupervised Learning, Performance Tuning

    Intermediate · Specialization · 1 - 4 Weeks

  • Status: Preview

    Northeastern University

    Skills you'll gain: Natural Language Processing, Data Ethics, Responsible AI, Deep Learning, Artificial Neural Networks, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Scalability

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview

    DeepLearning.AI

    Skills you'll gain: Image Analysis, Computer Vision, Deep Learning, Artificial Neural Networks, Machine Learning Methods, Network Model, Network Architecture, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial

    Packt

    Skills you'll gain: Tensorflow, Artificial Neural Networks, Deep Learning, Predictive Modeling, Time Series Analysis and Forecasting, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Data Analysis, Data Processing

    Advanced · Course · 1 - 3 Months

  • Status: New
    Status: Free Trial

    Pearson

    Skills you'll gain: Prompt Engineering, Large Language Modeling, LLM Application, ChatGPT, Natural Language Processing, Generative AI Agents, Generative AI, Generative Model Architectures, Deep Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview

    Google Cloud

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

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Supervised Learning, Artificial Neural Networks, Decision Tree Learning, Machine Learning Algorithms, Machine Learning, Computer Vision, Network Architecture, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • Packt

    Skills you'll gain: Control Systems, Computer Vision, Image Analysis, Automation, Embedded Software, Simulations, Systems Architecture, Deep Learning, Virtual Environment, Software Architecture, Scenario Testing, Global Positioning Systems, Predictive Modeling, Computer Hardware, Estimation, Real Time Data

    Intermediate · Course · 1 - 3 Months

  • Status: New

    Packt

    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

    Intermediate · Course · 3 - 6 Months

  • Status: New
    Status: Free Trial

    Packt

    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

    Advanced · Course · 1 - 3 Months

  • Status: New
    Status: Preview

    Whizlabs

    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

    Beginner · Course · 1 - 3 Months