Deep learning courses can help you learn neural networks, convolutional networks, and recurrent networks, along with their applications in image recognition and natural language processing. You can build skills in model training, hyperparameter tuning, and performance evaluation, which are crucial for developing effective AI solutions. Many courses introduce tools like TensorFlow and PyTorch, allowing you to implement algorithms and optimize models, making your learning experience hands-on and relevant to current industry practices.

University of Colorado Boulder
Skills you'll gain: Object Oriented Design, User Story, Real-Time Operating Systems, Systems Engineering, Unsupervised Learning, New Product Development, Field-Programmable Gate Array (FPGA), Failure Analysis, Sustainable Business, Delegation Skills, Sampling (Statistics), Supplier Management, Computer Vision, Accountability, Data Ethics, Data Mining, Sustainability Reporting, Database Design, Generative AI, Sustainable Design
Earn a degree
Degree · 1 - 4 Years

University of Colorado Boulder
Skills you'll gain: Object Oriented Design, User Story, Real-Time Operating Systems, Systems Engineering, Unsupervised Learning, New Product Development, Field-Programmable Gate Array (FPGA), Failure Analysis, Sustainable Business, Delegation Skills, Sampling (Statistics), Supplier Management, Computer Vision, Accountability, Data Ethics, Data Mining, Sustainability Reporting, Database Design, Generative AI, Sustainable Design
Earn a degree
Degree · 1 - 4 Years
University of Colorado Boulder
Skills you'll gain: Object Oriented Design, User Story, Real-Time Operating Systems, Systems Engineering, Unsupervised Learning, New Product Development, Field-Programmable Gate Array (FPGA), Failure Analysis, Sustainable Business, Delegation Skills, Sampling (Statistics), Supplier Management, Computer Vision, Accountability, Data Ethics, Data Mining, Sustainability Reporting, Database Design, Generative AI, Sustainable Design
Earn a degree
Degree · 1 - 4 Years

University of Colorado Boulder
Skills you'll gain: Object Oriented Design, User Story, Real-Time Operating Systems, Systems Engineering, Unsupervised Learning, New Product Development, Field-Programmable Gate Array (FPGA), Failure Analysis, Sustainable Business, Delegation Skills, Sampling (Statistics), Supplier Management, Computer Vision, Accountability, Data Ethics, Data Mining, Sustainability Reporting, Database Design, Generative AI, Sustainable Design
Earn a degree
Degree · 1 - 4 Years

Illinois Institute of Technology
Skills you'll gain: Process Improvement, Pay Per Click Advertising, Digital Marketing, Responsible AI, Process Management, Global Marketing, Business Process, Financial Statement Analysis, Machine Learning Algorithms, Culture Transformation, Product Lifecycle Management, Digital Transformation, Market Dynamics, Paid media, Capital Budgeting, Design Thinking, Leadership and Management, Game Theory, Microsoft Excel, Business Strategy
Earn a degree
Degree · 1 - 4 Years

University of Colorado Boulder
Skills you'll gain: Object Oriented Design, User Story, Real-Time Operating Systems, Systems Engineering, Unsupervised Learning, New Product Development, Field-Programmable Gate Array (FPGA), Failure Analysis, Sustainable Business, Delegation Skills, Sampling (Statistics), Supplier Management, Computer Vision, Accountability, Data Ethics, Data Mining, Sustainability Reporting, Database Design, Generative AI, Sustainable Design
Earn a degree
Degree · 1 - 4 Years
University of North Texas
Skills you'll gain: Operations Management, Mediation, Compensation and Benefits, Organizational Change, Event Management, Grammar, Selling Techniques, Integrated Marketing Communications, Data Mining, Data Visualization, Design Thinking, Global Marketing, Probability & Statistics, Social Studies, Cultural Diversity, Digital Media Strategy, Organizational Leadership, Political Sciences, Music History, Sociology
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Degree · 1 - 4 Years

Georgetown University
Skills you'll gain: Vulnerability Assessments, Operations Management, Data Storytelling, Business Strategy, Design Thinking, Competitive Intelligence, Survey Creation, Cyber Threat Intelligence, Machine Learning Methods, Social Justice, Descriptive Statistics, Environment, Business Ethics, Capital Budgeting, Market Opportunities, Storytelling, Marketing Planning, International Relations, Policy Development, Supply Chain
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Degree · 1 - 4 Years

University of Leeds
Skills you'll gain: Data Ethics, Statistical Machine Learning, Regression Analysis, Statistical Hypothesis Testing, Exploratory Data Analysis, Bayesian Statistics, Data Analysis, Statistical Visualization, Classification And Regression Tree (CART), Network Analysis, Statistical Methods, Box Plots, Statistical Inference, Unsupervised Learning, R Programming, Data Visualization, Statistical Modeling, Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Object Oriented Programming (OOP)
Earn a degree
Degree · 1 - 4 Years

Illinois Institute of Technology
Skills you'll gain: Database Design, Time Series Analysis and Forecasting, Relational Databases, Statistical Analysis, Database Application, Database Management, Bayesian Statistics, Database Systems, Database Theory, Big Data, Machine Learning Algorithms, Databases, NoSQL, SQL, Deep Learning, MySQL, Statistical Inference, Technical Communication, Regression Analysis, Data Validation
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Degree · 1 - 4 Years

Pontificia Universidad Católica de Chile
Skills you'll gain: Revenue Management, Database Design, Large Language Modeling, Customer Analysis, Descriptive Analytics, FinTech, Biostatistics, Social Network Analysis, People Analytics, Time Series Analysis and Forecasting, Predictive Analytics, Social Determinants Of Health, Gerontology, Cloud Security, Data Visualization, Health Informatics, Risk Analysis, Bayesian Statistics, Spatial Data Analysis, Unsupervised Learning
Earn a degree
Degree · 1 - 4 Years

Pontificia Universidad Católica de Chile
Skills you'll gain: Revenue Management, Database Design, Large Language Modeling, Data Ethics, Customer Analysis, Descriptive Analytics, FinTech, Biostatistics, Social Network Analysis, People Analytics, Time Series Analysis and Forecasting, Predictive Analytics, Social Determinants Of Health, Gerontology, Cloud Security, Unsupervised Learning, Data Visualization, Risk Analysis, Bayesian Statistics, Spatial Data Analysis
Earn a degree
Degree · 1 - 4 Years
Deep learning is a powerful application of machine learning (ML) algorithms modeled after biological systems of information processing called artificial neural networks (ANN). Machine learning is an artificial intelligence (AI) technique that allows computers to automatically learn from data without explicit programming, and deep learning harnesses multiple layers of interconnected neural networks to generate more sophisticated insights.
While this field of computer science is quite new, it is already being used in a growing range of important applications. Deep learning excels at automated image recognition, also known as computer vision, which is used for creating accurate facial recognition systems and safely driving autonomous vehicles. This approach is also used for speech recognition and natural language processing (NLP) applications, which allow for computers to interact with human users via voice commands.
Machine learning algorithms such as logistic regression are key to creating deep learning applications, along with commonly used programming languages such as Tensorflow and Python. These programming languages are generally preferred for teaching and learning in this field due to their flexibility and relative accessibility - an important priority given the relevance of deep learning to a wide range of professionals without a computer science background.
Yes. You can start learning deep learning on Coursera for free in two ways:
If you want to keep learning, earn a certificate in deep learning, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.
Certainly - in fact, Coursera is one of the best places to learn about deep learning. Through partnerships with deeplearning.ai and Stanford University, Coursera offers courses as well as Specializations taught by some of the pioneering thinkers and educators in this field. You can also learn via courses and Specializations from industry leaders such as Google Cloud and Intel, or get a professional certificate from IBM. Guided Projects also offer an opportunity to build skills in deep learning through hands-on tutorials led by experienced instructors, allowing you to learn with confidence.
The skills or experience you may need to have before studying deep learning, and which can help you better understand an advanced concept such as deep learning, can include sign language reading, music generation, and natural language processing (NLP), in addition to many others. If you have knowledge of Python 3 and understand the basic concepts of general machine-learning algorithms and deep learning, you may have the necessary skills to learn this specialization. You may also want to know about probability and statistics to study deep learning concepts. Basic math, such as algebra and calculus, is also an important prerequisite to deep learning because it relates to machine learning and data science. Also, if you have worked in the tech or artificial intelligence (AI) fields, you may have the necessary experience to study deep learning.
The type of person who is best suited to study deep learning is someone comfortable working with statistics, programming, advanced calculus, advanced algebra, and engineering. Deep learning benefits someone passionate about working in the AI fields which can create types of deep learning networks that help machines perform human functions. A person best suited to learn about deep learning has a vested interest in understanding how the intelligence is built to run everything from driverless cars, mobile devices, stock trading systems, and robotic surgery equipment, for example. Deep learning benefits someone with a goal of working with systems such as computer vision, speech recognition, NLP, audio recognition bioinformatics systems, and medical image analysis.