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Deep Learning Courses

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.


Popular Deep Learning Courses and Certifications


  • C

    Coursera

    PyCaret: Anatomy of Regression

    Skills you'll gain: Regression Analysis, Predictive Modeling, Scikit Learn (Machine Learning Library), Feature Engineering, Model Evaluation, Data Preprocessing, Applied Machine Learning, Data Visualization, Exploratory Data Analysis, Performance Tuning, Python Programming, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    14 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Cape Town

    Fintech Startups in Emerging Markets

    Skills you'll gain: Design Thinking, Entrepreneurship, Business Modeling, Blockchain, Solution Design, Cryptography, Financial Regulations, FinTech, Financial Regulation, Business Planning, Emerging Technologies, Financial Systems, Video Production, Business Strategies, Market Opportunities, Business Strategy, Mobile Banking, Banking, Machine Learning, New Business Development

    4.7
    Rating, 4.7 out of 5 stars
    ·
    260 reviews

    Beginner · Specialization · 3 - 6 Months

  • P

    Packt

    Clustering and Classification with Machine Learning in R

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, R (Software), Classification Algorithms, Machine Learning, Decision Tree Learning, Data Science, Ggplot2, Feature Engineering, Data Preprocessing, Statistical Programming, Predictive Modeling, Data Manipulation, Model Evaluation, Regression Analysis

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Databricks to Local LLMs

    Skills you'll gain: Databricks, Model Deployment, Generative AI, Data Lakes, Extract, Transform, Load, MLOps (Machine Learning Operations), Data Transformation, Data Pipelines, Hugging Face, Large Language Modeling, Responsible AI, Analytics, Data Analysis, Data Processing, Data Science, Machine Learning

    4.1
    Rating, 4.1 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    L’IA pour tous

    Skills you'll gain: AI Product Strategy, Business Strategy, Artificial Intelligence, Data Ethics, Artificial Neural Networks, Data Science, Cross-Functional Collaboration, Deep Learning, Machine Learning, Recruitment

    4.7
    Rating, 4.7 out of 5 stars
    ·
    45 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    ML Parameters Optimization: GridSearch, Bayesian, Random

    Skills you'll gain: Model Evaluation, Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Machine Learning, Bayesian Statistics, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • D

    Duke University

    Introduction to Retrieval Augmented Generation (RAG)

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, OpenAI API, Data Import/Export, Pandas (Python Package), Generative AI, Application Programming Interface (API), Data Manipulation, Large Language Modeling, Python Programming, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    46 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    R

    Real Madrid Graduate School Universidad Europea

    Introduction to AI and Technology in Sports

    Skills you'll gain: Sports Medicine, Analytics, Artificial Intelligence, AI Enablement, Data Analysis Software, Data Analysis, Deep Learning, Real Time Data, Machine Learning, Data Ethics, Health Technology, AI Security, Responsible AI, Large Language Modeling, Technology Solutions, Scikit Learn (Machine Learning Library), Technology Strategies, Statistical Methods, Natural Language Processing, Performance Appraisal

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Teaching Impacts of Technology: Data Collection, Use, and Privacy

    Skills you'll gain: Big Data, Cybersecurity, Pedagogy, Data Security, Cryptography, Information Privacy, Encryption, Responsible AI, AI Personalization, Computer Science, Information Technology, Web Applications, Web Servers, Machine Learning, Supervised Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    F

    Fundação Instituto de Administração

    Fundamentos de IA Aplicados ao CRM

    Skills you'll gain: Predictive Analytics, Customer Relationship Management, Data-Driven Decision-Making, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Machine Learning, Deep Learning, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Mastering Neural Networks and Model Regularization

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Supervised Learning, Artificial Neural Networks, Model Evaluation, Decision Tree Learning, Network Planning And Design, Machine Learning, Computer Vision

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Social Computing

    Skills you'll gain: Social Network Analysis, Network Analysis, Responsible AI, Graph Theory, Machine Learning, Applied Machine Learning, Research, Model Evaluation, Social Sciences, Statistical Analysis, Amazon Web Services, R Programming, Tensorflow, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Research Design, Sociology, Driving engagement, Machine Learning Methods, Behavioral Economics

    4.3
    Rating, 4.3 out of 5 stars
    ·
    12 reviews

    Intermediate · Specialization · 3 - 6 Months

Searches related to deep learning

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1…505152…78

In summary, here are 10 of our most popular deep learning courses

  • PyCaret: Anatomy of Regression: Coursera
  • Fintech Startups in Emerging Markets: University of Cape Town
  • Clustering and Classification with Machine Learning in R: Packt
  • Databricks to Local LLMs: Duke University
  • L’IA pour tous: DeepLearning.AI
  • ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera
  • Introduction to Retrieval Augmented Generation (RAG): Duke University
  • Introduction to AI and Technology in Sports: Real Madrid Graduate School Universidad Europea
  • Teaching Impacts of Technology: Data Collection, Use, and Privacy: University of California San Diego
  • Fundamentos de IA Aplicados ao CRM: Fundação Instituto de Administração

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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