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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.


More to explore:

Popular Deep Learning Courses and Certifications


  • Status: Free Trial
    Free Trial
    S

    SAS

    SAS Statistical Business Analyst

    Skills you'll gain: Logistic Regression, SAS (Software), Predictive Modeling, Model Evaluation, Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, Statistical Modeling, Regression Analysis, Statistical Methods, Probability & Statistics, Classification And Regression Tree (CART), Big Data, Plot (Graphics), Data Analysis, Model Deployment, Statistical Inference, Data Preprocessing, Statistical Machine Learning, Feature Engineering

    4.6
    Rating, 4.6 out of 5 stars
    ·
    228 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Programming for Python Data Science: Principles to Practice

    Skills you'll gain: Matplotlib, Pandas (Python Package), NumPy, Data Visualization, Data Cleansing, Data Structures, Data Visualization Software, Predictive Analytics, Debugging, Object Oriented Programming (OOP), Data Manipulation, Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Data Preprocessing, Exploratory Data Analysis, Predictive Modeling, Data Analysis

    4
    Rating, 4 out of 5 stars
    ·
    95 reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    University of California San Diego

    Internet of Things: Sensing and Actuation From Devices

    Skills you'll gain: Internet Of Things, Embedded Software, Embedded Systems, Digital Signal Processing, Peripheral Devices, Wireless Networks, Communication Systems, Prototyping

    4.5
    Rating, 4.5 out of 5 stars
    ·
    159 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Applied Python Data Engineering

    Skills you'll gain: Data Visualization Software, PySpark, Data Visualization, Data Storytelling, Statistical Visualization, Site Reliability Engineering, Docker (Software), Databricks, Containerization, Interactive Data Visualization, Plot (Graphics), Plotly, Data Pipelines, Kubernetes, Matplotlib, Apache Spark, Apache Hadoop, Big Data, Data Science, Python Programming

    3.8
    Rating, 3.8 out of 5 stars
    ·
    115 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Universidad de los Andes

    Introducción a la ciencia de datos aplicada

    Skills you'll gain: Data Visualization, Exploratory Data Analysis, Statistical Hypothesis Testing, Correlation Analysis, Data Science, Jupyter, Data Analysis, Business Analytics, Statistical Analysis, Probability & Statistics, Python Programming, Descriptive Statistics, Data Modeling, Statistical Modeling, Design Thinking

    4.7
    Rating, 4.7 out of 5 stars
    ·
    443 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Politecnico di Milano

    Technologies and platforms for Artificial Intelligence

    Skills you'll gain: AI Enablement, Artificial Intelligence, Cloud Platforms, Deep Learning, Hardware Architecture, Information Technology, Internet Of Things, Machine Learning Methods, Cloud Computing, Embedded Systems, Data Centers

    4.8
    Rating, 4.8 out of 5 stars
    ·
    90 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Build and Operate Machine Learning Solutions with Azure

    Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Databricks, Cloud Computing, Data Ethics, Model Deployment, Data Pipelines, Data Preprocessing, Responsible AI, Machine Learning, Model Evaluation, Information Privacy, Continuous Monitoring, Data Security, Performance Tuning

    3.7
    Rating, 3.7 out of 5 stars
    ·
    71 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Intel

    AI Essentials

    Skills you'll gain: Artificial Intelligence, AI Enablement, Discussion Facilitation, Company, Product, and Service Knowledge, Responsible AI, Machine Learning, Data Analysis, Business Research, B2B Sales

    4.4
    Rating, 4.4 out of 5 stars
    ·
    740 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    A

    Amazon Web Services

    Exploring Artificial Intelligence Use Cases and Applications

    Skills you'll gain: Generative AI, Business Metrics, Machine Learning Methods, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Machine Learning, Machine Learning Algorithms, Model Evaluation, Artificial Intelligence, Model Deployment, Key Performance Indicators (KPIs), Performance Measurement, Performance Metric, AI Product Strategy, Business Solutions

    4.5
    Rating, 4.5 out of 5 stars
    ·
    243 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Turn Ethical Frameworks into Actionable Steps

    Skills you'll gain: Data Ethics, Business Ethics, Strategic Thinking, Ethical Standards And Conduct, Regulatory Compliance, Analytical Skills, Responsible AI, Technology Strategies, Compliance Management, Decision Making, Business Analysis, Business Strategy, Artificial Intelligence, Information Privacy

    4.7
    Rating, 4.7 out of 5 stars
    ·
    156 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Matrix Factorization and Advanced Techniques

    Skills you'll gain: Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Algorithms, Model Evaluation, Linear Algebra

    4.4
    Rating, 4.4 out of 5 stars
    ·
    190 reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Tweet Emotion Recognition with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Python Programming, Natural Language Processing, Data Preprocessing, Applied Machine Learning, Text Mining, Machine Learning Algorithms, Deep Learning, Classification Algorithms, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    174 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • SAS Statistical Business Analyst: SAS
  • Programming for Python Data Science: Principles to Practice: Duke University
  • Internet of Things: Sensing and Actuation From Devices: University of California San Diego
  • Applied Python Data Engineering: Duke University
  • Introducción a la ciencia de datos aplicada: Universidad de los Andes
  • Technologies and platforms for Artificial Intelligence: Politecnico di Milano
  • Build and Operate Machine Learning Solutions with Azure: Microsoft
  • AI Essentials : Intel
  • Exploring Artificial Intelligence Use Cases and Applications: Amazon Web Services
  • Turn Ethical Frameworks into Actionable Steps: CertNexus

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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