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  • Deep Learning

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

    Start Neural Networks Advanced Model Architectures

    Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Technical Documentation, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Data Analysis, Applied Machine Learning, Network Architecture, Supervised Learning

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Vision & Audio AI Systems

    Skills you'll gain: Apache Airflow, Data Validation, Image Analysis, Transfer Learning, Data Preprocessing, Data Integrity, Model Evaluation, Debugging, Computer Vision, PyTorch (Machine Learning Library), Data Pipelines, Feature Engineering, MLOps (Machine Learning Operations), Tensorflow, Algorithms, Embeddings, Applied Machine Learning, Performance Tuning, Deep Learning, Digital Signal Processing

    Advanced · Specialization · 3 - 6 Months

  • M

    Microsoft

    Build a computer vision app with Azure Cognitive Services

    Skills you'll gain: Application Programming Interface (API), Microsoft Azure, Cloud API, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), User Accounts, Image Analysis, Artificial Intelligence, Cloud Computing, Software Development

    4.5
    Rating, 4.5 out of 5 stars
    ·
    519 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • P

    Packt

    Generative AI Foundations for Absolute Beginners

    Skills you'll gain: Prompt Engineering, Generative AI, Responsible AI, Generative Model Architectures, Data Ethics, Large Language Modeling, Artificial Intelligence, Machine Learning, Artificial Neural Networks, Computer Science, Deep Learning, Machine Learning Algorithms

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Eyes on AI - Computer Vision Engineering

    Skills you'll gain: Model Evaluation, Transfer Learning, PyTorch (Machine Learning Library), Model Deployment, Data Preprocessing, Technical Communication, MLOps (Machine Learning Operations), Image Analysis, Computer Vision, AI Workflows, Convolutional Neural Networks, Verification And Validation, Tensorflow, Dataflow, Performance Tuning, Performance Metric, Data Analysis, Deep Learning, Exploratory Data Analysis, Process Optimization

    Intermediate · Professional Certificate · 3 - 6 Months

  • D

    DeepLearning.AI

    Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, Generative AI, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Deep Learning, Model Evaluation, Responsible AI, Artificial Neural Networks, Data Ethics, Machine Learning, Image Quality, Unsupervised Learning, Information Privacy, Data Synthesis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.4K reviews

    Intermediate · Specialization · 1 - 3 Months

  • C

    Coursera

    Career Development for Multimodal Intelligence

    Skills you'll gain: Vision Transformer (ViT), MLOps (Machine Learning Operations), Generative AI, Model Deployment, Tensorflow, Performance Tuning, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Applied Machine Learning, Computer Vision, Natural Language Processing, System Design and Implementation, Technical Communication, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Pennsylvania

    Introduction to Spreadsheets and Models

    Skills you'll gain: Spreadsheet Software, Financial Modeling, Regression Analysis, Excel Formulas, Business Modeling, Simulation and Simulation Software, Operations Research, Microsoft Excel, Google Sheets, Probability Distribution, Analysis, Forecasting, Predictive Analytics, Risk Analysis, Statistical Methods, Data Analysis Software, Process Optimization, Decision Tree Learning

    4.2
    Rating, 4.2 out of 5 stars
    ·
    3.9K reviews

    Mixed · Course · 1 - 4 Weeks

  • P

    Packt

    AI Engineer Professional

    Skills you'll gain: MLOps (Machine Learning Operations), Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Containerization, AI Workflows, Model Evaluation, Model Deployment, Generative AI Agents, LangGraph, Keras (Neural Network Library), Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, BeeAI, Image Analysis, Deep Learning, Large Language Modeling, Natural Language Processing, Vision Transformer (ViT), Python Programming

    Advanced · Specialization · 1 - 3 Months

  • G

    Google Cloud

    Data Engineering, Big Data, and Machine Learning on GCP

    Skills you'll gain: Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Dashboard, Data Architecture, Data Governance, Apache Kafka, Cloud Deployment, Apache Hadoop, Metadata Management, Data Storage, Apache Hive, Application Programming Interface (API), Data Quality, Data Cleansing, Applied Machine Learning, Cloud Services

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.4K reviews

    Intermediate · Specialization · 3 - 6 Months

  • P

    Packt

    AI & Python Development Megaclass

    Skills you'll gain: Supervised Learning, Feature Engineering, Applied Machine Learning, Object Oriented Programming (OOP), Unsupervised Learning, Model Evaluation, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Machine Learning Algorithms, Data Visualization, Natural Language Processing, Seaborn, Predictive Modeling, Flask (Web Framework), Python Programming, Deep Learning, PyTorch (Machine Learning Library), Programming Principles, Web Applications

    Beginner · Specialization · 3 - 6 Months

  • U

    University of California, Davis

    Google SEO Fundamentals

    Skills you'll gain: Search Engine Optimization, Keyword Research, Web Analytics and SEO, Digital Marketing, Content Strategy, Web Analytics, Marketing, AI Personalization, User Research, Competitive Analysis, Social Media, User Experience

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.7K reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Start Neural Networks Advanced Model Architectures: Coursera
  • Vision & Audio AI Systems: Coursera
  • Build a computer vision app with Azure Cognitive Services: Microsoft
  • Generative AI Foundations for Absolute Beginners: Packt
  • Eyes on AI - Computer Vision Engineering: Coursera
  • Generative Adversarial Networks (GANs): DeepLearning.AI
  • Career Development for Multimodal Intelligence: Coursera
  • Introduction to Spreadsheets and Models: University of Pennsylvania
  • AI Engineer Professional: Packt
  • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud

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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70 courses
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