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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


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    Coursera

    ML Concepts, Models & Workflow Essentials

    Skills you'll gain: Model Training, Java Programming, Java, Feature Engineering, Machine Learning Methods, Statistical Machine Learning, Machine Learning Algorithms, Deep Learning, Data Pipelines

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
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    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud - 한국어

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Deployment, Google Cloud Platform, Model Training, Data Preprocessing, Deep Learning, Artificial Neural Networks, Cloud Deployment, Data Pipelines, Data Processing, Feature Engineering, Application Programming Interface (API)

    Intermediate · Course · 1 - 3 Months

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    Google Cloud

    Create Image Captioning Models - Deutsch

    Skills you'll gain: Image Analysis, Deep Learning, Model Training, Generative Model Architectures, Model Evaluation

    Advanced · Course · 1 - 4 Weeks

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    Google Cloud

    Attention Mechanism - 简体中文

    Skills you'll gain: Model Optimization, Machine Learning Methods, Deep Learning, Artificial Neural Networks, Data Processing, Text Mining

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Career Development for Multimodal Intelligence

    Skills you'll gain: Multimodal Prompts, Vision Transformer (ViT), Generative Model Architectures, Model Optimization, MLOps (Machine Learning Operations), Generative AI, AI Integrations, Large Language Modeling, Model Deployment, Tensorflow, PyTorch (Machine Learning Library), Embeddings, Retrieval-Augmented Generation, Image Analysis, Deep Learning, Applied Machine Learning, Computer Vision, Natural Language Processing, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Generative AI Application Integration Patterns

    Skills you'll gain: Responsible AI, Prompt Patterns, Generative AI, Generative Model Architectures, OpenAI API, AI Integrations, LLM Application, Prompt Engineering, ChatGPT, Cloud Solutions, AI Security, Cloud Development, AI Workflows, Data Ethics, Real Time Data, Large Language Modeling, Model Deployment, Artificial Intelligence, Token Optimization, Deep Learning

    Beginner · Course · 1 - 3 Months

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    Edureka

    AutoML: Build ML Models without Code

    Skills you'll gain: Image Analysis, Model Deployment, Reinforcement Learning, Google Cloud Platform, Computer Vision, No-Code Development, Feature Engineering, Applied Machine Learning, Natural Language Processing, Model Training, Google Sheets, Deep Learning, Machine Learning Software, Cloud Deployment, Convolutional Neural Networks, Model Evaluation, Predictive Modeling, Machine Learning, Cloud Platforms, Data Science

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Create Image Captioning Models - 简体中文

    Skills you'll gain: Image Analysis, Model Training, Generative AI, Model Evaluation, Generative Model Architectures, Deep Learning, Applied Machine Learning

    Advanced · Course · 1 - 4 Weeks

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    John Wiley & Sons

    AI for Good: Solutions for Sustainability, Health, and Aid

    Skills you'll gain: Environmental Monitoring, Responsible AI, Social Impact, Applied Machine Learning, Spatial Data Analysis, Data Ethics, Geospatial Information and Technology, Machine Learning, Sustainable Development, Artificial Intelligence, AI literacy, Model Training, Natural Language Processing, Spatial Analysis, Medical Imaging, Health Technology, Deep Learning, Generative AI, Data-Driven Decision-Making, Healthcare Industry Knowledge

    Beginner · Course · 3 - 6 Months

  • Status: New
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    Coursera

    Advanced Model Architectures & Language AI

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Large Language Modeling, Retrieval-Augmented Generation, LLM Application, Data Analysis, Applied Machine Learning, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Model Training, Fine-tuning, Model Deployment, Generative AI, Text Mining, Prompt Engineering, Deep Learning, Random Forest Algorithm, Machine Learning, MLOps (Machine Learning Operations)

    Intermediate · Course · 3 - 6 Months

  • Status: Preview
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    Google Cloud

    Create Image Captioning Models - 繁體中文

    Skills you'll gain: Image Analysis, Model Training, Model Evaluation, Generative AI, Deep Learning, Generative Model Architectures, Model Deployment

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
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    Google Cloud

    Create Image Captioning Models - 한국어

    Skills you'll gain: Image Analysis, Generative AI, Convolutional Neural Networks, Model Training, Deep Learning, Generative Model Architectures, Model Evaluation, Recurrent Neural Networks (RNNs)

    Advanced · Course · 1 - 4 Weeks

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

  • ML Concepts, Models & Workflow Essentials: Coursera
  • Build, Train and Deploy ML Models with Keras on Google Cloud - 한국어: Google Cloud
  • Create Image Captioning Models - Deutsch: Google Cloud
  • Attention Mechanism - 简体中文: Google Cloud
  • Career Development for Multimodal Intelligence: Coursera
  • Generative AI Application Integration Patterns: Packt
  • AutoML: Build ML Models without Code: Edureka
  • Create Image Captioning Models - 简体中文: Google Cloud
  • AI for Good: Solutions for Sustainability, Health, and Aid: John Wiley & Sons
  • Advanced Model Architectures & Language AI: Coursera

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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