Keras Courses
Keras courses can help you learn neural network design, model training, and performance evaluation techniques. You can build skills in optimizing hyperparameters, implementing convolutional and recurrent layers, and using transfer learning for various applications. Many courses introduce tools like TensorFlow and Python, that support developing AI models and deploying them in practical work.
Popular Keras Courses and Certifications
Skills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Model Optimization, Autoencoders, Model Training, Regression Analysis, Machine Learning
Skills you'll gain: PyTorch (Machine Learning Library), Model Optimization, Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Transfer Learning, Autoencoders, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Generative Model Architectures, Model Training, Logistic Regression, Image Analysis, Applied Machine Learning, Model Evaluation, Regression Analysis
Skills you'll gain: Embeddings, Natural Language Processing, Keras (Neural Network Library), Generative AI, Convolutional Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Model Evaluation, Generative Model Architectures, Image Analysis, Model Training, Artificial Neural Networks, Computer Vision, Model Optimization, Data Preprocessing, Tensorflow, Deep Learning, Applied Machine Learning, AI Workflows, Model Deployment
Skills you'll gain: Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), NumPy, Model Optimization, Applied Machine Learning, Transfer Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Model Training, Generative Model Architectures, Deep Learning, Artificial Neural Networks, Artificial Intelligence, Machine Learning, Data Science
Skills you'll gain: Keras (Neural Network Library), Tensorflow, Model Training, Convolutional Neural Networks, Deep Learning, Machine Learning, Computer Vision
Skills you'll gain: Apache Spark, Retrieval-Augmented Generation, OpenAI API, Generative AI, LLM Application, Model Evaluation, Data Preprocessing, Large Language Modeling, Generative Adversarial Networks (GANs), Predictive Modeling, Matplotlib, Keras (Neural Network Library), Fine-tuning, Transfer Learning, Deep Learning, Machine Learning Methods, Applied Machine Learning, Seaborn, Data Visualization, Machine Learning
What brings you to Coursera today?
Skills you'll gain: Prompt Engineering, Prompt Patterns, Unit Testing, Large Language Modeling, LangChain, Generative AI, Retrieval-Augmented Generation, Data Wrangling, Responsible AI, Exploratory Data Analysis, Unsupervised Learning, Model Evaluation, Generative Model Architectures, PyTorch (Machine Learning Library), LLM Application, Keras (Neural Network Library), Supervised Learning, Vector Databases, Fine-tuning, Python Programming
Imperial College London
Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Model Training, Transfer Learning, Convolutional Neural Networks, Computer Programming, Supervised Learning, Natural Language Processing, Data Processing, Artificial Neural Networks, Model Optimization, Probability Distribution, Embeddings, Application Programming Interface (API)
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Deployment, Google Cloud Platform, Model Training, Data Preprocessing, Deep Learning, Artificial Neural Networks, Model Optimization, Cloud Deployment, Data Pipelines, Applied Machine Learning
Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Technical Documentation, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Model Optimization, Network Architecture
Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, Retrieval-Augmented Generation, PyTorch (Machine Learning Library), Computer Vision, Unsupervised Learning, Generative Model Architectures, Generative AI, Model Optimization, Keras (Neural Network Library), Supervised Learning, LLM Application, Generative AI Agents, Model Evaluation, Vector Databases, Fine-tuning, Machine Learning, Python Programming, Data Science
Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Reinforcement Learning, Deep Learning, Model Optimization, Autoencoders, Unsupervised Learning, Tensorflow, Generative Adversarial Networks (GANs), Generative Model Architectures, Transfer Learning, Model Training, Time Series Analysis and Forecasting
Best Keras courses from IBM
Top-rated Keras courses offered by IBM on Coursera.
- Introduction to Deep Learning & Neural Networks with KerasIBMIntermediate1 - 3 MonthsIBM
- IBM Deep Learning with PyTorch, Keras and TensorflowIBMIntermediate3 - 6 MonthsIBM
- IBM Generative AI EngineeringIBMBeginner3 - 6 MonthsIBM
Best Keras certificate programs
Earn a certificate in Keras from top universities and companies.
- Keras Deep Learning Projects with TensorFlowEDUCBABeginner1 - 3 MonthsSpecialization
- Keras Deep Learning & Generative Adversarial Networks (GAN)PacktIntermediate3 - 6 MonthsSpecialization
- Machine Learning, Data Science and Generative AI with PythonPacktIntermediate3 - 6 MonthsSpecialization
