Skills you'll gain: Feature Engineering, Tensorflow, Google Cloud Platform, Model Deployment, Data Preprocessing, Data Quality, Model Evaluation, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Embeddings, Exploratory Data Analysis, Supervised Learning, Logistic Regression, MLOps (Machine Learning Operations), Machine Learning, AI Enablement, Data Pipelines, Jupyter, Big Data, Artificial Neural Networks

Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Time Series Analysis and Forecasting, Applied Machine Learning, Convolutional Neural Networks, Deep Learning, Predictive Modeling, Data Preprocessing, Artificial Neural Networks, Forecasting, Machine Learning

Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Responsible AI, Tensorflow, Model Evaluation, Data Analysis, Google Cloud Platform, Keras (Neural Network Library), Data Preprocessing, Data Quality, Data Cleansing, MLOps (Machine Learning Operations), Machine Learning, Logistic Regression, Model Deployment, Data Pipelines, Machine Learning Algorithms, Performance Tuning, Artificial Neural Networks, Applied Machine Learning

Skills you'll gain: Feature Engineering, Responsible AI, Model Deployment, Tensorflow, Exploratory Data Analysis, Data Quality, Machine Learning, Applied Machine Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Google Cloud Platform, MLOps (Machine Learning Operations), Data Cleansing, Supervised Learning, Data Preprocessing, Data Strategy, Artificial Neural Networks, Model Evaluation, Logistic Regression, Performance Tuning

Skills you'll gain: Tensorflow, Keras (Neural Network Library), Applied Machine Learning, Generative AI, Model Deployment, Natural Language Processing

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, Image Analysis, Artificial Neural Networks, Text Mining, Computer Vision, Data Preprocessing, Tensorflow, Deep Learning, Model Deployment, Applied Machine Learning, Google Cloud Platform, Jupyter, Matplotlib

Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Deployment, Google Cloud Platform, Cloud Deployment, Deep Learning, Machine Learning Methods, Data Preprocessing, Data Pipelines, Artificial Neural Networks, Data Transformation, Data Cleansing, Application Programming Interface (API)

Skills you'll gain: Keras (Neural Network Library), Tensorflow, Recurrent Neural Networks (RNNs), Natural Language Processing, Applied Machine Learning, Text Mining

Skills you'll gain: Keras (Neural Network Library), Reinforcement Learning, Convolutional Neural Networks, Unsupervised Learning, Deep Learning, Autoencoders, Tensorflow, Recurrent Neural Networks (RNNs), Machine Learning Methods, Generative AI, Generative Adversarial Networks (GANs), Transfer Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Model Evaluation, Performance Tuning

Skills you'll gain: Generative AI, Generative Model Architectures, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Model Deployment, Microsoft Azure, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Model Evaluation, Tensorflow, Data Pipelines, Prototyping, Image Quality, Time Series Analysis and Forecasting, Forecasting

Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Convolutional Neural Networks, Deep Learning, Amazon Elastic Compute Cloud, Transfer Learning, Image Analysis, Amazon Web Services, Artificial Neural Networks, Keras (Neural Network Library), Model Deployment, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Data Preprocessing, Classification Algorithms, Application Development, Python Programming, Network Architecture

Skills you'll gain: Tensorflow, Model Deployment, Data Pipelines, Keras (Neural Network Library), Google Cloud Platform, Data Preprocessing, Embeddings, MLOps (Machine Learning Operations), Feature Engineering, Data Cleansing, Deep Learning, Data Transformation, Artificial Neural Networks, Model Evaluation