TensorFlow courses can help you learn neural networks, deep learning techniques, and model deployment strategies. You can build skills in data preprocessing, hyperparameter tuning, and performance evaluation. Many courses introduce tools like Keras for building models, TensorBoard for visualization, and various APIs for integrating AI into applications.

Google Cloud
Skills you'll gain: Feature Engineering, Data Preprocessing, Tensorflow, Dataflow, Data Transformation, Keras (Neural Network Library), Applied Machine Learning, Data Modeling, Statistical Machine Learning, Machine Learning
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Tensorflow, Cloud Computing Architecture, Systems Architecture, Performance Tuning, Distributed Computing, Machine Learning, Scalability, Data Pipelines, Data Processing
Advanced · Course · 1 - 3 Months

Skills you'll gain: Google Cloud Platform, Tensorflow, Dataflow, Data Pipelines, Feature Engineering, Model Deployment, Real Time Data, Applied Machine Learning, Data Lakes, Apache Spark, Dashboard, Data Warehousing, Extract, Transform, Load, Big Data, Serverless Computing, Data Infrastructure, Unstructured Data, PySpark, Cloud Storage, Data Processing
Intermediate · Specialization · 3 - 6 Months

Universidad Austral
Skills you'll gain: Natural Language Processing, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Applied Machine Learning, Deep Learning, Scikit Learn (Machine Learning Library), Python Programming, Jupyter, Machine Learning, Unsupervised Learning, Algorithms, Supervised Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Convolutional Neural Networks, Computer Vision, Data Science, Python Programming
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Data Processing, Deep Learning, Data Transformation, Model Deployment, Machine Learning Software, Model Evaluation, Machine Learning, Distributed Computing, Exploratory Data Analysis, Regression Analysis
Intermediate · Course · 1 - 3 Months

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
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Natural Language Processing, Deep Learning, Predictive Modeling, Time Series Analysis and Forecasting, Artificial Neural Networks, Machine Learning, Embeddings, Data Preprocessing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Dataflow, Google Cloud Platform, Real Time Data, Data Pipelines, Data Warehousing, Extract, Transform, Load, Model Deployment, Big Data, Data Transformation, Tensorflow, Dashboard, Data Lakes, Apache Spark, Data Processing, Workflow Management, PySpark, Applied Machine Learning, Data Preprocessing, Cloud Engineering, Unstructured Data
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Artificial Neural Networks, Deep Learning, Convolutional Neural Networks, Image Analysis, Keras (Neural Network Library), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Machine Learning Methods, Network Architecture, Artificial Intelligence, Network Model, Machine Learning, Classification Algorithms, Data Processing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Classification Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Model Deployment, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Supervised Learning, Virtual Machines, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

Universidades Anáhuac
Skills you'll gain: Predictive Modeling, Model Evaluation, Data Cleansing, Time Series Analysis and Forecasting, Database Management, Artificial Neural Networks, SQL, Databases, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, Statistical Modeling, Data Modeling, Data Visualization Software, Forecasting, Pandas (Python Package), Data Science, Supervised Learning, Convolutional Neural Networks
Intermediate · Specialization · 1 - 3 Months