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.

Skills you'll gain: Generative Adversarial Networks (GANs), Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, Convolutional Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Data Preprocessing, Embeddings, Network Architecture, Matplotlib, Jupyter, NumPy
Advanced · Course · 3 - 6 Months

Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, Retrieval-Augmented Generation, Generative AI, Autoencoders, ChatGPT, OpenAI, Deep Learning, Model Evaluation, Vision Transformer (ViT), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Large Language Modeling, Prompt Engineering, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Computer Vision, Unsupervised Learning, Natural Language Processing
Beginner · Specialization · 1 - 3 Months

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: Model Deployment, Dataflow, Data Lakes, Data Pipelines, Google Cloud Platform, Real Time Data, Data Import/Export, Workflow Management, Extract, Transform, Load, Data Transformation, PySpark, Tensorflow, Data Governance, Apache Spark, Dashboard, Apache Airflow, Data Warehousing, Data Architecture, Unstructured Data, Data Infrastructure
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Tensorflow, Predictive Modeling, Dimensionality Reduction, Classification Algorithms, Time Series Analysis and Forecasting, Model Evaluation
Advanced · Course · 1 - 3 Months

Skills you'll gain: Deep Learning, Tensorflow, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Keras (Neural Network Library), Artificial Intelligence, Recurrent Neural Networks (RNNs), Machine Learning Methods, Natural Language Processing, Python Programming, Serverless Computing, Machine Learning, Data Processing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Data Preprocessing, Jupyter, Image Analysis, Cloud Deployment, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Amazon Web Services, Python Programming, Data Transformation, Logistic Regression, Machine Learning Methods, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Apache Spark, Artificial Intelligence and Machine Learning (AI/ML), AWS SageMaker, Scalability, Tensorflow, Dimensionality Reduction, Autoencoders, Applied Machine Learning, Python Programming, Fraud detection, Unsupervised Learning, Data Preprocessing, Model Evaluation, Performance Tuning
Intermediate · Course · 3 - 6 Months

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

Skills you'll gain: Databricks, Model Deployment, Responsible AI, Microsoft Azure, Data Science, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Model Evaluation, Machine Learning, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Tensorflow, Model Deployment, Recurrent Neural Networks (RNNs), Generative AI, Keras (Neural Network Library), Applied Machine Learning, Machine Learning, Natural Language Processing
Advanced · Course · 1 - 4 Weeks

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