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: MLOps (Machine Learning Operations), Google Cloud Platform, CI/CD, Tensorflow, Data Pipelines, Continuous Deployment, Model Deployment, Metadata Management, AI Orchestration, Model Training, AI Workflows, Model Evaluation, Data Validation
Advanced · Course · 1 - 3 Months

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

Skills you'll gain: Tensorflow, Model Deployment, Keras (Neural Network Library), Data Pipelines, Google Cloud Platform, Model Training, Model Optimization, Cloud Deployment, Deep Learning, Data Preprocessing, Applied Machine Learning, Scalability, Artificial Neural Networks, Data Transformation
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Training, Generative Model Architectures, Generative AI, Deep Learning, Machine Learning Methods
Advanced · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Convolutional Neural Networks, Computer Vision, Recurrent Neural Networks (RNNs), Image Analysis, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Deep Learning, Artificial Neural Networks, Autoencoders, Keras (Neural Network Library), Applied Machine Learning, Model Training
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Model Optimization, MLOps (Machine Learning Operations), Model Deployment, Model Training, Systems Design, Tensorflow, Hybrid Cloud Computing, Google Cloud Platform, Performance Tuning, Machine Learning, Distributed Computing, Dependency Analysis, Data Pipelines
Advanced · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), Applied Machine Learning, Keras (Neural Network Library), Model Evaluation, Model Training
Intermediate · Course · 1 - 4 Weeks

University of Pennsylvania
Skills you'll gain: Machine Learning Methods, Generative AI, Data Management, Generative Model Architectures, Big Data, Statistical Machine Learning, Applied Machine Learning, Machine Learning Algorithms, Generative Adversarial Networks (GANs), Machine Learning, AI Product Strategy, Large Language Modeling, Customer Data Management, AI literacy, Autoencoders, Model Optimization, Deep Learning, Model Evaluation, Algorithms, Data Analysis
Mixed · Course · 1 - 3 Months

Skills you'll gain: Natural Language Processing, Supervised Learning, Embeddings, Applied Machine Learning, Dimensionality Reduction, Text Mining, Statistical Machine Learning, Classification Algorithms, Logistic Regression, Feature Engineering, Probability & Statistics
Intermediate · Course · 1 - 4 Weeks

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

DeepLearning.AI
Skills you'll gain: Natural Language Processing, Supervised Learning, Transfer Learning, Recurrent Neural Networks (RNNs), Markov Model, Embeddings, Applied Machine Learning, Text Mining, Dimensionality Reduction, Large Language Modeling, Statistical Machine Learning, Artificial Neural Networks, Classification Algorithms, Data Preprocessing, Deep Learning, Tensorflow, Machine Learning Methods, Logistic Regression, Feature Engineering, Keras (Neural Network Library)
Intermediate · Specialization · 3 - 6 Months

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, Prompt Patterns, Generative AI, PySpark, Keras (Neural Network Library), Supervised Learning, LLM Application, Generative AI Agents, Vector Databases, Fine-tuning, Machine Learning, Python Programming, Data Science
Build toward a degree
Intermediate · Professional Certificate · 3 - 6 Months