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: Model Optimization, Calculus, Machine Learning Methods, NumPy, Machine Learning Algorithms, Applied Machine Learning, Tensorflow, Python Programming, Derivatives, Development Environment
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Google Cloud Platform, Unstructured Data, Tensorflow, MLOps (Machine Learning Operations), Model Deployment, Applied Machine Learning, Jupyter, Transfer Learning, Model Training, Data Pipelines, Machine Learning, Artificial Intelligence
Intermediate · Course · 1 - 3 Months

SkillUp
Skills you'll gain: Generative AI Agents, Artificial Intelligence and Machine Learning (AI/ML), Jupyter, LLM Application, Generative Model Architectures, AI Integrations, Convolutional Neural Networks, Model Evaluation, Multimodal Prompts, Health Systems, Health Information Management, Data Analysis
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Model Optimization, Deep Learning, Tensorflow, Data Preprocessing, Model Training, Model Evaluation, Test Data, Performance Tuning, Artificial Neural Networks, Applied Machine Learning, Machine Learning, Algorithms, Debugging
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Responsible AI, Prompt Engineering, AI Security, Google Gemini, Gemini, Generative AI, Embeddings, Multimodal Prompts, AI Product Strategy, Model Deployment, Vector Databases, Keras (Neural Network Library), Generative Model Architectures, Cloud Security, Data Ethics, Tensorflow, Image Analysis, Natural Language Processing, Recurrent Neural Networks (RNNs), Machine Learning
Advanced · Specialization · 3 - 6 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Natural Language Processing, Model Optimization, Deep Learning, PyTorch (Machine Learning Library), Large Language Modeling, Fine-tuning, Keras (Neural Network Library), Artificial Neural Networks, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Tensorflow, Artificial Intelligence, Machine Learning Methods, Computer Vision, Model Training
Advanced · Course · 1 - 3 Months

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Data Pipelines, Model Evaluation, Systems Design, Transfer Learning, Data Preprocessing, Data Quality, Feature Engineering, Deep Learning, Python Programming, Data Validation, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Software Engineering, Debugging, Supervised Learning, Git (Version Control System), Performance Metric, Statistical Analysis
Intermediate · Specialization · 1 - 3 Months

Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Model Training, Enterprise Modeling, Google Cloud Platform, AI Workflows, Workflow Management, Model Deployment, Model Optimization, Data Preprocessing, Tensorflow, Data Pipelines, Applied Machine Learning, Data Store, Model Evaluation, Machine Learning, Data Management
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Forecasting, Model Optimization, Predictive Analytics, Data Preprocessing, Statistical Modeling, Model Evaluation, Machine Learning Methods, Data Processing, Feature Engineering, Data Visualization Software
Intermediate · Course · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Evaluation, Model Training, Model Deployment, Model Optimization, Data Preprocessing, Performance Analysis, Machine Learning Methods, Data Pipelines, Analysis, Data Transformation, Technical Writing
Intermediate · Course · 1 - 4 Weeks

Dartmouth College
Skills you'll gain: Bayesian Network, Artificial Neural Networks, Machine Learning Methods, Convolutional Neural Networks, Deep Learning, Tensorflow, Model Training, Model Optimization, Machine Learning, Applied Machine Learning, Bayesian Statistics, Machine Learning Algorithms, Model Evaluation, Network Model, Network Architecture, Algorithms, Probability Distribution
Build toward a degree
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Model Optimization, Artificial Intelligence, Applied Machine Learning, Python Programming, Model Training, Machine Learning Methods, Fine-tuning, Model Evaluation
Intermediate · Course · 1 - 4 Weeks