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: Deep Learning, Tensorflow, Keras (Neural Network Library), Matplotlib, NumPy, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Pandas (Python Package), Machine Learning Methods, Data Science, Artificial Intelligence, Model Optimization, Data Preprocessing, Model Training, Machine Learning, Network Model, Data Manipulation, Model Evaluation
Beginner · Course · 3 - 6 Months

Skills you'll gain: Embeddings, Natural Language Processing, Keras (Neural Network Library), Generative AI, Generative Model Architectures, Artificial Neural Networks, Data Preprocessing, Text Mining, Model Evaluation, Tensorflow, Model Training
Mixed · Course · 1 - 4 Weeks

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

Skills you'll gain: Model Deployment, Tensorflow, Generative AI Agents, Recurrent Neural Networks (RNNs), BeeAI, Transfer Learning, Deep Learning, Convolutional Neural Networks, AI Orchestration, Application Deployment, Artificial Neural Networks, Responsible AI, Agentic Workflows, Agentic systems, Data Ethics, Model Training, Scalability, Model Optimization, Applied Machine Learning, Machine Learning
Advanced · Course · 1 - 4 Weeks

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

Skills you'll gain: Convolutional Neural Networks, Model Optimization, Model Evaluation, Keras (Neural Network Library), Image Analysis, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Computer Vision, Model Training, Dimensionality Reduction, PyTorch (Machine Learning Library), Tensorflow, Machine Learning Methods, Performance Tuning, Artificial Intelligence, Bayesian Statistics
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Hugging Face, Deep Learning, Large Language Modeling, Transfer Learning, Convolutional Neural Networks, Artificial Neural Networks, Encryption, Python Programming, Cryptography, Fine-tuning, Machine Learning Methods, Text Mining, Classification Algorithms, Applied Machine Learning, Probability Distribution, Machine Learning Algorithms, Model Training
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, Model Optimization, Model Deployment, MLOps (Machine Learning Operations), Transfer Learning, Image Quality, Model Training, Image Analysis, Analysis, Computer Vision, Tensorflow, Data Quality, Failure Analysis, Data Pipelines, Deep Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Performance Analysis, Docker (Software), Python Programming
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: AI Integrations, AI Product Strategy, Business Leadership, Digital Transformation, Strategic Leadership, Business Strategy, Google Cloud Platform, Technology Strategies, Artificial Intelligence, Responsible AI, Culture Transformation, Return On Investment, ChatGPT, Case Studies, Generative AI, Data-Driven Decision-Making, Emerging Technologies, Automation, Risk Management, Machine Learning
Intermediate · Course · 1 - 3 Months

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

Skills you'll gain: Apache Spark, Large Language Modeling, Applied Machine Learning, Model Training
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Fine-tuning, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Tensorflow, Predictive Modeling, Model Optimization, Model Training, Interactive Data Visualization, Time Series Analysis and Forecasting, Model Evaluation
Advanced · Course · 1 - 3 Months