TensorFlow Courses and Certifications

Custom Models, Layers, and Loss Functions with TensorFlow

1110 ratings at Coursera

Build custom TensorFlow models: multi-output and Siamese networks with the Functional API, contrastive loss, lambda and custom layers, a subclassed ResNet, and custom callbacks.

• Coursera
• 5 weeks, 6 hours a week
• Self-Paced
• Paid Course

Career Certificate

TensorFlow 2 for Deep Learning

722 ratings at Coursera

Build, train and customise deep learning models in TensorFlow 2: regularisation, callbacks, lower-level APIs, custom layers, sequence models, and probabilistic models with TensorFlow Probability.

• Coursera
• 12 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 3 courses

Getting started with TensorFlow 2

582 ratings at Coursera

Build, train and evaluate deep learning models with the TensorFlow 2 Keras Sequential API, adding validation, regularisation, callbacks and model saving, then create an image classifier.

• Coursera
• 5 weeks, 5 hours a week
• Self-Paced
• Paid Course

Custom and Distributed Training with TensorFlow

439 ratings at Coursera

Build custom training loops with GradientTape and TensorFlow Datasets, generate graph-mode code automatically, and run distributed training across multiple GPU and TPU cores.

• Coursera
• 4 weeks, 6 hours a week
• Self-Paced
• Paid Course

Customising your models with TensorFlow 2

196 ratings at Coursera

Build customised deep learning models with the Keras functional API, tf.data pipelines, RNN sequence models and custom training loops, then a neural translation model.

• Coursera
• 5 weeks, 5 hours a week
• Self-Paced
• Paid Course

A Complete Guide on TensorFlow 2.0 using Keras API

2007 ratings at Udemy

Build Amazing Applications of Deep Learning and Artificial Intelligence in TensorFlow 2.0

• Udemy
• 13 hours 6 minutes
• Self-Paced
• Paid Course

Learning TensorFlow: the Hello World of Machine Learning

20 ratings at Coursera

Build the "Hello World" of machine learning in TensorFlow: train a model on data to infer the numeric relationship instead of coding explicit rules.

• Coursera
• 40 minutes
• Self-Paced
• Paid Course

Coursera

TensorFlow for Beginners: Basic Binary Image Classification

Build a convolutional neural network in TensorFlow to classify cat and dog images, tuning learning rate, batch size and epochs with data augmentation and dropout.

• Coursera
• 3 hours 12 minutes
• Self-Paced
• Paid Course

Predict Baby Weight with TensorFlow on AI Platform

In this lab you train, evaluate, and deploy a machine learning model to predict a baby’s weight. You then send requests to the model to make online predictions. This lab is part of a series of labs on processing scientific data.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Coursera

TensorFlow Prediction: Identify Penguin Species

Build a penguin species classifier with TensorFlow Decision Forests: clean and preprocess data, select features, analyze feature importance, and evaluate the model with performance metrics.

• Coursera
• 1 hour 33 minutes
• Self-Paced
• Paid Course

EDUCBA

TensorFlow: Build & Deploy Face Mask Detection

Learn TensorFlow basics — installation, data types, variables, sessions, linear models — then build, train, save and deploy a face mask detection app with Keras and pretrained models.

• Coursera
• 2 weeks, 3 hours a week
• Self-Paced
• Paid Course

Coursera

Build & Optimize TensorFlow ML Workflows

Build an end-to-end TensorFlow 2.x pipeline with tf.data, Keras and custom training loops, then optimize models via TensorFlow Lite post-training quantization and latency benchmarking for edge deployment.

• Coursera
• 2 hours 19 minutes
• Self-Paced
• Paid Course

Coursera

Building Vision and NLP Workflows with TensorFlow pipelines

Build computer vision and NLP pipelines with TensorFlow, Keras and transformers: tokenization, embeddings, ROUGE evaluation, tf.data workflows, and TensorFlow Lite quantization for deployment.

• Coursera
• 7 weeks, 1 hour a week
• Self-Paced
• Paid Course

TensorFlow 2.0 Complete Course - Python Neural Networks for Beginners Tutorial

2 ratings

Learn TensorFlow 2.0 with Python through machine learning fundamentals, neural networks, CNN-based vision, RNN-based NLP, and Q-learning.

• freeCodeCamp
• 7 hours
• Self-Paced
• Free Video

TensorFlow for Computer Vision - Full Tutorial for Beginners

Build image classifiers with TensorFlow 2: set up VS Code and Miniconda, explore MNIST, write sequential, functional and Model-class networks, add generators, callbacks and predictions.

• freeCodeCamp
• 4-5 hours
• Self-Paced
• Free Video