Machine Learning Frameworks Courses and Certifications

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

Orchestrating a TFX Pipeline with Airflow

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you'll learn to create your own machine learning pipelines using TensorFlow Extended (TFX) and Apache Airflow as the orchestrator.

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

Packt

AI Engineering and Deployment

Build machine learning models with TensorFlow — CNNs, RNNs and transfer learning — then deploy them via TensorFlow Serving, TensorFlow Lite and Kubernetes, and design AI agents.

• Coursera
• 3 weeks, 3 hours a week
• 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

Edureka

Applied Machine Learning Without Coding

Build, evaluate, and tune regression and classification models in Orange Data Mining without writing code: linear regression, SVMs, Random Forests, decision trees, RMSE, ROC curves.

• Coursera
• 4 weeks, 2 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

Coursera

ML Concepts, Models & Workflow Essentials

Build machine learning systems in Java: implement classification, regression, clustering, and neural networks with Weka, Deeplearning4j, and Smile, then deploy models using MLOps workflows.

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

EDUCBA

Build Machine Learning Models and Neural Networks

Follow a hands-on path from feature engineering and custom preprocessing to TensorFlow regression and a neural network recognizing handwritten digits with MNIST.

• Coursera
• 2 weeks, 4 hours 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

USENIX Enigma Conference

Trustworthy Machine Learning: Challenges and Frameworks

A framework for trustworthy machine learning traces training-data influence to expose poisoning, adversarial examples, privacy leaks, and model behavior.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

OpenFabrics Alliance

Designing Networking Stacks for Machine Learning Frameworks

Dive into networking stack design for machine learning frameworks, exploring challenges, solutions, and real-world applications through NCCL case studies and prototype implementations.

• YouTube
• 41 minutes
• 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