What will I learn in this TensorFlow 2.0 complete course?

You will learn how to use TensorFlow 2.0 with Python to build, train, and evaluate neural network models.

Does the TensorFlow course cover building neural networks with Python?

Yes. The course focuses on creating Python-based neural networks using TensorFlow 2.0 and its high-level APIs.

What TensorFlow version is used in the neural networks tutorial?

The tutorial is based on TensorFlow 2.0, covering its core workflow for machine learning and neural network development.

Free Course Image TensorFlow complete course

Free online course TensorFlow complete course

Duration of the online course: 6 hours and 52 minutes

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Build real neural networks with this free TensorFlow course—learn Python workflows, train models fast, and boost your ML skills with a shareable certificate.

In this free course, learn about

TensorFlow 2.0 basics: tensors, ops, eager execution, and core APIs
Build neural networks in Python with Keras (Sequential/Functional models)
Prepare data pipelines: loading, batching, shuffling, and normalization
Train models: loss functions, optimizers, metrics, epochs, and validation
Handle overfitting: regularization, dropout, early stopping, and callbacks
Tune hyperparameters: learning rate, batch size, model depth/width
Evaluate performance: test sets, confusion matrix basics, and error analysis
Save/load models: checkpoints, SavedModel format, and inference workflow
Use TensorBoard to visualize training curves and model graphs
Apply basic deep learning architectures for classification/regression tasks

About the free online course

Learn how to turn ideas into working machine learning models using TensorFlow 2.0 and Python, one of the most widely used toolsets in modern Artificial Intelligence. This free online course is designed for beginners who want a practical, confidence-building path into neural networks without getting lost in theory. You will understand how data becomes input for a model, how training works, and how to evaluate results so you can make smarter improvements.

Instead of only explaining concepts, the course focuses on building intuition through hands-on practice. You will get comfortable with the end-to-end workflow: preparing data, defining model architectures, training efficiently, tracking performance, and troubleshooting common issues. By the end, you should be able to read TensorFlow code with clarity and create your own models for real scenarios, from simple predictions to more advanced deep learning tasks.

This learning experience fits well whether you are a student aiming to strengthen your portfolio, a developer adding AI capabilities to your toolkit, or a professional exploring the career opportunities opened by machine learning. TensorFlow skills are in demand across tech, product, data, and research teams, and learning the framework can help you speak the same language as AI practitioners and collaborate more effectively.

Because it is online and free, you can learn at your own pace and revisit key parts whenever you need a refresher. If a certificate is available on completion, it can be a useful way to document your progress and show commitment to continuous learning. Start building with TensorFlow and move from curiosity to capability with a guided, beginner-friendly approach.

Course content

Video class: TensorFlow 2.0 Complete Course - Python Neural Networks for Beginners Tutorial 6h52m

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Explore the best free online Deep Learning courses and build practical skills in neural networks, CNNs, RNNs, transformers, computer vision, and AI. Learn at your own pace with expert-led lessons, hands-on projects, and real-world examples. Every course is free and includes a certificate to help you advance your career in machine learning and artificial intelligence.

Learn aboutTensorFlow

Explore free online TensorFlow courses designed to help beginners and professionals build practical machine learning and deep learning skills. Learn neural networks, model training, computer vision, and AI development at your own pace. Enroll today, study online for free, and earn a certificate to showcase your TensorFlow expertise.