TensorFlow: Basic to Advanced - 100 Projects in 100 Days

TensorFlow: Basic to Advanced – 100 Projects in 100 Days by School of AI is a comprehensive Udemy course that lets you master TensorFlow from the ground up. Updated July 2026, this free online course covers everything from core concepts to production‑grade deployment, preparing you for real‑world machine‑learning projects. Whether you search for a free TensorFlow course, an Udemy TensorFlow training, or want to learn TensorFlow online, this curriculum delivers practical skills, hands‑on projects, and a certification you can showcase on your résumé.

What You'll Learn

• Build end‑to‑end TensorFlow pipelines, from data ingestion to model serving.
• Master convolutional neural networks (CNNs) for image classification tasks.
• Learn recurrent neural networks (RNNs) to handle sequence and language data.
• Understand the TensorFlow computational graph, tensors, and session management.
• Create custom Keras layers and models for advanced deep‑learning workflows.
• Implement distributed TensorFlow strategies for scaling across multiple GPUs.
• Apply model optimization techniques to improve inference speed on mobile devices.
• Analyze real‑world case studies such as sentiment analysis and time‑series forecasting.

Course Details

• Instructor: School of AI
• Rating: 4.4 stars (based on student reviews)
• Language: English (en‑US)
• Certificate: Yes, upon completion
• Includes: Lifetime access, mobile‑friendly video lectures, downloadable resources

What This Course Covers

Foundations of TensorFlow

• Installation, environment setup, and verification of TensorFlow on various platforms.
• Core concepts: tensors, operations, computational graphs, and sessions.
• Simple data manipulation and basic linear models using low‑level APIs.
• Hands‑on mini‑project: building a regression model from scratch.

Neural Networks with Keras

• Introduction to the Keras API and its integration with TensorFlow.
• Designing, compiling, and training feed‑forward neural networks.
• Hyperparameter tuning and model evaluation techniques.
• Project: creating a digit recognizer with the MNIST dataset.

Convolutional & Recurrent Architectures

• Building CNN layers for image feature extraction and classification.
• Implementing pooling, padding, and dropout to improve model robustness.
• Constructing RNNs and LSTMs for text sentiment analysis and sequence prediction.
• Real‑world project: image classification on CIFAR‑10 and sentiment analysis on IMDB reviews.

Model Deployment & Production

• Saving, loading, and exporting TensorFlow models in SavedModel format.
• Serving models with TensorFlow Serving and REST APIs.
• Deploying optimized models to Android and iOS using TensorFlow Lite.
• Scaling workloads with distributed TensorFlow and TensorFlow Extended (TFX) pipelines.

Advanced Projects & Capstone

• End‑to‑end pipeline for time‑series forecasting with LSTM networks.
• Building a custom object detection model using transfer learning.
• Implementing model quantization and pruning for edge devices.
• Capstone project: integrating all skills to develop a production‑ready AI solution.

Who Should Take This Course

• Aspiring data scientists seeking a solid TensorFlow foundation for ML careers.
• Developers and programmers who want to add deep‑learning capabilities to their skill set.
• Students and professionals in AI, data analytics, or software engineering aiming for TensorFlow certification.
• Self‑learners who enjoy project‑based tutorials and want to build a portfolio of 100 TensorFlow projects.
• Engineers transitioning to machine‑learning roles that require production‑grade model deployment knowledge.

Prerequisites

• Basic programming experience in Python is recommended.
• Familiarity with fundamental machine‑learning concepts helps but is not required.

Why Enroll in This Course

This Udemy training provides a structured path from TensorFlow basics to advanced production techniques, all at no cost thanks to a limited‑time free coupon. The 100‑project framework ensures you practice each concept, making the material stick and preparing you for real‑world challenges. With a 100 % off option available now, you can start mastering TensorFlow before the offer expires later this month.

Course Highlights

• Lifetime access to all video lessons and downloadable assets.
• Self‑paced learning lets you progress according to your schedule.
• Certificate of completion that validates your TensorFlow expertise.
• Mobile‑friendly design enables learning on smartphones and tablets.
• Hands‑on projects covering image, text, and time‑series domains.
• Production focus with deployment to cloud, edge, and mobile environments.

Frequently Asked Questions

Q: Is this course really free?
A: Yes, the course is offered at no charge while the free coupon remains active. You can enroll without payment and access all content instantly.

Q: What will I learn in this TensorFlow course?
A: You will learn core TensorFlow concepts, build CNN and RNN models, master Keras, deploy models to production, and complete 100 practical projects that showcase your skills.

Q: Do I get a certificate after completing this course?
A: A Udemy‑issued certificate of completion is awarded once you finish all lectures and assignments, which you can share on LinkedIn or your résumé.

Q: Is this course suitable for beginners?
A: Absolutely. The curriculum starts with basic installation and tensor operations, gradually progressing to advanced topics, making it ideal for beginners and intermediate learners alike.

Q: How long do I have to enroll for free?
A: The free coupon is available for a limited time, typically a few weeks. Enroll now to guarantee 100 % off before the promotion ends.

Final Thoughts

TensorFlow: Basic to Advanced – 100 Projects in 100 Days equips beginners and seasoned developers alike with the practical expertise needed to excel in machine learning. Grab the free Udemy enrollment today and start building real‑world TensorFlow solutions tomorrow.