Deep Learning with TensorFlow 2 and Keras

About this course

Deep Learning with TensorFlow 2 and Keras is an 11-hour intensive course from freeCodeCamp that takes you through the fundamentals and practical applications of deep learning using industry-standard tools. Created by experts at one of the web's most trusted free learning platforms, this course bridges the gap between theory and real-world neural network development.

What you'll learn

• Core concepts of neural networks, including layers, activation functions, and backpropagation
• How to build, train, and evaluate deep learning models using TensorFlow 2 and the Keras API
• Practical techniques for handling image data, including convolutional neural networks (CNNs)
• Methods for processing sequential data with recurrent neural networks (RNNs) and LSTMs
• How to debug, optimize, and deploy neural network models for real applications
• Best practices for avoiding overfitting and improving model performance
• End-to-end workflows from data preparation to model evaluation

Who this is for

This course is designed for learners who already have some programming experience and want to move beyond machine learning basics into the deep learning domain. If you're curious about AI but have been intimidated by its complexity, this course makes it accessible.

• Software engineers — add deep learning to your toolkit and explore AI-driven product development
• Data scientists — level up from traditional ML to neural networks and modern architectures
• Career changers — build a credible foundation in AI to transition into high-demand technical roles

Prerequisites

You'll need solid Python fundamentals and comfort with NumPy and basic data manipulation. A grasp of linear algebra (vectors, matrices) and calculus (derivatives) will help you understand the math, but the course explains concepts intuitively. If you're rusty on Python, review the basics before starting.

Why this matters for Indian learners

Deep learning skills are in urgent demand across India's tech sector. Companies like Google, Microsoft, and Amazon have significant R&D hubs in Bangalore, Hyderabad, and Delhi, actively hiring deep learning engineers and ML researchers. Even at earlier-stage startups in fintech, edtech, and e-commerce, deep learning engineers command salaries 40–60% higher than general software engineers.

Whether you're aiming for a role in a Tier-1 tech company or building your own AI product, TensorFlow proficiency is a practical, portfolio-building skill that opens doors. This course gives you the hands-on foundation to talk credibly about neural networks in interviews and technical discussions.

Frequently asked questions

Is this course really free?

Yes, completely free. freeCodeCamp's mission is to make learning accessible to everyone, and there are no hidden paywalls or premium features.

How long will it take to complete?

The course is 11 hours of video content. Most learners complete it in 3–4 weeks if they dedicate 3 hours a week, though it's perfectly fine to move at your own pace. Pause, rewind, and code along with the instructor.

Will I get a certificate?

This course doesn't offer an official certificate of completion. However, the best proof of learning is building projects with what you've learned—build a model, share it on GitHub, and use that as your portfolio piece when applying for roles.