4 hrs
Deep learning is transforming how machines understand patterns in data—from fraud detection to medical imaging to personalized recommendations. This Kaggle course teaches you to build and train neural networks using TensorFlow and Keras, two of the most trusted frameworks in the industry. You'll move beyond theory into hands-on coding, learning how to structure data, design networks, and solve real problems with the same tools used by engineers at top tech companies.
If you've got Python basics down and want to level up into machine learning, this course is your next step. You'll benefit most if you're curious about how AI actually works under the hood—not just using pre-built tools, but building your own.
You should be comfortable with Python (loops, functions, libraries like NumPy and Pandas). Basic knowledge of math concepts like algebra and derivatives helps, but the course explains key ideas as you go. No deep learning experience needed.
India's AI and data science job market is booming. Companies like TCS, Infosys, Flipkart, and startups across Bangalore, Pune, and Delhi are actively hiring ML engineers—and deep learning skills command higher salaries. This course gives you concrete, portfolio-ready knowledge that directly applies to roles in computer vision, NLP, and predictive analytics, sectors where Indian companies are investing heavily.
Yes, completely free. Kaggle offers this course at no cost, and you get full access to all lessons and datasets without paying anything.
The course is designed for about 4 hours of active learning. You could spread this over 2 weeks at a comfortable pace (2 hours per week), or tackle it in a single focused weekend if you prefer to dive deep.
Yes. Kaggle provides a certificate of completion when you finish all lessons and hands-on exercises, which you can add to your LinkedIn or portfolio to show employers you've mastered these skills.