What you'll learn
- Learn how to build, train, and evaluate deep learning models using Keras with real datasets and hands-on Python coding exercises.
- Master the process of building and training neural networks with Keras, using Python and practical examples to solve real AI problems.
- Discover how to design, train, and fine-tune deep learning models using Keras through step-by-step coding practice and real-world projects.
- Gain the skills to build and train powerful deep learning models using Keras with Python—perfect for real projects, AI tasks, and research.
- Build and train deep learning models with Keras using Python, covering everything from architecture design to optimization and evaluation.
Requirements
- Basic knowledge of Python programming.
- Fundamental understanding of machine learning concepts is helpful but not required.
Description
Master Deep Learning the Smart Way – Build AI Models with Ease Using Keras and Python
Welcome to Python Keras Programming with Coding Exercises, your hands-on journey into the world of deep learning and AI development. Whether you're a curious beginner or a Python enthusiast aiming to upgrade your skills, this course is your ultimate roadmap to mastering neural networks using the Keras library.
Take action, write code, and learn fast—this course is built around practical exercises that make Keras click.
Keras is a powerful, high-level deep learning API that works seamlessly with TensorFlow. It allows you to design and train deep learning models with just a few lines of code — making it the perfect tool for fast, flexible, and practical AI development.
Don’t just watch others build AI—learn to do it yourself with Python and Keras!
Course Features
HD video lessons with real coding walkthroughs
Hands-on coding exercises for every topic
Practical articles and downloadable resources
Real-world datasets and assignments
Lifetime Q&A support and discussion access
Certificate of Completion to boost your credentials
Regular updates to keep your knowledge fresh
No degree required—just your passion, curiosity, and code.
Why This Course is a Must-Take
Learn Deep Learning from Scratch – No overwhelming theory! Just clear explanations and real coding.
AI in Action – Apply your skills to real-world problems like image recognition and sentiment analysis.
Build While You Learn – Every topic includes interactive coding exercises to sharpen your skills.
Career-Ready Skills – Deep learning is powering industries. Equip yourself for the future of AI and data science.
Get Expert Help – Ask questions anytime and get support from instructor Faisal Zamir.
Perfect for Bootcamps, Projects, and Portfolios
Boost your career, enhance your skills, and create intelligent solutions—your journey starts here.
What You Will Learn
Set up the Keras environment with Python and understand how deep learning fits into modern AI systems.
Learn neural network basics — layers, activation functions, loss, optimizers, and model architecture.
Build and train key model types: Feedforward, CNNs, and RNNs, all with practical Python examples.
Evaluate, tune, and optimize models using techniques like dropout, callbacks, and validation strategies.
Work with real datasets to create AI applications for classification, prediction, and sequence modeling.
Explore advanced concepts like transfer learning, fine-tuning, and creating custom layers in Keras.
Take control of your Python skills and turn them into real-world AI applications—join the course now!
Who this course is for:
- Data scientists and machine learning practitioners looking to enhance their deep learning skills.
- Python developers interested in learning how to implement neural networks using Keras.
- Individuals aiming to build and deploy deep learning models for real-world applications.
Instructors
- 4.3 Instructor Rating
- 572 Reviews
- 75,047 Students
- 85 Courses
Welcome to Python Artificial Intelligence Machine Learning Quiz Maker ?
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- 4.3 Instructor Rating
- 451 Reviews
- 48,941 Students
- 70 Courses
Hi, I’m Mr Khan, an experienced Python programming instructor with a passion for teaching students of all levels, from absolute beginners to advanced learners. My goal is to make complex programming concepts easy to understand and accessible for everyone, no matter where you’re starting from.
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