Welcome to my repository showcasing notebooks and projects from the IBM AI Engineering Professional Certificate course on Coursera! 🚀
This repository contains my notebooks and projects from the IBM AI Engineering Professional Certificate course on Coursera. I gained hands-on experience with key AI concepts and tools. Check out the course here⬇️
IBM AI Engineering Professional Certificate
This comprehensive course equipped me with hands-on experience in key AI engineering concepts and tools, including:
- Machine learning model development and deployment 🤖
- Deep learning techniques for image and text processing 🖼️
- Building AI-powered applications using Python and popular libraries 🐍
- MLOps practices for scalable and reliable AI systems ⚙️
Throughout this course, I learned how to:
- Build, train, and evaluate various machine learning and deep learning models.
- Leverage frameworks like TensorFlow and PyTorch for deep learning model deployment.
- Develop AI applications to solve real-world problems.
- Implement MLOps practices for effective AI model lifecycle management.
In this repository, you'll find Jupyter notebooks containing my exercises, projects, and experiments from the course. Each notebook focuses on a specific topic and provides examples of how to apply various AI techniques.
Feel free to use this repository as a reference or inspiration for your own AI projects. You are welcome to clone, modify, and share these notebooks.
Let me know if you have any questions or feedback! 😊
