This repository serves as a structured space to document my journey through the AI Engineer Professional Certificate offered by Coursera. The program consists of 13 courses, covering fundamental and advanced topics in artificial intelligence, machine learning, deep learning, and MLOps.
The main objective of this repository is to store course materials, assignments, code implementations, and projects, ensuring an organized and accessible knowledge base for future reference.
Each course folder will contain:
- Lecture Notes & Summaries 📝
- Jupyter Notebooks & Code Implementations 💻
- Assignments & Hands-on Projects 📊
- Additional Resources & References 📚
- Develop a comprehensive understanding of AI and ML fundamentals.
- Work with real-world AI applications such as NLP, computer vision, and deep learning.
- Learn best practices in MLOps and model deployment.
- Explore ethical considerations in AI development.
- Build hands-on projects applying AI models in practical scenarios.
This repository will be continuously updated as I progress through the program. New materials, insights, and projects will be added to enhance learning and application.