Course description
This course provides a comprehensive guide to deploying AI models in real-world production settings. You will explore different deployment strategies, infrastructure choices, model monitoring, and scaling techniques to ensure smooth AI operations.
What will i learn?
- Deploy AI models efficiently in production environments
- Monitor and optimize AI models post-deployment
- Understand different infrastructure options for AI applications
- Scale AI models for high-performance applications
Requirements
- Basic knowledge of machine learning and deep learning
- Familiarity with Python and AI frameworks (TensorFlow/PyTorch)
- Understanding of cloud platforms (AWS, GCP, or Azure)
Frequently asked question
Data scientists, ML engineers, and developers looking to deploy AI models in production.
Yes, basic knowledge of machine learning and deep learning is recommended.
Best practices for AI deployment, model monitoring, and scalability techniques.
