- Machine Learning
- MLOps (Machine Learning Operations)
- Model Deployment
- AI Orchestration
- Network Infrastructure
- Large Language Modeling
- Computer Architecture
- Artificial Intelligence
- Cloud Computing
- Hardware Architecture
- Generative AI
- Data Infrastructure
AI Infrastructure and Operations Fundamentals
Completed by Anand Giri Natesan
December 16, 2024
12 hours (approximately)
Anand Giri Natesan's account is verified. Coursera certifies their successful completion of AI Infrastructure and Operations Fundamentals
What you will learn
Explore diverse applications of AI across various industries. Understand concepts like Machine Learning, Deep Leaning, training and inference.
Trace the evolution of AI Technologies. From its inception to the revolutionary advances brought by Generative AI, and the role of GPUs.
You will become familiar with deep learning frameworks and AI software stack.
Learn about considerations when deploying AI workloads on a data center on prem, in the cloud, on a hybrid model, or on a multi-cloud environment.
Skills you will gain
