- AI Workflows
- Prompt Engineering
- Model Deployment
- Cloud Infrastructure
- Machine Learning
- Big Data
- Tensorflow
- Artificial Intelligence
- Google Cloud Platform
- Generative AI
- MLOps (Machine Learning Operations)
- Supervised Learning
Introduction to AI and Machine Learning on Google Cloud
Completed by Mrityunjay Balkrishnan
March 21, 2024
8 hours (approximately)
Mrityunjay Balkrishnan's account is verified. Coursera certifies their successful completion of Introduction to AI and Machine Learning on Google Cloud
What you will learn
Recognize the data-to-AI technologies and tools offered by Google Cloud.
Use generative AI capabilities in applications.
Choose between different options to develop an AI project on Google Cloud.
Build ML models end-to-end by using Vertex AI.
Skills you will gain
