- Artificial Intelligence and Machine Learning (AI/ML)
- Prompt Engineering
- OpenAI
- Tensorflow
- MLOps (Machine Learning Operations)
- Generative AI
- Generative AI Agents
- Google Cloud Platform
- Cloud Infrastructure
- AI Product Strategy
- Applied Machine Learning
- Big Data
Introduction to AI and Machine Learning on Google Cloud
Completed by Rajani Anil Sonawane
May 27, 2024
8 hours (approximately)
Rajani Anil Sonawane'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
