Course Description

The "AI on Google Cloud Platform" course is designed to provide learners with the skills and knowledge needed to build and deploy artificial intelligence (AI) models on the Google Cloud Platform (GCP). The course begins by introducing learners to GCP and its various AI services, including Vision API, Speech API, Natural Language API, and AutoML. Learners will also learn about the underlying technologies that power these services, such as deep learning, machine learning, and natural language processing. The course then dives deeper into the process of building and deploying AI models on GCP. Learners will learn how to preprocess data, train models using GCP's powerful AI tools, and evaluate model performance. They will also learn how to deploy models on GCP using different deployment options, such as App Engine, Kubernetes, and Cloud Functions. In addition to building and deploying AI models, learners will also learn how to use GCP's AI services to enhance existing applications. They will learn how to integrate Vision API, Speech API, and Natural Language API into their applications to add powerful AI capabilities, such as image recognition, speech-to-text, and sentiment analysis. Throughout the course, learners will work on hands-on labs and projects that simulate real-world AI scenarios. These labs and projects will provide learners with practical experience in building and deploying AI models on GCP. At the end of the course, learners will have gained a solid understanding of GCP's AI services, and the skills needed to build and deploy AI models on GCP. They will also be able to integrate GCP's AI services into their existing applications, making them more powerful and capable. The "AI on Google Cloud Platform" course is ideal for data scientists, machine learning engineers, software developers, and anyone who wants to learn how to build and deploy AI models on GCP. Whether you are a beginner or an experienced AI practitioner, this course will provide you with the knowledge and skills needed to succeed in the exciting field of AI on the cloud. Author: Srivatsan Srinivasan @ AIEngineering (YouTube)