Google Cloud Platform (GCP) for AI Services and Computing Power
Harnessing Cloud Power for Advanced AI Solutions
Skills you will gain:
This course offers a deep dive into using Google Cloud Platform to leverage cloud computing for artificial intelligence, covering from basic setup to advanced machine learning implementations and secure cloud operations.
Aim: To provide learners with comprehensive insights into utilizing Google Cloud Platform for deploying powerful AI and machine learning solutions effectively and efficiently.
Program Objectives:
- Understand the infrastructure and capabilities of GCP.
- Apply AI and ML services effectively within the Google Cloud environment.
- Develop, deploy, and manage AI solutions using GCP’s powerful computing resources.
What you will learn?
- Introduction to GCP:
- Fundamentals of Google Cloud Platform, setting up a GCP account, and understanding its core components and pricing.
- AI and Machine Learning on GCP:
- Exploration of GCP’s AI and ML services, setting up AI environments, managing and deploying ML models, and utilizing GCP data solutions for machine learning.
- Computing Power in GCP:
- Managing computing resources, using Compute Engine, Kubernetes Engine for scalable deployments, and other computing solutions like App Engine and Cloud Functions.
- Implementing AI Projects on GCP:
- Steps for designing AI projects, data collection, training AI models, deploying them efficiently, and monitoring and optimizing their performance.
- Security and Compliance in GCP:
- Ensuring security within GCP, using built-in security tools, understanding compliance standards, and implementing data privacy measures.
Intended For :
- Students and professionals in IT, Computer Science, and related fields who are interested in cloud computing and artificial intelligence.
- Individuals seeking to enhance their technical skillset with cloud-based AI solutions.
Career Supporting Skills
