GCP for AI Services

Aim

Program Objectives

Program Structure

1. Introduction to GCP:
   • Fundamentals of Google Cloud Platform, setting up a GCP account, and understanding its core components and pricing.
2. 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.
3. 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.
4. Implementing AI Projects on GCP:
   • Steps for designing AI projects, data collection, training AI models, deploying them efficiently, and monitoring and optimizing their performance.
5. Security and Compliance in GCP:
   • Ensuring security within GCP, using built-in security tools, understanding compliance standards, and implementing data privacy measures.

Who Should Enrol?

Program Outcomes

Fee Structure

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