ML2

GCP for AI Services

Harnessing Cloud Power for Advanced AI Solutions

Skills you will gain:

This program 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?

  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.

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