GCP for AI Services

Home >Courses >GCP for AI Services

Mentor Based

Program Syllabus

Module 1

About This Course

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.

Module 2

Aim

To provide learners with comprehensive insights into utilizing Google Cloud Platform for deploying powerful AI and machine learning solutions effectively and efficiently.

Module 3

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.

Module 4

Program Structure

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.

Lead Instructor

Dr. Sarah Chen

PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.