Vertex AI Crash Course
Data Science & AI › MLOps

Vertex AI Crash Course

A practical, project-based path to Vertex AI in MLOps

By Harsh Vardhan ★ 0.0 (0 ratings) Intermediate English 0 learners

What you'll learn

  • Understand the core concepts of Vertex AI and how they fit together
  • Build hands-on projects using Vertex AI that you can add to your portfolio
  • Apply Vertex AI to solve real, practical problems in Data Science & AI
  • Follow industry best practices and avoid common Vertex AI mistakes
  • Gain the confidence to use Vertex AI at work and in interviews

Skills you'll gain

Vertex AI Practical Projects Debugging Best Practices Problem Solving MLOps

About this course

Vertex AI is one of the most useful skills in Data Science & AI today, and this course makes it approachable and practical. Through guided projects in MLOps, you'll build real understanding rather than memorising steps. Created by Harsh Vardhan, the course pairs clear explanations with hands-on practice so the ideas stick. You'll come away able to apply Vertex AI to your own work and on job-relevant, Hyrespot-matched roles.

Curriculum

Getting Started

  • Welcome and what you'll build video · 07:00 ▶ Free preview
  • Vertex AI in 10 minutes video · 08:00 ▶ Free preview
  • Your first Vertex AI walkthrough video · 09:00
  • Hands-on exercise video · 10:00

Core Concepts

  • Common patterns in practice video · 14:00
  • Building the project — part 1 video · 15:00
  • Debugging and troubleshooting video · 16:00
  • Performance and optimisation video · 17:00
  • Testing your work video · 06:00

Hands-On Practice

  • Performance and optimisation video · 09:00
  • Testing your work video · 10:00
  • Welcome and what you'll build video · 11:00

Building Real Projects

  • Welcome and what you'll build video · 16:00
  • Vertex AI in 10 minutes video · 17:00
  • Your first Vertex AI walkthrough video · 06:00
  • Hands-on exercise video · 07:00

Going Deeper

  • Common patterns in practice video · 11:00
  • Building the project — part 1 video · 12:00
  • Debugging and troubleshooting video · 13:00
  • Performance and optimisation video · 14:00
  • Testing your work video · 15:00