A diversity of people and ideas. coupled with free and open discourse, lays the foundation
Training & Certification Program
Google Cloud Career LaunchPad
From
Google Cloud
Duration
100hrs / 50hrs
Targeted Audience
3rd Year & 4th Year
Prerequisites
Learners should be familiar with foundational cloud infrastructure concepts, skills, and tools, including a basic understanding of operating and file systems, the IP networking stack, how web browsers and servers communicate, databases, programming, and Linux.
Learning Outcomes
Track 1 Course Objectives
LO's-1
Deploy solutions using Google Cloud Marketplace for rapid provisioning.
LO's-2
Choose and implement appropriate storage options: Cloud Storage, Cloud SQL, Cloud Bigtable, and Firestore.
LO's-3
Monitor resources efficiently using Google Cloud's operations suite for proactive issue identification and resolution.
LO's-4
Automate the deployment of Google Cloud infrastructure services using tools like Cloud Deployment Manager.
LO's-5
Leverage managed services like Cloud Functions and Vertex AI to streamline application development and machine learning deployments.
LO's-5
Explain how pod networking works within Google Kubernetes Engine (GKE) for container communication.
Track 2 Course Objectives
LO's-1
Understand what generative AI is, how it is used, and how it differs from traditional machine learning methods.
LO's-2
Understand what large language models (LLMs) are and how you can use prompt tuning to enhance LLM performance.
LO's-3
Practice prompt engineering, image analysis, and multimodal generative techniques within Vertex AI.
LO's-4
Understand how Gemini helps various types of developers and engineers to explain and generate code, analyze data, create and maintain networks, develop applications, and more.
LO's-5
Understand how Generative AI Studio customizes generative AI models for use in your applications.
LO's-6
Create an image captioning model by using deep learning.
