Google Cloud AI Course provides a practical introduction to building and managing artificial intelligence solutions on Google Cloud Platform (GCP). The course covers machine learning fundamentals, Generative AI, Vertex AI, Gemini models, AutoML, BigQuery ML, AI agents, and MLOps workflows. Through hands-on learning, you will explore how to develop, deploy, monitor, and scale AI applications using Google Cloud's managed services and tools. This training is ideal for professionals seeking to apply AI technologies in real-world business and technical environments while building expertise in the Google Cloud AI ecosystem.
Upon successful completion of the Google Cloud AI Course, learners receive a Course Completion Certificate from igmGuru. This certificate recognizes your understanding of Google Cloud AI services, Vertex AI, Gemini models, AutoML, BigQuery ML, AI agents, machine learning workflows, and MLOps practices. It serves as evidence of the knowledge and practical skills gained in developing, deploying, and managing AI solutions on Google Cloud Platform.
Vertex AI is Google Cloud's enterprise-grade platform for building, deploying, and scaling ML models in production environments. Google AI Studio is a browser-based tool for prototyping with Gemini models. This course focuses primarily on Vertex AI for production-ready AI development, while also covering Gemini API integration.
This course is designed for professionals with basic Python, SQL, and cloud computing knowledge. Complete beginners may find it challenging, but learners with foundational data or cloud skills can follow the structured 12-lesson curriculum effectively.
Yes. Lesson 5 is dedicated to Gemini model capabilities, multimodal AI applications, and Gemini API integration. Vertex AI Studio in Lesson 6 also covers prompt design using Gemini.
BigQuery ML lets you build and run machine learning models directly using SQL queries inside BigQuery, without moving data to a separate ML platform. Vertex AI is a full-featured ML platform for custom model training, deployment, and monitoring. Both are covered in this course.
Graduates of this course are prepared for roles including ML Engineer, AI Engineer, Data Scientist, Cloud AI Architect, and MLOps Engineer. Companies actively hiring for Google Cloud AI skills include TCS, Infosys, Accenture, Wipro, and product-first AI startups.
