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.
Prerequisites
- Basic Machine Learning Concepts
- Python Programming
- SQL Fundamentals
- Data Analysis Fundamentals
- Cloud Computing Fundamentals
- Statistics Fundamentals
- Google Cloud Platform (GCP) Basics
- TensorFlow Fundamentals
- Artificial Intelligence Fundamentals
- Generative AI Fundamentals
What Will You Learn
- AI and Machine Learning Fundamentals
- Google Cloud AI Services
- Generative AI Concepts
- Prompt Engineering Techniques
- Foundation Models
- AI Agent Development
- Vertex AI Fundamentals
- AutoML Solutions
- Pre-trained AI APIs
- Machine Learning Workflows
- Model Deployment and Serving
- MLOps Fundamentals
Who Should Do This Course
- Data Scientists
- Data Analysts
- Data Engineers
- Machine Learning Engineers
- AI Engineers
- Software Developers
- Cloud Engineers
- Cloud Architects
- MLOps Engineers
- Product Managers
- Technical Leads
- AI Professionals
Tools and Technologies Covered
- Vertex AI
- Vertex AI Studio
- Vertex AI Agent Builder
- AutoML
- Gemini Models
- Model Garden
- BigQuery ML
- Cloud Natural Language API
- Cloud Translation API
- Dialogflow
- Vision AI API
- Video Intelligence API
- TensorFlow
- Python
- SQL
- Google Cloud Platform (GCP)
