About the Course:

This comprehensive 3-hour training session introduces participants to the foundational data processing, machine learning, and AI tasks in Google Cloud. We will explore essential tools such as BigQuery, Cloud Storage, Vertex AI, and AutoML to build and deploy intelligent solutions. Whether you're new to cloud technologies or looking to enhance your skills, this training will provide hands-on learning to navigate and leverage Google Cloud's powerful data, ML, and AI capabilities.

Course Objective:

• Understand the core data storage and processing tools in Google Cloud (e.g., BigQuery, Cloud Storage).
• Learn the foundational concepts and workflows in Machine Learning (ML) using Google Cloud.
• Get hands-on experience with AutoML and Vertex AI to build, train, and deploy models.
• Understand how to set up and manage AI pipelines, from data collection to model deployment.
• Explore how Google Cloud integrates with existing data engineering and ML workflows.

Who is the Target Audience?

• Data Engineers and Analysts
• Machine Learning Engineers
• AI/ML Enthusiasts
• Developers and IT professionals looking to explore cloud-based AI solutions
• Anyone interested in building or deploying ML models on Google Cloud

Basic Knowledge:

• Familiarity with basic data concepts and storage.
• Basic understanding of Machine Learning (ML) principles (e.g., supervised vs. unsupervised learning).
• Basic experience with cloud computing (ideal but not required).
• No prior experience with Google Cloud is necessary.