Introduction to AI and Machine Learning on Google Cloud

Course Prerequisites

• Basic understanding of cloud computing and its core concepts.
• Familiarity with data science and statistics (helpful but not required).
• Basic knowledge of programming languages like Python (optional but beneficial for hands-on labs).
• No prior experience with AI or machine learning is required; this course is designed for beginners.

Learning Objectives

By the end of the Introduction to AI and Machine Learning on Google Cloud course, you will be able to:

1. Understand the foundational concepts of Artificial Intelligence (AI) and Machine Learning (ML) and how they are applied in real-world scenarios.
2. Get hands-on experience with Google Cloud AI/ML services such as AutoML, BigQuery ML, and AI Platform.
3. Learn how to create, train, and deploy machine learning models using Google Cloud tools like TensorFlow, Keras, and Cloud Machine Learning Engine.
4. Implement basic ML workflows such as data preprocessing, model training, model evaluation, and prediction.
5. Use AutoML to build custom models without deep technical knowledge of ML algorithms.
6. Explore BigQuery ML to create and deploy machine learning models directly within BigQuery, enabling seamless data analysis and model development.
7. Learn about Google Cloud’s AI-powered tools for natural language processing, image recognition, and structured data analysis.
8. Understand the role of ML pipelines and how to manage model versions and deployments for continuous learning and model optimization.
9. Gain insights into the ethical implications of AI and ML, including fairness, bias, and explainability.
10. Explore the Google Cloud AI and ML ecosystem to integrate AI capabilities into applications and business solutions.
11. Prepare for deeper exploration into advanced AI/ML topics with Google Cloud and pursue Google Cloud certifications in AI and machine learning.

Target Audience

This course is ideal for:

• Beginners who are new to AI and ML and want to learn how to apply these technologies using Google Cloud.
• Software developers and data scientists interested in building intelligent solutions on Google Cloud.
• Business analysts looking to integrate AI and ML into their decision-making process and business workflows.
• Project managers and tech leads who want to understand how AI and ML can be leveraged for their organization’s growth and innovation.
• Cloud professionals seeking to expand their skill set by learning how to deploy and manage AI/ML models on Google Cloud.