Those who earn the Google Cybersecurity Certificate have completed eight courses, developed by Google, that include hands-on, practicebased assessments and are designed to prepare them for entry-level roles in cybersecurity. They are competent in beginner-level Python, Linux, SQL, Security Information and Event Management (SIEM) tools, and Intrusion Detection Systems (IDS). They know how to identify common cybersecurity risks, threats, and vulnerabilities, as well as the techniques to mitigate.

Key Takeaways:

• • Identified the purpose and value of Google Cloud products and services. experiences.
• • Defined how infrastructure is organized and controlled in Google Cloud
• • Selected and used Google Cloud storage options

Key Takeaways:

• • Examined the value of data and how it affects customer experiences.
• • Explored the different Google Cloud data management solutions that are available.
• • Learnt about the ways Google Cloud products have made data more useful and accessible to a workforce.

Key Takeaways:

• • Understanding Core AI Concepts: Learn the basics of Artificial Intelligence, machine learning, and deep learning.
• • Azure AI Services: Gain familiarity with services like Azure Cognitive Services, Azure Machine Learning, and Azure Bot   Service.
• • Cognitive Services: Explore features like Computer Vision, Speech Services, and Text Analytics for AI-driven solutions.
• • Machine Learning Lifecycle: Understand data preparation, model training, and deployment using Azure Machine   Learning.
• • Ethics in AI: Learn about responsible AI practices, including fairness, transparency, and avoiding bias.

Key Takeaways:

• • Used generative AI tools to help develop ideas and content, make more informed decisions, and speed up daily work   tasks
• • Used AI responsibly by identifying AI’s potential biases and avoiding harm.
• • Develop strategies to stay up-to-date in the emerging landscape of AI