AI Foundations for Everyone
Completed by Tia on September 17, 2025
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About this Badge
This collection provides a foundational understanding of AI principles, concepts, and technologies, ensuring that every team member has a solid base in AI literacy. It covers the fundamental building blocks of AI, including machine learning, data analysis, and AI ethics.
Learning objectives
- Analyze ethical and societal implications of AI technologies, including algorithmic bias, surveillance, and democracy.
- Develop AI and ML models using Google Cloud tools, understanding the data-to-AI lifecycle and AI solutions.
- Critically evaluate case studies involving AI technologies using ethical frameworks and socio-technical perspectives.
- Understand fundamental AI concepts and machine learning models, exploring their ethical considerations and applications.
Skills learned
- Machine Learning Algorithms
- Artificial Neural Networks
- Human Centered Design
- Google Cloud Platform
- Artificial Intelligence
- Generative AI
- Artificial Intelligence and Machine Learning (AI/ML)
- Social Justice
- Prompt Engineering
- Algorithms
- Generative AI Agents
- Data Ethics
- Machine Learning Methods
- Research
- Research Design
- Research Reports
- Research Methodologies
- Research and Design
- Applied Machine Learning
- Statistical Machine Learning
- Keyword Research
- Operations Research
- MLOps (Machine Learning Operations)
- PyTorch (Machine Learning Library)
- Design Research
- Market Research
- User Research
- Business Research
- Clinical Research
- Laboratory Research
- Legal Research
- Qualitative Research
- Quantitative Research
- Scikit Learn (Machine Learning Library)
- Science and Research
- UI/UX Research
- General Science and Research
- Medical Science and Research
- Policy Analysis, Research, and Development
- Skills section collapsed. Showing 6 of 39 skills.
Learning content completed
Some of the content and skills presented have been contributed by the content provider.