Learning Paths for Technical Professionals
AI Foundations for Tech Teams
This starter learning path provides a foundation in generative AI, covering the basics of GenAI, hands-on experience with ChatGPT and Google Gemini, prompt engineering techniques, security and privacy risks, and the ethical considerations of AI. Learners will gain practical skills in using leading AI tools, safeguarding data, understanding AI risks, and applying ethical frameworks to responsible AI development and deployment.
Learning objectives:
- Explain the core concepts of artificial intelligence, machine learning, and generative AI, including the distinctions between them and the fundamentals of large language models.
- Demonstrate proficiency in using ChatGPT and Google Gemini for a variety of tasks, leveraging advanced prompt engineering techniques to optimize outputs.
- Identify and mitigate security and privacy risks associated with generative AI tools, applying best practices for data protection in real-world scenarios.
- Analyze the risks and vulnerabilities inherent in generative AI systems, including data leakage, prompt injection, model bias, and other cybersecurity threats.
- Apply ethical principles and regulatory frameworks to the development, deployment, and use of AI, ensuring responsible and fair AI practices in business and individual contexts.
Target audience:
This path is designed for technology teams, business professionals, and individuals seeking foundational knowledge in generative AI and its practical applications. It is ideal for those who want to responsibly leverage AI tools like ChatGPT and Google Gemini, understand associated risks, and ensure ethical and secure AI adoption within their organizations.