AI, Data Science & Cloud Certificates from Google, IBM & Meta
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Overview
Google, IBM & Meta Certificates – 40% Off
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Boost your awareness of core concepts in AI in this beginner-friendly course accessible to anyone.
Syllabus
Introduction
- Answers to your most common AI questions
- A quick history of AI
- What's the difference between traditional AI and generative AI?
- Why does AI cost so much to create?
- What's an LLM?
- What does it mean to train an AI model?
- What is a GPU?
- What is an AI agent and how can it help you?
- What makes an effective prompt?
- What is "Chain of Thought" prompting?
- Why does quality matter in AI?
- How can we ensure data integrity in AI?
- How does data quality impact AI outcomes?
- What are the ethical considerations in AI?
- How can we practice responsible AI?
- What are the regulations and compliance requirements for AI?
- The environmental impact of AI: When shouldn't we use it?
Taught by
Dr. Marily Nika