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Generative AI for Everyone

A beginner-friendly introduction to generative AI, prompting, LLM applications, generative AI projects, responsible AI, and the technology's impact on work and society.

Provider
DeepLearning.AI
Level
Beginner
Duration
Approximately 6 hours
Instructor
Andrew Ng
Format
Online, Self-paced

About

Generative AI for Everyone is a beginner-level DeepLearning.AI course taught by Andrew Ng. It explains how generative AI works, what current systems can and cannot do, and how the technology can be applied in everyday work and business. Learners are introduced to prompting, generative AI project lifecycles, large language models, retrieval-augmented generation, fine-tuning, model selection, tool use, AI agents, automation opportunities, and responsible AI.

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Learning Outcomes

  • ✓Understand how generative AI and large language models work at a practical level
  • ✓Recognize useful applications and limitations of generative AI
  • ✓Write more effective prompts for common tasks
  • ✓Understand the lifecycle of a generative AI project
  • ✓Recognize the roles of RAG, fine-tuning, model selection, tool use, and AI agents
  • ✓Identify opportunities for generative AI in professional workflows
  • ✓Understand important risks and responsible AI considerations

Syllabus

1. Introduction to Generative AI

Introduces how generative AI works, common applications, LLM capabilities and limitations, prompting techniques, and optional image-generation concepts.

2. Generative AI Projects

Covers generative AI software applications, project lifecycles, costs, retrieval-augmented generation, fine-tuning, model selection, instruction tuning, tool use, and agents.

3. Generative AI in Business and Society

Explores workplace applications, task analysis, automation opportunities, AI teams, responsible AI, societal concerns, and the broader impact of generative AI.

Skills Covered

🧠 Generative AI🧠 AI literacy🧠 Prompt Engineering🧠 Large Language Models🧠 LLM applications🧠 Retrieval-Augmented Generation🧠 AI project planning🧠 Business process automation🧠 Responsible AI🧠 Data ethics