Generative AI for Everyone

Generative AI for Everyone (Deepened 12-Hour Syllabus)

Part 1: The Foundations (3 Hours)

Goal: Understand the "Brain" of AI.

• Hour 1: How LLMs Actually Work. * What is a Large Language Model? (The non-technical logic).

  • AI as a "Thought Partner" vs. a Search Engine.

• Hour 2: Capability & Reality.

  • What AI can do (Writing, Summarizing, Coding).

  • What AI cannot do (Fact-checking issues, "hallucinations," and lack of human judgment).

• Hour 3: Hands-on Lab 1. * Comparing Gemini, ChatGPT, and Claude side-by-side with the same task.

Part 2: Mastery of Prompt Engineering (3 Hours)

Goal: Learn to give instructions like a professional manager.

• Hour 4: The 4-Pillar Prompt.

  • Learning the "Context, Task, Constraints, and Format" framework.

• Hour 5: Advanced Prompt Patterns.

  • Few-shot prompting (Giving examples to the AI).

  • Chain-of-Thought (Asking the AI to "think step-by-step").

• Hour 6: Hands-on Lab 2.

  • The Personal Assistant Challenge: Using AI to draft a week’s worth of professional emails and meeting agendas in 15 minutes.

Part 3: AI in Business & Software (3 Hours)

Goal: Understanding the lifecycle of an AI project.

• Hour 7: RAG & Fine-Tuning.

  • Understanding how businesses connect AI to their own private data (Retrieval Augmented Generation).

• Hour 8: Cost & Choice.

  • How to choose the right model for a job.

  • "Cost Intuition": Understanding the price of using AI at scale.

• Hour 9: Hands-on Lab 3.

  • The Image Lab: Using Generative AI (like Midjourney or DALL-E) to create professional marketing visuals for a business idea.

Part 4: Strategy, Ethics & The Future (3 Hours)

Goal: Managing AI in the real world.

• Hour 10: AI Transformation & Workflow.

  • How to analyze your daily tasks to see what can be automated.

  • Building an AI "Squad" in a company.

• Hour 11: Responsible AI & Bias.

  • Identifying bias in AI outputs.

  • Security: How to keep your private data safe when using LLMs.

• Hour 12: Capstone Project.

  • The Workflow Blueprint: Create a plan to automate 3 major tasks in his specific field (e.g., Data Reporting or Student Management).

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