34 lines
1017 B
Python
34 lines
1017 B
Python
# Personal AI Fluency Plan
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## Overview
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This plan outlines the steps to develop AI fluency using the framework from the Ai Fluency course.
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## Goals
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1. Understand core concepts of AI fluency.
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2. Apply LangChain and LangGraph to build simple agents.
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3. Create a personal learning roadmap.
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## Plan
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1. **Foundations** – Complete the course modules.
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2. **Hands‑on** – Build a small LangChain chain that answers a question.
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3. **LangGraph** – Create a graph that routes queries to different tools.
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4. **Reflection** – Document lessons learned and next steps.
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## Deliverable
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A written plan (this file) and a minimal working example in `main.py`.
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## Example Code
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```python
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from langchain import OpenAI, LLMChain
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from langchain.prompts import PromptTemplate
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prompt = PromptTemplate(
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input_variables=["question"],
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template="Answer the following question concisely: {question}"
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)
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llm = OpenAI(temperature=0.7)
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chain = LLMChain(llm=llm, prompt=prompt)
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print(chain.run(question="What is AI fluency?"))
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```
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