42 lines
1.4 KiB
Python
42 lines
1.4 KiB
Python
# ai-fluency personal plan generator
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def main():
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plan = """
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Personal AI Fluency Plan
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1. Foundations (Week 1-2)
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• Complete the “AI Fluency Framework Foundations” module.
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• Review key concepts: prompt engineering, model capabilities, safety considerations.
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• Take the end-of-module quiz to ensure understanding.
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2. Skill Development (Week 3-4)
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• Practice building simple agents with LangChain 1.x:
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– Create a basic question‑answer agent using ChatOpenAI.
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– Add a tool for web search and integrate it into the agent workflow.
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• Experiment with stream mode in LangGraph to handle long responses.
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3. Application (Week 5-6)
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• Identify a real‑world problem you want to solve (e.g., automating email summaries).
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• Design an end‑to‑end pipeline:
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– Data ingestion
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– Prompt design
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– Agent orchestration with LangGraph
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– Output formatting
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• Deploy the solution locally or on a cloud platform.
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4. Reflection & Iteration (Week 7)
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• Evaluate the performance of your solution.
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• Refactor prompts and agent logic based on feedback.
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• Document lessons learned and potential improvements.
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5. Final Deliverable
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• Submit a concise written plan (this document) outlining:
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– Course completion status
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– Key takeaways
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– Personal action steps for continued AI fluency
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"""
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print(plan.strip())
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if __name__ == "__main__":
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main() |