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@mdancho84: Who is a full stack AI enginee...

@mdancho84
17 views Sep 21, 2025
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Who is a full stack AI engineer?

These are the 8 skills for AI engineering you need to learn:
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1. Prompt Engineering

Learn how to craft structured prompts that robustly generate deterministic output.
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2. RAG Systems

RAG = Retrieval Augmented Generation

This is where you give LLMs access to knowledge via databases (vector storage).
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3. Fine Tuning

Learn skills like LoRA to enhance a foundational LLM with domain-specific data.
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4. AI Agents

AI agents automate business processes and workflows with:

- tools
- multi-nodes
- memory and state management
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5. LLM Deployment

Learn how to package your models into production-ready APIs.
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6. LLM Optimization

Learn how to improve results and lower inference costs by optimizing your AI applications.
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7. LLM Observability

Learn tracing, logging, and monitoring to ensure your AI application works as the underlying LLMs change.
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8. Context Engineering

Learn how to orchestrate content and enhance contextual inputs to your LLM models for domain-specific purposes.
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Want to learn how to do this for a data science project?

On October 1st, How I built an AI Customer Segmentation Agent with Python (Free Workshop):

- Scikit Learn
- K-Means
- LangChain
- LangGraph
- OpenAI

๐Ÿ‘‰Register here (500 seats): learn.business-science.io/ai-register
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That's a wrap! Over the next 24 days, I'm sharing the 24 concepts that helped me become a data scientist.

If you enjoyed this thread:

1. Follow me @mdancho84 for more of these
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