Who is a full stack AI engineer? These are the 8 skills for AI...

Learn how to craft structured prompts that robustly generate deterministic output.
RAG = Retrieval Augmented Generation
This is where you give LLMs access to knowledge via databases (vector storage).
Learn skills like LoRA to enhance a foundational LLM with domain-specific data.
AI agents automate business processes and workflows with:
- tools
- multi-nodes
- memory and state management
Learn how to package your models into production-ready APIs.
Learn how to improve results and lower inference costs by optimizing your AI applications.
Learn tracing, logging, and monitoring to ensure your AI application works as the underlying LLMs change.
Learn how to orchestrate content and enhance contextual inputs to your LLM models for domain-specific purposes.
On October 1st, How I built an AI Customer Segmentation Agent with Python (Free Workshop):
- Scikit Learn
- K-Means
- LangChain
- LangGraph
- OpenAI
👉Register here (500 seats): learn.business-science.io/ai-register
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These are the 8 skills for AI engineering you need to learn:
Register for my next live AI for Data Scientists Workshop here: learn.business-science.io/ai-register

