Who is a full stack AI engineer?
These are the 8 skills for AI engineering you need to learn:
1. Prompt Engineering
Learn how to craft structured prompts that robustly generate deterministic output.
Learn how to craft structured prompts that robustly generate deterministic output.
2. RAG Systems
RAG = Retrieval Augmented Generation
This is where you give LLMs access to knowledge via databases (vector storage).
RAG = Retrieval Augmented Generation
This is where you give LLMs access to knowledge via databases (vector storage).
3. Fine Tuning
Learn skills like LoRA to enhance a foundational LLM with domain-specific data.
Learn skills like LoRA to enhance a foundational LLM with domain-specific data.
4. AI Agents
AI agents automate business processes and workflows with:
- tools
- multi-nodes
- memory and state management
AI agents automate business processes and workflows with:
- tools
- multi-nodes
- memory and state management
5. LLM Deployment
Learn how to package your models into production-ready APIs.
Learn how to package your models into production-ready APIs.
6. LLM Optimization
Learn how to improve results and lower inference costs by optimizing your AI applications.
Learn how to improve results and lower inference costs by optimizing your AI applications.
7. LLM Observability
Learn tracing, logging, and monitoring to ensure your AI application works as the underlying LLMs change.
Learn tracing, logging, and monitoring to ensure your AI application works as the underlying LLMs change.
8. Context Engineering
Learn how to orchestrate content and enhance contextual inputs to your LLM models for domain-specific purposes.
Learn how to orchestrate content and enhance contextual inputs to your LLM models for domain-specific purposes.
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
👉Register here (500 seats): learn.business-science.io/ai-register
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
That's a wrap! Over the next 24 days, I'm sharing the 24 concepts that helped me become a data scientist.
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