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Ryan Ahmed – Become an LLM & Agentic AI Engineer: 14-Day Bootcamp

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Ryan Ahmed – Become an LLM & Agentic AI Engineer - 14-Day Bootcamp

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Sale Page: https://www.stemplicityschool.com/become-an-llm-agentic-ai-engineer-14-day-bootcamp-2

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Ryan Ahmed – Become an LLM & Agentic AI Engineer: 14-Day Bootcamp

Today, developers increasingly need to understand Large Language Models, RAG, embeddings, open-source models, AI agents, multi-agent systems,

tool calling, model evaluation, and workflow automation.

That’s where Ryan Ahmed – Become an LLM & Agentic AI Engineer: 14-Day Bootcamp comes in.

The program from Stemplicity School is positioned as an intensive, hands-on training experience covering the modern LLM and agentic AI development stack.

The curriculum moves from LLM fundamentals and Hugging Face into RAG, fine-tuning, LangGraph, CrewAI, AutoGen, n8n, MCP, and the OpenAI Agents SDK.

What Does “LLM Engineer” Actually Mean?

The course starts by establishing the foundations of Large Language Models.

Students learn about how LLMs are:

trained

fine-tuned

deployed

evaluated

integrated into applications

This foundation matters because building useful AI applications involves much more than sending a prompt to an API.

An LLM engineer needs to understand what happens between:

User input → model → context → tools → output → application.

The bootcamp gradually introduces those components.

Become an LLM & Agentic AI Engineer - 14-Day Bootcamp

Build An AI Tutor

Another early project involves creating an adaptive LLM-powered AI tutor using Gradio.

This introduces another important concept:

AI isn’t necessarily just a chatbot.

It can be designed around a specific workflow and user experience.

A tutoring system, for example, might need to:

understand the user’s level

provide explanations

adapt responses

maintain context

generate questions

provide feedback

That kind of application design is closer to real-world LLM engineering than simply experimenting with prompts.

Who Should Take This Bootcamp?

The program is particularly relevant to:

software developers

Python developers

data scientists

machine learning engineers

aspiring AI engineers

technical founders

developers moving into LLM applications

professionals building AI products

Stemplicity itself labels this bootcamp as “For developers.”

That’s an important distinction.

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