@thom.code: Part 1 ~ How to Learn AI Engineering 🗺️ Roadmap Summary: 1. Learn production Python, basic math (stats, linear algebra), Git, APIs, and command line 2. Get familiar with the core toolkit: OpenAI API: gives you access to powerful pre-trained models without building anything from scratch HuggingFace: a library of open source models you can use and fine-tune for more control LangChain: lets you chain model calls together into actual multi-step applications Pinecone: a vector database that gives your AI the ability to store and retrieve information Docker: packages your app so it runs the same way in every environment 3. Build your first projects: a chatbot, a RAG app, and a content generator 4. Go deeper: fine-tuning, advanced RAG, proper deployment 5. Land your first role (most people do this around year 1-2) 6. Work towards senior level: inference optimization, security, monitoring at scale #programming #coding #aiengineering #roadmap
Thom Code
Region: NG
Saturday 02 May 2026 15:11:41 GMT
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Seong Gi-hun :
basically "ai engineer" is promt engineer 😂
2026-05-04 08:06:14
33
WetWater :
we been doing this already😭 Now they just throwing the AI word in the title
2026-05-03 13:43:52
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KEN69SHIN :
haha
2026-05-02 19:20:23
4
blossom :
A machine learning engineer trains the models not data scientists
2026-06-02 08:55:08
5
rizz :
python to hard
2026-05-06 07:32:42
0
morespraybro :
Typescript
2026-05-12 21:59:11
0
Ashraf M :
What do you mean by advanced python
2026-05-28 14:33:11
0
Trey :
Luv the content 🙏🏽💯🔥
2026-05-05 15:54:21
1
Tony Pham :
🥰🥰🥰
2026-05-04 06:58:49
0
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