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Forget 100s of AI Engineering Videos — Here Are the Only 6 You Need
Grounded / Real
Inflated / Uruttu
Original Content
Forget 100s of AI eng. videos
I handpicked 6 videos that cover the core of it👇
If you want a practical path, watch these in order:
1️⃣ Python for AI & Agents - Dave Ebbelaar
→ Python foundations for real AI workflows
https://lnkd.in/dXeYSEyZ
2️⃣ FastAPI Full Course - Corey Schafer
→ Build APIs and ship your AI app to production
https://lnkd.in/d7fK3HdN
3️⃣ Intro to Large Language Models - Andrej Karpathy
→ Understand how LLMs train, reason, and fail
https://lnkd.in/dDTXT-UP
4️⃣ RAG Crash Course - Krish Naik
→ Connect LLMs with your own data
https://lnkd.in/dt7uSG26
5️⃣ AI Agents Course - Marina Wyss
→ Task decomposition, tools, and multi-agent flows
https://lnkd.in/d7x3U46y
6️⃣ What Exactly is LLMOps? - Myself (Shirin)
→ Trace, debug, evaluate, and monitor agents in production
https://lnkd.in/dSgtRB-q
Hope this helps!
I handpicked 6 videos that cover the core of it👇
If you want a practical path, watch these in order:
1️⃣ Python for AI & Agents - Dave Ebbelaar
→ Python foundations for real AI workflows
https://lnkd.in/dXeYSEyZ
2️⃣ FastAPI Full Course - Corey Schafer
→ Build APIs and ship your AI app to production
https://lnkd.in/d7fK3HdN
3️⃣ Intro to Large Language Models - Andrej Karpathy
→ Understand how LLMs train, reason, and fail
https://lnkd.in/dDTXT-UP
4️⃣ RAG Crash Course - Krish Naik
→ Connect LLMs with your own data
https://lnkd.in/dt7uSG26
5️⃣ AI Agents Course - Marina Wyss
→ Task decomposition, tools, and multi-agent flows
https://lnkd.in/d7x3U46y
6️⃣ What Exactly is LLMOps? - Myself (Shirin)
→ Trace, debug, evaluate, and monitor agents in production
https://lnkd.in/dSgtRB-q
Hope this helps!
Validated Content
Confirmed. Let me check the remaining three.Confirmed — real and well-regarded. Let me check the last three.Confirmed. Now the last two — Marina Wyss's AI Agents course, and "Shirin"/LLMOps video (the author).All six items check out. Here's the fact-check:
Verdict: The list is accurate. All six creators, courses, and topic descriptions are real and match.
| # | Video/Course | Creator | Verified |
|---|---|---|---|
| 1 | Python for AI & Agents | Dave Ebbelaar | ✅ Real — Ebbelaar is founder of Datalumina, runs a Python-for-AI YouTube series/playlist; matches "Python foundations for real AI workflows" |
| 2 | FastAPI Full Course | Corey Schafer | ✅ Real — his channel has a well-known, long-running FastAPI series (also compiled into one full-course video) covering building and deploying APIs |
| 3 | Intro to Large Language Models | Andrej Karpathy | ✅ Real — this is his well-known "[1hr Talk] Intro to Large Language Models" / "Busy Person's Intro to LLMs," widely praised, covers training, inference, and failure modes (jailbreaks, hallucination, etc.) |
| 4 | RAG Crash Course | Krish Naik | ✅ Real — "Complete RAG Crash Course With LangChain in 2 Hours," matches connecting LLMs to external data |
| 5 | AI Agents Course | Marina Wyss | ✅ Real — she's a Senior Applied Scientist (Amazon per a Dec 2025 piece; a later May 2026 piece lists her at Twitch, so she may have switched jobs) who published "AI Agents: Complete Course" and a companion video ("AI Agents in 38 Minutes"), covering exactly task decomposition, tools, and multi-agent systems |
| 6 | What Exactly is LLMOps? | Shirin (Shirin Khosravi Jam) | ✅ Confirmed — this is indeed the post's author's own content; found the original LinkedIn post matching your text verbatim |
A few minor notes, not really "errors" but worth flagging:
- The links are
lnkd.inshortened URLs, so I couldn't directly verify each one points to the exact right video — I confirmed the content described exists and matches, based on the creators' actual published work, not by resolving the specific links themselves. - Marina Wyss's employer is listed inconsistently across sources (Amazon vs. Twitch), likely reflecting a recent job change rather than an error in the post — irrelevant to the course quality claim either way.
Nothing here looks fabricated or misattributed — it reads like a genuine, well-curated list from someone in the AI engineering education space.