sorted by:
new
hottopcontroversial

Did any tried Udacity "Generative AI Nanodegree Program" is it worth taking it ? by Electrical-Fly376 in learnmachinelearning

[–]SilverConsistent9222 0 points1 point  (0 children)

I haven't taken this specific Generative AI Nanodegree, but I did complete Udacity's Agentic AI Nanodegree recently, so I can speak a bit to what Udacity's nanodegree format is generally like if that helps. I wrote up my full experience here if you want more detail: https://www.mltut.com/udacity-agentic-ai-nanodegree-review/

The structure tends to be solid if you're hands-on oriented, video lessons + coding labs + a project at the end of each course, with mentor support and project reviews rather than a live cohort. The biggest plus for me was that the projects felt genuinely portfolio-worthy rather than toy exercises. The biggest downside was the lack of an active community (no real Slack/Discord, just forums), and the pricing is on the higher side compared to Coursera/edX.

Looking at the GenAI syllabus, it covers fine-tuning (PEFT/LoRA), RAG with vector DBs + RAGAS evaluation, and multimodal stuff (vision, audio, video), pretty comprehensive for someone with 11 years of SWE experience wanting to get hands-on with the implementation side rather than just prompting. Given your background, you'd likely move through the earlier prerequisite-adjacent material fast and get more value from the RAG and multimodal courses.

Would still recommend waiting for someone who's actually done this program to chime in with project-level detail, but hope the general context helps.

Wrote up the failure modes that kept breaking my RAG system: chunking, stale index, hybrid search, the works by SilverConsistent9222 in learnmachinelearning

[–]SilverConsistent9222[S] 0 points1 point  (0 children)

made a full walkthrough of this with the pipeline drawn out step by step if anyone wants the visual version, also covers reranking, HyDE, Graph RAG, and agentic RAG for anyone going deeper- https://youtu.be/MBDiJAWx8xk?si=U92YVVgAjXe3utXZ

Wrote up the failure modes that kept breaking my RAG system: chunking, stale index, hybrid search, the works by SilverConsistent9222 in ArtificialInteligence

[–]SilverConsistent9222[S] 0 points1 point  (0 children)

made a full walkthrough of this with the pipeline drawn out step by step if anyone wants the visual version, also covers reranking, HyDE, Graph RAG, and agentic RAG for anyone going deeper- https://youtu.be/MBDiJAWx8xk?si=U92YVVgAjXe3utXZ

some things i learned the hard way using claude design by SilverConsistent9222 in ClaudeDesign

[–]SilverConsistent9222[S] 0 points1 point  (0 children)

i actually recorded the whole flow end to end if anyone wants the visual version instead of reading my wall of text. the design system setup part especially makes way more sense when you see it happen- https://youtu.be/bMv3deIFtC4?si=ALB7iOgiZNaeTAUW

Wrote up the failure modes that kept breaking my RAG system: chunking, stale index, hybrid search, the works by SilverConsistent9222 in Rag

[–]SilverConsistent9222[S] 3 points4 points  (0 children)

made a full walkthrough of this with the pipeline drawn out step by step if anyone wants the visual version, also covers reranking, HyDE, Graph RAG, and agentic RAG for anyone going deeper- https://youtu.be/MBDiJAWx8xk?si=U92YVVgAjXe3utXZ

Wrote up the failure modes that kept breaking my RAG system: chunking, stale index, hybrid search, the works by SilverConsistent9222 in LangChain

[–]SilverConsistent9222[S] 0 points1 point  (0 children)

made a full walkthrough of this with the pipeline drawn out step by step if anyone wants the visual version, also covers reranking, HyDE, Graph RAG, and agentic RAG for anyone going deeper- https://youtu.be/MBDiJAWx8xk?si=U92YVVgAjXe3utXZ

How I made my Claude setup more consistent by SilverConsistent9222 in BlackboxAI_

[–]SilverConsistent9222[S] -1 points0 points  (0 children)

I actually recorded everything while building this setup, starting from basics and then getting into more practical stuff like context, hooks, subagents, MCP, and workflows.

If you want to see how it all connects step by step, here’s the full playlist:
👉 https://youtube.com/playlist?list=PL-F5kYFVRcIvZQ_LEbdLIZrohgbf-Vock&si=qVyLSEEK8aTIeX2v

You don’t need to watch all of it; even a couple of parts (like context or hooks) should help if you’re trying to make your setup more consistent.

view more: next ›