What Are the Best AI Skills for “AI engineering”?

13 skills tagged “AI engineering”, each forged from a YouTube creator's methodology.

Zen van Riel

Zen van Riel Local AI Fine-Tuning Pipeline

Apply a structured, five-step fine-tuning pipeline to transform any open-source base model into a task-specific or persona-specific AI that behaves in ways no prompt or RAG system can reliably replicate.

22 Aug 2026
Simplilearn

Simplilearn AI Capstone Project Navigator

Given a new AI engineering scenario or project brief, apply the three-track Capstone methodology to select the right project type, structure both parts correctly, choose the right models and tools, and avoid the most common implementation mistakes.

15 Aug 2026
Aishwarya Srinivasan

Aishwarya Srinivasan LLM Fine-Tuning Decision Framework

Choose the right fine-tuning methodology for any LLM use case and understand exactly what is happening under the hood — so you are not just making API calls but engineering with genuine depth.

14 Aug 2026
Intellipaat

Intellipaat 2026 AI Engineering Roadmap

Apply a sequenced, build-first roadmap to go from zero AI knowledge to a deployable, hire-ready AI engineering skillset without wasting months on outdated theory-first approaches.

14 Aug 2026
JavaScript Mastery

Adrian's Vibe Engineering Build Framework

Build any full-stack AI web app by having the AI write its own detailed implementation prompts, which you approve before a single line of code is written — eliminating back-and-forth and producing consistent, production-quality results.

7 Aug 2026
Simplilearn

Simplilearn AI Engineer Capstone Blueprint

Given any AI capstone project scenario, systematically select the right methodology, assemble the correct data pipeline, choose pre-built models over scratch-built ones, and deliver a working end-to-end AI solution across computer vision, recommendation systems, or sales forecasting.

7 Aug 2026
Simplilearn

Simplilearn AI Capstone Project Architect

Given a new AI engineering scenario, apply the three-track capstone methodology to scope, structure, and execute a practical AI solution across computer vision, recommendation systems, or sales forecasting.

1 Aug 2026
DataTalksClub ⬛

Grigorev RAG Application Build Framework

Build a working Retrieval Augmented Generation (RAG) application from scratch that answers domain-specific questions using a private knowledge base — without retraining any LLM.

17 July 2026
AI Engineer

Koc Dark Factory Agent Shipping Method

Apply the OpenClaw swim-lane factory methodology to ship code at extreme velocity using autonomous agents without collapsing into chaos or token waste.

6 June 2026
AI Engineer

Koc Dark Factory Agent Orchestration Method

Apply Vincent Koc's swim-lane factory model to ship code at industrial velocity using multiple parallel AI coding agents, without turning your codebase into a fire dump.

5 June 2026
AI Engineer

Hetzel Eval Maturity Phases Framework

Apply a structured, stage-by-stage methodology to design and mature your LLM/agent evaluation system — from first vibes to production flywheels — so your agent reaches production with measurable, defensible quality.

27 May 2026
AI Engineer

Hetzel Agent Team Composition Framework

Design the right cross-functional team structure for building production-grade agentic AI applications by correctly positioning data scientists, engineers, and domain experts.

26 May 2026
AI Engineer

Swanepoel's Best Agents Four-Pattern Framework

Apply the four structural patterns shared by the world's best AI agents to dramatically improve any agent you are building or evaluating.

26 May 2026