AI Career Paths Explained: Roles, Teams & Real Growth in Industry
Автор: Life Decode
Загружено: 2026-01-15
Просмотров: 12
Understand the real structure of AI careers—roles, team dynamics, and long-term growth—without hype or shortcuts.
This lesson breaks down how modern AI teams actually work and how sustainable AI careers are built.
📌 Timestamps (Major Topics Only):
00:00:00,000 — AI careers & team structures: practical reality
00:01:26,126 — ML Engineer role: responsibilities & misconceptions
00:02:35,963 — Data Scientist vs ML Engineer vs Data Engineer
00:03:38,905 — Research Scientist roles: tradeoffs & career paths
00:04:48,923 — MLOps engineer: specialization & demand
00:05:54,795 — AI Product Manager: technical depth & impact
00:07:00,963 — AI ethics & policy roles
00:08:20,767 — How effective AI teams are structured
00:10:46,201 — Sustainable learning & career longevity in AI
00:13:02,629 — Portfolios, real impact, and career signals
00:14:26,383 — Trends shaping the future of AI careers
00:15:37,770 — Core takeaways for long-term AI career decisions
Доступные форматы для скачивания:
Скачать видео mp4
-
Информация по загрузке:
