17d • General
Trying to Learn AI Agents Properly — Best Resources / Learning Path?
Hey everyone — I’m trying to learn AI agents in a practical way, but I’m honestly overwhelmed by the amount of hype and conflicting advice online.
Current background:
- Comfortable with SQL/Python
- Learning n8n
- Understand APIs, webhooks, JSON/data flow, and basic automations
- Some analytics/data engineering experience
What I’m struggling with is understanding:
- what concepts I should learn first
- which tools/frameworks are actually worth learning
- the difference between workflows vs agents
- how people are building reliable agents in real-world projects
I’d really appreciate recommendations for:
- YouTube channels
- courses
- GitHub repos
- blogs/newsletters
- beginner-friendly projects
- architecture breakdowns
- anything that helped things “click” for you
Especially interested in practical resources around:
- n8n agents
- Claude/OpenAI workflows
- MCPs
- RAG systems
- agent memory/state
- orchestration patterns
- production best practices
Trying to avoid wasting months jumping between random tutorials, so I’d love to hear what actually worked for people here.
Thanks!
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Trying to Learn AI Agents Properly — Best Resources / Learning Path?
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