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!

Hey everyone, would love some quick advice from folks.👇 I’m currently planning to get my Salesforce Admin certification and start picking up freelance CRM work this year. I already have solid CRM experience and have had client interest before, so I feel good about that path. My bigger question is around what skills to prioritize next to grow my income. What high-impact skills would you recommend focusing on in the short term? Would really appreciate any thoughts or direction, especially from people already freelancing or working in this space.

All of the resources for the course are in the classroom Excited to share with you what I worked on over the past few weeks https://www.youtube.com/watch?v=TZ43SRdTMs0

Got my first invitation to interview after just 2 proposals after using Ryan's template on how to engage employers on Upwork. Refresh your memory here: https://www.youtube.com/watch?v=i8bFw1XQmco&list=PLcQVY5V2UY4L8_RvrhvgJsjnClE0BxxML&index=8&t=5s

I’m trying to understand where client demand is highest (e.g., SQL, dashboards, Python, ML, etc.) and which skills actually lead to consistent paid work. I'm always seeing a lot of web scraping work for example. If you freelance in data/analytics, I’d love to hear: What skills clients request the most? What tools/projects get you the most jobs? Anything you wish you had focused on earlier? Thanks!