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Live webinarCareerLearning PathAI Engineering
The AI engineer skill tree: what to learn and when
More tutorials than time. Here is the order that actually gets you hired.
Param Harrison
Cofounder, AEOsome.com · Chief Mentor, learnwithparam.com
60 minutes · beginner
About this session
Why this one matters
There is more AI engineering content than hours in your life. This session draws the skill tree: the foundations you cannot skip, the branches that open up once you have them, and the distractions that look like progress but are not. Built from conversations with engineers at AI-native companies and the hiring managers placing them.
Who should watch
- Engineers overwhelmed by the amount of AI content out there
- Backend, full-stack, or data engineers switching into AI roles
- Beginners who want to stop hopping between tutorials and start building
Topics we'll cover
What's on the menu
- Foundations you cannot skip: prompting, retrieval, evals, production basics
- Branches that open once foundations are solid: agents, MCP, coding agents
- Specializations that separate mid-level from senior AI engineers
- Distractions that look like progress and are not
- A sequenced learning plan you can start on Monday
What you'll walk away with
Leave with a blueprint
- Map the AI engineering skill tree in your head instead of chasing tutorials
- Tell foundational skills apart from nice-to-haves
- Pick the next thing to learn based on where you want to end up
- Drop the content that looks useful but is pure distraction
- Walk out with a sequenced plan you can start this week