← Back to Agents
Learning Path
Level 2: For curious professionals ready to build their own agent systems
Who This Is For
- • Professionals who want AI literacy to level up their work
- • Curious learners who see AI as an opportunity, not a threat
- • Early adopters ready to invest time in learning agent systems
- • No coding required for early phases—technical depth optional
The Learning Journey
1
2-4 weeksFoundations
- • Understanding what agents are (and aren't)
- • Basic prompt engineering for agent behaviors
- • Introduction to Claude and conversation design
Outcome: You can have productive AI conversations and understand agent concepts
2
4-6 weeksFirst Agent Projects
- • Setting up Claude Code as your orchestrator
- • Installing and using your first MCPs
- • Creating basic automation workflows
Outcome: You have working agents handling real tasks in your daily workflow
3
6-8 weeksTrust Calibration
- • Understanding trust levels (0-4)
- • Designing safety boundaries
- • When to grant autonomy vs require approval
Outcome: You can confidently delegate tasks to agents with appropriate oversight
4
OngoingMulti-Agent Orchestration
- • Coordinating multiple specialized agents
- • Creating handoff protocols between agents
- • Building agent teams for complex workflows
Outcome: You orchestrate AI teams that handle sophisticated multi-step tasks
Starter Projects
Practical projects to build your first agents. Start with Beginner, progress to Intermediate.
Research Assistant
BeginnerAn agent that researches topics, summarizes findings, and saves to your preferred format.
ClaudeFirecrawl
Documentation Helper
BeginnerAn agent that reads your code and generates clear documentation with examples.
Claude CodeFilesystem
Data Organizer
IntermediateAn agent that extracts, transforms, and organizes data from various sources.
ClaudeAirtableFilesystem
Content Pipeline
IntermediateAn agent that researches, writes, and optionally converts content to audio.
ClaudeFirecrawlElevenLabs
Before You Start
Recommended
- • Comfort with ChatGPT or Claude conversations
- • Basic understanding of how AI works (conceptually)
- • Willingness to experiment and iterate
Not Required
- • Programming experience (helpful but not essential)
- • Technical background
- • Previous AI/ML knowledge
Want to see how these concepts look in practice?