🕹️
AI AGENTS
NEXLEVR LEARNERS // FREE RESOURCES
Build autonomous AI systems. Multi-agent workflows, tool calling, and agentic application design.
📋 PROOF-OF-WORK TASKS
BBEGINNER
- →Build a simple ReAct agent that can search the web and summarize results — share a demo with 3 example queries
- →Create an agent workflow using LangChain/CrewAI and document the agent roles — share a demo video
IINTERMEDIATE
- →Build a multi-agent system where agents collaborate on a complex task — post architecture diagrams and a demo
- →Implement tool-calling agents with error handling and retry logic — publish a technical guide with code samples
3
VIDEOS
FREE
ALWAYS
4
TASKS
YOUTUBE RESOURCES
ENGLISH
3 RESOURCESROADMAPS & DOCUMENTATION
🗺️ROADMAP
roadmap.sh
Autonomous workflow paths, tool bindings, memory configurations, and agent frameworks.
VISIT PLATFORM
🎓REFERENCE
GeeksforGeeks
Heuristic planning, reinforcement models, state-space trees, and reasoning architecture.
VISIT PLATFORM
📄OFFICIAL DOCS
LangChain Docs
Official framework manuals for configuring chains, tools, prompt layouts, and memory storage.
VISIT PLATFORM
💻CODE REPO
GenAI Agents (GitHub)
Curated additional study materials and practical guides for AI Agents.
VISIT RESOURCE
💻CODE REPO
Microsoft — AI Agents for Beginners
Curated additional study materials and practical guides for AI Agents.
VISIT RESOURCE