AI Experience Engineering
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10 lessons3 levels1 capstone project
Design trustworthy human-AI and agent experiences: capability framing, agent UX, progress, citations, approvals, uncertainty, recovery, handoffs, and long-running task status.
BASIC
- HAX Toolkit Webinar — Microsoft Research (60 min selected)
Evidence-based guidance for AI behavior before, during, after errors, and over time. - Tips for Building AI Agents — Anthropic (17 min)
Shows how loops, tools, boundaries, and guardrails shape trust. - New Tools for Building Agents — OpenAI (30 min selected)
Connects tools, tracing, handoffs, and agent primitives to user-facing systems.
INTERMEDIATE
- Agent Framework: Building Blocks — Microsoft
Apply AI Experience Engineering through the adjacent capability: Agent Context, Memory & State. - Context Engineering for Agents — LangChain
Apply AI Experience Engineering through the adjacent capability: Agent Context, Memory & State. - Building More Effective AI Agents — Anthropic
Apply AI Experience Engineering through the adjacent capability: AI Agents.
ADVANCED
- Getting Started with ADK — Google
Extend AI Experience Engineering into senior/production practice through Agent Context, Memory & State. - LangGraph Tutorial: Build Your First AI Agent — DataCamp
Extend AI Experience Engineering into senior/production practice through Agent Frameworks & Platforms. - MCP Workshop — Anthropic
Extend AI Experience Engineering into senior/production practice through AI Agents.