Agentic Workflows
Build and orchestrate multi-step AI workflows. Design agent pipelines that handle complex, multi-stage tasks with appropriate human-in-the-loop checkpoints.
What You'll Learn at Each Tier
Write effective single-turn prompts and generate working code for isolated functions. Understand basic AI tool capabilities and limitations.
Apply AI tools across multi-file features. Manage context windows, iterate on outputs, and integrate AI-generated code into existing codebases.
Orchestrate AI across full feature implementations including data layer, API, and tests. Design effective prompt chains and evaluation criteria.
Architect AI-integrated applications with auth, billing, and deployment. Manage AI costs, implement caching strategies, and design fallback patterns.
Design multi-service AI architectures. Coordinate AI across monorepos, implement cross-service AI workflows, and build organization-scale AI strategies.
Sample Challenge
Tier 2 Challenge Preview
Design a two-step agent workflow: Step 1 extracts key entities from a support ticket. Step 2 classifies the ticket priority (P1-P4) based on extracted entities and historical patterns. Define the handoff format between steps.
Evaluation Criteria
- - Workflow design clarity
- - Handoff data structure
- - Error handling between steps