daBongo LMS AI Training Courses

← Back to Course Dashboard

Course

Sub-Agents in Claude Code – Context, Delegation, and Focus

Course focus: Claude / Anthropic

Course overview

Course Learning Outcomes

By the end of this course, students should be able to:

  • Explain the specific Claude / Anthropic capability used in this course without provider hype.
  • Build a practical workflow using long-context reasoning, Projects, Artifacts, cited web research, writing critique, policy analysis, and artifact iteration.
  • Produce a reviewable artifact such as artifact prototype, policy memo, source-grounded brief, revision matrix, stakeholder-ready strategy note.
  • Diagnose common failure modes and revise the workflow.
  • Verify quality, privacy, rights, and human-approval requirements before use.

After enrolling, students can complete lesson quizzes as they move through the course.

The course final assessment unlocks after all required lessons and lesson quizzes are complete.

Paid Learning Context

Original baseline context: Students learn to use and create sub-agents in Claude Code – understanding why context management motivates sub-agent use, how to spawn and configure sub-agents, how to delegate tasks effectively, and how to build multi-agent workflows for complex tasks.

The paid version of this course treats the topic as a production workflow. Students must leave with a usable artifact, a reusable method, and evidence that the result was reviewed rather than blindly accepted.

Course Details

Duration
90 minutes
Difficulty
Advanced practitioner
Freshness
Paid enhancement generated August 18, 2026. Verify current provider UI, plan limits, commercial-use terms, and documentation before public marketing or high-stakes use.
Prerequisites

Basic familiarity with Claude / Anthropic and completion of earlier courses in this path when available.

Tools / Plan Requirements

Claude / Anthropic account; provider features relevant to long-context reasoning, Projects, Artifacts, cited web research, writing critique, policy analysis, and artifact iteration; workspace files or project materials; review checklist; current provider documentation.

Create an account or sign in to continue.

Log In / Create Account

AI Course Disclaimer

← Back to Course Dashboard