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TECHi AI Operator Cohort: course preview

New enrollments are closed. Browse an available preview or request course updates. Available sample material does not establish delivery of the full course, live teaching or instructor feedback.

Instructor: To be confirmed

Available sample material

Map the AI stack and choose your first operator workflow

Students audit their current work, rank tasks by repetition and risk, and select the workflow they will automate through the cohort.

Sample exercise

Submit a one-page workflow brief: input, output, quality bar, tools, risk, and expected time saved.

This preview does not award course credit or instructor feedback.

No additional downloadable materials are published for this preview.

Course availability and updates

Recorded course outline

Lesson titles describe the syllabus. Private materials require an active enrollment.

  1. Map the AI stack and choose your first operator workflow — sample material above
  2. Models, costs, context windows, privacy, and risk
  3. Prompt systems, roles, rubrics, and reusable instructions
  4. Create a personal AI workflow library
  5. RAG and memory without overengineering
  6. Build an AI research desk
  7. Agentic workflows and tool use
  8. Automation blueprint: from trigger to reviewed output
  9. Evals, scorecards, failure modes, and launch thresholds
  10. AI ROI: time saved, quality gained, and risks reduced
  11. Capstone build lab
  12. Launch review and adoption plan