Engineers Clinic
AdvancedSoftware trackAID-PROMPT-P08

Multi-step Reasoning Pipeline

Build Multi-step Reasoning Pipeline end to end using Python, OpenAI/Anthropic API, DSPy, LangChain. Ten guided workspace steps take you from requirements to a deployed, AI-graded deliverable. Submit: GitHub repo + live demo/Colab + README + metrics report.

AI, Data & AnalyticsPrompt Engineering
10 Guided Steps120h Internship TierSubmit: GitHub repo + live demo/Colab + README + metrics reportVerified CertificateAI Rubric Graded
Core Tech Stack:PythonLangChainOpenAI/Anthropic APIDSPy
Program Overview

Build Multi-step Reasoning Pipeline end to end using Python, OpenAI/Anthropic API, DSPy, LangChain. Ten guided workspace steps take you from requirements to a deployed, AI-graded deliverable. Submit: GitHub repo + live demo/Colab + README + metrics report.

What you submit

GitHub repo + live demo/Colab + README + metrics report

Stack: Python, OpenAI/Anthropic API, DSPy, LangChain

How it is graded

Signals: Repo builds & tests pass; metric threshold; deployment reachable; README; commits

  • Functionality & requirements30
  • Technical quality & architecture25
  • Documentation15
  • Deployment & evidence15
  • Innovation10
  • Presentation5

Pass 60% · Merit 75% · Distinction 90%

Learning Outcomes
Graded on: Repo builds & tests pass; metric threshold; deployment reachable; README; commits. Pass 60% · Merit 75% · Distinction 90%.
Target Audience

Engineering Students

Diploma, B.Tech, B.E., BCA, MCA, or M.Tech students seeking practical experience.

Aspiring Developers

Developers who want to build proof-of-work capstone projects for tech resumes.

Job Seekers

Graduates looking for AI-evaluated code review & verified industry credentials.