SuperML.dev

🎯 Purpose

This module evaluates your knowledge of LangChain through a combination of quizzes, hands-on coding tasks, and a capstone project. On successful completion, you’ll receive a verifiable certificate that demonstrates your skills.

✅ 1. Quizzes and Assignments

Area	Assessment Type	Example
Core Concepts	MCQ Quiz	What does a LangChain Agent do?
Prompt Templates	Fill-in-the-blank + Code Fixing	Fix a faulty prompt format
Chains & Memory	Code Snippet Completion	Complete a sequential chain that stores memory
Tools & Agents	Scenario-based question	Which tool would your agent use to solve X?

🧠 Try It Tip: Use LangChain playground or Jupyter notebooks to quickly test your answers.

💻 2. Capstone Project (Required for Certification)

Project Prompt:

Build an end-to-end LangChain app that answers domain-specific queries using a knowledge base.
It should include:

🧠 Memory

🛠️ Tools (at least 2)

📦 Vector store (e.g., FAISS or Chroma)

🧾 Output parser for response formatting

🗂️ Document loader

🧵 At least one custom prompt template

🧪 Evaluation Criteria:

Criteria	Points
Correct usage of LangChain Components	30
Code quality and documentation	20
Working demo / CLI / API	20
Creativity and real-world relevance	20
Output clarity (parser formatting, UX)	10

Submit the project via GitHub repo + deployment link (e.g., on Replit/Render/Streamlit).

📜 3. Certification

Once you:

✅ Pass the quizzes (minimum score 70%)
✅ Submit and get approval for the capstone project

➡️ You’ll receive a personalized PDF certificate with:

Your name
Completion date
Certification ID
QR code to verify authenticity

🎓 You can optionally request a LinkedIn badge to add to your profile.

📝 Optional Feedback Form

To make this certification valuable for all learners, we encourage feedback.