Dense Retrieval
If you like applying Dense Retrieval, every challenge here gives you a chance to practice it on a real industry brief.
- ResearchBeginnerNew
Evaluate Open-Source Embedding Models for a Multilingual Help Center
You receive 1,200 labeled (query, relevant-help-article) pairs across 6 languages plus the help-center corpus (~25,000 articles). Index the corpus with each of 4 open-source mul…
- Multilingual Embeddings
- Dense Retrieval
- Ir Evaluation
Information Retrieval and Search - CodeBeginnerNew
Hybrid Search RAG for a HR-Policy Assistant
You receive 1,800 pages of policy documents (Markdown) and 150 labeled question-answer pairs with the gold source policy IDs. Build a hybrid retrieval pipeline: BM25 + dense emb…
- Hybrid Search
- Bm25
- Dense Retrieval
Open coursework - ResearchBeginnerNew
Research Roadmap for Meridian DSP's Bid-Matching Pipeline
Using the VP of Machine Learning's context memo (vp-brief) and the pipeline case file (pipeline-case-file) to ground every recommendation in Meridian's actual system, assemble a…
- Information Retrieval
- Learning To Rank
- Research Synthesis
Open coursework - CodeBeginnerNew
Build a Hybrid Search for an Enterprise RAG Knowledge Base
You receive 50,000 internal documents (anonymized policy memos, regulation excerpts, internal FAQs) plus a 300-query benchmark with binary relevance labels for the top-10 return…
- Hybrid Search
- Bm25
- Dense Retrieval
Open coursework Practice your coursework on real scenarios.
Every challenge is shaped from real-world context — not generic exercises. The work mirrors what your degree prepares you for.
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How it works
From brief to credential, in six steps.
Step 01
Browse challenges aligned to your studies.
Step 02
Accept the one that fits your goals.
Step 03
Work through it with AI Copilot guidance.
Step 04
Submit for structured evaluation.
Step 05
Earn a verified credential.
Step 06
Add it to LinkedIn with one click.
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