RAG and Semantic Search
40 hoursIntermediate7 modules
3 of 7 modules with a published syllabus
0 of 7 modules recorded
Syllabus
Covers the whole path from text to a grounded answer: text as data, embeddings and semantic search, end-to-end RAG — a module shared with Agentic AI — and classification/NER. The application layer comes in through AI APIs and prompt engineering, and the rigour through evaluating AI systems, without which a RAG system is not verifiable. Data collection and cleaning is included because the corpus is half the problem.
Modules of this programme
The same objects as the full curriculum. A module opened from any programme that contains it is the same module, with the same syllabus and the same status.
| Code | Module | Content | Hands-on | Status | Price |
|---|---|---|---|---|---|
| CORE-104 | Data: collection and cleaning | Pandas, CSV/JSON/APIs, missing data, EDA | Clean and explore a real, messy dataset | Syllabus published | R$ 120US$ 40MX$ 500estimated price0 of 1 module published |
| NLP-101 | Text as data (tokens, cleaning, regex) | Detailed syllabus not written yet | — | Syllabus published | |
| NLP-201 | Embeddings and semantic search | Detailed syllabus not written yet | — | Syllabus published | |
| NLP-202 | End-to-end RAG (shared with Agentic AI) | Detailed syllabus not written yet | — | Syllabus published | |
| NLP-203 | Classification and NER | Detailed syllabus not written yet | — | Syllabus published | |
| CORE-205 | AI APIs and prompt engineering | OpenAI/Anthropic/OSS, function calling, cost | A CLI app that calls an LLM through an API | Syllabus published | R$ 180US$ 60MX$ 750estimated price0 of 1 module published |
| CORE-304 | Evaluating AI systems | Benchmarks, LLM evals, A/B testing, red teaming | Build an eval suite for an application | Syllabus published | R$ 240US$ 80MX$ 1,000estimated price0 of 1 module published |
- CORE-104Syllabus published
Data: collection and cleaning
- Content
- Pandas, CSV/JSON/APIs, missing data, EDA
- Hands-on
- Clean and explore a real, messy dataset
R$ 120US$ 40MX$ 500estimated price0 of 1 module published
- NLP-101Syllabus published
Text as data (tokens, cleaning, regex)
Detailed syllabus not written yet
- NLP-201Syllabus published
Embeddings and semantic search
Detailed syllabus not written yet
- NLP-202Syllabus published
End-to-end RAG (shared with Agentic AI)
Detailed syllabus not written yet
- NLP-203Syllabus published
Classification and NER
Detailed syllabus not written yet
- CORE-205Syllabus published
AI APIs and prompt engineering
- Content
- OpenAI/Anthropic/OSS, function calling, cost
- Hands-on
- A CLI app that calls an LLM through an API
R$ 180US$ 60MX$ 750estimated price0 of 1 module published
- CORE-304Syllabus published
Evaluating AI systems
- Content
- Benchmarks, LLM evals, A/B testing, red teaming
- Hands-on
- Build an eval suite for an application
R$ 240US$ 80MX$ 1,000estimated price0 of 1 module published
Not everything fits into 40 hours. State of the art, distributed training, interpretability, edge deployment and the five integrative projects exist only inside the complete tracks: Tracks