Document AI: OCR and Document Intelligence
Intelligent document extraction with OCR 3: text recognition, annotations, tables, document QnA, and batch processing.
16 lessons About 1 h 30 min Developer
What you'll learn
- Call the Mistral OCR API in Python to convert a document into structured text
- Extract tables, headers, and pagination from a document without losing its original structure
- Configure the Annotations API to extract structured metadata, including in batch processing
- Query one or more documents with Document QnA and obtain sourced answers
- Integrate OCR into a RAG pipeline and industrialize the document pipeline in production
Course details
- Who it's for
- Developers, engineers, and integrators looking to leverage Mistral AI via API in their applications.
- Prerequisites
- Ability to read Python and JSON, command line basics. A Mistral AI Studio API key to try the examples.
- Length
- 1 h 30 min · 16 lessons
- Format
- 100% online self-paced course, accessible 24/7 from a browser. Progress saved, resume anytime. Estimated duration: 1 h 30 min.
- Assessment
- Practice exercises proposed throughout the lessons. Each lesson ends with its Key takeaways, supporting self-assessment. A final quiz of 5 corrected questions, at the end of the last lesson, validates acquired skills.
- Accessibility
- Self-paced course accessible to people with disabilities: text content compatible with screen readers, keyboard navigation, and compliant contrasts. For any adaptation needs, email [email protected].
- Price
- Free
- Recognition
- Certificate of completion issued by Corsen AI, verifiable online.
- Syllabus
- Download the syllabus (PDF)