Function-Calling and Data Extraction with LLMs

DeepLearning.AI is a specialist online education platform founded in 2017 that focuses on practical, industry-relevant training in artificial intelligence and machine learning. Designed for learners at multiple levels, its courses emphasize hands-on projects, clear conceptual foundations and tools commonly used in industry. The platform’s flexible online format makes it accessible to professionals and students worldwide who want to build skills without relocating.

Courses and specializations are structured to help learners develop applied portfolios, with real-world assignments, code notebooks and community review. Collaboration with leading practitioners ensures content remains current with industry practice, and certificate programs help demonstrate competencies to employers. The platform also supports career transitions, offering guidance on interviewing for technical roles and connecting learners with opportunities to showcase their work.

For international learners seeking concentrated, practice-oriented AI education, DeepLearning.AI provides a clear route to upskill quickly and build demonstrable expertise. Its global learner community, modular course design and emphasis on project-based learning make it a pragmatic choice for those aiming to enter research, product or engineering roles in the AI ecosystem.

The Function-Calling and Data Extraction with LLMs program is a non-degree course offered by DeepLearning.AI, taught in English. It teaches students critical skills for building applications with LLMs and lasts several weeks. The program is available online and helps students extend LLMs with custom capabilities.

This course covers function-calling and structured data extraction, using an open-source model fine-tuned for these tasks. Students will learn how to form prompts with function definitions, use LLM responses to call functions, and create complex agent workflows. They will also explore using OpenAPI specifications to build function calls and extract structured data from natural language inputs.

After completing this program, students can pursue careers as AI Application Developers, Data Extraction Specialists, LLM Engineers, Natural Language Processing Specialists, or AI Workflow Designers. They will be able to build advanced AI agents and assistants that can process and analyze customer feedback, automate data entry, and enhance search and recommendation systems.