Functions, Tools and Agents with LangChain

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 Functions, Tools and Agents with LangChain program is a non-degree course taught in English, suitable for students with a pre-high school education level. It is an online program offered by DeepLearning.AI in California, United States, and runs for several weeks. This course helps students explore new advancements in LLMs and build conversational agents using LangChain Expression Language.

The curriculum covers topics such as function calling capability, LangChain Expression Language, and building applications using LCEL. Students will learn to generate structured output, apply function calling to tasks, and understand tool selection and routing using LangChain tools. They will also practice customizing chains and agents using LCEL.

After completing this program, students can pursue careers as Conversational AI Developers, Natural Language Processing Engineers, AI Researchers, or Software Developers. They can work in industries such as technology, customer service, or finance, and with employers like tech companies or research institutions. Students will be able to build and improve applications using the latest advancements in LLMs.