AI Agents in LangGraph

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 AI Agents in LangGraph program is a non-degree course that teaches students to build controllable agents using Python, LLM, and LangGraph. It's an online course taught in English and lasts several weeks. The main advantage of this program is that it helps students create highly controllable agents for various applications.

The curriculum covers building an agent from scratch, implementing the agent using LangGraph, and learning about agentic search. Students will also learn about persistence in agents, human-in-the-loop, and developing an agent for essay writing. They will work on projects that replicate the workflow of a researcher and learn to use agentic search to provide better data for agents.

After completing this program, students can pursue careers as AI Agent Developers, LangGraph Specialists, LLM Application Developers, Agentic Search Engineers, or AI Research Assistants. They can work in industries like technology, education, and research, and can be employed by companies that develop AI applications using LangGraph and LLM.