Building Agentic RAG with LlamaIndex

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.

This program is a non-degree course offered by DeepLearning.AI, taught in English, and lasting several weeks. It's perfect for those who want to learn about building agentic RAG with LlamaIndex, a framework that helps build research agents skilled in tool use, reasoning, and decision-making.

The curriculum covers building the simplest form of agentic RAG, adding tool calling to your router agent, and building a research assistant agent. You'll also learn to extend the research agent to handle multiple documents and develop an autonomous research agent to engage with and analyze your data.

After completing this program, you can pursue careers as a Research Assistant, Data Analyst, AI Engineer, or Machine Learning Specialist. You can work in industries like technology, research, or finance, and potential employers may include companies like LlamaIndex or other AI-focused organizations.