The specialization takes learners from foundational concepts to advanced deployment of agentic AI systems, structured as a clear progression from basics to complex implementations. The first course in the path introduces core LangChain concepts, enabling learners to create and optimize AI chains and build their first smart Q&A bot. The next stage focuses on retrieval-augmented generation and memory systems, where learners gain expertise in document processing, embeddings, and building context-aware AI applications. The final course in the specialization delves into advanced agent architectures and production deployment, covering multi-agent systems, secure deployment practices, and scalable AI solutions. Through this structured pathway, learners develop a comprehensive skill set in designing and deploying intelligent AI systems that can handle complex real-world tasks.
This specialization is based on the course, Agentic AI Systems: Build & Deploy with LangChain/LangGraph, by Paulo Dichone.
Applied Learning Project
Applied practice activities integrated throughout the courses provide structured opportunities for learners to apply key concepts and methods in realistic contexts. Through guided analysis, reflection, and skill application, participants engage with authentic challenges aligned to the subject matter and develop practical competence in solving domain-relevant problems.
