RAG and Agentic AI Capstone Project
Completed by Yeng-Long Chen
April 20, 2026
14 hours (approximately)
Yeng-Long Chen's account is verified. Coursera certifies their successful completion of RAG and Agentic AI Capstone Project
What you will learn
Demonstrate you have the job-ready skills to design and implement a complete AI system from data to deployment.
Transform unstructured text and multimodal data into structured JSON formats using LLMs to drive data-driven decision-making.
Architect multimodal vector databases and multi-agent systems to coordinate specialized agents for high-accuracy recommendations.
Integrate complex AI ecosystems using MCP, configuring servers and clients to build, validate, and scale tool-augmented agents.
Skills you will gain
- Category: Agentic Workflows
- Category: Retrieval-Augmented Generation
- Category: Embeddings
- Category: JSON
- Category: Large Language Modeling
- Category: Unstructured Data
- Category: Multimodal Prompts
- Category: LLM Application
- Category: Generative AI
- Category: AI Workflows
- Category: AI Orchestration
- Category: Generative AI Agents
