This course is designed for developers and AI enthusiasts who want to master Retrieval-Augmented Generation (RAG) and build smarter, more efficient AI systems.
Upon successfully completing the course, participants will have a solid foundation in RAG principles and practical experience building production-ready RAG applications. You'll learn how to integrate retrieval with generation to create more accurate, scalable, and cost-efficient AI systems.
Note: Due to the experimental nature of our initial class, the following may be subject to change based on feedback. We will coordinate with students regarding any changes.
Instructor
Coach Cindy, engineering leader in machine lerning.
Prerequisites
The class is ideal for developers, data scientists, or AI enthusiasts who are familiar with Python or any other modern programming language. Students should have a basic understanding of programming concepts and a keen interest in AI/ML technologies.
Course Structure and Schedule
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Duration: We will meet from 7 PM to 8 PM PST on Fridays for 4 weeks, starting April 4th, 2025.
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Content Delivery: Live lectures over 4 evenings via Zoom video conference
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Language: English
Course Syllabus
We will cover essential RAG concepts and practical implementations in live lessons, including:
- RAG Fundamentals & Architecture
- Vector Databases and Document Indexing
- Efficient Document Retrieval Systems
- Prompt Engineering for RAG Applications
- Scaling RAG for Enterprise Use
- Final Project Demo
Why This Course Matters
- Future-Proof Your Career – RAG is transforming AI by integrating retrieval with generation, making models more accurate, scalable, and cost-efficient.
- Hands-On Learning – Work on real-world projects, from designing custom retrieval pipelines to fine-tuning LLMs with external knowledge sources.
- Industry-Driven Skills – Learn what top AI teams are using right now in production environments.
Limited seats available—enroll now to stay ahead of the curve in AI innovation!
Tuition
$500
Connect with us and ask questions:
- Join our LinkedIn group
- Follow Coach Ken Lin on LinkedIn for latest updates
- Email us at mingdaoschool@gmail.com
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