Build a RAG system under 20 minutes

Hosted by Dr. Aki Wijesundara

Wed, Jan 14, 2026

10:00 PM UTC (30 minutes)

Virtual (Zoom)

Free to join

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AI Engineering Bootcamp & Certificate
Aki Wijesundara, PhD and Manu Jayawardana
View syllabus

What you'll learn

A practical approach to building a simple RAG system quickly

Understand the core components of retrieval-augmented generation and how they fit together.

How to prepare and index data for retrieval

Learn how to chunk, embed, and store documents effectively.

How to connect retrieval to generation

Wire a retriever to a language model so answers stay grounded in your data.

How to handle common failure modes

Recognize issues like poor retrieval, hallucinations, and irrelevant context.

How to test and iterate on a RAG system

Validate outputs and improve quality without overengineering.

Why this topic matters

RAG is widely used but often overcomplicated. Many implementations fail because the basics are misunderstood or rushed. This session focuses on building a minimal, working RAG system that can be extended later, rather than a fragile proof of concept.

You'll learn from

Dr. Aki Wijesundara

AI Founder | Educator | Google AI Accelerator Alum

Aki Wijesundara is an AI researcher, educator, and founder with a PhD in Machine Learning and experience at Google's AI Accelerator, where he contributed to advancing real-world applications of machine learning and large language models. As Co-Founder of Snapdrum, he helps organizations design, build, and deploy applied AI systems that move beyond prototypes to production-scale impact.

Aki has taught over 5,000+ engineers, founders, and product leaders worldwide how to build production-ready AI systems using LangChain, RAG pipelines, and MLOps frameworks.

He serves as AI Advisor to the United Nations, contributing expertise on responsible AI implementation and policy.

His work bridges cutting-edge research and practical implementation across text, voice, and multimodal AI.

Alongside Snapdrum, Aki serves as CTO of Krybe, an AI voice automation startup, and CTO of Tilli, an edtech company redefining how learners engage with AI-powered education.

Career highlights

  • Ex–Google AI Accelerator researcher focused on responsible AI and applied ML.
  • PhD in AI & Cognitive Systems with published research across top universities.
  • Former researcher with teams affiliated with MIT, University of Oxford, & King’s College London.
  • Co-founder of Snapdrum — delivered AI systems for finance, education, and healthcare.
  • Built and deployed AI product pipelines used by PMs, startups, and enterprise teams.
  • Instructor for multiple AI builder programs, helping 500+ professionals ship AI features fast.


Previous students from

Google
Meta
OpenAI
NVIDIA
Amazon Web Services

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