Introduction to Bedrock on AWS

Hosted by Dr. Aki Wijesundara

Sat, Jan 17, 2026

10:00 PM UTC (30 minutes)

Virtual (Zoom)

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AWS Fundamentals for Building AI Systems
Aki Wijesundara, PhD and Manu Jayawardana
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What you'll learn

What Amazon Bedrock is and when to use it

Understand where Bedrock fits in the AWS ecosystem and when it’s the right choice.

How Bedrock differs from calling models directly

Learn how managed models, security, and governance change deployment decisions.

How to select and use foundation models in Bedrock

Compare model options based on cost, capability, and use case.

How teams deploy Bedrock safely in production

See common patterns for access control, monitoring, and scaling.

Why this topic matters

Many teams adopt GenAI on AWS without understanding the tradeoffs between flexibility, cost, and control. Bedrock simplifies access to powerful models, but only if teams understand how it fits into real production architectures. This session focuses on practical usage, not cloud marketing.

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
Amazon Web Services
NVIDIA
OpenAI

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