vBrownBag

vBrownBag
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vBrownBag.com is a community of people who believe in helping other people. Specifically we work in IT infrastructure and we help other people in the IT industry to better their careers through education. Most frequent activity is producing the vBrownBag podcast. vBrownBag also attends global conferences to produce TechTalks and theater sessions.

  1. 13 h fa ·  Video

    Responsible AI with Amazon Bedrock

    Join us as Faye Ellis breaks down what responsible AI actually looks like in practice on Amazon Bedrock - live demos included, straight from her prep for the AWS Generative AI Developer Professional certification. Faye walks through the NIST AI risk framework's core characteristics of trustworthy systems, then demos two hands-on builds: a RAG pipeline using S3 Vectors as a low-cost knowledge base, and Bedrock Guardrails blocking financial advice, prompt injection attacks, and sensitive information in real time. You'll learn the difference between prompt engineering and guardrails, how contextual grounding checks catch hallucinations before they reach a user, why data cleaning and deduplication matter as much for cost and sustainability as for bias, and what Faye wishes she'd known going into one of AWS's hardest professional-level exams. Timestamps 0:00 Welcome & Introduction 9:28 What Makes an AI System Trustworthy - The NIST Framework 15:19 Famous AI Failures - From ChatGPT Code Leaks to Biased Systems 22:56 Building RAG with Bedrock Knowledge Bases and S3 Vectors 26:29 Live Demo - Setting Up RAG with S3 Vectors 31:19 Prompt Engineering and Bedrock Prompt Management 34:46 What Are Bedrock Guardrails and How They Work 41:22 Live Demo - Blocking Financial Advice, Jailbreaks, and PII 53:00 Preparing for the AWS Generative AI Developer Professional Exam 59:04 Resources and Wrapping Up How to find Faye: https://www.linkedin.com/in/fayeellis/ https://app.pluralsight.com/profile/author/faye-ellis Links from the show: https://aws.amazon.com/bedrock/ https://skillbuilder.aws/ https://aws.amazon.com/certification/

  2. 13 lug ·  Video

    AI Observability: What Could Possibly Go Wrong?

    Join us as John Mark Troyer and Rakesh Gupta break down what AI observability actually means once agents leave the demo and hit production - and why the old playbook for monitoring doesn't cut it anymore. John Mark and Rakesh walk through why errors and latency are just the starting point for agents, how quality became a much harder thing to measure once bots went from answering questions to taking autonomous action, and why token-based costs are creating a confusing new economics problem for engineering teams. You'll learn the difference between online and offline evals, why a new engineering role has emerged just to build testing harnesses for agents, how trace data works differently when every prompt is its own trace, and what teams are doing to catch prompt injection and other AI-specific failure modes before they become expensive mistakes. Timestamps 0:00 Welcome & Introduction 3:20 Full Disclosure - Observe, Snowflake, and How This Conversation Started 7:07 From Developer Concerns to Boss's Boss's Boss - Spending Out of Control 8:29 What Actually Gets Measured - Errors, Latency, Quality, and Cost 10:30 The Casino Chip Problem - Confusing Token Pricing Models 13:47 Defining Quality When the Task Itself Is Nebulous 18:41 The New Role - Engineers Who Just Build Testing Harnesses 22:00 Non-Determinism and Why Testing Agents Is Expensive 32:10 Trace Data, Tool Calls, and What Observability Tools Actually See 55:08 Prompt Injection, Zero-Width Characters, and Real World Failures How to find John Mark: https://www.linkedin.com/in/johnmarktroyer/ How to find Rakesh: https://www.linkedin.com/in/rg0/ Links from the show:

  3. 10 lug ·  Video

    Learning New Skills and Languages in the AI Era

    Join us as Bob Belderbos breaks down how to actually learn new skills and languages in a world where AI can write the code for you before you've even finished the thought. Bob shares why he taught himself Rust the hard way, how keeping deliberate friction in your learning process protects you from skill atrophy, and why AI is incredible at explaining concepts but dangerous as a crutch for understanding them. You'll learn the difference between using AI to explain versus using it to do, how to structure a project-based learning path with tests as your guide, why coding autocomplete might be quietly hollowing out your skills, and how his Python and Rust cohorts are teaching professional engineers to use agents without losing ownership of their code. Timestamps 0:00 Welcome & Introduction 1:09 Bob's Background - From VBA to Python to Rust 4:39 Why Learn Rust When Python Already Works 11:43 AI as a Learning Assistant vs. a Socratic Teacher 12:30 The Slot Machine Problem - Agents and Skill Atrophy 17:24 Working Outside Your Expertise - The Fast LED Story 27:02 Structuring Prompts That Actually Teach You Something 33:56 Teaching Agentic AI in Production - The Expense Classifier Cohort 36:07 Autocomplete, Copilot, and the Line Between Helping and Hollowing Out 44:03 AI Slop, Coauthorship, and the Anti-Slop Engineer 53:49 What's Next - Rust, Haskell, and Bob's Upcoming Cohorts How to find Bob: https://www.linkedin.com/in/bbelderbos/ https://belderbos.dev/ Links from the show:

  4. 6 lug ·  Video

    Getting Started with Local AI (2/3)

    Join us as Du'An digs into the real mechanics of running AI locally and in production - from GPU memory math to multi-agent architectures, observability, and the economics of self-hosted inference. Du'An walks through how model weights and KV cache compete for GPU memory, why continuous batching matters when you have more than a handful of users, and how agent architectures like single-agent, workflow, graph, swarm, and supervisor patterns each solve different problems. You will learn how to instrument your agents with Langfuse for observability and cost tracking, when to use Ollama versus vLLM, how prompt caching can cut provider costs by up to 75%, and why GPUs should never sit idle. Episode two of three - the next episode covers deploying at scale. Timestamps 0:00 Welcome & Introduction 1:47 Du'An's New Role at Akamai Cloud 3:10 Data Privacy and the Case for Self-Hosted AI 7:21 Anthropic and OpenAI as the New Cloud Layer 12:48 Local Models for Specific Use Cases - Cancer Detection Example 15:02 GPU Memory Math - Weights, KV Cache, and Context Windows 19:32 Continuous Batching and GPU Time Slicing 20:03 Observability with Langfuse - Live Demo 27:44 Agent Architectures - Single Agent, Workflow, Graph, Swarm, Supervisor 36:36 Token Economics, Prompt Caching, and GPU Cost Planning 45:32 Ollama vs vLLM - Prototyping vs Production How to find Du'An: https://duanlightfoot.com https://www.linkedin.com/in/duanlightfoot/ Links from the show: https://langfuse.com/ https://github.com/akamai-developers/akamai-workshop-solution-architect-agent https://amzn.to/4bvHn1p https://vllm.ai/

  5. 26 giu ·  Video

    AI (for Normal People) with AWS Hero Thorsten Hoger

    Join us as Thorsten breaks down how everyday people - small business owners, retirees, hobbyists, and anyone who isn't a developer - can use AI to get real things done without writing a single line of code. Thorsten runs an AI roundtable for small and medium businesses in Germany and shares hands-on use cases from his own life and clients: a family recipe database built entirely on a mobile phone, 13 months of fitness data analyzed into actionable coaching, a personal AI project manager that reads his calendar and meeting transcripts, and real-world implementations for a dental practice and a tax advisory firm. You will learn how to think about AI as a team you never had, why prompts are the new apps, how to handle privacy and data regulations, and how to start this week with just one task. Timestamps 0:00 Welcome & Introduction 5:17 Who Is Thorsten and What Is Normal People AI 8:51 The Recipe Database Use Case 16:46 Fitness Tracking and Personal Coaching 22:27 Building an AI-Powered Personal Project Manager 34:23 Using Fireflies and MCP for Meeting Intelligence 41:14 Real Business Use Cases - Dental Practice and Tax Advisory 44:27 Privacy, GDPR, and When to Use Local Models 47:06 Getting Started - One Task This Week How to find Thorsten: https://www.linkedin.com/in/hoegertn/ Links from the show:

  6. 15 giu ·  Video

    Agentic AI: In The Real World

    Join us as Dave walks through what it actually takes to build custom AI agents from scratch - not theory, but real projects he has shipped for his family, his work, and his community. Dave shares how he used Kiro and Claude to solve real problems: normalizing flood-damaged library inventory data, automating AWS well-architected review collateral, building a room-cleaning task agent for his 12-year-old, planning family menus with Apple Calendar integration, and post-processing live concert recordings. You will learn how agents reason and take action, when to reach for a Kiro power versus a simpler automation, how MCP servers connect agents to real-world tools, and practical strategies for keeping agents accurate without burning through tokens. Timestamps 0:00 Welcome & Introduction 7:57 Dave's Background and How He Got Started with Agents 13:00 The Library Flood Story - First Real-World Agent Use Case 16:00 AWS Well-Architected Review Automation 17:09 What Are Kiro Powers and MCP Servers? 22:13 Kiro Pricing and Bedrock Integration 28:13 Live Demo - Room Cleaning Agent with AWS Rekognition 41:24 Family Meal Planning and Apple Calendar Integration 44:27 Automating Live Concert Recording Post-Processing 52:31 Getting Started - Dave's Recommendations for Beginners How to find Dave: https://www.linkedin.com/in/dave-stauffacher/ Links from the show: https://kiro.dev/

  7. 9 giu ·  Video

    How to get to AWS re:Invent FOR FREE

    Join us as Dale Orders (AWS Community Builder, four-time All Builders Welcome participant from Australia) walks through everything you need to know about getting to AWS re:Invent completely free - flights, hotel, conference pass, and more. Dale shares her personal journey from being rejected the first time to attending four AWS conferences through the All Builders Welcome grant program, including two as a mentor. You'll learn the exact eligibility criteria, what the grant actually covers (flights, accommodation, Uber vouchers, a prepaid Visa card, and a free AWS exam voucher), how to write an application that stands out, and the one thing that will get yours rejected immediately. Dale also covers what happens after you're accepted, how to handle the visa process if you're outside the US, and a full list of other tech conference grant programs beyond AWS. Applications typically open in late June - this episode is your head start. Timestamps 0:00 Welcome & Introduction 4:11 What is the All Builders Welcome Program? 8:03 Dale's Journey: Rejected Once, Accepted Four Times 11:07 Eligibility Criteria & Who Should Apply 15:49 The #1 Thing That Will Get Your Application Rejected 16:03 Everything the Grant Actually Covers 17:42 How to Apply & Timeline 18:41 Writing a Winning Application 35:18 Visa Process Warning: Don't Ignore This 38:41 Other Tech Conference Grant Programs & Wrap-up How to find Dale: https://www.linkedin.com/in/dale-orders/ Links from the show:

  8. 9 giu ·  Video

    How to get to AWS re:Invent FOR FREE

    Join us as Dale Orders (AWS Community Builder, four-time All Builders Welcome participant from Australia) walks through everything you need to know about getting to AWS re:Invent completely free - flights, hotel, conference pass, and more. Dale shares her personal journey from being rejected the first time to attending four AWS conferences through the All Builders Welcome grant program, including two as a mentor. You'll learn the exact eligibility criteria, what the grant actually covers (flights, accommodation, Uber vouchers, a prepaid Visa card, and a free AWS exam voucher), how to write an application that stands out, and the one thing that will get yours rejected immediately. Dale also covers what happens after you're accepted, how to handle the visa process if you're outside the US, and a full list of other tech conference grant programs beyond AWS. Applications typically open in late June - this episode is your head start. Timestamps 0:00 Welcome & Introduction 4:11 What is the All Builders Welcome Program? 8:03 Dale's Journey: Rejected Once, Accepted Four Times 11:07 Eligibility Criteria & Who Should Apply 15:49 The #1 Thing That Will Get Your Application Rejected 16:03 Everything the Grant Actually Covers 17:42 How to Apply & Timeline 18:41 Writing a Winning Application 35:18 Visa Process Warning: Don't Ignore This 38:41 Other Tech Conference Grant Programs & Wrap-up How to find Dale: https://www.linkedin.com/in/dale-orders/ Links from the show:

Elenco completo (83)

Descrizione

vBrownBag.com is a community of people who believe in helping other people. Specifically we work in IT infrastructure and we help other people in the IT industry to better their careers through education. Most frequent activity is producing the vBrownBag podcast. vBrownBag also attends global conferences to produce TechTalks and theater sessions.

Informazioni

  • Creatore
    vBrownBag
  • Anni di attività
    2011 - 2026
  • Puntate
    83
  • Classificazione
    Contenuti espliciti
  • Sito web del podcast
    vBrownBag

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