AI Con USA 2026 - DevOps
Customize your AI Con USA 2026 experience with sessions covering DevOps.
Monday, June 8
Human in the Loop
New"We love AI and use it for everything we do!" "We hate AI and will NEVER use it for anything ever, I swear to god!" Which camp are you in? This will be a question that will come up over and over in 2026 and beyond. If you use AI for EVERYTHING and think you can be mistaken for AI…has AI not already taken your job? We all need to get INTENTIONAL about our stance in the AI-verse. Have you thought deeply about what is a good activity for AI to lead on and what should be uniquely human? We are already seeing a premium price tag on in-person, uniquely human-to-human experiences, and this will...
Model Context Protocol Fundamentals
NewTired of staring at the chat box of an AI assistant wishing it could actually do a task for you rather than just telling you what to do? Model Context Protocol (MCP) is the glue between an AI agent and your data and tools. With MCP, AI assistants can read your documents, conversations, and other context and take action for you by sending emails, submitting tickets and more. But what really is MCP and how do you use MCP servers safely in practice as part of your day-to-day workflow? This half-day course introduces MCP and dives into practical use cases. Laurel will walk you through how to...
A Quality Engineering Introduction to AI and Machine Learning
Although there are several controversies and misunderstandings surrounding AI and machine learning, one thing is apparent — people have quality concerns about the safety, reliability, and trustworthiness of these types of systems. Not only are ML-based systems shrouded in mystery due to their largely black-box nature, they also tend to be unpredictable since they can adapt and learn new things at runtime. Validating ML systems is challenging and requires a cross-section of knowledge, skills, and experience from areas such as mathematics, data science, software engineering, cyber-security,...
Build Your Own AI News Agent with Redis + LangGraph.js.
NewTired of sifting through endless news sources and missing the topics you care about? This hands-on workshop empowers you to build a personalized AI news assistant using Redis and LangGraph.js. You’ll learn to ingest articles from RSS feeds, summarize and analyze them, extract structured data, and generate embeddings—all stored in Redis for powerful hybrid (vector + structured) search. Your agent will provide a web interface for browsing and semantic search, and even chat with you about current events, retrieving relevant articles and metadata using RAG techniques. LangGraph.js orchestrates...
Tuesday, June 9
Prompt Engineering for Software Practitioners
With the sudden rise of ChatGPT and large language models (LLMs), practitioners are using these tools for all aspects of engineering. This includes leveraging LLMs for creating software artifacts such as requirements documents, source code, and tests; reviewing them for issues and making corrective suggestions, and analyzing or summarizing results or outcomes. However, if LLM's are not fed good prompts describing the task that the AI is supposed to perform, their responses can be inaccurate and unreliable. Join Tariq King as he teaches you how to craft high-quality AI prompts and...
AI-Assisted Development: Supercharge Your Coding with GitHub Copilot and More
The world of software development is rapidly evolving, and AI-powered tools are leading the charge. Generative AI tools like GitHub Copilot, Cursor, and Continue are revolutionizing how we code by offering intelligent code suggestions, complete function generation, and other advanced features that streamline the development process, improve code quality, and significantly boost developer productivity. In this hands-on workshop, Jeffery Payne will guide you through leveraging these powerful tools to accelerate your coding, reduce errors, and unlock new levels of creativity. Learn how to...
Agentic AI: From Rules to Reasoning
NewAI agents have existed for decades, but generative AI has fundamentally changed what agents can do and how they are designed and built. Come and explore the evolution of AI agents across two major waves. First, learn the foundations of Agentic AI through agents built using rules, heuristics, and traditional machine learning, examining where these approaches excel and why they struggle with complexity, ambiguity, and scale. Then dive into the second wave of agents powered by generative AI and multimodal large language models. These modern agents can reason, plan, use tools, and interact...
Vibe-Coding a Business: Using AI to Rapidly Build, Test, and Validate Real Products
NewAI has fundamentally changed how quickly new businesses can be created. With modern, high-end models, individuals and teams can now move from a raw idea to a functioning product, market narrative, sales motion, and operating loop in days rather than months. The challenge is no longer whether AI can generate assets—it’s how to use AI intentionally across the entire business lifecycle to produce outcomes that are relevant, credible, and sustainable. In this hands-on tutorial, Jason Arbon leads participants through a practical, end-to-end approach to “vibe-coding” a business using AI. The...