Getting Started

  • Welcome & Overview
  • Logistics & Format
  • Team Participation
  • Prerequisites
  • Setup & Day 0 Checklist

Week 1 — Agentic Cowork Tools

  • Week 1 Overview
  • Week 1 Schedule
  • Week 1 Resources

Week 2 — Agentic Systems

  • Week 2 Overview
  • Week 2 Schedule
  • Week 2 Resources

Week 3 — Deep Learning

  • Week 3 Overview
  • Week 3 Schedule
  • Week 3 Resources

Week 4 — Foundation Models in Research

  • Week 4 Overview
  • Week 4 Schedule
  • Week 4 Resources
ESDS Advanced/Getting Started/Logistics & Format
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Team Participation

Team projects are optional — how teams work, who they are for, and how to use team time to accelerate your own NCICS/NOAA projects.

On this page

    Logistics & Format

    ESDS Advanced launches July 20, 2026 and runs in four weeks: two back-to-back in summer 2026 — the weeks of July 20–24 and July 27–31 — and two in winter 2026–27 (dates TBD). All times are Eastern (ET).

    Register here before the course begins.

    Location & format

    • In person: the Veach-Baley building in Asheville, NC.
    • Remote: live over Zoom (links posted on each week's schedule page), with recordings posted to this site after each session.

    Daily structure

    • Mornings (9:00 AM–12:00 PM ET): instructor-led lectures with hands-on practice. Sessions run 50 minutes with 10-minute breaks between them — see the weekly schedule pages for exact timing.
    • Team time & office hours (1:00–2:00 PM ET, Weeks 1–2): team project time and office hours — teams work together, participants get questions answered, and instructors are on hand for mentoring and practice. Open to everyone; team participation is optional.

    Weekly structure

    The course spans four weeks, one module per week:

    • Week 1 — Agentic Cowork Tools (July 20–24, 2026). LLMs and agents, Claude and Claude Cowork, skills and tools, and Claude Code.
    • Week 2 — Agentic Systems (July 27–31, 2026). REACT loops and harnesses, observability, memory, security, and running agents in production.
    • Week 3 — Deep Learning (winter 2026–27, dates TBD). Architecting, building, training, and tuning deep learning models.
    • Week 4 — Foundation Models in Research (winter 2026–27, dates TBD). Building on the deep learning core: evaluating models, building on other models, and incorporating them intelligibly into research work.

    Each week's schedule page in the sidebar has the day-by-day detail.

    Cost & equipment

    • No cost to NOAA and NCICS participants — compute, cloud resources, and AI usage are covered through a partnership with AWS.
    • You only need a laptop, the ability to install software on it, and an internet connection. See the Setup & Day 0 Checklist for what to install before Day 1.

    Attendance & credit

    • Partial attendance is allowed: Week 1 can be taken on its own; Weeks 2 through 4 each require Week 1 first.
    • There is no pass/fail and no certification — the course is about the capabilities you leave with.

    Getting help

    • Course Slack channels — the primary place for questions, links, and announcements (invitation sent after registration).
    • Office hours — the daily 1:00–2:00 PM team time and office hours session, plus the optional setup session on July 17.
    • Course instructors — reachable on Slack throughout.

    Course content

    This site is the primary dissemination mechanism for the course content. It contains the materials, slides, recordings, and other resources you need to follow along and complete the course. Use the navigation menu on the left to access each section.