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[ BOSTON ]NEXT CLASS: EARLY 2027

Hands-on AI class in Boston for people who don't code

In two days, you'll learn to use AI to triage email, clean spreadsheets, summarize documents, do a first-pass document review and generate and test a weekly report. You practice together, in person, on the same provided case files. Not sure yet? Read the free AI guides first. Massachusetts employer? See the employer details.

  • // In-Person, Boston
  • // 20 Seats Max
  • // Two days · Dates to be announced

Practical AI and Workflow Automation for Non-Technical Professionals: 12 instructional hours over two weekdays.

Example of an automation you build in the class: an invoice email arrives in Gmail, Claude reads it and extracts the vendor, amount and due date, logs a row in a Google Sheet, and drafts a reply that waits for your approval.

Lab 1: triage and draft email with AI

Tools you'll use hands-on

Claude and Claude Code. Others are demonstrated.

The Problem

Your team is using AI. You're not sure what they're actually doing with it.

You've sat through the board decks with “AI Strategy” on every slide. You've tried ChatGPT twice and it gave you something you'd never send. You bought a LinkedIn Learning license six months ago and haven't opened it.

Meanwhile, someone ten years younger on your team is producing work in half the time and you can't tell if it's brilliant or dangerous.

The problem isn't that you're behind. It's that every AI learning option was built for someone who isn't you.

What You'll Actually Build

Five labs in two days.
Here are four of them.

  1. Right now

    Reading, sorting and answering email takes a big part of the day, and much of it doesn't need your attention.

    Inbox triage

    After the class

    Using a provided inbox, you practice having an AI assistant sort threads, summarize them, flag action items and draft replies, and you learn to check every draft before it goes out.

    Practiced in Day 1, Hour 4

  2. Right now

    Reports get built by hand every week from the same spreadsheets, the same way, and it takes hours.

    Weekly report

    After the class

    You use a provided starter project and a written specification with an AI coding assistant to generate, test and correct a multi-step weekly report from provided data.

    Built in Day 2, Hour 10

  3. Right now

    Reviewing an agreement takes an afternoon of reading line by line for unfavorable terms.

    Document review

    After the class

    On provided sample agreements you practice AI first-pass review: flag clauses, compare them to a checklist, and learn what AI review cannot do. It is not legal advice.

    Practiced in Day 2, Hour 11

  4. Right now

    You know which tasks repeat, but not which ones are safe and worthwhile to hand to AI.

    Workflow map

    After the class

    You map recurring tasks for a case company using a standard worksheet: trigger, AI step, human review, output, and estimated hours saved.

    Practiced in Day 2, Hours 7 and 8

What This Is

Not another online course you'll never finish

Learn AI Fast is a two-day, in-person AI class in Boston for managers, founders and senior professionals who don't write code. You practice AI workflow automation on provided case files for email, documents, spreadsheets and agreement review. Two days, 20 seats, $1,299 per person. Next class: early 2027, dates to be announced.

This is

  • Two weekdays, in person, with an instructor who works with AI tools every day
  • Practice on sample files, so everyone works on the same exercises
  • A room of up to 20 professionals, all working through the same labs
  • Two days of live teaching and guided practice
  • Where AI gets things wrong, and how to catch it

This is not

  • A lecture where someone explains what a neural network is
  • A certification to put on your LinkedIn
  • A Zoom call where you mute yourself and check email
  • A self-paced course with homework you'll never do

Beyond the Automations

What else you walk away with

01

A framework that works on any AI tool

The CRAFT framework gives you a repeatable system for getting good output, whether you're drafting a memo, analyzing data or writing a client message.

02

Know which tool to reach for

You'll use Claude and Claude Code hands-on, see other tools demonstrated, and learn when to use one over another.

03

The judgment to check AI work

You'll know how to tell whether AI output is good, how to improve the prompt, and where to draw the line on what is safe to automate.

04

A way to design AI workflows

Trigger, AI step, human review, output, plus a worksheet for estimating hours saved, which you can reuse on any task.

05

Practice in a room, not a recording

The instructor is in the room while you work through every lab, so a weak prompt gets corrected on the spot.

06

Optional take-home worksheets

Blank templates for putting what you learned to work at your own company afterward.

[ The Curriculum ]

Two Days.
Real Tools.
Working Automations.

Day 1: get hands-on with AI assistants, and practice email, documents and spreadsheets.
Day 2: design workflows, generate and test a weekly report, review documents with AI, and learn where AI goes wrong.
Two days, 9:00 AM to 4:30 PM, with a lunch break. Everyone works on the same sample files.

Highlight
[ 01 ]9:00 AM - 4:30 PM

Foundations and Everyday Automation

Prompting, AI agents, email, documents and spreadsheets, all with the same provided practice files. Laptop and account check from 8:15 AM, before class starts.

  1. [Hour 1 · 9:00 AM]Strategy

    How Modern AI Assistants and Agents Work

    What a large language model is, what it does well and badly, and how today's assistants and agent tools differ. Claude and Claude Code are used hands-on; others are demonstrated. Tool landscape, permissions and safe settings. We check that every laptop and account is ready.

  2. [Hour 2 · 10:00 AM]Framework

    The CRAFT Prompting Framework

    A repeatable way to get reliably good output from any AI tool: Context, Request, Alternatives, Feedback, Transfer. The whole room takes the same weak prompt for a board-update memo to a strong one, live.

  3. [Hour 3 · 11:15 AM]Tools

    AI Agents and Automation Concepts

    How an agent carries out multi-step work, what tool use and permissions mean, and where a human must approve. The instructor builds a working automation from a plain-English description so you see what is possible before the labs.

  4. Lunch break
  5. [Hour 4 · 1:15 PM]Workshop

    Lab 1: Email Triage and Drafting

    Everyone works the same provided inbox from a fictional company: sort and summarize threads, flag action items, draft replies, and check every draft before it would be sent.

  6. [Hour 5 · 2:15 PM]Workshop

    Lab 2: Documents and Files

    Summarize a provided meeting transcript and project folder, pull out decisions and action items, and generate a status update.

  7. [Hour 6 · 3:30 PM]Workshop

    Lab 3: Spreadsheets

    On a provided sales workbook: clean messy data, generate formulas from plain English, run a short analysis with AI, and verify the numbers before trusting them.

[ 02 ]9:00 AM - 4:30 PM

Workflow Design, Review and Responsible Use

Design workflows, build one automation, review documents, and learn where AI goes wrong.

  1. [Hour 7 · 9:00 AM]Framework

    AI Workflow Design

    The pattern behind every useful automation: trigger, AI step, human review, output. A standard worksheet shows how to estimate hours saved. Example workflows are provided.

  2. [Hour 8 · 10:00 AM]Workshop

    Case Study: Map the Workflows

    The same case company for everyone. Map three recurring tasks, decide which to automate and which to leave alone, and critique each other's maps with the instructor.

  3. [Hour 9 · 11:15 AM]Tools

    Research with AI, and Checking It

    Build a short research brief on a provided scenario with AI search tools, then check every claim and citation against its source. Learn the habits that catch invented facts.

  4. Lunch break
  5. [Hour 10 · 1:15 PM]Workshop

    Lab 4: Generate and Test a Weekly Report

    Use a provided starter project and a written specification with an AI coding assistant to generate, test and correct a multi-step weekly report from provided data. The instructor demonstrates first.

  6. [Hour 11 · 2:15 PM]Workshop

    Lab 5: First-Pass Document Review

    On provided sample agreements, flag risky clauses, compare terms against a provided checklist, and learn what AI review cannot do. It is a first pass, not legal advice.

  7. [Hour 12 · 3:30 PM]Strategy

    Responsible AI, Policy and Wrap-Up

    Hallucinations, confidentiality and what never goes into an AI tool, bias, and the core elements of a workplace AI-use policy, with a generic template. A short pilot, measure, scale framework and a recap.

Your Instructor

RTBOS · 42.36°N

Randy Torres

Founder, Roviq · Boston

Randy Torres is the founder of Roviq LLC in Boston and teaches both days of the class himself.

  • Boston-Based

In the room

Two days, in person, hands on a keyboard

Illustration: a long workshop table set with open laptops, black workbooks and coffee cups in a bright brick room with city views.Illustration
A room of up to 20 professionals
Illustration: a coffee station with a pour-over carafe, cups and a board of croissants and fruit.Illustration
Breaks between sessions
Illustration: a laptop showing a spreadsheet next to a code window, beside a notebook with a hand-drawn flowchart.Illustration
Bring your laptop and a power adapter.
Illustration: a whiteboard sketch of an automation, an envelope feeding a process box that branches to a spreadsheet and a reply.Illustration
Design end-to-end workflows: trigger, AI processing, human review, output.

Illustrative images, not photos of the venue or a past cohort. Venue details, parking info and everything you need arrive in the logistics email one week before the class.

Why In-Person

Five things no online course can replicate

You've tried the self-paced route. Here's why 20 people in a room for two days produces results that a screen never will.

  1. 01

    Real-time correction

    The instructor sees a weak prompt the moment you write it and corrects it before it becomes a habit.

  2. 02

    Everyone on the same material

    The whole room works on the same provided case files, so the instructor can compare approaches, show what went wrong, and answer questions everyone shares.

  3. 03

    Two focused days

    Two weekdays, 9:00 AM to 4:30 PM, with a lunch break.

  4. 04

    Hands-on, not a lecture

    Most of the time is spent using the tools on exercises, with the instructor demonstrating first and leading each step.

  5. 05

    A fixed price and curriculum

    One tuition price covers the instruction. What you learn is written down in the curriculum on this page before you pay.

Is This Right For You

Built for people who do real work. Not tech hobbyists.

This is for you if:

  • You manage people or run a business and want to automate the repetitive parts of your week
  • You've heard of AI tools but don't know which ones matter or how to actually set them up
  • You review contracts, vendor agreements, or NDAs and want a faster first pass
  • You've been told to 'figure out AI' for your team or organization and want to start with solid skills
  • You tried ChatGPT, got underwhelmed, and figured AI wasn't for you yet

This is not for you if:

  • Software engineers or data scientists who want to build ML models
  • Anyone whose main goal is a certificate for their resume. There is no certificate
  • People who already use AI agents daily and build their own automations
  • People who prefer self-paced online learning (if that works for you, save the money)

[ 03_INVESTMENT ]

Two days.
One price.

[ 20 SEATS PER CLASS ]
$1,299

per person

Practical AI and Workflow Automation for Non-Technical Professionals: 12 instructional hours over two weekdays.

  • Two days in person in Boston, 9am to 4:30pm
  • Hands-on practice with email, documents and spreadsheets
  • Build a simple automation

Tools you'll use hands-on: Claude and Claude Code. Others are demonstrated.

A paid AI assistant account is required. Tuition does not include it.

[ Get details ]

20 seats per class · Early 2027

Massachusetts employer? Ask us about Workforce Training Fund reimbursement.

[ Get details → ]

Common Questions

Before you decide

Stop reading about AI.
Start using it.

Two days of hands-on practice with the AI tools your work already touches.

  • Boston, MA
  • Next class: early 2027, dates to be announced
  • 20 Seats Max
Get details

Questions? Email randy@roviqai.xyz

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