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Free · August 3–4, 2026

AI didn't make
your job obsolete.
Not deploying it did.

The deployment economy is the shift from AI as a tool to AI as a workforce. Companies are replacing functions, not just features. The professionals who own this transition own the next decade. bootload.ai is where that starts.

📅
August 3–4, 2026 — Two days. Six sessions.
⏰
8:00 AM – 12:00 NN PHT  ·  8:00 PM – 12:00 MN EST
🌐
Live on Zoom — Open to professionals globally
🎯
500 seats — No cost to attend
Practising in AI? We are building our instructor faculty →
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2
Days Live
6
Sessions
500
Seats Maximum
$0
Cost to Attend
01 — The Market Condition

The window
is open now.

AI adoption has outpaced AI talent at an accelerating rate. The professionals who close that gap now — with real deployments, not theory — will command a premium that only widens from here.

30–50%

Wage Premium

AI-literate professionals command 30–50% higher compensation than equivalent non-AI roles. The premium grows as demand continues to exceed available talent.

0.3%

Can Deploy Agents Today

Fewer than 1 in 300 members of the global workforce can build and deploy an AI agent in a real business context. That scarcity is the opportunity.

40%

Enterprise Apps Adding AI

40% of enterprise applications will embed AI agents by end of 2026. Each deployment needs a qualified human to manage and improve it. That role does not yet have an established talent pipeline.

20M

Retraining in 3 Years

Twenty million workers are projected to undergo AI skills retraining within three years. The question is not whether to act, but whether to act before or after the window narrows.

02 — The Model

Two outcomes.
One programme.

Most professional development asks you to choose between becoming more valuable to an employer, or building something of your own. bootload.ai is structured around the insight that this is a false choice. Your employer is your first client. Your portfolio belongs to you.

A
Track A — Professional Value

Build Your Value at Work

Deploy AI into your current role and those around you. Automate meaningful workflows. Become the professional who makes AI function inside a real organisation — not just discuss it.

B
Track B — Ownership

Build Your Own AI Company

Every deployment you build in your professional context becomes a portfolio asset. Stack proven work. Position yourself as a practitioner. Arrive at any employer — or any client — with evidence, not credentials alone.

03 — Professional Progression

Where does the
market place you?

The market for AI professionals has developed a clear hierarchy. Level 1 is now the minimum viable position. The bootload.ai Foundation Course moves participants from their current level to Level 3 — with a verifiable portfolio of deployed work to demonstrate it.

1
Efficient Professional

Uses AI Productively at Work

Applies AI tools to improve individual output. The new professional baseline. Positions below this threshold are increasingly difficult to justify in competitive hiring markets.

2
Agent Builder

Builds Autonomous Systems for Their Role

Constructs AI agents that operate independently within their domain. The output of several roles distilled into one capable practitioner. Materially difficult to replace, and consistently in demand.

3
Systems Thinker

Builds AI Infrastructure for the Organisation

Operates with cross-functional visibility. Capable of automating an entire team's function. Multiple production deployments. The highest-value hire in any organisation undergoing AI adoption.

4
Agent Owner

Arrives with a Pre-Built Deployment Portfolio

Enters any engagement with a proven suite of AI agents ready to adapt and deploy. Commands full professional optionality. Zero onboarding friction. Irreplaceable from the first interaction.

04 — Programme Structure

Three products.
One progression.

The bootload.ai programme is a deliberate two-step pathway. The free Masterclass opens the door. The Foundation Course builds the portfolio. The Fellowship opens to graduates on September 24. Every stage produces tangible, deployable work.

Free to Attend

2-Day Masterclass

August 3–4, 2026
$0
No charge · 500 seats globally
  • 6 live sessions across 2 days
  • AI landscape, deployment mindset, and dual-track framework
  • Prompt engineering, visual AI, workflow automation
  • Delivered by active practitioners — not academics
  • Recording issued to all registered participants
Reserve a Place
Founding Cohort Price

Foundation Course

September 13–26, 2026
$97
Rises to $297 from Cohort 2 onwards
  • 10 live sessions — Monday through Friday, 2 weeks
  • Each session concludes with a deployable portfolio output
  • 8AM–12NN PHT / 8PM–12MN EST
  • 30 seats maximum — Cohort 1
  • Masterclass participants receive priority access
Register Free to Secure Priority
Foundation Graduates Only

6-Month Fellowship

Intake announced September 24, 2026
Waitlist
Open to Foundation Course graduates
  • Advanced agent architecture and live client deployment
  • Business development, positioning, and revenue model
  • Agency operations and team structure
  • Cohort accountability and mentorship access
  • Dates and pricing announced September 24 to Foundation graduates
Complete the Foundation Course to Qualify
05 — Curriculum Detail

What you will
actually build.

Each session in the Foundation Course is designed to conclude with a deployed, portfolio-ready output. Participants complete the programme with 10 verifiable deployments — not slides, not theory, not certificates of completion.

D1
The Deployment Economy — AI Landscape & the Dual-Track Model
August 3 · 8:00–8:50 AM PHT · Why deployment distinguishes professionals, and why both tracks run simultaneously
Course Director
D1
Prompt Engineering at Production Scale
August 3 · 9:00–10:00 AM PHT · Consistent, repeatable output from any LLM — live demonstration
Practitioner
D1
Visual AI — Commercial-Grade Output in Practice
August 3 · 10:15–11:15 AM PHT · Images, design, and presentation-grade visuals — end to end in 60 minutes
Practitioner
D2
Voice, Video & Content AI at Scale
August 4 · 8:00–9:00 AM PHT · Content production pipelines — built live during the session
Practitioner
D2
Workflow Automation & Agent Architecture
August 4 · 9:15–10:15 AM PHT · Autonomous systems that operate independently — real business context
Practitioner
D2
Your Deployment Roadmap — From Today to a Portfolio
August 4 · 10:30–11:20 AM PHT · Structuring your progression. The $97 Foundation Cohort opens.
Course Director
01
AI Architecture — Building Your Professional Deployment Stack
September 13 · Establish your operational AI toolkit. Every tool selected for business-grade deployment, not experimentation.
Deploy: Your AI Stack
02
Advanced Prompting — Production Consistency Across Any LLM
September 14 · System prompts, chaining, retrieval-augmented generation. Repeatable, reliable output at professional standard.
Deploy: Prompt Library
03
Custom AI Assistants & Intelligent Agents
September 15 · Build and deploy a bespoke AI assistant or agent against a real business use case. Live build throughout.
Deploy: Live Assistant
04
Visual AI — Design, Imagery & Presentation at Scale
September 16 · Studio-quality visual output using current practitioner tools. Output that performs in professional contexts.
Deploy: Visual Portfolio
05
Voice, Video & Content Production Systems
September 17 · Build a repeatable, AI-driven content pipeline. Scalable output at a fraction of conventional cost and time.
Deploy: Content Pipeline
06
Workflow Automation — Zapier, Make & n8n at Work
September 20 · Multi-tool automation deployed against a live business workflow. Real trigger conditions, real outcomes.
Deploy: Live Automation
07
AI Agents — Autonomous Systems in Production
September 21 · Agentic loops, tool-use, and real-world triggers. A system that monitors, decides, and acts without intervention.
Deploy: Production Agent
08
Data Intelligence & Research Automation
September 22 · AI-driven competitive intelligence and research pipelines. From raw data to strategic insight, automatically.
Deploy: Research System
09
AI for Business Operations & Decision Architecture
September 23 · CRM intelligence, operational reporting, and decision support. End-to-end deployment into a business function.
Deploy: Ops System
10
Portfolio Review, Positioning & Agency Company Launch
September 24 · Present your 9 portfolio outputs. Define your AI agent company. Fellowship applications open.
Deploy: Your Company
—
Available to Foundation Course Graduates
Fellowship dates and intake capacity are confirmed following the conclusion of Cohort 1 on September 24, 2026.
Announced September 24
Months 1–2

Build

Advanced agent architecture against real client projects. Production-grade systems with documented, measurable business outcomes.

Months 3–4

Scale

Systems thinking and operational leverage. Package individual deployments into replicable, scalable service offerings for multiple clients.

Months 5–6

Own

Client acquisition, revenue model, and agency operations. Graduate with a live AI business — structured, positioned, and generating revenue.

06 — Differentiation

Most programmes
issue certificates.

bootload.ai is structured around deployment outcomes, not content consumption. The comparison below reflects the substantive differences between this programme and the primary alternatives in the market.

ProgrammePriceLive CohortPortfolio OutputsDual-Track ModelDeployment-Led
bootload.ai Foundation$97✓ Live✓ 10 verified✓ Structural✓ Every session
Outskill AI Generalist$500–1,200✓ LivePartial✗Partial
TESDA AI CoursesFreeSelf-paced✗✗✗
Coursera / Udemy$15–50Async only✗✗✗
Section School$500–2,000✓ LivePartial✗Partial
07 — Faculty

Active practitioners.
Not a fixed syllabus.

Every bootload.ai instructor is required to have AI systems running in production in their own practice before teaching a single session. They are not lecturing from a curriculum. They are showing you what they do today — for real clients, in real commercial contexts. When you watch your instructor build something live, you are watching their actual work.

CD

Course Director

Programme Lead · Sessions 1 & 10

Leads the opening and closing sessions. Responsible for the dual-track framework and the overall programme architecture.

—

Prompt Engineering

Sessions 2 · Foundation Course

Announcement Forthcoming

—

Visual AI

Session 4 · Foundation Course

Announcement Forthcoming

—

Automation & Agents

Sessions 6–7 · Foundation Course

Announcement Forthcoming

08 — Community

$20 per month.
Continuous access.

The bootload.ai community is designed for practitioners who are building in production. Weekly live sessions, a curated AI tools library, structured accountability, and an active practitioner network.

📡

4 Live Sessions Monthly

Weekly live office hours with the programme faculty and guest practitioners. Applied discussion, not re-packaged content.

🛠

AI Tools Library

A curated, weekly-updated reference of tools verified for business-grade deployment. Prompt templates, automation blueprints, and agent frameworks included.

👥

Practitioner Accountability Pods

Structured accountability groups matched by level and deployment context. Weekly check-ins, shared build logs, and peer review.

💼

AI Roles Job Board

A curated board of AI-specific professional opportunities — agent builders, automation leads, and AI operations roles. No generic listings.

Community Membership
$20 / Month — Cancel Anytime

Masterclass registrants receive their first month complimentary.

Register for Early Access
09 — Open Positions

Two positions.
Both are builders.

bootload.ai is an early company. Both roles carry meaningful responsibility from day one and are structured with a pathway to growth. We are not hiring for compliance — we are hiring for ownership.

Part-Time ContractorRemote via ZoomAugust + September 2026Multiple Domains

AI Practitioner
Instructor

A faculty role for working AI professionals who deploy in commercial contexts and can articulate their practice to a live audience. Teaching methodology is provided. Domain expertise and active deployments are required.

3+
Years Facilitation or Teaching
1+
Year Live AI Deployment
Available Teaching Domains

Each instructor owns a single domain and teaches exclusively from active client work within it.

Prompt Engineering & LLM Strategy
Visual AI & Design Production
Voice, Video & Content Systems
Workflow Automation & Agent Building
Data Intelligence & Research
AI for Business Operations
Requirements
  • 3+ years teaching, training, or facilitation experience — corporate education, online instruction, structured workshops, or academic delivery. Any format in which you have taught groups with measurable outcomes.
  • 1+ year of live AI deployment experience — not incidental tool use. You have deployed AI automations, agents, or integrated systems within a real commercial context and can demonstrate the results.
  • Professional-level English communication — live delivery to a global professional audience via Zoom. Clarity, confidence, and precision are non-negotiable.
  • Availability for scheduled cohort sessions — Free Masterclass: August 3–4, 2026. Foundation Course: September 13–26, 2026, Monday through Friday, 8AM–12NN PHT.
What bootload.ai Provides
  • Instructor onboarding programme — teaching methodology, adult learning principles, and the bootload.ai delivery framework. We train you to teach effectively; you bring the domain expertise.
  • Session architecture and pacing guidelines — learning objectives, audience context, and session structure are provided. Content and live demonstrations are yours.
  • Production and design support — slide formatting and branding are handled. Your focus is the material.
  • Session fee, per-participant bonus, and community revenue share — compensation structure discussed individually. A 15% share of net community subscription revenue is distributed across the active faculty.
  • Faculty profile on bootload.ai — domain, credentials, and deployments published. Builds your professional profile as a practitioner educator.
This Role is Not Suitable If
  • Your AI experience is theoretical, academic, or limited to personal productivity use without commercial deployment
  • You cannot demonstrate prior teaching or facilitation experience with groups
  • You are unavailable for the scheduled cohort dates
  • You are not comfortable presenting live to a professional audience via video

Apply — Instructor Role

CV attachment required · Response within 5 business days

Attach Document PDF, DOC or DOCX · Maximum 5MB
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Application Received.

Every application is reviewed. You will receive a response within 5 business days. For enquiries, contact admin@bootload.ai

Part-Time · Growth to Full-TimeRemote-First · PHT HoursImmediate Start

Operations &
Community Coordinator

The operational foundation of bootload.ai. This role owns the end-to-end logistics of programme delivery — from student communications and community management to event execution and instructor coordination. It is a builder role in an early company, which means the scope will expand with the business.

2+
Years in Operations or Administration
PHT
Mon–Fri · 7AM–2PM Core Hours
Scope of Responsibility
  • Community management — Circle platform moderation, member engagement, weekly content posting, and live session support. The community reflects the quality of the programme.
  • Student operations — enrolment processing, CRM maintenance, Zoom session management, recording archive, and certificate generation and issuance.
  • Event execution — run-of-show management for all live events, technical setup and testing, Zoom co-hosting, and post-event follow-up and distribution.
  • Email communications — deploy and manage Brevo email sequences covering post-event follow-ups, enrolment campaigns, and community newsletters.
  • Instructor coordination — briefing logistics, material collection, payment tracking, technical rehearsals, and contract administration.
  • Social media scheduling — schedule approved content across Facebook, LinkedIn, and Instagram against a pre-approved calendar.
Requirements
  • 2+ years in operations, administration, or programme coordination — event operations, online education delivery, BPO team leadership, executive support, or equivalent experience with demonstrable accountability.
  • Professional written and spoken English — this role is the primary point of contact for students and instructors. Communication quality is a direct reflection of the programme.
  • Working fluency with Google Workspace and Zoom — Sheets, Drive, Docs, and Zoom Webinar. Ownership of these tools, not passive familiarity.
  • Self-directing and technically adaptable — the ability to adopt new tools independently and operate without close supervision in an early-stage environment.
  • Available Monday through Friday, 7AM–2PM PHT — core hours aligned with live event and student support requirements.
Advantageous Experience
  • Prior management of a live online course or cohort programme
  • Working knowledge of Circle, Brevo, or equivalent community and email platforms
  • Social media scheduling experience using Buffer, Later, or equivalent
  • Baseline familiarity with AI productivity tools — the operational environment is AI-native

Apply — Operations Role

CV attachment required · Response within 5 business days

Attach Document PDF, DOC or DOCX · Maximum 5MB
Uploading...

Reviewed by admin@bootload.ai

✓

Application Received.

Every application is reviewed. You will receive a response within 5 business days. For enquiries, contact admin@bootload.ai

10 — Frequently Asked

Common
questions.

Yes. The 2-day Masterclass on August 3–4 carries no cost. No credit card is required, and there is no conditional offer attached to attendance. At the close of Day 2, the Foundation Course will be introduced and made available for enrolment. That is paid and optional. The Masterclass itself is free.

No. The programme is designed for professionals who deploy AI tools in operational and commercial contexts — not engineers building models. Prompt engineering, visual AI, workflow automation, and agent deployment require no programming background. The emphasis throughout is on deployment outcomes, not technical architecture.

All sessions are delivered 8:00 AM – 12:00 NN Philippine Time (PHT), which corresponds to 8:00 PM – 12:00 MN Eastern Standard Time. The programme is open to professionals globally. All sessions are recorded; registered participants receive access within 24 hours of each session.

10 live sessions from September 13–26, 2026, Monday through Friday, 8AM–12NN PHT. Each session is structured to conclude with a deployable portfolio output. Participants complete the programme with 10 verified deployments. Maximum 30 places. Price rises to $297 from Cohort 2 onwards. Masterclass participants receive priority access before general enrolment opens.

The Fellowship is the advanced track open exclusively to Foundation Course graduates. It covers advanced agent architecture, client acquisition, and building a functioning AI agency. Intake details and pricing are announced to Cohort 1 graduates on September 24, 2026. Complete the Foundation Course to qualify.

Yes. The programme is delivered in English and open to professionals globally. Participants from the United States, United Kingdom, Australia, Canada, Singapore, the UAE, and across Southeast Asia attend. The time slot — 8AM–12NN PHT / 8PM–12MN EST — is designed to work across multiple time zones simultaneously.

Yes. All sessions are recorded. Masterclass participants receive recordings for 30 days following the event. Foundation Course participants retain access to all recordings for the duration of the programme. Recordings are available within 24 hours of each session.

Act now,
not eventually.

Free. August 3–4, 2026. 500 places globally.

Register — No Cost