2026 Edition · 98 pages · Lifetime updates

Stop watching the AI revolution.
Start running operations inside it.

The 14-module operator playbook that takes you from your first line of Python to your first paid AI engagement — in 14 days, 90 days, or 6 months, depending on which track you pick.

Get the Playbook — $97 $49 See what's inside
Instant PDF delivery
One-time payment
Lifetime updates
Starter repos included
The Complete AI Course — From Foundations to Mastery, 2026 Edition. Premium ebook cover by Roman Blackwood.
PDF + Starter Repos
PyTorch· Hugging Face· OpenAI & Anthropic API· RAG Systems· LangChain & LlamaIndex· Vector Databases· Agent Architectures· Fine-Tuning & LoRA· MLOps· n8n / Make / Zapier· FastAPI Production· PyTorch· Hugging Face· OpenAI & Anthropic API· RAG Systems· LangChain & LlamaIndex· Vector Databases· Agent Architectures· Fine-Tuning & LoRA· MLOps· n8n / Make / Zapier· FastAPI Production
The reality

Everyone is talking about AI. Almost nobody is making money with it.

You've sat through 12 YouTube videos. You've bookmarked 40 newsletters. You've "played around" with ChatGPT, Claude, and Gemini. You've heard people are making $5k–$30k/month with AI workflows.

And yet your bank account looks exactly the same as it did before "AI hit."

Trap 1

Pure theory

Math, papers, history. You can't pay rent with a transformer diagram. You need to ship.

Trap 2

Pure tool demos

"Look how cool Claude is!" — followed by zero path from demo to deployed. From cool to client.

Trap 3

Pure hype

Overnight-millionaire-with-AI videos that vanish the moment you ask to see the actual system.

The deeper problem: AI rewards operators, not spectators. And almost no one is teaching the operator path in one place.

The people winning right now aren't the smartest engineers. They're the ones who can take a vague problem, decompose it into prompts + retrieval + evaluation, ship it, and bill for the outcome.

The opportunity

The market is enormous. The path is finally documented.

0
Modules

Foundations → modeling → production → monetization. Plus the Mastery Edition expansions.

0
Pages

No filler. No padding. Every page built to be operational — not motivational.

0
Capstone projects

Beginner tabular → intermediate image classifier → advanced production RAG app with citations.

0
Income paths covered

Employment ($140k-$400k+), consulting ($150-500/hr), agency, SaaS, content.

Three tracks, one course

Pick your speed. Same materials, sequenced for your goal.

Most courses pretend everyone has the same goal. This one doesn't. The same 14 modules + execution kit serve three operators with very different deadlines.

Track A · 30-day

Speed Track

Cash-first. First paying engagement or first $1k in AI revenue within 30 days.

  • → Read Modules 9, 11, 13 only
  • → Skip math, deep learning, training-from-scratch
  • → Build one productized offer end-to-end
  • → 20-prospect/day outreach using the included scripts
  • → Close one engagement by day 30
Realistic outcome
$1k–$5k cash + 1 case study
Track B · 90-day

Builder Track

Career pivot. One production AI app + one income stream lit up.

  • → Days 1-14: Foundations (Modules 1-4)
  • → Days 15-35: Modeling + deep learning
  • → Days 36-60: NLP, generative AI, RAG
  • → Days 61-80: Systems + deployment
  • → Days 81-90: Income stream activation
Realistic outcome
Shippable AI engineer skill set + job/SaaS path
Track C · 6-month

Mastery Track

Senior-credible. Design, deploy, and operate production AI systems.

  • → Full curriculum + math fluency
  • → Fine-tune one model end-to-end
  • → Project 3 to production-ready bar
  • → Specialization deep-dive + paper reproduction
  • → Real production reps + eval program ownership
Realistic outcome
Staff/lead role, $300-500/hr consulting, or co-founder positioning
What's inside

Theory + Engineering + Strategy — in one operator playbook.

Most courses give you one of these three. This one gives you all three, structured for shipping — not for credentials.

I

Foundations

Modules 1-4: what AI is, the math you actually need, productive Python in 2-3 weeks, and the data fundamentals that separate amateurs from professionals.

II

Core Modeling

Modules 5-9: classical ML, deep learning, NLP, computer vision, and the modern generative AI stack — LLMs, RAG, agents, fine-tuning.

III

Engineering & Production

Modules 10-11: end-to-end system design, MLOps, training-serving skew, LLM-specific architecture, the minimum production stack.

IV

Application & Strategy

Modules 12-14: how AI ships in healthcare, finance, marketing, logistics — plus the five income paths, agency playbook, SaaS economics, ethics + regulation.

V

Execution Kit

Three capstone projects with rubrics. Master Tool Stack. The 2026 AI App Landscape field guide. Step-by-step blueprints from first model to $10k MRR SaaS.

VI

Mastery Edition

The differentiator: How AI Engineers Think, assessment rubrics, the 12-failure playbook, eval deep dive, system blueprints, starter repos, monetization kit, real ROI cases.

Get the playbook — $97 $49
Bonus inside

The 12 highest-revenue AI workflows in 2026.

Build any one of these for a real client in under 5 days, charge $3k–$8k for the build plus $500-$2k/month retainer. Every workflow is documented with the trigger, the AI step, the tool stack, and the productization heuristic.

01
Inbound lead enrichment + scoring
02
Cold-email reply triage
03
Meeting notes → CRM update
04
Customer support deflection
05
Onboarding email sequences
06
Invoice / receipt extraction
07
Job-application screening
08
Sales-call coaching
09
Content repurposing
10
Competitor monitoring
11
RFP / proposal drafting
12
Churn prediction + outreach
Real ROI breakdowns

Five anonymized case studies. Real numbers. Reusable ROI template.

Synthesized from public case studies and mid-market benchmarks. Not financial guarantees — but representative of correctly-deployed 2025-2026 AI projects. The point isn't "you'll earn this." The point is "this is what's on the table when AI ships correctly."

01

Customer-support RAG assistant — B2B SaaS

14→9 min avg handle time. 18%→41% deflection. Build $45k, payback ~2 months.

$500k
net first-year impact
02

Inbound lead enrichment + scoring — B2B agency

6%→11% conversion. 4-8 hr → 5-min response. Build $7.5k + $1.2k/mo retainer.

$180k
incremental pipeline/quarter
03

Invoice extraction automation — logistics ops

3 AP clerks reassigned. 4%→0.7% error. 3.4 days → 6 hours cycle time.

$250k
savings + discount capture
04

Sales-call coaching with AI scoring — SaaS sales org

100% calls scored. 22%→27% demo-to-close. 3 weeks faster AE ramp.

$2.1M
incremental ARR
05

Internal RAG over engineering docs — 800-eng enterprise

4.5→1.6 hrs/week doc search. 9-wk→6-wk new-hire ramp. 600 weekly active users.

$3.6M
productivity recapture

The course doesn't just tell you these stories — it gives you the ROI template you plug your own client's numbers into.

Be honest with yourself.

This is for you if
  • ✓ You're tired of tutorial-hopping and want one path that ends in shipped projects
  • ✓ You're a software engineer leveling up to AI engineer in 2026
  • ✓ You're a founder bringing AI into your business — without paying $30k for consultants
  • ✓ You're a career switcher with no AI background but real work ethic
  • ✓ You want to run an automation agency, consult, or ship vertical AI SaaS
  • ✓ You've been "learning AI" for 6+ months with nothing shipped — and you're done with that
This isn't for you if
  • — You want a passive-income button to press once — that doesn't exist
  • — You're looking for a get-rich-with-AI scheme — this is a serious curriculum
  • — You refuse to write code — no-code doesn't replace understanding
  • — You're already a senior ML researcher — this isn't academic enough
  • — You won't ship a project publicly — without that, no course can help you
Get the playbook

One payment. Lifetime access.

No subscription. No upsell ladder. No course gauntlet. Pay once. Get the PDF + starter repos. Update for life.

The Complete AI Course
From Foundations to Mastery
2026 Edition · 98 pages · 14 modules · 3 capstones
Industry equivalents:
$2,500+
$97 $49
one-time · lifetime updates
What you get
● 98-page operator PDF
● 14 modules + Mastery Edition
● 3 hands-on capstone projects
● Prebuilt starter repos (ML / RAG / Agent / FastAPI)
● The 12-highest-revenue workflows breakdown
● Monetization Execution Kit (scripts, proposals, pricing)
● Master Tool Stack (every tool by stage)
● 2026 AI App Landscape field guide
● AI Failure Playbook (12 production failures + fixes)
● 5 real ROI case studies + reusable ROI template
● Speed/Builder/Mastery learning tracks
● Lifetime updates (2027+ editions free)
Buy Now — $97 $49

Secure checkout · Card, Apple Pay, Google Pay · Instant delivery

30-day refund. Go through the curriculum. Run the first capstone. If you genuinely don't feel this is the most operator-grade AI course you've seen, reply to your receipt — full refund, no interview, no hoops.
Frequently asked

Common questions

Do I need a coding background? +

Helpful, not required. Module 3 takes you to productive Python in 2-3 weeks if you're starting from zero. Career switchers with no coding background routinely complete this curriculum part-time in ~6 months. The course tells you exactly what to learn and what to skip at each stage.

How much math do I need? +

Module 2 covers exactly what's used in practice — linear algebra basics, probability, calculus for backprop. About 3-4 weeks of focused study. No PhD prerequisite. We tell you explicitly what you can skip (measure-theoretic probability, functional analysis, etc.).

Is this just LLM/ChatGPT stuff or real ML? +

Both. You get the full classical ML stack (Modules 5-6) AND the modern generative / agent stack (Modules 7-9). Most courses only teach one half. The operators making money in 2026 know both — and the course shows you when to deploy each.

Will the content go out of date? +

The field moves. That's why every buyer gets lifetime updates included. The 2026 Edition is current as of compile date, and revised editions are pushed at no extra cost as FMCSA rules, frontier models, and tool stacks evolve.

How long does this take? +

Your choice: 30 days (Speed Track, cash-first), 90 days (Builder Track, full skill set), or 6 months (Mastery Track, senior-practitioner level). The same materials, sequenced for different goals. Most career-switchers finish the Builder Track at 10-15 hours/week.

What format is the course delivered in? +

Polished 98-page PDF, four companion starter-kit repos (ML / RAG / Agent / FastAPI), downloadable templates and scripts from the Monetization Execution Kit, and the 2026 AI App Landscape field guide. Delivered instantly after purchase.

Can I use this for my job / business / client work? +

Yes. Personal license includes the right to use everything inside your work or your own business. The Monetization Execution Kit is built specifically to be deployed with real clients — the cold-email scripts, proposal template, and pricing calculator are battle-tested for live engagements.

What if I get stuck? +

The course includes an AI Failure Playbook (12 documented production failures with fixes), per-module assessments to verify mastery before moving on, and a debugging mindset framework. You will get stuck — and you'll know exactly how to get unstuck.

Why $97 $49 and not $497 or $2,000? +

A comparable bootcamp runs $12k-$25k. A consulting engagement runs $5k-$15k. The course is priced low enough that the operators who'll actually use it can afford it today — and high enough to filter out tire-kickers. The math: if this course saves you 100 hours of tutorial hopping, you're already ahead.

Stop researching.
Start operating.

Every week you spend "thinking about" AI, somebody less talented is shipping their second client engagement. The market doesn't reward the smartest. It rewards the ones who actually build, deploy, and bill.

Get the Playbook — $97 $49

Instant PDF · Lifetime updates · 30-day refund