Day 1: The Russian Dolls: AI vs. ML vs. DL vs. GenAI (Foundations & How Machines See and Read)
Who is a subset of what, and how code differs from learning
Duration: 8–10 min
SA
The Founder's AI Mastery Course30-Day Program
Track 1: The Founder's AI Mental Model (Active Masterclass)
Track 2: Agentic Workflows for CEOs (Coming Soon)
Track 3: Enterprise AI Governance & Security (Coming Soon)
30-Day Executive MasterclassZero Code Required
The Founder's AI Mental Model
Designed exclusively for non-technical founders, operators, and CEOs. Master the conceptual hierarchy of AI vs. Machine Learning vs. Deep Learning vs. GenAI, identify high-ROI enterprise use-cases, and command the room in boardrooms and keynotes.
Cohort Enrollment
Private Founder Program
Day 1 is unlocked for public reading. Days 2–30 are reserved for approved cohort members.
WEEK 1
0/7 CompleteFoundations & How Machines See and Read
DAY 1Unlocked
The Russian Dolls: AI vs. ML vs. DL vs. GenAI
Who is a subset of what, and how code differs from learning
8–10 minStart Reading →
DAY 2
How Machines Actually Learn
Supervised, Unsupervised, RL & what 'training' really means
8–10 min
DAY 3
Loss, Error & Gradient Descent
The Blindfolded Hiker analogy: how AI corrects mistakes
8–10 min
DAY 4
Neural Networks: Neurons, Weights & Layers
The biological analogy vs mathematical reality
8–10 min
DAY 5
How AI Reads an Image (Computer Vision & CNNs)
Pixels to edges to shapes: how computers 'see'
8–10 min
DAY 6
How AI Reads Language (Tokens & Embeddings)
Turning words into coordinates in a meaning map
8–10 min
DAY 7
Week 1 Review & Stage Simulation
Rapid-fire 8-question defense covering foundations
8–10 min
WEEK 2
0/7 CompleteThe Generative AI & Transformer Engine
DAY 8
From Old NLP to the Transformer Revolution
Why 2015 AI couldn't write & the 2017 breakthrough
8–11 min
DAY 9
Self-Attention: How AI Understands Context
How 'bank' means river bank vs money bank
8–10 min
DAY 10
Next-Token Prediction & Temperature
Why LLMs are smart autocomplete & what temperature does
8–10 min
DAY 11
Pre-training vs. Fine-tuning vs. RLHF
How raw internet reading becomes a polite assistant
8–10 min
DAY 12
Why AI Hallucinates (Confident Errors)
Why models invent facts instead of saying 'I don't know'
8–10 min
DAY 13
How AI Generates Images & Voice (Diffusion & TTS)
Turning static noise into images & speech synthesis
8–10 min
DAY 14
Week 2 Review & Stage Simulation
Handling live questions on LLMs and generative tech
8–10 min
WEEK 3
0/7 CompleteApplied SaaS Architecture (RAG, Agents & GEO)
DAY 15
Context Windows & Memory Architecture
Why chatbots forget and how context limits work
8–10 min
DAY 16
RAG: Retrieval-Augmented Generation & Vector DBs
How AnterAI reads client sites without retraining
8–10 min
DAY 17
AI Agents & Function Calling
Turning chatbots into active workers (OpenJarvis / LinkedIn)
8–10 min
DAY 18
Human-in-the-Loop & Workflows
Why approval gates matter in GMB Automation SaaS
8–10 min
DAY 19
AI Search & GEO (AEO / Generative Engine Optimization)
How Perplexity & ChatGPT cite and rank websites
8–10 min
DAY 20
AI Security: Prompt Injection & Data Privacy
The new SQL injections of the generative era
8–10 min
DAY 21
Week 3 Review & Architecture Defense
Explaining enterprise AI architecture to clients
8–10 min
WEEK 4
0/7 CompleteStrategy, Economics & Handling Audiences
DAY 22
Narrow AI vs. AGI vs. Superintelligence
Is AI conscious? The real engineering timeline
8–10 min
DAY 23
Why AI Sounds Like AI (Perplexity & Em Dashes)
The statistical fingerprint behind AI writing style
8–10 min
DAY 24
Bias, Copyright & Legal Governance
Who owns the weights and how training data impacts IP
8–10 min
DAY 25
Cloud Giants vs. Local Small Models (SLMs)
Running AI privately on MacBooks and edge devices
8–10 min
DAY 26
AI Economics: Moats, Wrappers & ROI
Answering: 'Isn't your SaaS just a ChatGPT wrapper?'
9–12 min
DAY 27
AI & Employment: The SME / Agency Reality
Augmentation vs replacement from a founder's lens
9–11 min
DAY 28
The Art of the TED-Style AI Speech
Hook → Misconception → Analogy → Proof → Closer
9–11 min
CAPSTONE
0/2 CompleteStage Readiness & TED Talk Capstone
DAY 29
Capstone: Crafting Your 10-Minute Talk
Building your personal keynote outline and script
8–10 min
DAY 30
Capstone: The 15-Question Live Stage Gauntlet
Pass the ultimate hostile Q&A test and earn certification
15–20 min
Course Architecture FAQ
Everything Founders Ask Before Enrolling
Zero fluff. Practical answers regarding time commitment, technical prerequisites, and executive outcomes.
Q1Do I need a technical or coding background?
No. The curriculum is engineered specifically for non-technical founders, operators, and CEOs. It relies entirely on mental models (like Russian Nesting Dolls and Master Chef recipes), business analogies, and architectural ROI evaluation.
Q2How much time is required daily?
Each daily module requires 20 to 30 minutes: 15–20 minutes of reading and a 5-minute comprehension check. It fits seamlessly into a morning routine or executive commute.
Q3Can I preview the course for free?
Yes. Day 1 ("The Russian Dolls: AI vs. ML vs. DL vs. GenAI") is completely unlocked and publicly accessible as an open masterclass preview so you can experience the teaching methodology.
Q4How do I unlock Days 2 through 30?
Click Apply to Join Cohort to submit your founder profile. Once reviewed by Shadab Alam, you receive a direct invitation token via email to activate your account and start your streak.
Private Executive Cohort
Master AI Architecture in 30 Days
Join other operators and founders. Daily guided conceptual masterclasses, interactive quizzes, and verified streak tracking.
30-Day Guided AI Curriculum Syllabus for Founders
Day 2: How Machines Actually Learn (Foundations & How Machines See and Read)
Supervised, Unsupervised, RL & what 'training' really means
Duration: 8–10 min
Day 3: Loss, Error & Gradient Descent (Foundations & How Machines See and Read)
The Blindfolded Hiker analogy: how AI corrects mistakes
Duration: 8–10 min
Day 4: Neural Networks: Neurons, Weights & Layers (Foundations & How Machines See and Read)
The biological analogy vs mathematical reality
Duration: 8–10 min
Day 5: How AI Reads an Image (Computer Vision & CNNs) (Foundations & How Machines See and Read)
Pixels to edges to shapes: how computers 'see'
Duration: 8–10 min
Day 6: How AI Reads Language (Tokens & Embeddings) (Foundations & How Machines See and Read)
Turning words into coordinates in a meaning map
Duration: 8–10 min
Day 7: Week 1 Review & Stage Simulation (Foundations & How Machines See and Read)
Rapid-fire 8-question defense covering foundations
Duration: 8–10 min
Day 8: From Old NLP to the Transformer Revolution (The Generative AI & Transformer Engine)
Why 2015 AI couldn't write & the 2017 breakthrough
Duration: 8–11 min
Day 9: Self-Attention: How AI Understands Context (The Generative AI & Transformer Engine)
How 'bank' means river bank vs money bank
Duration: 8–10 min
Day 10: Next-Token Prediction & Temperature (The Generative AI & Transformer Engine)
Why LLMs are smart autocomplete & what temperature does
Duration: 8–10 min
Day 11: Pre-training vs. Fine-tuning vs. RLHF (The Generative AI & Transformer Engine)
How raw internet reading becomes a polite assistant
Duration: 8–10 min
Day 12: Why AI Hallucinates (Confident Errors) (The Generative AI & Transformer Engine)
Why models invent facts instead of saying 'I don't know'
Duration: 8–10 min
Day 13: How AI Generates Images & Voice (Diffusion & TTS) (The Generative AI & Transformer Engine)
Turning static noise into images & speech synthesis
Duration: 8–10 min
Day 14: Week 2 Review & Stage Simulation (The Generative AI & Transformer Engine)
Handling live questions on LLMs and generative tech
Duration: 8–10 min
Day 15: Context Windows & Memory Architecture (Applied SaaS Architecture (RAG, Agents & GEO))
Why chatbots forget and how context limits work
Duration: 8–10 min
Day 16: RAG: Retrieval-Augmented Generation & Vector DBs (Applied SaaS Architecture (RAG, Agents & GEO))
How AnterAI reads client sites without retraining
Duration: 8–10 min
Day 17: AI Agents & Function Calling (Applied SaaS Architecture (RAG, Agents & GEO))
Turning chatbots into active workers (OpenJarvis / LinkedIn)
Duration: 8–10 min
Day 18: Human-in-the-Loop & Workflows (Applied SaaS Architecture (RAG, Agents & GEO))
Why approval gates matter in GMB Automation SaaS
Duration: 8–10 min
Day 19: AI Search & GEO (AEO / Generative Engine Optimization) (Applied SaaS Architecture (RAG, Agents & GEO))
How Perplexity & ChatGPT cite and rank websites
Duration: 8–10 min
Day 20: AI Security: Prompt Injection & Data Privacy (Applied SaaS Architecture (RAG, Agents & GEO))
The new SQL injections of the generative era
Duration: 8–10 min
Day 21: Week 3 Review & Architecture Defense (Applied SaaS Architecture (RAG, Agents & GEO))
Explaining enterprise AI architecture to clients
Duration: 8–10 min
Day 22: Narrow AI vs. AGI vs. Superintelligence (Strategy, Economics & Handling Audiences)
Is AI conscious? The real engineering timeline
Duration: 8–10 min
Day 23: Why AI Sounds Like AI (Perplexity & Em Dashes) (Strategy, Economics & Handling Audiences)
The statistical fingerprint behind AI writing style
Duration: 8–10 min
Day 24: Bias, Copyright & Legal Governance (Strategy, Economics & Handling Audiences)
Who owns the weights and how training data impacts IP
Duration: 8–10 min
Day 25: Cloud Giants vs. Local Small Models (SLMs) (Strategy, Economics & Handling Audiences)
Running AI privately on MacBooks and edge devices
Duration: 8–10 min
Day 26: AI Economics: Moats, Wrappers & ROI (Strategy, Economics & Handling Audiences)
Answering: 'Isn't your SaaS just a ChatGPT wrapper?'
Duration: 9–12 min
Day 27: AI & Employment: The SME / Agency Reality (Strategy, Economics & Handling Audiences)
Augmentation vs replacement from a founder's lens
Duration: 9–11 min
Day 28: The Art of the TED-Style AI Speech (Strategy, Economics & Handling Audiences)
Hook → Misconception → Analogy → Proof → Closer
Duration: 9–11 min
Day 29: Capstone: Crafting Your 10-Minute Talk (Stage Readiness & TED Talk Capstone)
Building your personal keynote outline and script
Duration: 8–10 min
Day 30: Capstone: The 15-Question Live Stage Gauntlet (Stage Readiness & TED Talk Capstone)
Pass the ultimate hostile Q&A test and earn certification
Duration: 15–20 min