What Is It?
How Does It Work?
What is the ROI of AI workforce development?
LMS Administrator's Clinical Experience
Terms Agreement & Curriculum Preview(s)
Who This Curriculum Is For
1.0 – AI vs Human: Who Does What Now?
Module 1 – Opening Self-Assessment
ARIA Teach Activation — Opening Anchor
Section 1.1 — The Foundational Mental Model
Section 1.2 — The Frontier Three Platforms: A Design-First Introduction
Section 1.3 — The Four Tasks AI Cannot Replace
Section 1.4 — Veridian Application: Mapping the BDR Week
[LG/H] Module 1 – Closing Self-Assessment: Task Map
2.0 – Prompt Engineering for Pipeline
Module 2 – Opening Self-Assessment
ARIA Teach Activation — Opening Anchor
Section 2.1 — Prompt Engineering Is Not a Technical Skill
Section 2.2 — Framework 1: The General Prompt
Section 2.3 — Framework 2: The Research Prompt
Section 2.4 — Framework 3: The BDA/BDR Prospecting Prompt
[LG/H] Module 2 – Closing Self-Assessment: Prompt Library
3.0 – The ARIA Method - Learing While Doing
Module 3 – Opening Self-Assessment
ARIA Teach Activation — Opening Anchor
Section 3.1 — What ARIA Is and Why It's Inside This Course
Section 3.2 — Felt Difficulty: The Unit of Measurement That Matters
Section 3.3 — The Mechanical Journal
Section 3.4 — Critical Thinking as the Multiplier
Section 3.5 — Veridian Application: One Week of Mechanical Journaling
[LG/H] Module 3 – Closing Self-Assessment: Mechanical Journal
Section 4 Opener: NSF "Consent Decision"
4.0 – Measuring Mastery Velocity
Module 4 – Opening Self-Assessment
ARIA Teach Activation — Opening Anchor
Section 4.1 — Why Measuring Your Learning Velocity Matters
Section 4.2 — The Cold Email Scoring Instrument
Section 4.3 — The LG/H Exercise: Five Emails
Section 4.4 — The Connection to Revenue
[LG/H] Module 4 – Closing Self-Assessment: LG/H Calculation Sheet
5.0 – AI-Augmented CRM & Prospecting
Module 5 – Opening Self-Assessment
ARIA Teach Activation — Opening Anchor
Section 5.1 — From Skills to Systems
Section 5.2 — Apollo.io: The Exclusive Prospecting Platform
Section 5.3 — The Veridian Prospecting Sequence
Section 5.4 — The Three Workflow Non-Negotiables
[LG/H] Module 5 – Closing Self-Assessment: Apollo.io Sequence
6.0 – Revenue Signals vs "Noise"
Module 6 – Opening Self-Assessment
ARIA Teach Activation — Opening Anchor
Section 6.1 — Activity vs. Execution: Reading Your Own Data
Section 6.2 — Perplexity as the BDA's Research Co-Pilot
Section 6.3 — Building the Reusable Research Prompt
Section 6.4 — Reading Your Own Activity Data
[LG/H] Module 6 – Closing Self-Assessment: Discovery Briefs + Reflection
7.0 – Portfolio Capstone - AI Collaboration Evidence
Module 7 – Opening Self-Assessment
ARIA Teach Activation — Opening Anchor
Section 7.1 — What a Portfolio Is and Why This One Is Different
Section 7.2 — The Five-Section Portfolio Structure
Section 7.3 — Building Your Portfolio with Claude: Your First Independent Claude Project
Section 7.4 — How to Present This Portfolio
Section 7.5 — The Custom AI Training Connection
Module 7 Closing Assessment — Final Portfolio Submission
Who This Curriculum Is For
1.0 – AI vs Human: Who Does What Now?
Module 1 – Opening Self-Assessment
ARIA Teach Activation — Opening Anchor
Section 1.1 — The Foundational Mental Model
Section 1.2 — The Three Platforms: A Design-First Introduction
Section 1.3 — The Four Tasks AI Cannot Replace
Section 1.4 — Northspyre Application: Mapping the BDA Week
[LG/H] Module 1 – Closing Self-Assessment: Task Map
2.0 – Prompt Engineering for Pipeline
Module 2 – Opening Self-Assessment
ARIA Teach Activation — Opening Anchor
Section 2.1 — Prompt Engineering Is Not a Technical Skill
Section 2.2 — Framework 1: The General Prompt
Section 2.3 — Framework 2: The Research Prompt
Section 2.4 — Framework 3: The BDA/BDR Prospecting Prompt
[LG/H] Module 2 – Closing Self-Assessment: Prompt Library
3.0 – The ARIA Method - Learing While Doing
Module 3 – Opening Self-Assessment
ARIA Teach Activation — Opening Anchor
Section 3.1 — What ARIA Is and Why It's Inside This Course
Section 3.2 — Felt Difficulty: The Unit of Measurement That Matters
Section 3.3 — The Mechanical Journal
Section 3.4 — Critical Thinking as the Multiplier
Section 3.5 — Northspyre Application: One Week of Mechanical Journaling
[LG/H] Module 3 – Closing Self-Assessment: Mechanical Journal
Section 4 Opener: NSF "Consent Decision"
4.0 – Measuring Mastery Velocity
Module 4 – Opening Self-Assessment
ARIA Teach Activation — Opening Anchor
Section 4.1 — Why Measuring Your Learning Velocity Matters
Section 4.2 — The Cold Email Scoring Instrument
Section 4.3 — The LG/H Exercise: Five Emails
Section 4.4 — The Connection to Revenue
[LG/H] Module 4 – Closing Self-Assessment: LG/H Calculation Sheet
5.0 – AI-Augmented CRM & Prospecting
Module 5 – Opening Self-Assessment
ARIA Teach Activation — Opening Anchor
Section 5.1 — From Skills to Systems
Section 5.2 — Apollo.io: The Exclusive Prospecting Platform
Section 5.3 — The Northspyre Prospecting Sequence
Section 5.4 — The Three Workflow Non-Negotiables
[LG/H] Module 5 – Closing Self-Assessment: Apollo.io Sequence
6.0 – Revenue Signals vs "Noise"
Module 6 – Opening Self-Assessment
ARIA Teach Activation — Opening Anchor
Section 6.1 — Activity vs. Execution: Reading Your Own Data
Section 6.2 — Perplexity as the BDA's Research Co-Pilot
Section 6.3 — Building the Reusable Research Prompt
Section 6.4 — Reading Your Own Activity Data
[LG/H] Module 6 – Closing Self-Assessment: Discovery Briefs + Reflection
7.0 – Portfolio Capstone - AI Collaboration Evidence
Module 7 – Opening Self-Assessment
ARIA Teach Activation — Opening Anchor
Section 7.1 — What a Portfolio Is and Why This One Is Different
Section 7.2 — The Five-Section Portfolio Structure
Section 7.3 — Building Your Portfolio with Claude: Your First Independent Claude Project
Section 7.4 — How to Present This Portfolio
Section 7.5 — The Custom AI Training Connection
Module 7 Closing Assessment — Final Portfolio Submission
The Trust-Speed Ledger Exercise (Module 6 Upgrade)
The "Institutional Transparency" Syllabus Entry (v2.0 Preamble Upgrade)
Authority Branding: Transforming News Media into Business Development and Sales Execution
0.X – Compute Ecosystem & Industrialized Digital Assets 101 (C3P framing)
0.1 – Power‑First Mindset for C3P Sites (P)
0.2 – Site Selection, Land, Zoning & Entitlements (C3P: P + Cool + Conn)
0.3 – Connectivity & Utility Agreements (Conn + P)
0.4 – Cooling & Water as a Location Filter (Cool + ESG)
0.5 – Campus Strategy, Phasing & Cost‑Per‑MW Economics (Compute + P + Cool)
0.6 – Risk Stack & ESG for C3P Projects (All four)
0.7 – Digital Backbone & Source‑of‑Truth Habits (C3P + Northspyre)
