Course curriculum

    1. What Is It?

    2. How Does It Work?

    3. What is the ROI of AI workforce development?

    4. LMS Administrator's Clinical Experience

    5. Terms Agreement & Curriculum Preview(s)

    1. Who This Curriculum Is For

    2. 1.0 – AI vs Human: Who Does What Now?

    3. Module 1 – Opening Self-Assessment

    4. ARIA Teach Activation — Opening Anchor

    5. Section 1.1 — The Foundational Mental Model

    6. Section 1.2 — The Three Platforms: A Design-First Introduction

    7. Section 1.3 — The Four Tasks AI Cannot Replace

    8. Section 1.4 — Veridian Application: Mapping the BDR Week

    9. [LG/H] Module 1 – Closing Self-Assessment: Task Map

    10. 2.0 – Prompt Engineering for Pipeline

    11. Module 2 – Opening Self-Assessment

    12. ARIA Teach Activation — Opening Anchor

    13. Section 2.1 — Prompt Engineering Is Not a Technical Skill

    14. Section 2.2 — Framework 1: The General Prompt

    15. Section 2.3 — Framework 2: The Research Prompt

    16. Section 2.4 — Framework 3: The BDA/BDR Prospecting Prompt

    17. [LG/H] Module 2 – Closing Self-Assessment: Prompt Library

    18. 3.0 – The ARIA Method - Learing While Doing

    19. Module 3 – Opening Self-Assessment

    20. ARIA Teach Activation — Opening Anchor

    21. Section 3.1 — What ARIA Is and Why It's Inside This Course

    22. Section 3.2 — Felt Difficulty: The Unit of Measurement That Matters

    23. Section 3.3 — The Mechanical Journal

    24. Section 3.4 — Critical Thinking as the Multiplier

    25. Section 3.5 — Veridian Application: One Week of Mechanical Journaling

    26. [LG/H] Module 3 – Closing Self-Assessment: Mechanical Journal

    27. Section 4 Opener: NSF "Consent Decision"

    28. 4.0 – Measuring Mastery Velocity

    29. Module 4 – Opening Self-Assessment

    30. ARIA Teach Activation — Opening Anchor

    31. Section 4.1 — Why Measuring Your Learning Velocity Matters

    32. Section 4.2 — The Cold Email Scoring Instrument

    33. Section 4.3 — The LG/H Exercise: Five Emails

    34. Section 4.4 — The Connection to Revenue

    35. [LG/H] Module 4 – Closing Self-Assessment: LG/H Calculation Sheet

    36. 5.0 – AI-Augmented CRM & Prospecting

    37. Module 5 – Opening Self-Assessment

    38. ARIA Teach Activation — Opening Anchor

    39. Section 5.1 — From Skills to Systems

    40. Section 5.2 — Apollo.io: The Exclusive Prospecting Platform

    41. Section 5.3 — The Veridian Prospecting Sequence

    42. Section 5.4 — The Three Workflow Non-Negotiables

    43. [LG/H] Module 5 – Closing Self-Assessment: Apollo.io Sequence

    44. 6.0 – Revenue Signals vs "Noise"

    45. Module 6 – Opening Self-Assessment

    46. ARIA Teach Activation — Opening Anchor

    47. Section 6.1 — Activity vs. Execution: Reading Your Own Data

    48. Section 6.2 — Perplexity as the BDA's Research Co-Pilot

    49. Section 6.3 — Building the Reusable Research Prompt

    50. Section 6.4 — Reading Your Own Activity Data

    51. [LG/H] Module 6 – Closing Self-Assessment: Discovery Briefs + Reflection

    52. 7.0 – Portfolio Capstone - AI Collaboration Evidence

    53. Module 7 – Opening Self-Assessment

    54. ARIA Teach Activation — Opening Anchor

    55. Section 7.1 — What a Portfolio Is and Why This One Is Different

    56. Section 7.2 — The Five-Section Portfolio Structure

    57. Section 7.3 — Building Your Portfolio with Claude: Your First Independent Claude Project

    58. Section 7.4 — How to Present This Portfolio

    59. Section 7.5 — The Custom AI Training Connection

    60. Module 7 Closing Assessment — Final Portfolio Submission

    1. Who This Curriculum Is For

    2. 1.0 – AI vs Human: Who Does What Now?

    3. Module 1 – Opening Self-Assessment

    4. ARIA Teach Activation — Opening Anchor

    5. Section 1.1 — The Foundational Mental Model

    6. Section 1.2 — The Three Platforms: A Design-First Introduction

    7. Section 1.3 — The Four Tasks AI Cannot Replace

    8. Section 1.4 — Northspyre Application: Mapping the BDA Week

    9. [LG/H] Module 1 – Closing Self-Assessment: Task Map

    10. 2.0 – Prompt Engineering for Pipeline

    11. Module 2 – Opening Self-Assessment

    12. ARIA Teach Activation — Opening Anchor

    13. Section 2.1 — Prompt Engineering Is Not a Technical Skill

    14. Section 2.2 — Framework 1: The General Prompt

    15. Section 2.3 — Framework 2: The Research Prompt

    16. Section 2.4 — Framework 3: The BDA/BDR Prospecting Prompt

    17. [LG/H] Module 2 – Closing Self-Assessment: Prompt Library

    18. 3.0 – The ARIA Method - Learing While Doing

    19. Module 3 – Opening Self-Assessment

    20. ARIA Teach Activation — Opening Anchor

    21. Section 3.1 — What ARIA Is and Why It's Inside This Course

    22. Section 3.2 — Felt Difficulty: The Unit of Measurement That Matters

    23. Section 3.3 — The Mechanical Journal

    24. Section 3.4 — Critical Thinking as the Multiplier

    25. Section 3.5 — Northspyre Application: One Week of Mechanical Journaling

    26. [LG/H] Module 3 – Closing Self-Assessment: Mechanical Journal

    27. Section 4 Opener: NSF "Consent Decision"

    28. 4.0 – Measuring Mastery Velocity

    29. Module 4 – Opening Self-Assessment

    30. ARIA Teach Activation — Opening Anchor

    31. Section 4.1 — Why Measuring Your Learning Velocity Matters

    32. Section 4.2 — The Cold Email Scoring Instrument

    33. Section 4.3 — The LG/H Exercise: Five Emails

    34. Section 4.4 — The Connection to Revenue

    35. [LG/H] Module 4 – Closing Self-Assessment: LG/H Calculation Sheet

    36. 5.0 – AI-Augmented CRM & Prospecting

    37. Module 5 – Opening Self-Assessment

    38. ARIA Teach Activation — Opening Anchor

    39. Section 5.1 — From Skills to Systems

    40. Section 5.2 — Apollo.io: The Exclusive Prospecting Platform

    41. Section 5.3 — The Northspyre Prospecting Sequence

    42. Section 5.4 — The Three Workflow Non-Negotiables

    43. [LG/H] Module 5 – Closing Self-Assessment: Apollo.io Sequence

    44. 6.0 – Revenue Signals vs "Noise"

    45. Module 6 – Opening Self-Assessment

    46. ARIA Teach Activation — Opening Anchor

    47. Section 6.1 — Activity vs. Execution: Reading Your Own Data

    48. Section 6.2 — Perplexity as the BDA's Research Co-Pilot

    49. Section 6.3 — Building the Reusable Research Prompt

    50. Section 6.4 — Reading Your Own Activity Data

    51. [LG/H] Module 6 – Closing Self-Assessment: Discovery Briefs + Reflection

    52. 7.0 – Portfolio Capstone - AI Collaboration Evidence

    53. Module 7 – Opening Self-Assessment

    54. ARIA Teach Activation — Opening Anchor

    55. Section 7.1 — What a Portfolio Is and Why This One Is Different

    56. Section 7.2 — The Five-Section Portfolio Structure

    57. Section 7.3 — Building Your Portfolio with Claude: Your First Independent Claude Project

    58. Section 7.4 — How to Present This Portfolio

    59. Section 7.5 — The Custom AI Training Connection

    60. Module 7 Closing Assessment — Final Portfolio Submission

    1. The Trust-Speed Ledger Exercise (Module 6 Upgrade)

    2. The "Institutional Transparency" Syllabus Entry (v2.0 Preamble Upgrade)

    1. Authority Branding: Transforming News Media into Business Development and Sales Execution

    1. 0.X – Compute Ecosystem & Industrialized Digital Assets 101 (C3P framing)

    2. 0.1 – Power‑First Mindset for C3P Sites (P)

    3. 0.2 – Site Selection, Land, Zoning & Entitlements (C3P: P + Cool + Conn)

    4. 0.3 – Connectivity & Utility Agreements (Conn + P)

    5. 0.4 – Cooling & Water as a Location Filter (Cool + ESG)

    6. 0.5 – Campus Strategy, Phasing & Cost‑Per‑MW Economics (Compute + P + Cool)

    7. 0.6 – Risk Stack & ESG for C3P Projects (All four)

    8. 0.7 – Digital Backbone & Source‑of‑Truth Habits (C3P + Northspyre)

About this course

  • Free
  • 136 lessons
  • 0 hours of video content

Discover your potential, starting today