Changelog

Updates, new features, and improvements to AI Analyst Academy.

Current version: v1.4.0
New Content v1.4.0

Tacit Knowledge & Data Betrayal

Addressing the gap between knowing frameworks and applying them under pressure with observation-based learning and AI error recovery training.

Highlights

  • New Module 5.5: Stakeholder Conversations Observed — learn by watching expert conversations before practicing
  • New Crisis 5: Data Betrayal — recover from presenting AI-hallucinated information mid-meeting
  • Three detailed case studies with inline expert commentary
  • Pattern extraction exercises for tacit knowledge transfer
  • Lab 7c expanded to 75 minutes with 5 crisis scenarios
New Content v1.3.0

Experiential Learning & Certification

Major curriculum expansion addressing the gap between theory and practice with interactive simulations and a formal certification framework.

Highlights

  • New Module 1.6: AI Mental Models — understand how LLMs work, not just how to use them
  • Lab 8: Stakeholder Simulation — practice difficult conversations with AI personas
  • Lab 7c: Crisis Response — compressed crisis scenarios for judgment building
  • 5 new Sandbox personas for stakeholder practice
  • Portfolio Certification Framework with 4 certification levels
Improvement v1.2.0

Answer Engine Optimization

Comprehensive AEO implementation to ensure content is optimized for AI answer engines.

Highlights

  • Structured data for all pages (JSON-LD)
  • FAQ schema for common questions
  • Course and module schema for learning content
  • Improved meta descriptions and canonical URLs
New Feature v1.1.0

Analytics & Tracking

Privacy-focused analytics to understand how learners use the platform.

Highlights

  • Vercel Analytics integration
  • Custom event tracking for learning progress
  • CTA click tracking for optimization
  • No personal data collection
New Feature v1.0.0

Initial Launch

AI Analyst Academy launches with complete curriculum covering 6 phases of AI implementation skills.

Highlights

  • 6 phases covering AI literacy to enterprise architecture
  • 24+ modules with WHY-WHAT-HOW structure
  • 12+ hands-on labs with real-world scenarios
  • Progress tracking with spaced repetition
  • AI Sandbox for prompt practice
  • Portfolio system for deliverables