Module 3 - Overview

This module helps you assess and build the technical and organizational foundations needed for successful AI implementation. You'll understand the infrastructure requirements and learn to prepare your organization for AI adoption.

Lessons

Lesson 1: Assessing Your AI Readiness

• Technical readiness evaluation
• Data infrastructure assessment
• Skills and capability gap analysis
• Organizational readiness factors
• Tool: Comprehensive AI Readiness Assessment

Lesson 2: Building Your Data Foundation

• Data strategy development
• Data governance frameworks
• Data collection and storage infrastructure
• Data quality management
• Exercise: Data Strategy Blueprint

Lesson 3: Technical Infrastructure for AI

• Cloud vs. on-premises considerations
• Computing resources required for AI
• Integration with existing systems
• Build vs. buy decisions
• Checklist: AI Infrastructure Requirements

Lesson 4: The AI Technology Stack

• Understanding the complete AI stack
• Data processing and storage options
• Development and deployment platforms
• Monitoring and management tools
• Resource: AI Technology Stack Guide

Lesson 5: Security and Compliance Considerations

• Data protection strategies
• AI-specific security concerns
• Regulatory compliance frameworks
• Privacy-preserving AI techniques
• Case Study: Secure AI Implementation at Financial Institutions

Module Resources

• AI Readiness Assessment Tool
• Data Infrastructure Checklist
• Cloud Provider Comparison Guide
• AI Security and Compliance Framework