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IT: Artificial Intelligence & Data
Foundations of Enterprise AI Adoption
Curriculum
1 Section
25 Lessons
30 hours
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Unit 1 — Foundations of Enterprise AI Adoption
25
1.1
CHALLENGES FACED BY COMPANIES IMPLEMENTING ENTERPRISE-WIDE AI
20 mins
1.2
THE PILLARS OF RESPONSIBLE AI
20 mins
1.3
THE USE CASE IDENTIFICATION PROCESS FLOW
20 mins
1.4
BENEFITS AND FACTORS TO CONSIDER WHEN CHOOSING AN AI/ML SERVICE
20 mins
1.5
SUCCEEDING THROUGH A PEOPLE-CENTRIC APPROACH
20 mins
1.6
UNDERSTANDING THE ROLES AND RESPONSIBILITIES IN AN ML PROJECT
20 mins
1.7
REFERENCE ARCHITECTURE PATTERNS FOR TYPICAL USE CASES
20 mins
1.8
CENTRAL ROLE OF MLOps IN BRIDGING INFRASTRUCTURE, DATA, AND MODELS
20 mins
1.9
UNDERSTANDING YOUR DATA NEEDS
20 mins
1.10
BACK TO THE BASICS: WHAT IS ARTIFICIAL INTELLIGENCE?
20 mins
1.11
STANDARDIZING MODEL DEPLOYMENT, MONITORING, AND GOVERNANCE
20 mins
1.12
MONITORING MODELS
20 mins
1.13
SCALING AI TO BECOME AN AI-FIRST COMPANY
20 mins
1.14
THE RISE AND REACH OF GENERATIVE AI
20 mins
1.15
EMERGING AI TRENDS
20 mins
1.16
HOW DIGITAL NATIVES TACKLE AI ADOPTION
20 mins
1.17
WORKBOOK TEMPLATE: RESPONSIBLE AI DESIGN TEMPLATE
20 mins
1.18
PRIORITIZING YOUR USE CASES
20 mins
1.19
AWS AI AND ML SERVICES
20 mins
1.20
ALIGNING YOUR ORGANIZATION AROUND AI ADOPTION TO ACHIEVE BUSINESS OUTCOMES
20 mins
1.21
WORKBOOK TEMPLATE: TEAM BUILDING MATRIX
20 mins
1.22
FACTORS TO CONSIDER WHEN BUILDING AN ML PLATFORM
20 mins
1.23
MODEL OPERATIONALIZATION
20 mins
1.24
BENEFITS AND CHALLENGES OF CLOUD-BASED DATA PROCESSING
20 mins
1.25
FACTORS TO CONSIDER WHEN CHOOSING A MACHINE LEARNING ALGORITHM
20 mins
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