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IT: Artificial Intelligence & Data
Deploying and Operationalizing AI
Curriculum
1 Section
24 Lessons
30 hours
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Unit 2 — Deploying and Operationalizing AI
24
1.1
DEPLOYING YOUR MODELS
20 mins
1.2
KEY STRATEGIES FOR MONITORING ML MODELS
20 mins
1.3
THE AI MATURITY FRAMEWORK
20 mins
1.4
THE POWER OF GENERATIVE AI/ChatGPT FOR BUSINESS TRANSFORMATION AND INNOVATION
20 mins
1.5
THE PRODUCTIVITY REVOLUTION
20 mins
1.6
GET READY: AI TRANSFORMATION IS MORE CHALLENGING THAN DIGITAL TRANSFORMATION
20 mins
1.7
USE CASES TO CHOOSE FROM
20 mins
1.8
CORE AI SERVICES
20 mins
1.9
WORKBOOK TEMPLATE: ORG CHANGE MANAGEMENT PLAN
20 mins
1.10
KEY COMPONENTS OF AN ML AND DL PLATFORM
20 mins
1.11
WORKBOOK TEMPLATE: ML OPERATIONS AUTOMATION GUIDE
20 mins
1.12
THE DATA PROCESSING PHASES OF THE ML LIFECYCLE
20 mins
1.13
DATA-DRIVEN PREDICTIONS USING MACHINE LEARNING
20 mins
1.14
SYNCHRONIZING ARCHITECTURE AND CONFIGURATION ACROSS ENVIRONMENTS
20 mins
1.15
TRACKING KEY MODEL PERFORMANCE METRICS
20 mins
1.16
WORKBOOK TEMPLATE: AI MATURITY ASSESSMENT TOOL
20 mins
1.17
IMPLEMENTING GENERATIVE AI AND ChatGPT
20 mins
1.18
CRITICAL ENABLERS
20 mins
1.19
CHOOSING BETWEEN SMALLER PoC POINT SOLUTIONS AND LARGE-SCALE AI INITIATIVES
20 mins
1.20
WORKBOOK TEMPLATE: USE CASE IDENTIFICATION SHEET
20 mins
1.21
SPECIALIZED AI SERVICES
20 mins
1.22
SUMMARY
20 mins
1.23
KEY COMPONENTS OF AN ENTERPRISE AI/ML HEALTHCARE PLATFORM
20 mins
1.24
UNDERSTANDING THE DATA EXPLORATION AND PREPROCESSING STAGE
20 mins
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