LONESTAR
ACADEMY
Courses
Log In
Join Free
Home
Courses
IT: Artificial Intelligence & Data
Enterprise AI MLOps and Monitoring
Curriculum
1 Section
24 Lessons
30 hours
Expand all sections
Collapse all sections
Unit 3 — Enterprise AI MLOps and Monitoring
24
1.1
THE AI/ML FRAMEWORK
20 mins
1.2
MLOps AUTOMATION: IMPLEMENTING CI/CD FOR MODELS
20 mins
1.3
REAL-TIME VS. BATCH MONITORING
20 mins
1.4
SUMMARY
20 mins
1.5
BEST PRACTICES WHEN IMPLEMENTING GENERATIVE AI AND ChatGPT
20 mins
1.6
EMERGING TRENDS IN DATA MANAGEMENT
20 mins
1.7
WORKBOOK TEMPLATE: AI CHALLENGES ASSESSMENT
20 mins
1.8
SUMMARY
20 mins
1.9
MACHINE LEARNING SERVICES
20 mins
1.10
REVIEW QUESTIONS
20 mins
1.11
WORKBOOK TEMPLATE: ENTERPRISE AI CLOUD PLATFORM SETUP CHECKLIST
20 mins
1.12
FEATURE ENGINEERING
20 mins
1.13
WORKBOOK TEMPLATE: AI/ML ALGORITHM SELECTION GUIDE
20 mins
1.14
WORKBOOK TEMPLATE: MODEL DEPLOYMENT PLAN
20 mins
1.15
TOOLS FOR MONITORING MODELS
20 mins
1.16
REVIEW QUESTIONS
20 mins
1.17
GENERATIVE AI CLOUD PLATFORMS
20 mins
1.18
WORKBOOK TEMPLATE: FUTURE OF AI ROADMAP
20 mins
1.19
SUMMARY
20 mins
1.20
REVIEW QUESTIONS
20 mins
1.21
THE GOOGLE AI/ML SERVICES STACK
20 mins
1.22
ANSWER KEY
20 mins
1.23
SUMMARY
20 mins
1.24
WORKBOOK TEMPLATE: DATA PROCESSING & FEATURE ENGINEERING WORKFLOW
20 mins
This content is protected, please
login
and
enroll
in the course to view this content!
S
Ask SIERA
YOUR DIGITAL ASSISTANT
×
Modal title
Main Content