|
gptkbp:instance_of
|
gptkb:Certification
|
|
gptkbp:administered_by
|
gptkb:Red_Hat
|
|
gptkbp:associated_with
|
gptkb:Red_Hat_Ansible_Automation
gptkb:Red_Hat_Enterprise_Linux
gptkb:Red_Hat_Open_Shift
|
|
gptkbp:benefits
|
Career Advancement
Professional Recognition
Skill Validation
|
|
gptkbp:clinical_trial
|
4 hours
|
|
gptkbp:effective_date
|
3 years
Re-examination
|
|
gptkbp:exam_topics
|
gptkb:AI_Research
gptkb:analysis
gptkb:Computer_Vision
gptkb:Natural_Language_Processing
gptkb:AI_Ethics
gptkb:cloud_computing
gptkb:Big_Data
gptkb:Deep_Learning
gptkb:Data_Visualization
gptkb:AI_technology
Model Evaluation
Model Training
Performance-based
Model Optimization
Ethics in AI
AI Governance
Data Preparation
Monitoring and Maintenance
Deployment Strategies
AI Performance Metrics
AI in Industry
AI in Business
Hands-on Lab
EX284
AI Development Lifecycle
AI Deployment Models
AI Frameworks and Libraries
AI Project Management
AI Tools and Technologies
AI Trends and Future Directions
|
|
gptkbp:focuses_on
|
gptkb:Artificial_Intelligence
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Red Hat Certified Specialist in AI
|
|
gptkbp:is_part_of
|
gptkb:Red_Hat_certification_hierarchy
|
|
gptkbp:language
|
English
|
|
gptkbp:location
|
Global
|
|
gptkbp:preparation_material
|
gptkb:Red_Hat_Learning_Subscription
|
|
gptkbp:requires
|
gptkb:Red_Hat_Certified_System_Administrator
|
|
gptkbp:skills
|
gptkb:machine_learning
Data Analysis
Model Deployment
AI Frameworks
|
|
gptkbp:target_audience
|
IT Professionals
|