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Locus IT Services Pvt. Ltd, #1/2, Golden Heights Tech Park, MLCP 04 Rajajinagar 4th M Block, Bangalore - 560 010, KA | INDIA.
+91 (0)8071 295 448
info@locusit.com
09:00 - 18:00 (Mon-Fri)
Sweden | Denmark | Norway | Finland
LOCUS IT SERVICES (NORDIC), Regus, Svetsarvägen 15, 2tr, 171 41 Solna, Sweden
+46 72 851 05 43
sandra.m@locusit.se
+46 76 200 11 98
08:00 – 16:00 (Mon- Fri)
info@locusit.com
+91 (0)8071 295 448
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Event Stream and Webhooks Integration in Genesys Cloud
Genesys Cloud AppFoundry: Extending Platform Capabilities
Building Custom Applications with Genesys Cloud Developer Tools
Integrating Genesys Cloud with CRMs (Salesforce, Zendesk, etc.)
Genesys Cloud APIs and SDKs: Developer Fundamentals
Enhancing Customer Journeys with Genesys Cloud CX
Social Media and Web Messaging Integration in Genesys Cloud
Configuring Digital Channels and Messaging in Genesys Cloud
Managing Voice, Chat, and Email Channels in Genesys Cloud
Real-Time Dashboards and Reporting in Genesys Cloud
Quality Management and Performance Monitoring Genesys Cloud
Workforce Management in Genesys Cloud
Interaction Routing and Flow Design with Architect Genesys Cloud
Configuring Queues, Routing, and Architect in Genesys Cloud
User Management and Security in Genesys Cloud
Genesys Cloud Administration Essentials
Getting Started with Genesys Cloud Contact Center
Genesys Cloud: Platform Overview and Core Features
Introduction to Genesys Cloud CX
Microsoft Certified: Azure Solutions Architect Expert(AZ-305)
Advanced MLOps: Integrating DevOps and Machine Learning for Scalable Solutions
Security and Compliance in MLOps: Safeguarding ML Systems
Versioning and Model Deployment: Key Strategies in MLOps
Monitoring and Managing Machine Learning Models with MLOps
MLOps Best Practices: Ensuring Reproducibility and Collaboration in ML Projects
Building CI/CD Pipelines for Machine Learning with MLOps
MLOps with Kubernetes: Orchestrating Machine Learning Workflows
Implementing MLOps with Azure: Scaling Machine Learning Models
Mastering MLOps: Automating the ML Lifecycle from Development to Production
MLOps Fundamentals: Introduction to Machine Learning Operations
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