Edureka! Masterclass

Description

Description Deploying an AI Agent is only the beginning—running it reliably, efficiently, and cost-effectively in production is the real challenge. Join this session to learn how to scale AI agents for real-world workloads, evaluate their performance, monitor reliability, and optimize operational costs while maintaining high-quality outputs. What You'll Learn •Key challenges of deploying AI agents in production environments •Strategies for scaling agents to handle increasing workloads

Agenda

Production AI Agent Architecture Scaling Agents for Real-World Workloads Agent Evaluation & Performance Metrics Monitoring, Observability & Reliability Cost Control & Optimization Strategies Live Demo, Best Practices & Q&A Session

Description

Description Deploying an AI Agent is only the beginning—running it reliably, efficiently, and cost-effectively in production is the real challenge. Join this session to learn how to scale AI agents for real-world workloads, evaluate their performance, monitor reliability, and optimize operational costs while maintaining high-quality outputs. What You'll Learn •Key challenges of deploying AI agents in production environments •Strategies for scaling agents to handle increasing workloads

Agenda

Production AI Agent Architecture Scaling Agents for Real-World Workloads Agent Evaluation & Performance Metrics Monitoring, Observability & Reliability Cost Control & Optimization Strategies Live Demo, Best Practices & Q&A Session

Webinar Facts

• There will be 11.5 million jobs in the Data Science field by 2026

• A Senior Data Scientist is expected to earn over 20 to 25 Lacs a year

• Data Analytics Market is expected to grow a CAGR of 30.08%

Description

Join this hands-on session to explore how AI is revolutionizing Kubernetes management and CI/CD automation in modern DevOps environments. Learn how intelligent automation can streamline deployments, improve system reliability, optimize cloud resources, and reduce operational overhead. What You'll Learn How AI enhances Kubernetes operations and cluster management Automating CI/CD pipelines for faster and more reliable releases AI-driven monitoring, alerting, and incident response Intelligent res

Agenda

• Introduction to AI-Driven DevOps
• Kubernetes Operations Automation
• CI/CD Pipeline Intelligence
• Observability & Incident Response
• Infrastructure Optimization
• Live Demo & Q&A Session

Webinar Facts

• The DevOps market size is projected to reach $9,407 million by 2023

• ADP, BBC News, eBay, GE, ING, Intuit, PayPal, Splunk, Uber & other MNCs worldwide use DevOps

• The average salary given to a DevOps Engineer is around Rs. 617K per annum - Indeed.com

Description

Description Deploying an AI Agent is only the beginning—running it reliably, efficiently, and cost-effectively in production is the real challenge. Join this session to learn how to scale AI agents for real-world workloads, evaluate their performance, monitor reliability, and optimize operational costs while maintaining high-quality outputs. What You'll Learn •Key challenges of deploying AI agents in production environments •Strategies for scaling agents to handle increasing workloads

Agenda

Production AI Agent Architecture Scaling Agents for Real-World Workloads Agent Evaluation & Performance Metrics Monitoring, Observability & Reliability Cost Control & Optimization Strategies Live Demo, Best Practices & Q&A Session

Webinar Facts

• The value of the global machine learning market is likely to reach USD 117 billion by the end of 2027 at a CAGR of 39%. (GlobeNewswire)

• 65% of companies who are planning to adopt machine learning say the technology helps businesses in decision-making.

• The average salary for a machine learning engineer is $150,099 per year in the United States.- Indeed.com