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

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