MLOps & AI Deployment
This intensive 2–day training program is designed to equip participants with the skills to deploy, manage, and scale machine learning and AI models in production environments. The program focuses on practical implementation of MLOps practices, including model lifecycle management, CI/CD pipelines, monitoring, and cloud deployment. Participants will gain hands-on experience in building end-to-end AI pipelines aligned with real-world enterprise use cases.
Program Objectives
- Understand MLOps lifecycle and best practices
- Build end-to-end ML pipelines
- Apply CI/CD for AI systems
- Deploy models using cloud platforms
- Monitor and maintain AI models in production
- Optimize model performance in real-world environments
Program Prerequisites
- Strong knowledge of Python programming
- Familiarity with machine learning concepts
- Understanding of APIs and backend development
- Basic knowledge of cloud platforms is preferred
Targeted Audience
- AI Engineer
- Machine Learning Engineer
- Data Engineer
- DevOps Engineer
- Technical Graduates (AI / CS)
Program Level
- Intermediate to Advanced
For Registration:
