Verified Job
Trainer
DevOps and Iot Modeling and da Trainer (Jaipur)
Trainer
#794147
Remote / WFH
EdCEPT LEARNING PRIVATE
Job Description
Job description
Job Description: DevOps & IoT Modeling and Data Analytics Freelance Trainer
Position: Freelance Trainer - DevOps & IoT Modeling and Data Analytics
Duration: 30-hour workshop
Target Audience: 3rd-year B.Tech students (CS, IT, ECE)
Mode: Virtual/In-Person (as per requirement)
Job Overview:
We are looking for an experienced DevOps & IoT Modeling and Data Analytics Trainer to conduct a 30-hour hands-on workshop for 3rd-year B.Tech students. The trainer will be responsible for delivering interactive sessions, providing real-world insights, and ensuring practical exposure to key DevOps practices and IoT-based data analytics.
Key Responsibilities:
- Design and deliver a structured 30-hour workshop covering DevOps principles, IoT modeling, and data analytics techniques.
- Conduct hands-on training on DevOps tools (Git, Jenkins, Docker, Kubernetes, Terraform, CI/CD pipelines).
- Guide students in IoT data collection, processing, and analytics using Python, AI/ML, or cloud platforms.
- Provide live demonstrations of DevOps automation
Job Description: DevOps & IoT Modeling and Data Analytics Freelance Trainer
Position: Freelance Trainer - DevOps & IoT Modeling and Data Analytics
Duration: 30-hour workshop
Target Audience: 3rd-year B.Tech students (CS, IT, ECE)
Mode: Virtual/In-Person (as per requirement)
Job Overview:
We are looking for an experienced DevOps & IoT Modeling and Data Analytics Trainer to conduct a 30-hour hands-on workshop for 3rd-year B.Tech students. The trainer will be responsible for delivering interactive sessions, providing real-world insights, and ensuring practical exposure to key DevOps practices and IoT-based data analytics.
Key Responsibilities:
- Design and deliver a structured 30-hour workshop covering DevOps principles, IoT modeling, and data analytics techniques.
- Conduct hands-on training on DevOps tools (Git, Jenkins, Docker, Kubernetes, Terraform, CI/CD pipelines).
- Guide students in IoT data collection, processing, and analytics using Python, AI/ML, or cloud platforms.
- Provide live demonstrations of DevOps automation
