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Amazon QuickSuite with Generative AI Trainer – Remote
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Amazon Quick Suite with Generative AI Trainer
Company: Innoture Digital Edge Work Mode: Remote / Online
About the Role:
Innoture Digital Edge is looking for an experienced and passionate Amazon Quick Suite with Generative AI Trainer to conduct live online, practical, and industry-oriented training programs for students and working professionals.
The ideal candidate should be able to explain Amazon Quick Suite, Amazon Quick Sight, Business Intelligence, Data Analytics, Generative BI, and Generative AI concepts from fundamentals to advanced levels, with hands-on exercises, real-world examples, interactive dashboards, AI-assisted analytics, and practical projects.
Updated Key Responsibilities:
Conduct live online Amazon Quick Suite and Generative AI training sessions.
Explain Amazon Quick Suite concepts from fundamentals to advanced topics.
Teach Amazon Quick Sight for dashboards, analytics, visualizations, and reporting.
Provide hands-on training in creating interactive dashboards and visualizations.
Teach data preparation, analysis, filtering, calculated fields, and reporting.
Explain data sources and integration with AWS data and analytics services.
Provide practical training on Generative BI capabilities in Amazon Quick Suite.
Demonstrate AI-assisted data analysis and natural-language data interaction.
Guide students in creating AI-powered analytics and reporting solutions.
Introduce relevant Amazon Quick Suite AI capabilities, analytics features, and workflows.
Guide students through practical AWS analytics, BI, and Generative AI projects.
Explain dashboard sharing, security, permissions, and access management.
Resolve student doubts and provide technical guidance.
Explain real-world applications of Quick Suite, BI, Data Analytics, and Generative AI.
Support students with project implementation and interview preparation.
AWS documentation describes Quick Suite as combining BI, AI assistance, analytics, automation, research, and related capabilities, while Quick Sight remains the component for interactive dashboards and analytics. AWS Documentation
Updated Requirements:
Strong practical knowledge of Amazon Quick Suite.
Hands-on experience with Amazon Quick Sight.
Experience in Business Intelligence and Data Analytics.
Good knowledge of dashboards, reports, visualizations, filters, calculated fields, and data analysis.
Understanding of Generative BI and AI-assisted analytics.
Experience working with AWS data and analytics services.
Knowledge of AWS services such as Amazon S3, Amazon Athena, and Amazon Redshift is preferred.
Good knowledge of SQL and data analysis concepts.
Understanding of Generative AI and its applications in analytics.
Experience with Python or other data analysis tools is an added advantage.
Good communication and presentation skills.
Ability to explain technical concepts clearly to beginners and working professionals.
Prior online training or teaching experience is preferred.
Industry experience in AWS, BI, Data Analytics, or Generative AI is an added advantage.
Compensation:
The trainer will receive a 60% revenue share based on the agreed training arrangement. Detailed revenue-sharing terms will be discussed with shortlisted candidates.
How to Apply
Interested candidates can share:
Updated Resume/CV
Amazon QuickSight, BI, Data Analytics, or Generative AI training experience
Topics and technologies they can teach
Previous training experience
Industry experience
Availability and preferred batch timings
LinkedIn or GitHub profile, if available
Suitable candidates will be contacted for a discussion/demo session.
