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AWS Enterprise Case Studies | edForce AWS Training & Certification
AWS × edForce Enterprise Stories

AWS Enterprise Case Studies.

Customer-verified experiences from 99acres, Qubryx LLC and Physics Wallah following their AWS sessions with edForce — covering Agentic AI, GenAI, cloud architecture, scalability and enterprise AWS evaluation.

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Customer-verified enterprise stories
Customer perspective

Three organizations. Three different AWS conversations.

Each story reflects feedback shared with edForce following the respective session. The focus is on what was discussed, what the organization explored next and what was actually communicated back to edForce.

01 / 03

99acres

Agentic AI and enterprise architecture, with emphasis on security, governance, scalability and architectural decision-making.

02 / 03

Qubryx LLC

GenAI strategy and enterprise readiness, moving beyond experimentation toward evaluation of upcoming AI initiatives.

03 / 03

Physics Wallah

Cloud scale and Agentic AI evaluation for a large EdTech environment serving more than 100 million learners.

AWS customer stories

What the organizations shared.

The following summaries are grounded in feedback shared with edForce following the respective sessions. No deployment, revenue or performance metric is presented unless it was explicitly stated.

01
Agentic AI & Enterprise Architecture
Customer feedback

AWS Agentic AI: Enterprise Architecture & Governance Insights

edForce delivered an AWS edTalk on Agentic AI, giving 99acres technology teams practical context on enterprise AI implementation, including Amazon Bedrock and considerations around security, governance, scalability and architectural decision-making.

Focus

Understanding enterprise AI implementation challenges and the architectural considerations involved in moving beyond experimentation.

What edForce covered

Agentic AI, Amazon Bedrock, security, governance, scalability and cloud-native AI architecture considerations.

Outcome

The session provided useful context for evaluating how AI could be adopted within the AWS ecosystem and was recommended to colleagues exploring cloud-native AI architectures.

TCO analysis

No formal TCO analysis was reported in the customer feedback.

“The session was also recommended to colleagues who are exploring cloud-native AI architectures or looking to better understand the AWS ecosystem for enterprise AI.”

— Abhijeet Kumar, 99acres / Info Edge
02
GenAI & Enterprise Scalability
Customer feedback

AWS GenAI: Enterprise Readiness & Strategic Planning

edForce delivered an AWS GenAI session for Qubryx LLC, helping the technical team move beyond experimentation and evaluate enterprise AI requirements across AWS-native services, security, scalability, governance and cost alignment.

Focus

Moving beyond initial GenAI experimentation toward practical enterprise-ready AI evaluation and strategic planning.

What edForce covered

AWS-native services and strategic considerations for enterprise AI initiatives, with emphasis on security, scalability, governance and cost alignment.

Outcome

Following the session, Qubryx initiated internal discussions to evaluate AWS as a foundation for upcoming AI-driven initiatives and proof-of-concept programs.

TCO analysis

Cost alignment was discussed as part of enterprise AI planning; no formal TCO analysis was reported in the customer feedback.

“The AWS GenAI session by edForce helped us move beyond experimentation and better understand what enterprise-ready AI implementation requires.”

— Jitin Rathi, Lead Engineer, Qubryx LLC
03
Scale & AI Evaluation
Customer feedback

AWS Agentic AI Evaluation for a High-Scale EdTech Platform

edForce delivered an AWS edTalk on Agentic AI Foundations to Physics Wallah, exploring AWS approaches for high-traffic events and potential AI use cases across personalised learning, intelligent tutoring and student engagement.

Context

Physics Wallah serves over 100 million learners through live classes, recorded content, assessments and AI-powered learning experiences.

What edForce covered

Auto Scaling, Elastic Load Balancing and CloudFront for high-traffic scenarios, alongside Amazon Bedrock and Amazon SageMaker for potential AI use cases.

Outcome

The session prompted internal discussions at Physics Wallah to further evaluate AWS as a strategic platform for future AI and cloud transformation initiatives.

TCO analysis

No formal TCO analysis was reported in the customer feedback.

“Following the session, we have initiated internal discussions to further evaluate AWS as a strategic platform for future AI and cloud transformation initiatives.”

— Udit Narayan Mishra, Physics Wallah
Evidence matters

Customer-verified stories.

The stories and quotes on this page are based on feedback shared by the participating organizations following their edForce AWS sessions.

Customer feedback: the basis for the outcomes presented.
Customer quotes: presented as shared by the participating organizations.
Evaluation-stage conversations: described as evaluation, not as deployed production solutions.
No unsupported claims: no deployment, revenue or performance claims have been added.
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AWS Case study (#14)