AWS Education Podcast

In this episode, Pratik Chunawala shares his experience bridging the gap between academia and industry through deep partnerships with NYU Tandon, Carnegie Mellon University, and the City University of New York (CUNY). As a Principal Consultant in AWS ProServe, Pratik discusses how he's helping shape curriculum to prepare students for the AI era, moving beyond tool usage to governance, security architecture, and spec-driven development. He also shares his bold 2031 prediction for where AI is headed.

Key Discussion Points

• Serving on the NYU Tandon Alumni Advisory Council to mentor women in STEM and underrepresented students
• Visiting lecturer role at Carnegie Mellon University connecting curriculum to industry best practices
• New appointment to CUNY's AI and Emerging Tech Advisory Committee
• Evolving curriculum from "learning to build AI" to "learning to govern AI in mission-critical systems"
• Hands-on industry sessions bringing NYU students into Amazon's Bryant Park office with executive speakers
• Spec-driven development with Kiro as a teaching methodology for real-world problem solving
• Kiro for Students program: 1 year of free access with 1,000 monthly credits, no credit card required
• The 2031 prediction: AI becomes invisible infrastructure, like electricity or the farming tractor

Featured Technologies

• Kiro (Agentic IDE)
• Spec-Driven Development
• Agentic AI

Key Takeaways

• Curriculum must shift focus from how tools work to how to apply tools to industry-specific problems, tools will be outdated by graduation
• Spec-driven development teaches students to work backwards from problems, using steering documents rather than white coding or basic prompting
• Kiro for Students lowers the barrier to entry with free, usage-based access across 11 initial universities including NYU
• The most underrated professional skill: communicating technical decisions to non-technical stakeholders with competing incentives
• Industry-academia partnerships give students exposure to real failure modes, interoperability challenges, and system security considerations

Tags

#GenAI #EdTech #AWS #AgenticAI #AmazonKiro #HigherEducation #AIinEducation #SpecDrivenDevelopment #WomenInSTEM #StudentSuccess #UniversityPartnerships #FutureOfWork #CurriculumDesign #NYUTandon #CUNY #CarnegieMellon #AWSProServe #KiroForStudents #IndustryAcademia #DigitalTransformation

In this episode, Sarah Currey shares her insights on building a culture of security through AWS's Security Champions program and the innovative approaches to AI security in the age of autonomous agents. She discusses the launch of the free Security Champion Knowledge Path on AWS Skill Builder, AWS's partnership with Mido Academy in South Africa, and critical considerations for securing agentic AI systems in education and beyond.

Key Discussion Points

• AWS Guardian's Program with 5,000+ security champions driving velocity and security outcomes
• Launch of the free Security Champion Knowledge Path on AWS Skill Builder with Credly certification
• Partnership with Mido Academy in South Africa creating cybersecurity pathways out of poverty
• Emotional intelligence and soft skills as critical differentiators in the AI automation era
• Agentic AI security challenges and the AWS Agentic AI Scoping Matrix framework
• Shift-left security approach and embedding security throughout application lifecycle

Featured Technologies

• AWS Skill Builder
• AWS Security Reference Architecture
• Agentic AI Scoping Matrix
• Gen AI Scoping Matrix
• Amazon Bedrock
• MCP Server Integration

Key Takeaways

• Security champions increase product launch velocity by embedding security expertise across development teams
• The Security Champion Knowledge Path offers free training with interactive Simulearn simulations and Credly certification
• Mido Academy achieved 72% internship placement and 38% conversion to permanent employment in 2024
• Agentic AI systems require fundamentally different security approaches than traditional cloud models
• Four critical questions for AI security: What can the agent access? What actions can it take? Does it require human approval? What's the scope of impact?

Resources Mentioned

• AWS Skill Builder Security Champion Knowledge Path
• Credly Badge Certification
• AWS Agentic AI Scoping Matrix
• AWS Gen AI Scoping Matrix
• AWS Security Reference Architecture for AI
• Mido Academy Partnership
• Women in Cybersecurity
• The Cyber Guild

Tags

#AWS #CyberSecurity #SecurityChampions #AISecurity #AgenticAI #EdTech #HigherEducation #SkillBuilder #SecurityTraining #MidoAcademy #SouthAfrica #CyberSecurityEducation #CloudSecurity

Episode Details 

• Date:  April 13, 2026
• Duration: ~26 minutes 
• Speakers: Pranusha Manchala (Host), Joe Chapman (Principal Solutions Architect at AWS) 

Episode Summary 

In this episode, Joe Chapman joins Pranusha Manchala to discuss the critical importance of resiliency in generative AI applications for education. Joe shares his expertise on building highly reliable and resilient AI systems, exploring how EdTech companies can ensure their AI-powered platforms remain available and trustworthy when students, teachers, and administrators need them most. The conversation covers shared fate architecture, fault isolation strategies, monitoring best practices, and actionable steps for implementing resilient Gen AI systems. 

Key Discussion Points 

• Evolution of EdTech from cloud migration to COVID-era scaling to Gen AI integration 
• Why availability is non-negotiable for AI-powered learning platforms 
• Understanding shared fate and blast radius in Gen AI architectures 
• Fault isolation boundaries and hard vs. soft dependencies 
• New monitoring dimensions specific to Gen AI systems 
• Resiliency as a continuous journey, not a one-time implementation 
• Practical testing strategies for Gen AI workloads at peak utilization 

Featured Technologies 

• Amazon Bedrock 
• Multi-region inference 
• Reasoning models 
• AI agents and tools 
• Knowledge base systems 

Key Takeaways 

• Students and teachers work on critical deadlines (11 PM before midnight submissions), making 24/7 availability essential 
• AI implementations showing 10+ points higher accuracy require resilient infrastructure to maintain trust 
• Five pillars of resilient systems: redundant components, sufficient capacity, timely output, correct output, and fault isolation 
• Gen AI-specific metrics include reasoning traces, tool invocation patterns, and response quality baselines 
• Amazon Bedrock's multi-region inference automatically doubles capacity by load balancing across regions 
• Start small with managed services and scale resiliency practices with system maturity 

Tags 

#GenAI #EdTech #AWS #Resiliency #AmazonBedrock #HigherEducation #AIinEducation #CloudArchitecture #DigitalTransformation #StudentSuccess 

Episode Details 

• Date: March 30, 2026 
• Duration: ~23 minutes 
• Host: Pranusha Manchala  
• Guests:  
• Darren Kraker, Solutions Architect, AWS Cloud Innovation Center 
• Ryan Maine, Director of Student Services, Walnut Valley Unified School District 
• Jeremy Goins, Deputy Superintendent, Corona Norco Unified School District 
• Sharon Liang, Software Engineer Intern

Episode Summary 

This episode explores CoTeacher, an innovative generative AI-powered tool developed through collaboration between AWS Cloud Innovation Center and California school districts. The solution addresses a critical challenge in education: helping teachers efficiently manage and implement individualized accommodations for diverse learners. CoTeacher instantly surfaces required student accommodations from IEPs and 504 plans while providing actionable teaching guidance, enabling educators to deliver more inclusive instruction confidently and efficiently. 

Key Discussion Points 

• The overwhelming demands on teachers managing diverse student needs, IEPs, and 504 plans 
• How CoTeacher emerged from collaborative problem-solving between educators and AWS 
• The rapid prototyping process at AWS Cloud Innovation Center (4-week MVP turnaround) 
• Teacher involvement in product development and continuous feedback loops 
• Building trust through data privacy, security, and responsible AI implementation 
• AI as an accelerator for teachers, not a replacement 

Featured Technologies 

• Amazon Bedrock with Claude Sonnet model 
• AWS Lambda 
• Amazon API Gateway 
• Amazon DynamoDB 
• Amazon Cognito 
• AWS Amplify 

Key Takeaways 

• Teachers manage 180+ students with varying IEPs, 504s, and English language learner needs 
• CoTeacher provides a "scouting report" on each student, surfacing strengths, challenges, and proven strategies 
• The solution uses serverless, API-driven architecture for security and scalability 
• Teachers remain in the driver's seat while AI accelerates their effectiveness 
• The tool enables seamless knowledge transfer as students progress through grades 

Resources Mentioned 

• AWS Cloud Innovation Center 
• IEPs (Individual Education Plans) 
• 504 Plans 
• ELPAC Testing 

Tags 

#EdTech #InclusiveEducation #AWS #GenerativeAI #TeacherSupport #SpecialEducation #K12Education #AmazonBedrock #CloudInnovation #StudentSuccess #AIinEducation #DigitalTransformation 

Episode Details 

• Date: March 16, 2026 
• Duration: ~26 minutes 
• Host: Pranusha Manchala  
• Guest: Mike Kenny, Owner of Math Fact Lab 

Episode Summary 

In this episode, Mike Kenny shares the inspiring journey of Math Fact Lab, a platform revolutionizing how students master foundational math skills. As a former fifth-grade math teacher with 19 years of experience, Mike discusses how he transformed his classroom materials into a cloud-hosted application that helps students develop math fact fluency through research-based strategies rather than traditional memorization. He reveals how AWS has supported Math Fact Lab's growth from a bootstrapped startup to serving schools and districts nationwide, emphasizing the importance of conceptual understanding and personalized learning in mathematics education. 

Key Discussion Points 

• Evolution from classroom teacher to EdTech entrepreneur 
• Research-based approach to math fact fluency vs. traditional memorization 
• Platform design for personalized learning with customizable settings 
• Scaling from individual teachers to school districts with rostering integrations 
• Student success metrics showing 40% to 90% improvement in fact mastery 
• AWS's role in enabling secure, scalable infrastructure for student data 
• Future expansion into integer operations for middle school students 

Featured Technologies 

• AWS Cloud Infrastructure 
• Clever and ClassLink rostering integrations 
• Visual learning models (dice, area models, ten frames) 
• Adaptive assessment systems 

Key Takeaways 

• Strategy-based learning outperforms memorization for long-term math fluency 
• Personalization (adjustable time limits, learning tracks) accommodates diverse student needs 
• AWS startup programs provided critical early-stage support for bootstrapped ventures 
• Customer feedback drives continuous product evolution and feature development 

Resources Mentioned 

• Math Fact Lab: mathfactlab.com 
• AWS Startup Programs 
• Research on math anxiety and timed tests 

Tags 

#EdTech #MathEducation #AWS #StudentSuccess #K12Education #DigitalLearning #CloudComputing #StartupJourney #PersonalizedLearning #Education 

Episode Details 

• Date: 2026-03-02 
• Duration: ~15 minutes 
• Speakers: Leo Zhadanovsky (Host), Zach Pendleton (Chief Architect at Instructure) 

 Episode Summary 

In this episode, Zach Pendleton, Chief Architect at Instructure, shares how the company built Ignite AI—an agentic AI solution powered by Amazon Bedrock—to transform educator and student experiences in Canvas LMS. Zach discusses the journey from concept to beta in just 6 months, the technical architecture decisions, and how they addressed critical concerns around data privacy and responsible AI implementation in education. 

 Key Discussion Points 

• Instructure's 14-year evolution to become the largest LMS in the United States 
• Development of Ignite AI to save educators time and automate complex workflows 
• Building agentic experiences that go beyond simple chatbots 
• Rapid development timeline: concept to beta in 6 months 
• Partnership with AWS and leveraging the Generative AI Innovation Center 
• Addressing data privacy and residency requirements across global markets 
• Educator adoption journey from AI resistance to excitement 
• Future vision for multimodal and voice-enabled learning experiences 

 Featured Technologies 

• Amazon Bedrock 
• Model Context Protocol (MCP) 
• Agentic AI architecture 
• Voice-to-voice AI (Sonic model) 

Key Takeaways 

• Multi-model architecture enabled testing and optimization across different AI models through a single API 
• Building evaluation pipelines early accelerates safe experimentation with new models 
• AWS's global infrastructure enabled compliance with data residency laws across US, Canada, EU, and Pacific regions 
• Successful AI implementation starts with customer problems, not technology-first approaches 
• Ignite Agent automates complex tasks like content authoring and student accommodations that previously took hours 

 Resources Mentioned 

• AWS Generative AI Innovation Center 
• Anthropic Claude models 

 Tags 

#EdTech #HigherEducation #AWS #AmazonBedrock #AI #AgenticAI #LMS #Canvas #Instructure #DigitalTransformation #GenerativeAI #Education #Innovation 

Episode Details 

• Date: 2026-02-16 
• Duration: ~7 minutes 
• Speakers: Leo Zhadanovsky (Host, Enterprise Technologist for Education at AWS), Gayathri Rengarajan (Guest, Associate Director of Data Science at PowerSchool) 

Episode Summary 

In this special re:Invent episode, Gayathri from PowerSchool shares the journey of building Power Buddy, an AI-powered learning assistant that evolved from a hackathon project to a full suite of products serving over 60 million K-12 students. The conversation focuses on implementing robust content filtering using fine-tuned models on AWS SageMaker, addressing student safety concerns while reducing false positives, and the future of agentic AI in education technology. 

Key Discussion Points 

• Evolution of Power Buddy from hackathon project to production suite 
• Implementation of strict content filtering for student safety in AI interactions 
• Challenge of balancing safety with reducing false positive notifications for administrators 
• Fine-tuning smaller models (Llama 8B) for domain-specific content filtering 

Featured Technologies 

• Llama 8 billion parameter model 
• AWS SageMaker AI 

Key Takeaways 

• Fine-tuning smaller models for specific educational use cases reduced false positive rates to less than 3% 
• Technology stack and models should remain flexible while keeping security, reliability, and scalability constant 
• Close collaboration with cloud providers accelerates AI implementation and optimization 
• The future of EdTech AI is moving toward agentic systems with improved observability and evaluation capabilities 

Resources Mentioned 

• AWS SageMaker AI 
• Llama model family 
• AWS Agent Core 
• AWS Bedrock 

Tags 

#EdTech #K12Education #AWS #AI #MachineLearning #StudentSafety #ContentFiltering #PowerSchool #SageMaker #AgenticAI #reInvent 

Episode Details: 

• Duration: ~29 minutes 
• Host: Bret Pontillo 
• Guests: 
• Bharath Prabhakaran - VP and Chief Digital Officer, University of Cincinnati 
• Josette Riep - AVP of Integrated Data Engineering and Application Services, University of Cincinnati 

Episode Summary: 

In this episode, Bret Pontillo sits down with two leaders from the University of Cincinnati to discuss their comprehensive digital transformation journey. Bharath Prabhakaran and Josette Riep share insights on modernizing a 200+ year old institution serving 54,000 students across three campuses. They discuss their four-pillar approach to digital transformation, including operational excellence, cybersecurity, modernization, and innovation through AI and data analytics. The conversation covers their implementation of modern data architecture using AWS, Snowflake, and Informatica, the launch of their AI enablement community of practice, and their vision for personalized learning experiences powered by agentic AI. 

Key Discussion Points: 

• Four-pillar digital transformation framework: operational excellence, cybersecurity/resiliency, modernization, and innovation 
• Centralization of distributed IT operations across colleges and units 
• Implementation of Bearcat Insights platform using AWS, Snowflake, and Informatica 
• Launch of AI enablement community of practice with 75+ use cases submitted 
• Development of Bearcat Portal as unified student experience platform 
• Transition from data silos to integrated enterprise data strategy 
• Building CMMC compliant research enclave on AWS 
• Addressing the demographic cliff and enrollment challenges in higher education 

Key Takeaways: 

• Digital transformation requires focus on people, process, and technology - in that order 
• Building trust with data owners is critical for breaking down data silos 
• Innovation must come from the edge, not the center - community-driven approach works 
• Change leadership and relationship building are essential in higher education governance 
• Workforce upskilling is critical to prepare teams for AI-enabled future 
• Personalized learning at scale will be enabled through agentic AI workflows 

Resources Mentioned: 

• University of Cincinnati "Next Lives Here" strategic direction 
• CMMC (Cybersecurity Maturity Model Certification) 

Tags: 

#HigherEducation #DigitalTransformation #AWS #DataStrategy #AI #EdTech #CyberSecurity #StudentExperience #Innovation #UniversityOfCincinnati #Bearcats #CloudComputing #ModernDataArchitecture 

Episode Details:

• Duration: ~32 minutes
• Date: 2026-01-26
• Speakers: Bret Pontillo (Host), Ludo Francois (CEO & Founder, TrackIt), Brad Winett (President & Partner, TrackIt)

Episode Summary:

In this episode, Bret Pontillo sits down with TrackIt's leadership team to explore how system integrators are transforming education through AWS cloud solutions. Ludo Francois and Brad Winett share their journey from traditional infrastructure to cloud-native solutions, discussing how they're helping educational institutions leverage streaming media, AI, and custom applications. The conversation covers everything from virtual classroom technology to innovative partnerships with institutions like Epitech Paris, demonstrating how cloud technology is making education more accessible and engaging.

Key Discussion Points:

• TrackIt's evolution from storage infrastructure to AWS-focused system integrator
• Building custom streaming solutions for educational content delivery
• Monetization strategies for educational media (ad insertion, subscription models)
• Virtual classroom technology and student experience optimization
• Partnership model with Epitech Paris for hands-on AWS training
• AI applications in education (curriculum building, virtual tutors, automated testing)
• Custom video platforms as alternatives to YouTube for educational content

Featured Technologies:

• Amazon CloudFront
• AWS IVS (Interactive Video Service)
• Amazon ECS and EKS (Kubernetes)
• Custom CDN solutions
• AI/ML services for education

Key Takeaways:

• Cloud technology enables educational institutions to transition from in-person to virtual classrooms effectively
• Custom streaming platforms provide educators with full control over content monetization and user experience
• Hands-on, lab-based training programs accelerate cloud skills development for students
• AI is transforming education through personalized tutoring, automated assessment, and curriculum development
• Strategic partnerships between tech companies and educational institutions create symbiotic learning opportunities

Resources Mentioned:

• Trackflix (custom Netflix-like platform for education)
• Epitech Paris Graduate School of Digital Innovation
• AWS SkillBuilder
• TrackIt Medium articles
• TrackIt YouTube channel

Tags:

#EdTech #AWS #CloudComputing #StreamingMedia #VirtualClassroom #AIinEducation #HigherEducation #SystemIntegrator #DigitalTransformation #StudentExperience

Episode Details: 

• Date: 2026-01-19
• Duration: ~27 minutes 
• Speakers: Host - Bret Pontillo, Guest - Deepika Chopra (CEO & Founder of Alpha U AI, Author) 

Episode Summary: 

In this episode, Deepika Chopra, CEO and founder of Alpha U AI and author of "Move First, Align Fast," shares her insights on organizational alignment and AI adoption. Drawing from 15+ years in financial services and digital transformation, Deepika discusses why technology implementations fail despite having the best tools, and introduces frameworks for building trust-native AI systems. The conversation explores the critical gap between AI strategy and execution, focusing on the human side of technological change. 

Key Discussion Points: 

• The trust layer between AI strategy and execution 
• Why pilots fail to reach production despite green dashboards 
• Shadow AI and execution theater patterns in organizations 
• The difference between ethical AI and aligned AI 
• ACT framework: Align, Cultivate, Transform for measuring AI readiness 
• Human AI Alignment Score (HAAS) for leadership decision-making 
• Safe experimentation and execution advantage 
• Education as the proving ground for responsible AI 

Featured Technologies: 

• Investment Intelligence Platforms 
• AI Literacy Programs 
• Human AI Alignment Score (HAAS) 

Key Takeaways: 

• Trust and adoption are more critical than technology accuracy for successful AI implementation 
• The missing layer between strategy and execution is the trust layer built on clarity 
• Organizations should measure behavioral signals, not just dashboard metrics 
• Aligned AI focuses on "can we use this daily?" while ethical AI asks "should we use this?" 
• Education institutions are uniquely positioned to build AI-ready infrastructure through skills and trust development 

Resources Mentioned: 

• Book: "Move First, Align Fast" by Deepika Chopra (Published by Wiley) 
• Alpha U AI Platform 
• ACT Framework (Align, Cultivate, Transform) 

Tags: 

#AI #DigitalTransformation #AWS #Education #OrganizationalAlignment #TrustInAI #EdTech #Leadership #ChangeManagement #AIAdoption