AWS Education Podcast

AWS

Welcome to "AWS Education Podcast" a groundbreaking podcast series hosted by AWS. In this engaging show, we explore the intersection of technology and education, uncovering how innovative solutions are transforming learning experiences for students and educators alike. Each episode features in-depth discussions with industry experts, educators, and thought leaders who share their insights on the latest trends, tools, and technologies shaping the future of education. From cloud computing and artificial intelligence to data analytics and immersive learning environments, we delve into how these advancements are empowering educators and enhancing student outcomes. Join us as we tackle pressing challenges in the education sector, showcase successful case studies, and provide actionable strategies for integrating technology into classrooms. Whether you’re an educator, administrator, or tech enthusiast, "AWS Education Podcast" offers valuable perspectives on harnessing the power of technology to create a more inclusive and effective learning environment. Tune in to discover how technology is not just a tool but a catalyst for change in education!

  1. May 5

    26: Bridging Academia & Industry; Shaping AI-Ready Talent

    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 studentsVisiting lecturer role at Carnegie Mellon University connecting curriculum to industry best practicesNew appointment to CUNY's AI and Emerging Tech Advisory CommitteeEvolving 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 speakersSpec-driven development with Kiro as a teaching methodology for real-world problem solvingKiro for Students program: 1 year of free access with 1,000 monthly credits, no credit card requiredThe 2031 prediction: AI becomes invisible infrastructure, like electricity or the farming tractorFeatured Technologies Kiro (Agentic IDE)Spec-Driven DevelopmentAgentic AIKey Takeaways Curriculum must shift focus from how tools work to how to apply tools to industry-specific problems, tools will be outdated by graduationSpec-driven development teaches students to work backwards from problems, using steering documents rather than white coding or basic promptingKiro for Students lowers the barrier to entry with free, usage-based access across 11 initial universities including NYUThe most underrated professional skill: communicating technical decisions to non-technical stakeholders with competing incentivesIndustry-academia partnerships give students exposure to real failure modes, interoperability challenges, and system security considerationsTags #GenAI #EdTech #AWS #AgenticAI #AmazonKiro #HigherEducation #AIinEducation #SpecDrivenDevelopment #WomenInSTEM #StudentSuccess #UniversityPartnerships #FutureOfWork #CurriculumDesign #NYUTandon #CUNY #CarnegieMellon #AWSProServe #KiroForStudents #IndustryAcademia #DigitalTransformation

    24 min

  2. Apr 20

    25: Building Security Champions & Educating Teams for the AI Era

    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 outcomesLaunch of the free Security Champion Knowledge Path on AWS Skill Builder with Credly certificationPartnership with Mido Academy in South Africa creating cybersecurity pathways out of povertyEmotional intelligence and soft skills as critical differentiators in the AI automation eraAgentic AI security challenges and the AWS Agentic AI Scoping Matrix frameworkShift-left security approach and embedding security throughout application lifecycleFeatured Technologies AWS Skill BuilderAWS Security Reference ArchitectureAgentic AI Scoping MatrixGen AI Scoping MatrixAmazon BedrockMCP Server IntegrationKey Takeaways Security champions increase product launch velocity by embedding security expertise across development teamsThe Security Champion Knowledge Path offers free training with interactive Simulearn simulations and Credly certificationMido Academy achieved 72% internship placement and 38% conversion to permanent employment in 2024Agentic AI systems require fundamentally different security approaches than traditional cloud modelsFour 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 PathCredly Badge CertificationAWS Agentic AI Scoping MatrixAWS Gen AI Scoping MatrixAWS Security Reference Architecture for AIMido Academy PartnershipWomen in CybersecurityThe Cyber GuildTags #AWS #CyberSecurity #SecurityChampions #AISecurity #AgenticAI #EdTech #HigherEducation #SkillBuilder #SecurityTraining #MidoAcademy #SouthAfrica #CyberSecurityEducation #CloudSecurity

    25 min
  3. 24: Resiliency in Gen AI Applications

    Apr 13

    24: Resiliency in Gen AI Applications

    Episode Details  Date:  April 13, 2026Duration: ~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

    26 min
  4. 23: CoTeacher - AI-Powered Support for Inclusive Education

    Mar 30

    23: CoTeacher - AI-Powered Support for Inclusive Education

    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

    24 min
  5. 22: Math Fact Lab and its scale on AWS

    Mar 16

    22: Math Fact Lab and its scale on AWS

    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

    27 min
  6. 21: Instructure's Ignite AI: Transforming Education with Amazon Bedrock

    Mar 2

    21: Instructure's Ignite AI: Transforming Education with Amazon Bedrock

    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

    15 min
  7. 20: PowerSchool’s Power Buddy - AI-powered learning assistant

    Feb 16

    20: PowerSchool’s Power Buddy - AI-powered learning assistant

    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

    8 min
  8. 19: University of Cincinnati: Going Digital

    Feb 2

    19: University of Cincinnati: Going Digital

    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

    30 min
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5
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3 Ratings

About

Welcome to "AWS Education Podcast" a groundbreaking podcast series hosted by AWS. In this engaging show, we explore the intersection of technology and education, uncovering how innovative solutions are transforming learning experiences for students and educators alike. Each episode features in-depth discussions with industry experts, educators, and thought leaders who share their insights on the latest trends, tools, and technologies shaping the future of education. From cloud computing and artificial intelligence to data analytics and immersive learning environments, we delve into how these advancements are empowering educators and enhancing student outcomes. Join us as we tackle pressing challenges in the education sector, showcase successful case studies, and provide actionable strategies for integrating technology into classrooms. Whether you’re an educator, administrator, or tech enthusiast, "AWS Education Podcast" offers valuable perspectives on harnessing the power of technology to create a more inclusive and effective learning environment. Tune in to discover how technology is not just a tool but a catalyst for change in education!

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