Designing Agentic AI Applications for Enterprise Use-Cases

Hosted by Aishwarya Naresh Reganti and Kiriti Badam

1,825 students

What you'll learn

Watch 10+ Agentic AI Application Demos

Understand how to take an enterprise use-case, scope it and build solutions with state-of-the-art techniques

Learn About Our Problem-First Framework

What sets a good AI practitioner apart is their ability to work within business constraints. Watch it in real time!

Get An Exclusive Discount On Our Next Cohort

A 15% off coupon will be shared during the session and will be valid only until the session ends.

Why this topic matters

Join us for our first cohort’s Demo Day as they showcase real-world enterprise use cases built using our Iterative Solution Design approach and Problem-First framework. This is a great opportunity to see how enterprise problems are taken from ideation to design and implementation. We have 10+ projects spanning finance, healthcare, customer support, manufacturing, and more!

You'll learn from

Aishwarya Naresh Reganti

Tech Lead @ AWS | Lecturer | Advisor | Researcher | Speaker | Investor

Aishwarya Naresh Reganti is an Applied Science Tech Lead at the AWS Generative AI Innovation Center (GenAIIC), where she leads initiatives to develop and deploy production-ready generative AI solutions for AWS clients. With over 9 years of experience in machine learning, she has published more than 35 research papers at top-tier AI conferences, including NeurIPS, AAAI, and CVPR.


Aishwarya has taught professional courses on generative AI at renowned institutions like MIT and Oxford. She has also designed courses that have reached over 10,000 students globally and have formed the foundation for several academic programs and industry training curricula.


Recognized as one of the most prominent voices in enterprise AI, with over 90,000 professionals following her on LinkedIn, she is a sought-after thought leader frequently invited to speak at leading conferences and events, including TEDx, MLOps World, and ReWork.


Aishwarya actively collaborates with leading research professors and provides strategic advisory to organizations, enabling them to harness AI effectively to address complex business challenges.

Kiriti Badam

Founding Engineer @ Kumo.ai | Ex-Google

With over a decade of experience designing high-impact and transformative enterprise AI systems, Kiriti Badam is a seasoned expert in AI-centric infrastructure, specializing in large-scale compute, data engineering, and storage systems. At Kumo.ai, a Forbes AI 50 startup, he leads the development of infrastructure capable of training hundreds of models daily, driving significant ARR growth for enterprises.


Kiriti brings a unique blend of startup agility and large-scale enterprise expertise, having worked across companies of varying sizes, including Kumo.ai, Google, Samsung, and Databricks. At Google Ads, he developed globally distributed key-value stores that powered advertising systems generating XX billion dollars in annual revenue.


Kiriti holds a Master’s degree from Carnegie Mellon University and a Bachelor’s degree from IIT Madras, where his research focused on cutting-edge storage systems and distributed databases for AI workloads. A trusted advisor and mentor, he guides startups and organizations in building impactful AI infrastructure, achieving product-market fit, and crafting robust product development strategies.


Worked/Taught at

MIT research group
University of Oxford
Samsung
Google
Amazon Web Services
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