/build-with-AI

#global_ai_builder_series / aug_17--sep_26_2026

Builders of AI are assembling.

A free online series for people building with AI. Learn directly from practitioners shipping real products and leave with practical ideas for your own work.

#contributors / systems_shipping_now
OpenAI
LlamaIndex
Pinecone
Mastra
Nebius
NVIDIA
Meta
Fireworks AI
Mem0
Akamai
Make Believe
#lineup / practitioners

Meet the builders shaping what is next.

Logan Markewich
Logan MarkewichLlamaIndex
Arjun Patel
Arjun PatelPinecone
Alan Hsia
Alan HsiaNebius
Chris Alexiuk
Chris AlexiukNVIDIA
Nick Nolan
Nick NolanFiddler AI
Praneet Dutta
Praneet DuttaPomo
Sam Bhagwat
Sam BhagwatMastra
Vivek Pandya
Vivek PandyaAdobe
Abhi Muchhal
Abhi MuchhalOpenAI
Jay Rodge
Jay RodgeNVIDIA
Rudraj Mehta
Rudraj MehtaMem0
Dominik Kundel
Dominik KundelOpenAI
Jason Liu
Jason LiuOpenAI
Ben Relles
Ben RellesMake Believe
Jess Weng
Jess WengLangChain
Nikhil Pareek
Nikhil PareekFuture AGI
Sujee Maniyam
Sujee ManiyamNebius
Nikhil Nainani
Nikhil NainaniPalantir
Avinav Pashine
Avinav PashineMeta
Sinan Ozdemir
Sinan OzdemirFireworks AI
Lena Hall
Lena HallAkamai
Rami Krispin
Rami KrispinDocker Captain / LinkedIn Learning
Christopher Taylor
Christopher TaylorGoogle
Mariane Bekker
Mariane Bekker1Password
Daisy Hollman
Daisy HollmanAnthropic
Phani Kolanuvada
Phani KolanuvadaSalesforce
Jessica Wang
Jessica WangBraintrust
Siva Surendira
Siva SurendiraLyzr AI
Tim Jurka
Tim JurkaLinkedIn
Haritha Thilakarathne
Haritha ThilakarathneNVIDIA
#program / builder_protocol

The builder protocol.

Move from grounding and retrieval to production agents, then turn that technical capability into products people want.

AUG 18

Building Enduring AI Companies ↗

Alan Hsia / Nebius

Find durable differentiation as foundation models commoditize and markets move faster.

Fireside chat
AUG 24

A Taxonomy of Production Agents ↗

Sam Bhagwat / Mastra

Recognize customer-facing, internal, and platform agents and the constraints each category creates.

Live / Zoom
AUG 28

Memory Beyond the Context Window ↗

Rudraj Mehta / Mem0

Decide what an agent should remember, retrieve, update, and forget without undermining trust.

Live / Zoom
AUG 28

Codex Masterclass ↗

Jason Liu / OpenAI

Give Codex the context, tools, and feedback loops to take on larger tasks, validate its work, and scale without lowering quality.

Live / Zoom
SEP 01

Can AI Actually Self-Improve? ↗

Nikhil Pareek / Future AGI

Trace failures through evaluation, root cause, repair, and validation to build safer self-improving agent loops.

Live / Zoom
SEP 01

Optimizing Open Models for Production ↗

Sujee Maniyam / Nebius

Reduce latency, memory, and cost with caching, quantization, optimized kernels, speculative decoding, and disaggregated serving.

Live / Zoom
SEP 07

AI Beyond Screens ↗

Avinav Pashine / Meta

Understand how multimodal AI, wearables, and physical context reshape product interaction.

Fireside chat
SEP 07

LLM Fine-Tuning Decision Framework ↗

Sinan Ozdemir / Fireworks AI

Compare prompting, RAG, fine-tuning, serving changes, and custom models before committing.

Live / Zoom
SEP 26

AI Tokenomics Explained ↗

Haritha Thilakarathne / NVIDIA

Understand how token utility, demand forecasting, inference efficiency, and monetization shape AI capacity, cost, and scale.

Live / Zoom
SEP 26

Loop & Harness Engineering Masterclass ↗

Aishwarya Srinivasan & Arvind Narayanamurthy / The Gen Academy

Assemble loops, subagents, controls, tools, memory, stop rules, and feedback into a reliable agent harness.

Masterclass
#register / entire_series

Enter the builder grid.

Join live, ask questions, and revisit every recording. No tiers, upgrades, or artificial urgency.

Aishwarya Srinivasan and Arvind Narayanamurthy
#hosts / gen_academy

Built by practitioners. Taught with clarity.

The Gen Academy helps professionals move beyond AI curiosity and make better technical and product decisions. This series brings that mission directly to the builders shaping modern AI.

Aishwarya SrinivasanCo-founder / AI educator / Ex-Google, Microsoft, IBM
Arvind NarayanamurthyCo-founder / AI engineering lead / Carnegie Mellon
#faq / before_you_join

Questions, decoded.

Everything you need to know before entering the Global AI Builder Series.

Is the series free?

Yes. Registration for the complete virtual series is free through Maven.

Do I register for each session?

Register once for the series. Individual Maven pages provide complete details for each session.

Will recordings be available?

Yes. Registered attendees receive access to recordings after the live sessions.

Who should attend?

AI enthusiasts, engineers, product builders, founders, technical leaders, and anyone curious about building useful AI systems.