AUG 17
Building Context-Rich Agents with LlamaIndex Workflows ↗
Logan Markewich / LlamaIndex
Connect private data, tools, indexing, and workflows while preserving observability and answer quality.
/build-with-AI
#global_ai_builder_series / aug_17--sep_08_2026Builders 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
NVIDIA
Meta
Fireworks AI
Mem0
Akamai
NVIDIA
Meta
Fireworks AI
Mem0
Akamai
Meet the builders shaping what is next.
#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
The RAG Playbook: Retrieval Techniques for Production AI ↗
Arjun Patel / Pinecone
Choose retrieval methods, structure data, and define the benchmarks that matter before production.
AUG 18
Building Enduring AI Companies ↗
Alan Hsia / Nebius
Find durable differentiation as foundation models commoditize and markets move faster.
AUG 20
From Base Model to Agent: Inside NVIDIA’s Post-Training Stack ↗
Chris Alexiuk / NVIDIA
Follow SFT, RLVR, and RLHF from base model to agent, and design rewards that models cannot game.
AUG 23
How a 2-Person AI Team Can Outlearn a 2,000-Person Company ↗
Praneet Dutta / Pomo
Turn decision history into a compounding moat, and shorten the loop from insight to action.
AUG 24
A Taxonomy of Production Agents ↗
Sam Bhagwat / Mastra
Recognize customer-facing, internal, and platform agents and the constraints each category creates.
AUG 26
AEO and the Era of Agent-Assisted Discovery ↗
Vivek Pandya / Adobe
Earn visibility inside model answers and win the comparison moment as assistants reshape discovery.
AUG 27
From Prompts to Agentic Workspaces ↗
Abhi Muchhal / OpenAI
Understand how Codex and connected workspaces change enterprise collaboration and creation.
AUG 27
Secure Autonomous Agents with NVIDIA NeMo Claw ↗
Jay Rodge / NVIDIA
Place sandboxing, guardrails, observability, evaluation, and deployment controls correctly.
AUG 28
Memory Beyond the Context Window ↗
Rudraj Mehta / Mem0
Decide what an agent should remember, retrieve, update, and forget without undermining trust.
AUG 31
Digital Humans, Creativity, and AI Media ↗
Ben Relles / Make Believe
Explore what digital humans reveal about storytelling, identity, and useful AI media products.
AUG 31
Beyond Simple Agents: Building with LangChain Deep Agents ↗
Jess Weng / LangChain
Hold long-running work together with memory, skills, and subagents when a single agent loop stops scaling.
SEP 07
AI Beyond Screens ↗
Avinav Pashine / Meta
Understand how multimodal AI, wearables, and physical context reshape product interaction.
SEP 07
LLM Fine-Tuning Decision Framework ↗
Sinan Ozdemir / Fireworks AI
Compare prompting, RAG, fine-tuning, serving changes, and custom models before committing.
SEP 08
The Signal Loop: What to Build When You Can Build Anything ↗
Lena Hall / Akamai
Create feedback loops that help the right customers discover, trust, and champion your product.
#register / entire_series
Enter the builder grid.
Join live, ask questions, and revisit every recording. No tiers, upgrades, or artificial urgency.
#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
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.