Building Context-Rich Agents with LlamaIndex Workflows ↗
Connect private data, tools, indexing, and workflows while preserving observability and answer quality.
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#global_ai_builder_series / aug_17--sep_26_2026A free online series for people building with AI. Learn directly from practitioners shipping real products and leave with practical ideas for your own work.
Move from grounding and retrieval to production agents, then turn that technical capability into products people want.
Connect private data, tools, indexing, and workflows while preserving observability and answer quality.
Choose retrieval methods, structure data, and define the benchmarks that matter before production.
Find durable differentiation as foundation models commoditize and markets move faster.
Follow SFT, RLVR, and RLHF from base model to agent, and design rewards that models cannot game.
Operationalize trust with an AI control plane that connects observability, evaluation, policy, cost, and compliance.
Turn decision history into a compounding moat, and shorten the loop from insight to action.
Recognize customer-facing, internal, and platform agents and the constraints each category creates.
Earn visibility inside model answers and win the comparison moment as assistants reshape discovery.
Understand how Codex and connected workspaces change enterprise collaboration and creation.
Place sandboxing, guardrails, observability, evaluation, and deployment controls correctly.
Decide what an agent should remember, retrieve, update, and forget without undermining trust.
Give Codex the context, tools, and feedback loops to take on larger tasks, validate its work, and scale without lowering quality.
Explore what digital humans reveal about storytelling, identity, and useful AI media products.
Hold long-running work together with memory, skills, and subagents when a single agent loop stops scaling.
Trace failures through evaluation, root cause, repair, and validation to build safer self-improving agent loops.
Reduce latency, memory, and cost with caching, quantization, optimized kernels, speculative decoding, and disaggregated serving.
Connect coding agents to team context and verification loops that keep large-codebase changes trustworthy and reviewable.
Learn how FDEs bridge customers, engineering, and product to turn ambiguous AI problems into production systems.
Build the technical depth, customer instinct, and delivery speed that turn AI technology into customer outcomes.
Understand how multimodal AI, wearables, and physical context reshape product interaction.
Compare prompting, RAG, fine-tuning, serving changes, and custom models before committing.
Create feedback loops that help the right customers discover, trust, and champion your product.
Containerize a RAG application live and apply deployment patterns that keep AI agents portable, reliable, and scalable.
Explore what makes AI systems useful and where agents create real value as organizations move beyond experimentation.
Compare AI design tools with structured evaluations that reveal meaningful differences in quality and performance.
Use sovereign architecture to deploy enterprise agents while meeting data residency, audit, and control requirements.
See how LinkedIn turns AI prototypes into global consumer products and what scale changes about product development.
Trace search from directories and keywords to semantic retrieval, generative answers, and agents that act.
Understand how token utility, demand forecasting, inference efficiency, and monetization shape AI capacity, cost, and scale.
Assemble loops, subagents, controls, tools, memory, stop rules, and feedback into a reliable agent harness.
Join live, ask questions, and revisit every recording. No tiers, upgrades, or artificial urgency.
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.
Everything you need to know before entering the Global AI Builder Series.
Yes. Registration for the complete virtual series is free through Maven.
Register once for the series. Individual Maven pages provide complete details for each session.
Yes. Registered attendees receive access to recordings after the live sessions.
AI enthusiasts, engineers, product builders, founders, technical leaders, and anyone curious about building useful AI systems.