WEEK01
Build the first prototype
Code a working V1 of an LLM-powered application focused on a specific use case.
Learn AI from the people building what’s next.
Live, practical sessions with researchers, builders, and operators shaping how AI is used in the real world.
Our education partners
The most practical curriculum for AI builders.
Here’s what we cover in Mastering Agentic AI. Each week, learners apply a new part of the AI stack to a hands-on project, from the first prototype through evaluation, fine-tuning, and security.
WEEK02
Add RAG, context, and memory
Extend the prototype with relevant knowledge retrieval, contextual information, and a memory layer.
WEEK03
Design an agentic system
Build a fuller agentic workflow with tools, orchestration, and clearly defined system components.
WEEK04
Evaluate the agent
Create an evaluation workflow to test agent behavior, measure quality, and identify areas for improvement.
WEEK05
Fine-tune an LLM
Complete a fine-tuning project that adapts a model to a defined task or use case.
WEEK06
Add security and safety
Incorporate safeguards and test how the application handles unsafe inputs and adversarial behavior.
Past Live Labs
Inside LinkedIn: Building AI Products at Global Scale
Tim Jurka
VP of Consumer Products · LinkedIn
Figma MCP vs. Paper MCP: What Evals Actually Tell You
Jessica Wang
Developer Advocate · Braintrust
Fireside Chat with Chris Taylor, VP & Fellow at Google
Christopher Taylor
VP and Engineering Fellow · Google
How to Deploy AI Agents to Production (Live RAG Demo)
Rami Krispin
Data Science and Engineering Leader; Docker Captain · Docker community / LinkedIn Learning
The Signal Loop: What to BUILD when you can build anything
Lena Hall
Senior Director, Developer and AI Strategy · Akamai
Fireside Chat with Avinav Pashine (Product Lead @ Meta)
Avinav Pashine
Product Lead, AI Wearables · Meta
The Skills Companies Look For When Hiring FDEs
Phani Kolanuvada
Senior Director of Forward Deployed Engineering · Salesforce
A note from Aish & Arvind
Hello fellow learner,
AI is moving too quickly for learning to live only in static courses. The most useful knowledge is often still in the heads of the people building, researching, and applying it every day.
We started The Gen Academy to bring those people and curious learners into the same room through practical sessions that are open, timely, and grounded in real work.
Our mission is to make frontier AI knowledge accessible to anyone, directly from the people shaping it.
Come for one Live Lab. Leave with an idea you can use and a community you can keep learning with.
With curiosity,
Aish & Arvind
Co-founders, Gen Academy
