Shipping AI Agents to production
Aishwarya Srinivasan
AI Entrepreneur | Ex-Google, Microsoft
Arvind Narayanamurthy
AI Engineering Lead | Founder
Learn how to build, deploy, and scale AI agents on GCP
Special bundle: Sign up for our flagship Mastering Agentic AI Certification, our 6-week cohort program for AI builders, and get the Shipping AI Agents to Production workshop recording for free.
Building an AI prototype is getting easier. Turning it into an application that can reliably work inside a real business is much harder.
This workshop is designed for Forward Deployed Engineers, Solutions Architects, AI Engineers, AI Product Managers, Sales Engineers, technical consultants, and anyone responsible for taking AI systems from prototype to production.
You’ll learn how to build a working agent, connect it to enterprise APIs, knowledge bases, and tools, evaluate and debug its behavior, and deploy it on Google Cloud with Vertex AI. We’ll also cover the production challenges that matter most: latency, cost, security, observability, scale, and reliability.
The goal is to help you think, build, debug, and ship AI applications that are ready for real-world environments.
What you’ll learn
You’ll learn to build, debug, deploy, and explain production AI agents like a Forward Deployed Engineer.
Develop agents with LLM APIs, tools, knowledge bases, and enterprise systems.
Understand agent loops, tool calling, structured outputs, and guardrails.
Build a working ADK agent that answers from real APIs and internal data.
Reason through tokens, context, embeddings, RAG, and failure modes.
Debug hallucinations, retrieval failures, bad tool calls, and brittle workflows.
Evaluate agents using observability, evals, HITL, and production-grade checkpoints.
Move from local prototype to hosted endpoint on Google Cloud and Vertex AI.
Understand deployment paths, Model Garden, scaling, and cloud operations.
Make trade-offs across latency, cost, reliability, security, and customer impact.
Workshop agenda
Module 1: Foundations for Production AI Systems
Understand LLMs, embeddings, RAG, agent patterns, tool calling, schemas, structured outputs, and common failure modes in production AI applications.
Module 2: Build and Evaluate an End-to-End AI Agent
Build an agent with ADK, real tools, knowledge bases, LLM APIs, evals, observability, guardrails, and human-in-the-loop workflows.
Module 3: Deploy and Operate AI Agents on Google Cloud
Deploy with Vertex AI and GCP, then learn how to manage latency, cost, security, reliability, observability, scaling, and production trade-offs.
Learn directly from Aishwarya & Arvind
Aishwarya Srinivasan
AI Entrepreneur | Ex-Google, Microsoft
Arvind Narayanamurthy
AI Engineering Lead | Founder
Who this workshop is for
Future FDEs
For people who want to break into Forward Deployed Engineering or AI implementation roles.Customer-facing technologists
For solutions engineers, TAMs, consultants, and architects moving closer to AI systems.AI career switchers
For engineers and technical professionals transitioning into agentic AI and production AI roles.
What's included
Live sessions
Learn directly from Aishwarya Srinivasan & Arvind Narayanamurthy in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Frequently asked questions
Maven for Teams
Reimbursement
Get your company to pay
Everything L&D needs: email template, receipts, and certificate of completion.
Get reimbursedTeam discount
Learn with your teammates
Save 20%+ when 2 or more teammates enroll in the same cohort.
Save 20%+ with a teamPrivate cohort
Run a cohort for your org
A dedicated cohort with a custom schedule and curriculum, tailored to your team.
Book a private cohort$599
USD
11am–2pm EDT