Shalini Guda Padmanath

AI Agents Global Hackathon Winner, AI-DLC expert, ex - JPMC, Apple, Cisco, eBay

Build AI Agents Right: Lessons from Global Hackathon Winner

Learn how agents change requirements, architecture, testing, deployment, governance, and the development lifecycle.

Understand what changes when AI can build for you

Learn a practical lifecycle for designing, building, evaluating, governing, deploying, and improving AI agents.

Build Agents with the AI-DLC Framework

See the decisions, tradeoffs, guardrails, and lessons behind an AI agent that won a global hackathon.

Learn from a Winning AI Agent

You'll learn how to decide when and how to use AI (for both you and your learners), across your end to end workflow.

World-leading expert in AI + L&D

University of Cambridge

Maven

KPMG

OpenAI

Aula

Dr Philippa Hardman 

Class of July 2026 

Class of September 2026 

Become the person in your L&amp;D team who knows what AI should do — and builds the tools that do it🏆 Join the #1-rated AI bootcamp for L&amp;D, with L&amp;D pros from orgs like Google, KPMG, LinkedIn, Arizona State University &amp; the UN._____ Most AI training teaches you to make content faster. Alumni here say this bootcamp changed how they think — from "how do I use AI to do this quicker?" to "how do I build AI tools that 10x my impact?"You will:✨ Sort your L&amp;D tasks into AI's three roles — Operator (AI does it; something else checks), Apprentice (AI does it; you check a sample), Advisor (AI informs; you decide) — using one question you'll apply every week.✨ Build &amp; stress-test proper AI tools — with a "brain" inside: your method, your quality bar, decades of learning science. Then test against real cases until it holds up — and see exactly why it beats anything a quick prompt produces.✨ Ship 4 working tools for your real work — with personalised feedback from me on every build (the thing alumni love most!).Four 90-minute live classes later — whether you design, deliver, administer or lead — you'll leave with the method you need for your next 100 AI builds.

"All L&D roles will be AI-enhanced roles in the very near future "

The method — sort, build, stress-test

AI-Enhanced Analysis — find the real problem

AI-Enhanced Design — choose the right solution

AI-Enhanced Development & Implementation - build with purpose

AI-Enhanced Evaluation — prove it worked

Bonus week - connect brains into a system 

Learning Designers, IDs &amp; SMEs — with or without formal ID training: get a reliable method for what to build with AI, how &amp; why

L&amp;D Leaders &amp; Partners — you need to make defensible calls about where AI fits your team's workflow, and to raise quality, not just speed

L&amp;D Ops, Admin &amp; Reporting — many of your tasks are exactly the kind AI can own or draft; learn which ones, and how to automate them safely

Your team adopted AI. Why hasn’t delivery improved?

Staff Software Engineer

Luis Vieira

Staff engineer

Agentic Engineering 1

<blockquote>AI coding tools make implementation faster. But typing code is only one part of getting software safely from idea to production.Teams still need to turn ambiguous requests into clear plans, understand how changes affect an existing system, verify that they are safe, and make sound decisions about what reaches production.When code becomes cheap to produce, context, judgment, and verification become the limiting factors.This is why faster coding does not automatically mean faster delivery. Improving one part of the workflow has limited impact when the rest of the system continues to create bottlenecks.This workshop gives you a practical method for improving delivery with agents. You’ll learn to find the constraints slowing down your SDLC, design agents that can safely take on bounded work, and improve them over time using proof of work, feedback, and evals.</blockquote>

Learn how to find delivery constraints, design trustworthy agent workflows, and improve them through evidence, feedback, and evals.

Understand the AI coding plateau

Find agent opportunities across the SDLC

Design a trustworthy agent harness

Improve agent workflows over time

Software engineers using AI coding tools looking to improve their team SDLC

Tech leads and engineering managers who want to understand how to increase engineering output using AI

Engineering leaders who adopted AI tools but aren't seeing it in delivery speed or business outcomes and want to understand why and fix it

Your agents are already acting. Govern what they do, who is accountable, and how to prove it when something goes wrong.

AI Governance Advisor | Founder, INTLDA

Pfizer

Accenture

Cornell University

S&P Global

Uvika Sharma

Founder, INTLDA | AI Strategist, Governance Advisor | Educator | Keynote Speaker

AI Governance Auditor | AIGP | ISO 42001

Deloitte

Wells Fargo

Evan Benjamin

AI Governance Advisor, INTLDA | AIGP | ISO 42001 Auditor | Algorithmic Auditor

Cohort 1

Build the governance system your organization needs before your next board meeting, your next regulator, or your next incident.AI agents are not coming. They are already inside your organization, making decisions about customers, vendors, employees, and compliance without a human in the loop.Most leaders know this. What they do not have is a governance system built for it. The frameworks organizations rely on were designed for AI that assists. Agentic AI acts. That is a different problem, and it needs a different answer.This course is that answer.Over four weeks, you will work through GUIDED, INTLDA's proprietary framework for governing agentic AI. Six actions. One governance system. Built by you, for your organization, during the course. You will not leave with a certificate and a folder of notes. You will leave with six governance artifacts you can use the week after each session ends.Learn from trusted advisors Uvika Sharma and Evan Benjamin. Together they teach governance as a practice, not a subject. What you build in this course is the beginning of a real governance program, not a hypothetical.

Your AI agents are already acting. Nobody defined what they are allowed to do.

Know what agents are running right now

Define what each agent can and cannot do

Name who is accountable for agent harm

Build an audit trail regulators can read

Build your 90-day governance roadmap

Executives and senior leaders responsible for AI in their organization who need governance that works, not a policy that sits in a drawer

Chief AI, data, and risk officers building enterprise governance programs who need a framework built for agents, not just AI tools.

GCs and compliance officers who need to know what their agents can do, who owns the risk, and how to prove it to a regulator.

Build and reason about enterprise agents grounded in your team's knowledge base

Agentic Search Expert

Shopify.com

Reddit

Wikipedia

LexisNexis

Apple

Doug Turnbull

Led teams at Shopify, Reddit, Wikipedia

AI Builder/Educator (6 Million Students)

Google

Instagram

Netflix

Yale

Hugo Bowne-Anderson

AI & data engineer, consultant, educator of 6+ million students (ex-Yale)

August 2026

Your company sits on endless reports, documents, and files. Agents leverage your company’s rich volumes of data to support customers and make business decisions.In this course agentic search expert Doug Turnbull partners with AI expert Hugo Bowne-Anderson to create agents that actually work.At the foundation of production agents sit an LLM, a reasoning loop, an agent harness, and a layer of context engineering + retrieval.Research consistently shows AI answer quality depends more on the underlying search than any other factor. We’ll go from the ground up - building an agent from scratch, giving you what you need to make them actually useful with accurate search + retrieval.You will leave with a working e-commerce agent, a retrieval pipeline, a starter eval set, and a deployment-ready architecture you can adapt to your own company data.Enroll before July 7 to get very early bird pricing at $750. Early bird pricing increases to $850 on July 7 and the full course price of $950 begins on August 1.

Real agents don’t just chat: they find, organize, and act.


Build agents from first principles

Ground agents in enterprise knowledge

Engineer reliable agent harnesses

Evaluate, automate, and deploy agents

Data scientists, machine learning engineers who are sick &amp; tired of seeing and building prototypes &amp; want to ship reliable LLM applications

Software engineers who want to learn how to build Generative AI systems and learn the LLM software development lifecycle.

Search technologists who connect enterprise knowledge with AI systems with RAG + Agentic Serach

Agentic AI

Coding with AI

AI Workflows

Claude Code

OpenClaw

Vibe Coding

AI Evals

AI Transformation

RAG & Search

AI for PMs

AI for Engineers

AI for Designers

AI for Marketers

AI for Founders

Product Sense

Product Discovery

User Research

Prototyping

Growth

Analytics

Tech Foundations

Strategy

Influence

Leadership

Career Growth

Machine Learning

LLM Ops

Context Eng

Security

System Design

Figma

Design Systems

Visual Design

Design Strategy

Automation

Content Marketing

Demand Gen

Go-to-Market

Product Marketing

Positioning

Social Media

Brand

B2B Marketing

SEO & AEO

AI for Leaders

AI Governance

Communication

Management

People Operations

Exec Presence

Storytelling

Goal-setting

Personal Brand

Fundraising

Everyone

Operators

Data Scientists

Business Analysts

User Researchers

Customer Success

Project Managers

HR Professionals

Sales People

Lawyers

Finance

Investors

Real Estate

Educators

Creators

Executives and senior leaders who set strategy, lead teams, and drive organizational outcomes.

Engineers and engineering leaders who build, deploy, and scale software systems.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Building autonomous AI agent systems that take actions, use tools, and orchestrate multi-step workflows.

Measuring and evaluating AI model performance, quality, and reliability for production use cases.

Establishing policies, ethics frameworks, and oversight for responsible AI use in organizations.

Build AI Agents Right: Lessons from Global Hackathon Winner

What you'll learn

Why this topic matters

You'll learn from

Shalini Guda Padmanath