5.1Support TechnologySession 5 · Capstone Studio & Industry Deployment

Preparing the AI solution for production launch

15classes45htotalTH2 · PR1 · PNW2weighting per class

Class-by-class breakdown

15 classes

TH = theory · PR = practical · PNW = personal work. These are ministry weighting codes (not hours) used to split each class's minutes. Class length = course hours ÷ class count; the three time-boxes below always sum to that length.

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First 2 classes free with a referral 14 more with enrollment180 min per classTheory 72mPractical 36mPersonal Work 72m
1

From Notebook to Production — Why GenAI Needs LLMOps

FreeTH2PR1PNW2

An AI Integration Manager who ships a prompt that works in a notebook but hallucinates in production learns the hard way why LLMOps is the real job.

Theory72m
  • What LLMOps is and the gap between a demo prompt and a production agent
  • The GenAI lifecycle: build, evaluate, deploy, monitor, retrain prompts
  • Where agent projects fail after the demo (drift, cost, hallucination)
Practical36m
  • Audit a sample agent notebook for three production-blockers (hardcoded keys, no evals, unbounded cost)
  • List the steps it would take to run that agent reliably for another user
Personal Work72m
  • Write a one-page 'demo to production' gap report for a sample GenAI agent
  • Micro-task: submit your gap report
2

Prompt Versioning — Treating Prompts Like Code

LockedTH2PR1PNW2

Locked class preview

A Data/Business Analyst who versions prompts can roll back a hallucinating prompt the second it misbehaves — prompt versioning is GenAI's version control

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3

Agent Evaluation — Measuring What 'Good' Means for GenAI

LockedTH2PR1PNW2

Locked class preview

A Project Manager who can't score an agent can't tell if a prompt change helped or hurt — agent evals are how GenAI becomes trustworthy

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4

Guardrails and Safety — Stopping the Bad Outputs

LockedTH2PR1PNW2

Locked class preview

A Sales and Marketing Manager whose agent sends inappropriate replies loses customer trust overnight — guardrails are the brakes that make agents safe to ship

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5

Tools and APIs in Production — Reliable Function-Calling

LockedTH2PR1PNW2

Locked class preview

An AI Integration Manager who ships a tool-calling agent without timeouts ships an agent that hangs in production — reliable tools are production GenAI's foundation

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6

RAG in Production — Keeping Retrieved Context Honest

LockedTH2PR1PNW2

Locked class preview

A Data/Business Analyst whose RAG returns stale or wrong chunks ships confident-sounding wrong answers — production RAG needs freshness, ranking, and citations

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7

Packaging the Agent — From Script to Reusable Service

LockedTH2PR1PNW2

Locked class preview

An AI Integration Manager who packages an agent once can deploy it as an API, a chatbot, and a scheduled job — packaging is what makes an agent reusable

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8

Serving GenAI — APIs and Latency for LLM Workloads

LockedTH2PR1PNW2

Locked class preview

A Digital Marketing Strategist whose agent takes 20 seconds to reply loses the user before the answer arrives — serving GenAI well is a latency and cost game

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9

Cost Management — Tokens, Models and Budgets

LockedTH2PR1PNW2

Locked class preview

An E-commerce Director whose agent costs more per chat than the sale it supports kills the feature — GenAI cost management keeps agents profitable

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10

Observability — Logging Prompts, Tools and Traces

LockedTH2PR1PNW2

Locked class preview

A Data/Business Analyst who logs every agent trace can debug a bad answer in minutes instead of guessing — observability is production GenAI's eyes

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11

Monitoring and Drift — Is the Agent Still Behaving?

LockedTH2PR1PNW2

Locked class preview

A Project Manager who monitors an agent catches drift before users do — monitoring turns 'it was working' into 'it is working'

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12

Security and Privacy — Protecting Users and Secrets

LockedTH2PR1PNW2

Locked class preview

A Sales and Marketing Manager whose agent leaks customer PII into logs fails every privacy law at once — security and privacy are non-negotiable in production GenAI

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13

A/B Testing Prompts and Models — Measuring the Better One

LockedTH2PR1PNW2

Locked class preview

A Digital Marketing Strategist who A/B tests two agent versions ships the one users actually prefer — testing beats gut calls on GenAI changes

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14

Rollback and Incident Response — When It Breaks

LockedTH2PR1PNW2

Locked class preview

An AI Integration Manager who can roll back a bad prompt in seconds sleeps at night — incident response is what turns a crisis into a blip

Enroll to unlock every class in this course — the full agenda, the AI tutor, and the quiz.

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15

Production-Readiness Checklist — Mini-Project Launch

LockedTH2PR1PNW2

Locked class preview

This capstone rehearsal proves an AI Integration Manager can take a GenAI agent from notebook to a documented, evaluated, monitored, deployable production service

Enroll to unlock every class in this course — the full agenda, the AI tutor, and the quiz.

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