CPJ College

Class A · Certificate of Completion

Applied AI for Business

Productivity, Automation & Privacy

Practical AI applications in business operations, workplace productivity, workflow automation, AI-assisted document management, data security, and the implementation of private AI solutions within organizations.

Hours
60
Weeks
10
Live sessions
20
Delivery
Online

Curriculum

Course outline

C01

AI Foundations, Business Use & Security Baseline

6 hrs

Learning outcomes

  • — Map workplace AI use cases and limits
  • — Classify sensitive data and apply a privacy gate

Live sessions

  • Session 1 · AI at work: value, limits, baseline
    Map 5 office workflows; baseline document task; hallucination examples
  • Session 2 · Sensitive data and responsible AI
    Classify 6 documents; cloud-v-local risk scenarios; privacy gate
C02

Prompt Engineering & Reliable AI Outputs

6 hrs

Learning outcomes

  • — Build reusable prompt patterns
  • — Verify outputs against sources and detect hallucinations

Live sessions

  • Session 3 · Professional prompting
    Reusable prompt pattern; roles, boundaries, formats
  • Session 4 · Verifiable AI outputs
    Source ledger; deliberate hallucinations; grounded responses
C03

AI-Assisted Documents, Email & Office Work

9 hrs

Learning outcomes

  • — Draft professional correspondence
  • — Extract requirements from Word/PDF packets
  • — Produce minutes and follow-up packages

Live sessions

  • Session 5 · Email / letter drafting
    Draft and edit 4 client communications
  • Session 6 · Word / PDF information workflow
    Extract requirements from mock contract/policy packet
  • Session 7 · Meetings and admin operations
    Minutes, action tracking, safe follow-up drafting
C04

Spreadsheets, Data Analysis & Business Reporting

9 hrs

Learning outcomes

  • — Clean datasets and draft formulas with AI
  • — Build reproducible KPI dashboards
  • — Write evidence-based executive summaries

Live sessions

  • Session 8 · Spreadsheet preparation
    Clean sample invoice dataset; detect structural defects
  • Session 9 · AI-assisted analysis
    Formula reasoning, KPI charts, reconciliation
  • Session 10 · Management data reporting
    Executive summary, limitations and review
C05

Cloud AI, Enterprise Controls & Privacy Decisions

6 hrs

Learning outcomes

  • — Compare enterprise vs public AI accounts
  • — Map permissions, data flows and approvals

Live sessions

  • Session 11 · Cloud AI platforms
    Enterprise vs public accounts; privacy/terms review
  • Session 12 · Access and risk decisions
    Permissions map; data flow; supervisor/IT approval
C06

Local AI & Private Organization Knowledge Assistants

12 hrs

Learning outcomes

  • — Install and license a local AI runtime
  • — Build a private, source-grounded knowledge assistant
  • — Validate privacy and hand over a runbook

Live sessions

  • Session 13 · Local AI install & license
    Hardware checks; supervised runtime/model deployment
  • Session 14 · Offline document querying
    Import sanitized Word/PDF; source-grounded Q&A
  • Session 15 · Private knowledge assistant
    RAG concepts; document access; no-answer fallback
  • Session 16 · Validate privacy and support
    Local network test; blocked permissions; handover guide
C07

Business Workflow Automation & No-Code Integration

6 hrs

Learning outcomes

  • — Map automation candidates
  • — Build approval-gated, logged automations

Live sessions

  • Session 17 · Map and create workflow
    Trigger / action / human approval construction
  • Session 18 · Test and secure workflow
    Failure tests; least privilege; audit trails
C08

Applied Workplace AI Capstone & Competency Demonstration

6 hrs

Learning outcomes

  • — Design and build a company-specific private AI assistant
  • — Defend it in a live demonstration and viva

Live sessions

  • Session 19 · Capstone studio
    Requirements review; build prototype; verify safety
  • Session 20 · Final demonstration and viva
    Present real-world scenario with synthetic data; scored defence

Assessment

  • Homework average — 50%
  • Final project — 30%
  • Final exam (multiple choice) — 20%

Pass: 70% overall and in each component, plus 80% live attendance.

Assignments

  • Security triage & data classification
  • Five-prompt portfolio & source check
  • Professional correspondence package
  • Verified spreadsheet & executive note
  • Cloud AI risk analysis
  • Private knowledge assistant evidence
  • Approval-gated workflow build
  • ★ Final project: company-specific private AI assistant

Admission

  • — 19 years or older on the first day of instruction
  • — Documented English proficiency
  • — Pass a six-task basic computing readiness check
  • — Laptop with webcam and stable internet