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
C01AI Foundations, Business Use & Security Baseline
6 hrs
AI Foundations, Business Use & Security Baseline
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
C02Prompt Engineering & Reliable AI Outputs
6 hrs
Prompt Engineering & Reliable AI Outputs
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
C03AI-Assisted Documents, Email & Office Work
9 hrs
AI-Assisted Documents, Email & Office Work
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
C04Spreadsheets, Data Analysis & Business Reporting
9 hrs
Spreadsheets, Data Analysis & Business Reporting
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
C05Cloud AI, Enterprise Controls & Privacy Decisions
6 hrs
Cloud AI, Enterprise Controls & Privacy Decisions
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
C06Local AI & Private Organization Knowledge Assistants
12 hrs
Local AI & Private Organization Knowledge Assistants
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
C07Business Workflow Automation & No-Code Integration
6 hrs
Business Workflow Automation & No-Code Integration
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
C08Applied Workplace AI Capstone & Competency Demonstration
6 hrs
Applied Workplace AI Capstone & Competency Demonstration
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