
Escalated Support: Ai, Claude, Dashboard Automation & Data Analysis is a 32-week professional training program designed for learners who want to use Ai tools, especially Claude, to simplify workplace tasks, automate reporting, pull data from dashboards, analyze information, and build practical workflow systems.
The course is designed for professionals who want to reduce manual dashboard work and build a system that can support data collection, analysis, reporting, and human review.
This program is divided into two 16-week phases.
Total Duration: 32 weeks
Phase 1: 16 weeks
Phase 2: 16 weeks
Total Cost: CAD $5,000
Availability: Wednesday and Thursday, 10:00 AM – 12:00 PM
Admission open for September–December and January–April
Why Choose This Course?
Beginner-friendly and workplace-focused
Designed for professionals who want to use Ai for practical business productivity
Focused on Claude skills, dashboard analysis, reporting, and automation
Helps learners reduce manual data-pulling and reporting work
Builds confidence in using Ai to support real workplace tasks
Includes practical workflow documentation, dashboard planning, and automation design
Supports learners who want to create structured analysis systems instead of manually reviewing dashboards
What You'll Learn?
✅ Claude Skills for Workplace Productivity
Learn how to use Claude for planning, writing, summarizing, documentation, SOP creation, report preparation, and workflow analysis.
Students will practice creating prompts for emails, summaries, reports, checklists, data explanation, and business analysis.
✅ Dashboard and Data Analysis Foundations
Understand how dashboards work, how data flows, and how key metrics are used for workplace reporting.
Students will learn about tables, columns, rows, KPIs, metrics, CSV files, spreadsheets, and dashboard logic.
✅ Reporting and Business Communication
Learn how to create professional reports, weekly summaries, management updates, and client-ready explanations using Ai-supported tools.
Students will practice generating one-page dashboard analysis reports and executive summaries.
✅ Workflow Documentation and Process Mapping
Learn how to document current workflows, identify pain points, and create improved future-state workflows.
Students will practice mapping manual processes such as dashboard login, data pull, analysis, and report generation.
✅ Automation Foundations
Learn the basic concepts of automation, including triggers, actions, conditions, notifications, scheduled tasks, and human review points.
Students will design no-code workflows such as: “When data updates, send summary.”
✅ Data Pulling and Dashboard Automation
Learn how manual data extraction can be replaced with structured data-pulling and automated analysis workflows.
Students will compare manual and automated data-pull options and prepare workflows for dashboard-based reporting.
✅ Python and Data Cleaning Basics
Learn basic Python concepts for data work, including variables, files, CSV processing, Excel files, and simple scripts.
Students will practice reading CSV files, cleaning dashboard exports, handling missing values, removing duplicates, and formatting columns.
✅ Ai-Supported Analysis Automation
Learn how to combine Claude, Python, dashboards, and automation logic to generate reports and insights.
Students will build rules such as “flag if KPI drops below target” and prepare weekly automated report drafts.
✅ Quality Control, Privacy, and Human Review
Learn how to verify Ai outputs, prevent hallucination, validate sources, protect confidential information, and maintain human review safeguards.
Students will create an Ai output verification checklist and privacy-safe automation policy.
The course runs for 16 weeks (16 hours), covering 6 modules with one-hour class per week. Each module builds practical skills for creating professional presentations, helping job seekers improve communication, workflow efficiency, and career readiness.
Student Enrollment Form
In today’s fast-moving digital world, tech skills aren’t just an advantage—they’re a necessity! Whether it’s helping newcomers find their place in the workforce, empowering housewives to explore new opportunities and gain financial independence, supporting individuals returning from a career break, or guiding career switchers into new industries, digital skills open doors.
They boost employability, fuel professional growth, and give people the confidence to thrive in an ever-evolving job market.
The following recent links point towards its importance:
-Digital Literacy for Newcomers (DLN)
-Digital literacy training and opportunities for Newcomers