
AI + Automation: Create Rapid Web Dashboards Using Agentic AI
By Saiful Anuar
Overview
Traditional software development cycles present a severe bottleneck for corporate teams. Organizations frequently burn critical budgets and lose operational speed waiting on IT queues or external vendors to build simple internal tools, mockups, or custom lead trackers. This intensive 1-day practical workshop transforms non-technical business professionals into rapid application architects. Utilizing state-of-the-art Generative AI Agents (GitHub Copilot) and zero-configuration cloud environments (GitHub Codespaces), participants will build, test, and host dynamic, responsive web tools without writing code manually. By the end of the session, teams will possess a functional live-deployed CRM dashboard, shifting their digital capability from passive tool users to active application creators.
Target Audience
Product Managers, Business Analysts, Operations Managers, HR & Sales Heads, Innovation Leads (No coding experience required!)
Course Duration
1 Day
Claimable
Yes — 100% HRD Corp SBL-Khas Claimable
Delivery Format
In-Person — Hands-On Tech Workshop
Max Class Size
20
Learning Outcomes
- 1Provision and manage isolated, secure cloud environments (GitHub Codespaces) completely within a standard web browser interface.
- 2Utilise Generative AI Agents (GitHub Copilot) via structured, business-focused prompt frameworks to construct responsive application frontends.
- 3Debug and harden browser interfaces by executing interactive AI "red-teaming" prompts to catch invalid user inputs and handle logic errors.
- 4Deploy static web applications to free public production servers (GitHub Pages) with two-click publishing pipelines.
- 5Implement vital Cloud FinOps workflows by auditing active cloud usage and executing necessary shutdown and cleanup procedures.
Prerequisites
- 1GitHub Account (Free Tier) & Active Browser Window
Course Syllabus
| Time | Module & Title | Focus & Practical Deliverables |
|---|---|---|
| 09:00-10:00 | Module 1: The Cloud Sandbox & Secure Environments | Navigating the modern browser-based IDE (GitHub Codespaces). Spinning up a pre-configured developer sandbox container and initializing index.html. |
| 10:00-11:00 | Module 2: Architectural Prompting with AI Agents | Translating manual workflow requirements (e.g. Sales CRM Lead Trackers) into structured AI-agent prompts. Driving Copilot to generate responsive UI. |
| 11:00-11:15 | Morning Coffee Break | Compliance Buffer |
| 11:15-12:30 | Module 3: Port Forwarding & Live Sandboxed Previews | Setting up local preview servers (npx serve). Resolving secure browser permission dialogs ("Allow/Skip" protocols) and inspecting dynamic visual feedback tunnels. |
| 12:30-13:30 | Networking Lunch | Exposed to Malaysian Corporate Context |
| 13:30-14:30 | Module 4: Logical Interactivity & AI Debugging | Using the Copilot Agent to write functional JavaScript logic (adding custom rows data validation and basic browser-side persistence) to transition static UI mockups into interactive applications. |
| 14:30-15:30 | Module 5: Two-Click Production Deployment | Moving from sandboxed environments to public hosting. Using GitHub Pages to securely deploy a live permanent application URL that stakeholders and management can access anytime. |
| 15:30-15:45 | Afternoon Coffee Break | Compliance Buffer |
| 15:45-17:00 | Module 6: Cloud Governance Hackathon & Cleanup | Practical capstone evaluation. Teams build a custom business utility from scratch under time pressure followed by a mandatory "Clean Desk" sequence to shut down active servers and delete legacy Codespaces. |
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COURSE DETAILS AT A GLANCE - 2 AUG 2026 - HELLO@EDU.GPIXL.COM- Provision and manage isolated, secure cloud environments (GitHub Codespaces) completely within a standard web browser interface.
- Utilise Generative AI Agents (GitHub Copilot) via structured, business-focused prompt frameworks to construct responsive application frontends.
- Debug and harden browser interfaces by executing interactive AI "red-teaming" prompts to catch invalid user inputs and handle logic errors.
- Deploy static web applications to free public production servers (GitHub Pages) with two-click publishing pipelines.
- Implement vital Cloud FinOps workflows by auditing active cloud usage and executing necessary shutdown and cleanup procedures.
- GitHub Account (Free Tier) & Active Browser Window
| Time | Module Title | Focus & Deliverables |
|---|---|---|
| 09:00-10:00 | Module 1: The Cloud Sandbox & Secure Environments | Navigating the modern browser-based IDE (GitHub Codespaces). Spinning up a pre-configured developer sandbox container and initializing index.html. |
| 10:00-11:00 | Module 2: Architectural Prompting with AI Agents | Translating manual workflow requirements (e.g. Sales CRM Lead Trackers) into structured AI-agent prompts. Driving Copilot to generate responsive UI. |
| 11:00-11:15 | Morning Coffee Break | Compliance Buffer |
| 11:15-12:30 | Module 3: Port Forwarding & Live Sandboxed Previews | Setting up local preview servers (npx serve). Resolving secure browser permission dialogs ("Allow/Skip" protocols) and inspecting dynamic visual feedback tunnels. |
| 12:30-13:30 | Networking Lunch | Exposed to Malaysian Corporate Context |
| 13:30-14:30 | Module 4: Logical Interactivity & AI Debugging | Using the Copilot Agent to write functional JavaScript logic (adding custom rows data validation and basic browser-side persistence) to transition static UI mockups into interactive applications. |
| 14:30-15:30 | Module 5: Two-Click Production Deployment | Moving from sandboxed environments to public hosting. Using GitHub Pages to securely deploy a live permanent application URL that stakeholders and management can access anytime. |
| 15:30-15:45 | Afternoon Coffee Break | Compliance Buffer |
| 15:45-17:00 | Module 6: Cloud Governance Hackathon & Cleanup | Practical capstone evaluation. Teams build a custom business utility from scratch under time pressure followed by a mandatory "Clean Desk" sequence to shut down active servers and delete legacy Codespaces. |