Build Your Digital Force in 4 Hours – Enterprise AI Bootcamp

Enterprise AI Bootcamp DingTalk: From Theory to Practice

The Enterprise AI Bootcamp DingTalk is a 4-hour intensive, hands-on training program designed to equip enterprise professionals with practical AI operation skills using the DingTalk ecosystem. This bootcamp bridges the gap between AI theory and real-world business application, empowering participants to immediately deploy AI-driven workflows in their organisations.

Participants will progress from foundational AI theory through structured hands-on practice with WuKong AI Assistant, AI Tables, and DingTalk Work Space, culminating in a real-world practical exam. By the end of the session, each participant will have built their own digital force — the ability to leverage AI tools to automate workflows, analyse data, manage knowledge, and collaborate effectively across teams.

This Enterprise AI Bootcamp DingTalk is suitable for both in-person and virtual delivery, making it accessible for distributed teams and regional offices across Hong Kong and Asia.

Who Should Attend

This Enterprise AI Bootcamp DingTalk course is ideal for a wide range of business professionals who want to harness the power of AI in their daily operations:

• Enterprise employees looking to boost personal productivity with AI tools
• Team leads and department managers seeking to streamline team workflows
• Operations managers aiming to reduce manual processes and cycle times
• HR and training professionals exploring AI-driven talent and knowledge management
• Business owners and executives wanting to understand how AI can drive ROI
• IT and digital transformation teams responsible for rolling out enterprise AI platforms

Prerequisites: Basic familiarity with DingTalk is recommended. No coding experience is required. Participants should bring a laptop or mobile device with DingTalk installed and logged in prior to the session.

What You Will Learn

By completing this Enterprise AI Bootcamp DingTalk, participants will be able to:

• Explain how generative AI and large language models (LLMs) work and where they add value in enterprise settings
• Identify high-impact AI use cases relevant to their role and industry
• Assess their organisation's AI maturity level and plan a roadmap for improvement
• Use WuKong AI Assistant to draft documents, generate reports, analyse data, and automate routine tasks
• Build intelligent spreadsheets with AI Table using smart fill, AI formulas, and conditional formatting
• Configure a fully functional DingTalk Work Space with linked resources, task tracking, and automated notifications
• Design an end-to-end automated workflow from data collection through to executive reporting
• Apply AI governance principles to ensure data privacy, security, and compliance

Course Modules

Module 1: AI Enterprise Operations Theory (1.5 hours)

Build a solid conceptual foundation for understanding how AI transforms enterprise operations. This module covers the current AI landscape for businesses — including what generative AI and LLMs can and cannot do — along with key capabilities such as text generation, summarisation, data extraction, reasoning, and workflow automation.

Participants will explore five high-impact enterprise AI use cases: intelligent customer service ticketing, marketing content generation and personalisation, data analysis and reporting automation, document and knowledge management, and process automation with approval workflows. Each scenario is illustrated with a real enterprise deployment case study.

The module concludes with the Enterprise AI Maturity Model — a four-level framework (Ad-hoc → Standardised → Optimised → Intelligent) to help organisations benchmark their current state and plan their AI journey. AI governance essentials are also covered, including data privacy compliance, access control, prompt injection risks, content moderation, and audit trails.

Module 2: DingTalk Platform Introduction (0.5 hour)

Understand DingTalk as a comprehensive digital workspace for enterprise AI deployment. This module provides an overview of DingTalk's integrated ecosystem — messaging, video meetings, calendars, documents, approvals, and AI capabilities — and explains how these tools eliminate operational silos.

A live platform tour gives participants a hands-on walkthrough of the DingTalk interface, showing where to find and activate each AI feature. Three core AI capabilities are introduced in detail: WuKong AI Assistant for task automation, document generation, and data analysis; AI Table for intelligent data processing; and DingTalk Work Space for structured team collaboration and knowledge management.

Module 3: Hands-On Practice with WuKong & DingTalk (1 hour)

Apply AI tools to real business scenarios through four structured guided practices:

• Practice 1 — AI-Powered Document Generation: Use WuKong AI Assistant to draft a polished weekly project status report from bullet-point notes. Learn to craft effective prompts for consistent, professional output saved directly to DingTalk Docs.
• Practice 2 — Intelligent Data Management with AI Table: Build a live sales pipeline tracker with smart fill, AI formulas for weighted pipeline calculation, and conditional formatting to flag at-risk deals.
• Practice 3 — Team Collaboration with DingTalk Work Space: Set up a cross-functional project workspace with role-based permissions, linked AI Tables, pinned documents, and automated status-change notifications.
• Practice 4 — End-to-End Workflow Integration: Automate a complete customer feedback loop — from survey collection through WuKong sentiment analysis, executive summary generation, DingTalk approval routing, and archiving to Work Space documents.

Module 4: Practical Exam (1 hour)

The capstone assessment tests participants' ability to independently combine all tools learned into a cohesive, real-world solution. Each participant receives a unique business scenario card and has 40 minutes to design and build their solution without instructor assistance — peer discussion is permitted.

Solutions are scored across five criteria (20 points each): AI Table setup, WuKong integration, Work Space configuration, workflow completeness, and solution quality. A peer review round is followed by an instructor debrief highlighting best practices and common patterns.

Certification & Recognition

Upon successful completion of the practical exam, participants receive official recognition of their AI skills:

• Digital Force Certified badge — awarded to participants scoring 70 points or above
• AI Enterprise Champion badge — awarded to top performers scoring 90 points or above, with priority access to advanced courses

Certified participants also gain access to a dedicated DingTalk community group for ongoing Q&A, best practice sharing, and monthly office hours with instructors. A 90-Day Implementation Plan is provided to guide participants in applying their skills back in the workplace — from automating one report in Week 1, to mentoring a colleague by Month 3.

Course Materials Included

• Participant Workbook: Step-by-step guides for all four practice sessions with screenshots and prompt templates
• Scenario Card Deck: 10 unique business scenario cards for the practical exam (randomly assigned)
• Quick Reference Card: One-page cheat sheet with common WuKong prompts and AI Table formulas
• 90-Day Implementation Plan: Weekly milestones for applying skills in the workplace
• Community Access: Invitation to an exclusive DingTalk group for ongoing support

Course Details

• Duration: 4 hours (240 minutes)
• Format: In-person or virtual instructor-led training
• Language: Cantonese / English (materials available in Traditional Chinese)
• Max Class Size: 20 participants (to ensure individual coaching quality)
• Location: Hong Kong (on-site corporate delivery available)
• Recommended Follow-up: Building Custom AI Agents with WuKong (full-day advanced course)