Description:

Many professionals are experimenting with AI tools, but few understand how to integrate AI strategically into real workflows.

This interactive 90-minute session introduces the AI-First Mindset - a practical framework for thinking like an AI architect rather than an AI user. Participants will learn how to break down complex tasks into structured processes that AI systems can assist with, and how visual automation platforms such as n8n can connect AI capabilities to everyday business tools.

Rather than focusing on technical implementation, this session emphasizes strategic thinking and workflow design: understanding how AI processes information, how to structure instructions effectively, and how to combine automation with human oversight.

By the end of the session, participants will have a clear mental model for identifying AI opportunities in their work, designing AI-assisted processes, and implementing them using modern no-code tools.

Duration:

90min

Course Code: BDT 542

Learning Objectives:

After this course, you will be able to:

1. Think in Workflows: Deconstruct manual tasks into "Trigger" and "Action" logic
2. Master Programmatic Prompting: Move from "asking questions" to "giving structured instructions
3. Design AI Systems: Understand how to connect AI to your existing tools (Email, CRM, Sheets) using visual nodes

Business professionals, managers, consultants, and creative problem-solvers who want to move beyond basic AI usage and begin designing AI-enabled workflows in their daily work.

No technical background or coding experience required. Familiarity with common workplace tools such as Google Sheets, email platforms, and team collaboration tools is helpful but not necessary

Course Outline:

1. The Mindset Shift: From "Doer" to "Architect"
   1. The "Digital Intern" Framework: Why we treat AI as a reasoning engine, not a search engine
   2. Deconstruction 101: Breaking a "Big Goal" into "Micro-Tasks" (The Modular Mindset)
   3. Input vs. Output: Why "Garbage In = Garbage Out" is the golden rule of AI automation

2. Visual Logic: The Anatomy of an Automation (n8n Model)
   1. Triggers: Identifying the "When" (e.g., A new lead arrives, a timer goes off, a Slack message is sent)
   2. Nodes & Actions: The "What" (e.g., Categorize this text, translate this file, update a row)
   3. Data Mapping: How information "flows" between apps (e.g., Extracting a phone number from an email to put into a database)

3. Communicating with the Brain: Programmatic Prompting
   1. The "Golden Input": How to feed your specific business context into a "General" AI
   2. Role-Based Logic: Creating "Personas" for different steps of your workflow (The Analyst vs. The Writer)
   3. Constraint Setting: Learning how to tell AI what *not* to do to ensure consistent results

4. The Human-in-the-Loop: Trust & Verification
   1. Strategic Interventions: Deciding where a human must "Approve" before the AI proceeds
   2. Managing Hallucinations: Using "Reference Data" (Grounding) to keep AI factual
   3. The Monday Morning Challenge: Identifying your first "AI-Shaped" problem to solve this week

Training material provided: Yes (Digital format)