Ai in Motion
Stop spectating the AI shift and start leading it. 'AI in Motion' is a high-impact masterclass designed to transition your team from basic prompting to full-scale workflow orchestration, turning static strategy into automated momentum.
Duration
3 Days
Instructor
Bill Gates
Venue
Marina Bay Sands, Singapore

AI in Motion is a practitioner-led masterclass designed for teams ready to move beyond basic chat interfaces. This program breaks down the "black box" of Large Language Models (LLMs) and provides a clear, repeatable framework for integrating AI into the daily pulse of your business operations.
Throughout this course, we move at the speed of the industry. We don't just talk about prompts; we build workflows. We don't just discuss strategy; we orchestrate automated systems that scale your marketing, sharpen your sales precision, and reclaim hundreds of hours of team productivity.
Course Syllabus
Module 1: Beyond the Prompt
The Architecture of LLMs: Understanding how models "think" and why basic prompting fails at scale.
Chain-of-Thought Reasoning: Mastering advanced prompting techniques to solve complex multi-step problems.
Token Optimisation: Reducing "hallucinations" and increasing output precision for corporate data.
Module 2: Building the AI Workflow
The Orchestration Framework: Mapping your current manual business processes to an AI-augmented state.
Human-in-the-Loop Systems: Designing workflows where AI handles the heavy lifting and humans handle the final 10% of "critical sign-off."
Tool Selection: Auditing the current AI landscape to pick the right agents for your specific industry stack.
Module 3: High-Velocity Marketing & Sales
Intent-Based Content Engine: Automating personalized outreach and content creation that adapts to real-time buyer signals.
Data Synthesis & Insights: Using AI to analyze thousands of customer touchpoints to identify hidden sales opportunities.
Performance Monitoring: Setting up automated feedback loops to ensure AI outputs remain on-brand and high-converting.
Module 4: Governance & The Future Roadmap
Enterprise Guardrails: Implementing security protocols to protect proprietary data and ensure ethical AI usage.
Scaling the Impact: Transitioning from a single "Pilot" project to an organization-wide AI culture.
The 2026 Landscape: A look ahead at Autonomous Agents and the next wave of "Composable Intelligence."
Key Learning Outcomes
- From Prompting to Orchestration: Move beyond simple "Chat" interactions to building multi-step AI workflows that handle complex business logic.
- The "AI Bilingual" Framework: Master the ability to translate specific commercial challenges into effective algorithmic instructions.
- Intent-Based Marketing: Shift from manual content creation to automated, high-precision engagement systems that react to real-time user data.
- Operational Velocity: Reclaim up to 30% of your team's weekly bandwidth by automating repetitive cognitive tasks and data synthesis.
- Risk & Ethics Governance: Establish clear guardrails for data privacy, bias mitigation, and brand safety in a Generative AI environment.
- Measurable ROI Mapping: Learn to calculate the tangible impact of AI deployment on your bottom line, moving from "cool tech" to "core asset."
Available Course Dates
Course Cost
S$1500
Booking Open
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