AI ESSENTIALS FOR TODAY'S WORKFORCE
Live-Online Training: N210,000
Classroom Training: N280,000
3 - 4 participants: 5% discount
5 or more participants: 10% discount
(Available also for Customised Training by Duration, Venue & Fee)
Program Description
This three-day course equips non-technical professionals with foundational AI knowledge tailored to modern workplace dynamics. Participants will explore AI’s role in industries, ethical considerations, and strategies for thriving in an AI-augmented workforce.
Course Objectives:
- Understand AI’s relevance to workplace productivity, decision-making, and industry trends.
- Gain hands-on experience with AI tools used in daily workflows.
- Navigate ethical challenges, privacy concerns, and bias in workplace AI.
- Prepare for future trends and upskilling opportunities in an AI-driven world.
Course Outline
Day
1: AI Fundamentals and Workplace Applications
Module 1: What is AI?
● Simplified definitions: AI, machine learning, generative AI.
● Workplace relevance: Automation vs. augmentation, industry-specific use cases (e.g., healthcare diagnostics, retail inventory AI).
Module 2: AI in Daily Workflows
● Hands-on activities:
○ Using ChatGPT for drafting emails/reports.
○ Exploring Excel’s AI-driven data insights.
○ Interacting with HR chatbots (e.g., Mya for recruitment).
● Case Study: How Netflix’s recommendation engine boosts engagement.
Module 3: How AI Works (Non-Technical)
● Data patterns, training models, and real-time decision-making.
● Interactive Q&A: Addressing myths about AI replacing jobs.
Day
2: AI-Driven Productivity and Upskilling
Module 1: AI in Industry Sectors
● Breakout sessions:
○ Healthcare: AI-assisted diagnostics.
○ Finance: Fraud detection algorithms.
○ Marketing: Personalized customer journeys.
Module 2: Tools for Collaboration & Efficiency
● Demo: AI in Microsoft 365 Copilot (drafting documents, analyzing data).
● Activity: Using Trello’s AI for predictive project timelines.
Module 3: Upskilling for the AI Era
● Critical human skills: Creativity, emotional intelligence, critical thinking.
● Lifelong learning: Platforms like LinkedIn Learning/Coursera.
● Group Discussion: “How can AI free up time for strategic work?”
Day
3: Ethics, Privacy, and Future Trends
Module 1: Ethics in Workplace AI
● Scenario-based discussions:
○ Bias in hiring algorithms (e.g., Amazon’s resume-screening case).
○ Employee surveillance and productivity tracking.
● Guidelines for ethical AI adoption (transparency, fairness).
Module 2: Privacy and Regulations
● GDPR/CCPA compliance in employee data usage.
● Activity: Evaluating privacy policies of AI tools.
Module 3: Future of Work with AI
● Trends: Hybrid teams, AI co-pilots, and new roles (e.g., AI trainers).
● Panel Discussion: “Will AI create or eliminate jobs?”
Wrap-Up & Resources
● Key takeaways: AI as a collaborator, not a competitor.
● Resource guide: Industry reports, podcasts, and courses.
● Action Plan: Steps to stay AI-literate in your field.