Course Format and Delivery
Delivery Method: LiveOnline
Schedule: 4.5 hours
Cost: Contact info-us@softed.com
All sessions are delivered live by an expert instructor in a fully interactive online environment.
*20% off for group bookings when booking 3 or more attendees from the same organization on the same course dates in the same transaction.
About this course
This comprehensive introduction to using generative AI tools at work provides professionals with thorough, practical understanding of AI technologies and their workplace applications. Through interactive demonstrations, hands-on practice, and proven frameworks, participants develop the AI literacy needed to identify opportunities, evaluate risks, and contribute effectively to their organization's AI journey.
What you will learn
- Understand AI fundamentals through clear explanations and real-world examples
- Distinguish between AI types and their appropriate applications
- Evaluate AI outputs critically and identify common limitations
- Apply effective prompting techniques for better results
- Use the 'Sweet Spot' framework to identify high-value AI opportunities
- Navigate privacy, security, and ethical considerations
- Build a personal AI toolkit for immediate productivity gains
- Create an action plan for continued AI skill development
Topics Covered
Materials: Prompt engineering templates, AI evaluation framework guide, safety checklist, tool comparison guide, resources for continued learning
Section 1: Generative AI Foundations
- Demystifying AI: What it really is (and isn't)
- AI vs. traditional software: Key differences
- The AI landscape: Types, categories, and capabilities
- Understanding Large Language Models in plain language
Activity: AI or Not AI?
Section 2: AI in Action
- Live demonstrations across AI categories
- Text generation and analysis
- Image creation and editing
- Data analysis and insights
- Understanding AI strengths and limitations
- Recognizing and managing 'hallucinations'
- Critical evaluation techniques
Activity: Hands-on AI Tool Exploration
Section 3: Practical Application of AI Tools for Work
- Department-specific AI use cases
- Administrative efficiency
- Creative tasks
- Analysis and reporting
- Communication enhancement
- The 'Sweet Spot' framework for opportunity identification
- Building your AI evaluation criteria
Exercise: Personal Workflow AI Mapping
Section 4: Prompting Skills to Use AI Tools Effectively
- Prompt engineering fundamentals
- More advanced prompting techniques
- Context, clarity, and constraints
- Iterative refinement strategies
Practice: Prompt Engineering Challenge
Section 5: Using AI Tools Responsibly
- Privacy and data protection essentials
- Security considerations and best practices
- Ethical AI use in professional contexts
- Understanding organizational policies
- When NOT to use AI: Red flags and restrictions
Exercise: AI Decision Tree Application
Section 6: YOUR AI ACTION PLAN
- Building your personal AI toolkit
- Setting learning goals
- Resources for skill development
- 30-day action plan template
