Generative AI for Professional Excellence
Description
This training program offers all professionals irrespective of their role, a comprehensive introduction to Generative Artificial Intelligence tools and their transformative impact on productivity in the modern workplace. Designed for non-technical audiences, the course demystifies key Generative AI concepts and equips participants with practical skills to integrate GenAI tools, like ChatGPT and DALL·E, into everyday workflows, through interactive sessions and hands-on activities.
Indicative Duration: 12 training hours
*Duration is adjusted based on the final scope and the target audience.
Scope
| 1. The AI Landscape | – Introduction to Artificial Intelligence in a simple and hands‑on way – Presentation of key concepts: AI, Machine Learning, Generative AI – Explanation of terms: prompts, tokens, hallucinations, bias – Examples of AI applications in everyday life – Debunking common AI myths – Highlighting the practical value of AI in personal and professional life |
| 2. Ethical & Responsible use of GenAI | – Focus on the proper, responsible, and ethical use of Artificial Intelligence in work and personal life – Familiarization with the basic ethical principles for using AI tools – What to avoid: misinformation, exposure of personal data, failure to cite sources – Developing critical thinking and evaluating the reliability of AI-generated responses – Preventing bias and discrimination in the outputs of AI tools |
| 3. Prompt Engineering Fundamentals | – Basic functions and features of MS Copilot – MS Copilot vs. ChatGPT: what’s the difference? – Introduction to and practice with prompt creation – Prompt engineering techniques: Zero‑Shot, Few‑Shot, Numbered Steps, Step‑By‑Step Guidance, Chain‑of‑Thought Prompting, Specificity – Analysis of examples & practical tips for optimizing outcomes using core Prompt Engineering techniques |
| 4. Working with Documents & Processes | Demo and practical examples using MS Copilot for everyday work needs in:
Word – Text Editing & Content Organization |
| 5. Working with Data | Demo and practical examples using MS Copilot for everyday work needs in:
Excel – Data Processing |
| 6. Working with Presentations | Demo and practical examples interactive examples using MS Copilot for everyday work needs in:
PowerPoint – Presentation Creation |
| 7. Working with Visuals | Creating Images with Generative AI: – Quick walkthrough commonly used tools – Crafting an effective prompt for image generation – Practical examples (infographics, images for social media, logos) |
Learning Objectives
Upon completion of the course participants will be able to:
- Understand the fundamentals of Generative AI, including its applications, challenges, and ethical considerations.
- Apply effective prompt engineering techniques (e.g., zero-shot, few-shot, chain-of-thought, role prompts) to optimize interactions with AI tools like ChatGPT.
- Use Generative AI to streamline workplace tasks, such as writing documents, summarizing content, scheduling, and planning.
- Analyze data and support decision-making by using AI to extract insights, identify trends, and generate reports and presentations.
- Create visual content using AI tools like DALL·E for infographics, marketing materials, and other design needs.
Target Audience
Office professionals from all departments who want to learn how to use Generative AI effectively
Prerequisite Knowledge
- Requires strong understanding of business management, leadership and digital transformation concepts
- No prior technical knowledge in Generative AI and AI systems is required.
Delivery Method
Sessions can be delivered via the following formats:
- Live Online – Interactive virtual sessions via video conferencing
- On-Site – At your organization’s premises
- In-Person – At Code.Hub’s training center
- Hybrid – A combination of online and in-person sessions
The training methodology combines presentations, live demonstrations, hands-on exercises and interactive discussions to ensure participants actively practice AI in realistic work scenarios.
