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Course Outline
The AI Revolution — Understanding Generative AI
- Overview of Artificial Intelligence and the emergence of Generative AI.
- Distinguishing Generative AI from traditional AI systems.
- A high-level look at the mechanics behind Generative AI.
- Exploring common capabilities and real-world applications.
- Reviewing examples of AI-generated text, images, code, and other content types.
- Examining the impact of Generative AI on workplace productivity.
- Spotting opportunities to integrate AI into routine tasks.
- Practical exercise: Investigating the capabilities of Generative AI.
Practical Prompting and AI Use Cases
- An introduction to the discipline of prompt engineering.
- Deconstructing the components of a successful prompt.
- How to effectively provide context, instructions, constraints, and examples.
- Techniques for writing clear and precise prompts.
- Avoiding common pitfalls and strategies to enhance output quality.
- Refining AI-generated responses through iterative prompting.
- Real-world workplace applications:
- Composing and refining professional emails.
- Condensing documents and key information.
- Facilitating creative brainstorming sessions.
- Structuring and reorganizing content efficiently.
- Extracting and systematizing data and insights.
- Developing plans, checklists, and strategic ideas.
- Live demonstrations paired with guided exercises.
- Hands-on practice within a live-lab setting.
The Safe User — Security, Privacy, and Responsible AI
- Understanding the nature of AI inaccuracies and "hallucinations".
- Acknowledging limitations and verifying AI-generated facts.
- Managing data privacy and handling confidential information.
- Assessing the risks associated with data leakage.
- Identifying types of information that must never be input into AI tools.
- Addressing security risks specific to Generative AI.
- Navigating ethical considerations and promoting responsible AI adoption.
- Detecting bias and potentially harmful outputs.
- Adhering to practical guidelines for safe usage.
- Scenario-based exercises: Distinguishing between safe and unsafe practices.
- Open Q&A and discussion session.
Putting Generative AI into Practice — Summary and Action Plan
- Recap of key Generative AI concepts.
- Review of effective prompting principles.
- Identifying high-value AI opportunities within daily workflows.
- Crafting a personalized AI usage strategy.
- Reinforcing core security and responsible-use standards.
- Culminating practical exercise and group discussion.
- Final questions and answers.
Requirements
- Basic familiarity with internet usage.
Target Audience
- Individuals seeking to understand the basics of Generative AI.
4 Hours
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 1600 € + VAT*
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Testimonials (3)
The most valuable part was the practical examples that made the material easy to understand
Ropiudin Ropie - PT Sigma Cipta Utama
Course - AI Foundations for the Modern Workplace
Pre and post test
Yudha Nenggala - PT Sigma Cipta Utama
Course - AI Foundations for the Modern Workplace
all, i learned a lot abt GPT and AI
