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Course Outline
The AI Transformation — Grasping Generative AI
- Overview of Artificial Intelligence and the rise of Generative AI.
- Distinguishing characteristics of Generative AI compared to traditional AI models.
- A high-level look at the mechanisms behind Generative AI.
- Standard capabilities and use cases for Generative AI.
- Illustrations of AI-produced text, imagery, code, and other media.
- The impact of Generative AI on workplace efficiency.
- Spotting opportunities to integrate AI into daily workflows.
- Practical session: Exploring the capabilities of Generative AI.
Applied Prompting and Real-World Scenarios
- Foundations of prompt engineering.
- Structure and components of a high-quality prompt.
- Incorporating context, specific instructions, constraints, and examples.
- Crafting precise and clear prompts.
- Common pitfalls in prompting and strategies for improvement.
- Refining AI outputs through iterative prompting techniques.
- Practical workplace applications:
- Drafting and refining email communications.
- Condensing documents and key information.
- Generating ideas through brainstorming sessions.
- Composing and restructuring written content.
- Extracting and organizing data.
- Creating plans, checklists, and conceptual frameworks.
- Live demonstrations and guided practice sessions.
- Hands-on exercises in a live-lab environment.
Responsible Usage — Security, Privacy, and Ethics
- Understanding AI inaccuracies and the phenomenon of hallucinations.
- Recognizing model limitations and verifying generated information.
- Managing data privacy and confidential information.
- Assessing the risks associated with data leakage.
- Defining data types that should never be input into AI tools.
- Security concerns specific to Generative AI.
- Ethical frameworks and responsible AI practices.
- Detecting bias and potentially harmful AI-generated content.
- Best practices for safe and accountable AI usage.
- Scenario-based drills: Distinguishing between safe and unsafe AI practices.
- Q&A and group discussion.
Implementing Generative AI — Recap and Strategic Planning
- Summary of core Generative AI concepts.
- Review of key principles in effective prompting.
- Identifying high-impact AI opportunities within participants' daily responsibilities.
- Formulating a personal strategy for AI integration.
- Reinforcing key security and responsible usage guidelines.
- Final practical exercise and discussion.
- Open floor for questions and answers.
Requirements
- A basic understanding of the internet.
Target Audience
- Individuals seeking to understand the basics of Generative AI.
4 Hours
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
