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Course Outline
The AI Revolution — Understanding Generative AI
- Overview of Artificial Intelligence and the rise of Generative AI.
- Distinguishing features of Generative AI compared to traditional AI models.
- A high-level explanation of how Generative AI operates.
- Key capabilities and common applications of Generative AI.
- Illustrations of AI-generated text, imagery, code, and other media.
- The impact of Generative AI on workplace efficiency.
- Spotting opportunities to integrate AI into routine tasks.
- Practical activity: Investigating the capabilities of Generative AI.
Practical Prompting and AI Use Cases
- Introduction to the art of prompt engineering.
- The structure of a high-quality prompt.
- Incorporating context, clear instructions, constraints, and examples.
- Crafting precise and specific prompts.
- Common prompting errors and strategies for improvement.
- Refining AI outputs through iterative prompting.
- Real-world workplace applications:
- Drafting and refining email correspondence.
- Condensing documents and key information.
- Facilitating brainstorming sessions.
- Generating and restructuring content.
- Extracting and organizing data.
- Creating plans, checklists, and innovative ideas.
- Live demonstrations paired with guided exercises.
- Hands-on practice within a live-lab setting.
The Safe User — Security, Privacy, and Responsible AI
- Understanding AI inaccuracies and the phenomenon of hallucinations.
- Awareness of limitations and the importance of verifying AI-generated information.
- Handling data privacy and confidential information responsibly.
- Mitigating the risks associated with data leakage.
- Identifying information that must never be input into AI tools.
- Security vulnerabilities specific to Generative AI.
- Ethical frameworks and responsible usage guidelines.
- Recognizing bias and potentially harmful AI outputs.
- Best practices for safe and ethical AI interaction.
- Scenario-based exercises: Distinguishing between safe and unsafe AI practices.
- Open Q&A and group discussion.
Putting Generative AI into Practice — Summary and Action Plan
- Recap of essential Generative AI concepts.
- Review of core prompting principles.
- Identifying high-value AI opportunities within your daily workflow.
- Formulating a personal plan for AI adoption.
- Reinforcing key security and responsible-use principles.
- Final practical exercise and reflective discussion.
- Closing questions and answers.
Requirements
- Basic familiarity with internet usage.
Target Audience
- Professionals seeking foundational knowledge in 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
