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Course Outline
The AI Revolution — Understanding Generative AI
- Introduction to Artificial Intelligence and Generative AI.
- Distinguishing Generative AI from traditional AI systems.
- High-level overview of how Generative AI operates.
- Overview of common Generative AI capabilities and use cases.
- Review of AI-generated text, images, code, and other content types.
- The impact of Generative AI on workplace productivity.
- Identifying opportunities to integrate AI into everyday workflows.
- Practical exercise: Exploring Generative AI capabilities.
Practical Prompting and AI Use Cases
- Introduction to prompt engineering.
- Understanding the anatomy of an effective prompt.
- Techniques for providing context, instructions, constraints, and examples.
- Crafting clear and specific prompts.
- Common prompting errors and strategies for improving results.
- Iterative prompting and refining AI-generated responses.
- Practical workplace use cases:
- Drafting and enhancing emails.
- Summarizing documents and key information.
- Brainstorming and ideation.
- Creating and restructuring content.
- Extracting and organizing data.
- Generating plans, checklists, and strategic ideas.
- Live demonstrations and guided practice sessions.
- Hands-on exercises in a live-lab environment.
The Safe User — Security, Privacy, and Responsible AI
- Understanding AI-generated inaccuracies and "hallucinations".
- Recognizing limitations and verifying AI-generated information.
- Best practices for data privacy and handling confidential information.
- Identifying data leakage risks.
- Defining information that should never be input into AI tools.
- Security risks specific to Generative AI.
- Ethical considerations and responsible AI usage.
- Detecting bias and potentially harmful AI-generated content.
- Practical guidelines for safe and responsible AI interaction.
- Scenario-based exercises: Differentiating between safe and unsafe AI practices.
- Q&A and open discussion.
Putting Generative AI into Practice — Summary and Action Plan
- Review of key Generative AI concepts.
- Recap of effective prompting principles.
- Identifying high-value AI opportunities within participants' daily work.
- Developing a personal AI usage plan.
- Reinforcing key security and responsible-use principles.
- Final practical exercise and group discussion.
- Questions and answers.
Requirements
- A basic understanding of internet usage
Audience
- All professionals interested in the fundamentals 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
