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Course Outline
The AI Shift — Grasping Generative AI
- Overview of Artificial Intelligence and Generative AI
- Distinguishing Generative AI from conventional AI models
- High-level operational mechanics of Generative AI
- Standard capabilities and real-world applications
- Case studies involving AI-generated text, imagery, code, and media
- The impact of Generative AI on organizational productivity
- Spotting opportunities to integrate AI into daily workflows
- Practical exercise: Investigating the features of Generative AI
Applied Prompting and Business Use Cases
- Basics of prompt engineering
- The structure of a high-performance prompt
- Strategies for adding context, setting constraints, and providing examples
- Crafting precise and clear instructions
- Addressing common prompting errors and optimizing outputs
- Refining responses through iterative prompting
- Practical workplace scenarios:
- Composing and refining professional emails
- Condensing documents and complex information
- Idea generation and brainstorming sessions
- Developing and restructuring content
- Extracting and structuring data
- Formulating plans, checklists, and strategic ideas
- Live demonstrations and guided practical tasks
- Interactive practice in a live-lab setting
Responsible Usage — Security, Privacy, and Ethics
- Understanding AI inaccuracies and the concept of hallucinations
- Recognizing system limitations and verifying generated content
- Managing data privacy and confidential information
- Assessing risks related to data leakage
- Protocols for information that must never be input into AI tools
- Security threats specific to Generative AI platforms
- Ethical frameworks and responsible AI deployment
- Detecting bias and potentially harmful generated content
- Best practices for safe and compliant AI utilization
- Scenario-based drills: Distinguishing safe from unsafe practices
- Q&A session and group discussion
Implementing Generative AI — Recap and Strategic Planning
- Summary of key Generative AI concepts
- Review of essential prompting methodologies
- Identifying high-impact AI applications for individual workflows
- Creating a personal AI adoption strategy
- Core principles of security and responsible use
- Final practical exercise and peer discussion
- Closing Q&A
Requirements
- Familiarity with internet usage
Target Audience
- Individuals seeking a foundational understanding 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
