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Course Outline
The AI Shift — Grasping the Basics of Generative AI
- Overview of Artificial Intelligence and the emergence of Generative AI
- Distinguishing Generative AI from conventional AI models
- High-level insights into the mechanics of Generative AI
- Standard features and real-world applications of Generative AI
- Illustrations of AI-produced text, imagery, code, and other media
- Enhancing workplace efficiency through Generative AI
- Spotting opportunities to integrate AI into daily workflows
- Applied exercise: Investigating the capabilities of Generative AI
Effective Prompting and Real-World Applications
- Introduction to the craft of prompt engineering
- Deconstructing the structure of high-quality prompts
- Incorporating context, directives, limitations, and examples
- Crafting precise and unambiguous prompts
- Common pitfalls in prompting and strategies for enhancement
- Refining outputs through iterative prompting
- Professional scenarios for AI integration:
- Composing and polishing emails
- Condensing lengthy documents and key information
- Generating creative ideas for brainstorming
- Producing and reorganizing content structures
- Extracting data and organizing insights
- Formulating strategies, checklists, and conceptual frameworks
- Guided live demos and structured exercises
- Practical application in a live-lab setting
Responsible Usage — Security, Privacy, and Ethics
- Navigating AI inaccuracies and understanding 'hallucinations'
- Awareness of limitations and verifying AI outputs
- Handling data privacy and confidential records
- Assessing the risk of data leakage
- Defining prohibited inputs for AI systems
- Security vulnerabilities linked to Generative AI
- Ethical frameworks and responsible deployment
- Identifying bias and potentially harmful AI content
- Best practices for secure and ethical AI utilization
- Scenario-based drills: Differentiating safe from unsafe practices
- Open Q&A and facilitated discussion
Application and Action Plan — Key Takeaways
- Summary of core Generative AI principles
- Review of best practices for effective prompting
- Identifying high-impact AI integration points in daily operations
- Formulating an individualized AI adoption strategy
- Reinforcing security and responsible usage standards
- Concluding practical exercise and group discussion
- Final questions and answers
Requirements
- Basic familiarity with the internet
Target Audience
- Professionals seeking to master 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
