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Course Outline
The AI Revolution — Understanding Generative AI
- An introduction to Artificial Intelligence and the specific domain of Generative AI
- Distinguishing characteristics that set Generative AI apart from traditional AI models
- A high-level overview of the operational mechanics of Generative AI
- Overview of common capabilities and real-world applications
- Illustrative examples of AI-generated text, images, code, and other media
- The impact of Generative AI on enhancing workplace productivity
- Spotting opportunities to integrate AI into everyday workflows
- Practical exercise: Exploring the range of Generative AI capabilities
Practical Prompting and AI Use Cases
- Foundations of prompt engineering
- Deconstructing the elements of an effective prompt
- Strategies for providing context, clear instructions, constraints, and examples
- Crafting prompts that are both clear and specific
- Addressing common prompting errors and techniques to improve outcomes
- The process of iterative prompting and refining AI responses
- Practical workplace applications:
- Drafting and polishing emails
- Condensing documents and complex information
- Facilitating brainstorming sessions
- Creating and restructuring content
- Extracting and structuring data
- Generating plans, checklists, and innovative ideas
- Live demonstrations accompanied by guided exercises
- Hands-on practice sessions in a live-lab environment
The Safe User — Security, Privacy, and Responsible AI
- Understanding inaccuracies and "hallucinations" in AI-generated content
- Recognizing AI limitations and verifying generated information
- Considerations for data privacy and handling confidential data
- Assessing risks associated with data leakage
- Identifying types of information that must never be input into AI tools
- Security vulnerabilities linked to Generative AI
- Ethical frameworks and responsible usage guidelines
- Detecting bias and potentially harmful AI-generated outputs
- Practical protocols for safe and responsible AI adoption
- Scenario-based exercises: Distinguishing between safe and unsafe AI practices
- Q&A and group discussion
Putting Generative AI into Practice — Summary and Action Plan
- Recap of essential Generative AI concepts
- Review of key principles for effective prompting
- Identifying high-value AI opportunities within participants' daily workflows
- Formulating a personalized AI usage strategy
- Reinforcing key security and responsible-use guidelines
- Final practical exercise and open discussion
- Open floor for questions and answers
Requirements
- A basic familiarity with the internet
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
