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Course Outline
The AI Transformation — Grasping Generative AI
- Overview of Artificial Intelligence and the rise of Generative AI
- Distinguishing features of Generative AI versus traditional AI models
- A high-level look at the mechanisms behind Generative AI
- Typical capabilities and widespread applications of Generative AI
- Real-world examples of AI-produced text, imagery, code, and multimedia
- How Generative AI drives efficiency in the modern workplace
- Spotting opportunities to integrate AI into routine tasks
- Hands-on activity: Investigating the capabilities of Generative AI
Applied Prompting and Real-World Use Cases
- Fundamentals of prompt engineering
- Deconstructing the structure of a high-performing prompt
- Incorporating context, specific instructions, constraints, and reference examples
- Crafting precise and unambiguous prompts
- Avoiding common prompting errors to boost outcome quality
- Refining AI responses through iterative prompting techniques
- Workplace applications:
- Drafting and refining professional emails
- Condensing lengthy documents and key information
- Facilitating brainstorming sessions
- Authoring and restructuring content
- Extracting and organizing data points
- Generating strategic plans, checklists, and creative ideas
- Live demonstrations accompanied by guided practice
- Practical exercises in a live-lab environment
Responsible Usage — Security, Privacy, and Ethical AI
- Understanding inaccuracies and "hallucinations" in AI outputs
- Acknowledging system limitations and verifying AI-generated facts
- Navigating data privacy and handling confidential information
- Assessing risks associated with data leakage
- Identifying sensitive information that must never be input into AI tools
- Security implications specific to Generative AI
- Ethical frameworks and the practice of responsible AI deployment
- Detecting bias and potentially harmful generated content
- Actionable guidelines for safe and ethical AI interaction
- Scenario-based drills: Differentiating between safe and unsafe AI practices
- Q&A session and open discussion
Implementing Generative AI — Summary and Strategic Action Plan
- Consolidation of key Generative AI concepts
- Reinforcement of effective prompting strategies
- Mapping high-value AI opportunities to participants' daily workflows
- Formulating a personalized AI adoption strategy
- Reviewing essential security and responsible-use principles
- Final practical exercise and group discussion
- Open questions and answers
Requirements
- Familiarity with standard internet usage
Target Audience
- Professionals and individuals seeking to build 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
