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Course Outline
The AI Revolution: Grasping Generative AI
- Overview of Artificial Intelligence and the emergence of Generative AI.
- Distinguishing the unique characteristics of Generative AI from traditional AI models.
- A high-level look at the operational mechanics of Generative AI.
- Exploring common capabilities and real-world applications.
- Reviewing examples of AI-generated text, images, code, and other media.
- Examining the impact of Generative AI on workplace productivity.
- Spotting opportunities to integrate AI into routine tasks.
- Practical session: Exploring the functional boundaries of Generative AI.
Effective Prompting and Real-World Applications
- Foundations of prompt engineering.
- Analyzing the structure of high-performing prompts.
- Techniques for providing context, instructions, constraints, and examples.
- Crafting clear and precise prompt directives.
- Addressing common prompting errors and strategies for improvement.
- Refining outputs through iterative prompting and response adjustment.
- Key workplace use cases include:
- Drafting and polishing professional emails.
- Condensing complex documents and information sets.
- Facilitating creative brainstorming sessions.
- Creating and restructuring written content.
- Extracting and organizing key data points.
- Generating structured plans, checklists, and innovative ideas.
- Live demonstrations paired with guided practice.
- Hands-on experimentation within a live-lab setting.
The Responsible User: Security, Privacy, and Ethics
- Understanding AI inaccuracies and the phenomenon of hallucinations.
- Recognizing model limitations and methods for verifying AI-generated data.
- Protecting data privacy and handling confidential information securely.
- Assessing the risks associated with data leakage.
- Defining information types that must never be input into AI tools.
- Evaluating security vulnerabilities specific to Generative AI.
- Navigating ethical considerations and responsible usage standards.
- Identifying bias and potentially harmful content in AI outputs.
- Implementing practical guidelines for safe and responsible AI interaction.
- Scenario-based exercises focused on distinguishing safe from unsafe practices.
- Open Q&A and group discussion.
Implementation Strategy: Summary and Action Plan
- Consolidation of key Generative AI concepts.
- Review of essential prompting principles.
- Identifying high-value AI integration points in participants' daily workflows.
- Formulating a personal strategy for AI utilization.
- Reinforcing critical security and responsible-use guidelines.
- Final practical application and group discussion.
- Session closing and question round.
Requirements
- Basic familiarity with internet navigation and usage.
Target Audience
- Individuals interested in acquiring foundational knowledge 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
