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Course Outline
The AI Transformation — Deciphering Generative AI
- Overview of Artificial Intelligence and the evolution of Generative AI
- Distinguishing Generative AI from conventional AI frameworks
- A conceptual overview of Generative AI operations
- Standard capabilities and real-world applications of Generative AI
- Demonstrations of AI-generated assets, including text, imagery, code, and multimedia
- The impact of Generative AI on organizational productivity
- Discovering opportunities to integrate AI into routine workflows
- Workshop: Investigating the capabilities of Generative AI tools
Strategic Prompting and Applied Scenarios
- Foundations of prompt engineering
- Structural elements of a high-quality prompt
- Incorporating context, directives, constraints, and exemplars
- Crafting precise and unambiguous instructions
- Common pitfalls in prompting and strategies for optimization
- Iterative refinement of AI responses through progressive prompting
- Professional application examples:
- Composing and refining professional correspondence
- Condensing complex documents and data sets
- Facilitating creative brainstorming sessions
- Generating and reorganizing written content
- Extracting and structuring key information
- Formulating strategic plans, checklists, and conceptual ideas
- Live walkthroughs and supervised practice sessions
- Independent practice within a controlled live-lab environment
Responsible Utilization — Security, Privacy, and Ethics
- Understanding inaccuracies and the phenomenon of AI "hallucinations"
- Identifying system limitations and verifying AI outputs
- Protecting data privacy and confidential organizational information
- Assessing risks related to unintended data exposure
- Defining prohibited data inputs for AI interfaces
- Security vulnerabilities inherent in Generative AI systems
- Ethical frameworks and responsible deployment practices
- Detecting bias and potentially harmful content generation
- Best practices for secure and accountable AI usage
- Case studies: Differentiating between safe and unsafe AI interactions
- Open Q&A and collaborative discussion
Implementing Generative AI — Synthesis and Strategic Planning
- Consolidation of core Generative AI principles
- Review of best practices in prompt engineering
- Identifying high-impact AI integration points in individual workflows
- Constructing a personalized AI adoption roadmap
- Reinforcing key security and responsible use guidelines
- Capstone exercise and group dialogue
- Final questions and answers
Requirements
- Basic proficiency with internet navigation
Target Audience
- Professionals seeking a foundational understanding of generative AI capabilities
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
