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Course Outline
The AI Shift — Grasping Generative AI
- Overview of Artificial Intelligence and the advent of Generative AI.
- Distinguishing factors between Generative AI and conventional AI models.
- A high-level perspective on the operational mechanics of Generative AI.
- Standard capabilities and real-world applications of Generative AI.
- Illustrative examples of AI-created text, visuals, code, and additional content.
- The contribution of Generative AI to enhancing workplace efficiency.
- Spotting chances to integrate AI into routine tasks.
- Practical activity: Investigating the range of Generative AI features.
Applied Prompting and Real-World Scenarios
- Introduction to the discipline of prompt engineering.
- Deconstructing the structure of a successful prompt.
- Incorporating context, directives, limitations, and exemplars.
- Crafting prompts that are both clear and precise.
- Addressing frequent prompting errors to enhance output quality.
- Refining AI responses through iterative prompting techniques.
- Practical workplace applications:
- Drafting and refining professional emails.
- Condensing lengthy documents and data.
- Facilitating creative brainstorming sessions.
- Developing and restructuring written content.
- Extracting and categorizing key information.
- Producing strategic plans, checklists, and innovative ideas.
- Live demonstrations accompanied by guided practice.
- Hands-on engagement within a live-lab environment.
The Responsible User — Security, Privacy, and Ethical AI
- Understanding inaccuracies and "hallucinations" in AI outputs.
- Identifying limitations and verifying information generated by AI.
- Handling data privacy and sensitive corporate information.
- Comprehending the risks associated with data leakage.
- Defining categories of information that must never be input into AI systems.
- Security vulnerabilities linked to Generative AI usage.
- Ethical frameworks for responsible AI adoption.
- Recognizing bias and potentially harmful content generated by AI.
- Best practices for secure and responsible AI utilization.
- Scenario-based drills: Differentiating safe versus unsafe AI behaviors.
- Q&A session and open discussion.
Implementing Generative AI — Recap and Strategic Planning
- Consolidation of core Generative AI concepts.
- Recap of best practices for effective prompting.
- Identifying high-value AI integration opportunities within participants' daily workflows.
- Formulating an individual AI utilization strategy.
- Review of key security and responsible-use guidelines.
- Final practical exercise followed by group discussion.
- Closing questions and answers.
Requirements
- Familiarity with internet navigation.
Target Audience
- Any individual seeking 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
