Generative AI, Prompt Engineering, and ChatGPT for Managers
Master AI tools to boost decision-making, productivity, and business growth
16
students
1 hour
content
Aug 2025
last update
FREE
regular price
What you will learn
Explore how generative AI, prompt engineering, and AI agents are transforming industries
Trace the evolution from traditional programming and neural networks to generative AI.
Explain the meaning and significance of generative AI.
Identify common output types produced by generative AI systems
Explore common generative AI and AI agent tools relevant to business use.
Analyze key characteristics of LLMs, including natural language processing, generative capabilities, contextual understanding, and continuous learning.
Describe the concept of a prompt and the role of prompt engineering in AI interactions.
Break down the core components of well-structured prompts: task, context, data input, and output format.
Explore zero-shot, one-shot, and few-shot prompting techniques and their applications.
Identify and apply various types of modifiers including length, comparative, role-based, style, perspective, format, scenario-based, and instruction-based modif
Analyze how model parameters—tokens, temperature, top-k, top-p—influence AI-generated content.
Explore advanced prompting techniques such as Chain of Thought, Iterative, and Tree of Thought prompting.
Apply these techniques through real-world managerial case studies.
Analyze practical applications of AI in management through case studies
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6783121
udemy ID
20/08/2025
course created date
27/08/2025
course indexed date
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