Power of Prompt Engineering (No code) with ChatGPT: Generative AI to AI Agents for Beginners
Sub Category
- Other IT & Software
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Objectives
- Explore how generative AI, Prompt engineering and AI Agents transforming fields like Marketing, HR, Coding and Business Strategy
- Explain the meaning of Generative AI
- Identify the common output types of generative AI systems.
- Explain the meaning of AI Agents
- Explore some Common Tools of Generative AI & AI Agents.
- Explain the meaning of Large Language Model (LLM) is and why it is called "large" language Model.
- Analyse the key Characterstics of LLM:Natural Language Processing (NLP), Generative Capabilities, Contextual Understanding, Continuous Learning
- Describe the concept of a prompt and the role of prompt engineering.
- Break down the core components of a well-structured prompt: task, context, data input, output format.
- Explore Zero-shot, One-shot, and Few-shot prompting techniques.
- Identify and apply various types of modifiers: length, comparative, role-based, style, perspective, format, scenario-based, and instruction-based.
- Analyze how model parameters (tokens, temperature, top-k, top-p) influence AI-generated content.
- Explore the advanced Prompting techniques like:Chain Of Thought, Iterative and Tree of Thought Prompting.
- Apply these techniques in real-world case studies.
Pre Requisites
- No prior coding experience is required
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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