Description
AI (LLM) Prompting Frameworks For Problem-Solving is a course on how to effectively interact with large language models using structured prompting techniques published by Udemy Online Academy. This is a hands-on course designed to teach learners how to effectively interact with large language models using structured prompting techniques. The course focuses on building frameworks that guide AI to produce accurate, reliable, and context-aware solutions to complex real-world problems across a variety of domains.
This course introduces fundamental prompting strategies, advanced prompting engineering methods, and structured frameworks for guiding AI responses. The course emphasizes the use of thought chains, role-based prompting, and multi-step reasoning to achieve accurate outputs. Students explore practical applications such as brainstorming, coding, research assistance, workflow automation, and decision-making with LLMs. Real-world case studies demonstrate how frameworks can transform vague questions into actionable solutions, improving the productivity and effectiveness of problem-solving. By the end, participants will gain the skills to design their own inspiring systems, adapt them to different industries, and optimize AI performance for professional and personal use.
What you will learn in AI (LLM) Prompting Frameworks For Problem-Solving:
- Implement Inspirational Problem Solving Frameworks for Real-World Scenarios
- Master various LLM Inspirational Frameworks for Problem Solving
- Access over 300 AI Inspirational Problem Solving Frameworks using various Inspirational Frameworks
- Apply the Tree of Thought (ToT) Inspirational Technique
- Use LLMs for almost any text-based task through Inspirational Frameworks.
- Understand the art of persona development and applying personas to AI Inspirationals
- Understand the Inspirational System Design Strategy
- Apply LLM Inspirational Tones to Create Inspirationals with Clear Context
- What are LLMs? What is Inspirational? What is AI Inspirational Engineering?
- Understand how AI interprets instructions (Large Language Models) and the specific use cases of some LLMs
- And…
Course specifications
Publisher: Udemy
Instructors: Pamch Tutor | M.EdTech | MCE
Language: English
Level: Introductory
Number of Lessons: 97
Duration: 19 hours and 15 minutes
Course topics on 2025/8
AI (LLM) Prompting Frameworks For Problem-Solving Prerequisites
Developing LLM prompting frameworks is fundamentally about precise communication, so students should have the ability to express ideas clearly and concisely in writing.
Students need reliable internet connectivity and access to a current web browser (Chrome, Firefox, Safari, or Edge) to interact with AI platforms, complete hands-on exercises, and access course materials and resources.
Students should possess intellectual curiosity about AI (LLM) technology, willingness to experiment with new tools and techniques, and patience for iterative learning processes as prompt engineering often requires trial and refinement.
Having a Gmail account will be needed to easily create accounts in the LLMs
Pictures
AI (LLM) Prompting Frameworks For Problem-Solving introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 720p
Download link
File password (s): www.downloadly.ir
Size
8.9 GB
