Advanced Prompt Engineering

1h 23m 57s
English
Paid

This course is dedicated to advanced methods in Prompt Engineering for large language models (LLMs) and their effective application in various scenarios. Students will study cutting-edge techniques such as prompt chaining, PAL, and ReAct, and learn to apply them to real-world tasks.

Upon completing the course, students will be able to skillfully design complex prompts and build intelligent AI systems using advanced approaches for interacting with LLMs.

Course Requirements

  • If you are a beginner in prompt engineering, it is recommended to first take the course "Introduction to Prompt Engineering".
  • The main tool for the course is Flowise AI (a no-code platform for building complex AI processes).
  • Some modules will require basic use of Python.
  • A paid OpenAI account is required for working with the API (setup instructions are provided in the course).

Course Topics

During the course, students will master Flowise AI and learn and apply advanced prompt writing techniques.

Main topics of the course:

1. Introduction to Flowise AI

  • Introduction to a popular no-code tool for creating advanced chat flows with LLMs.
  • Setup of the working environment and API keys.

2. Prompt Chaining

  • How to combine multiple prompts in sequence to perform complex tasks.
  • Examples and practical exercises to master the technique.

3. Creating a Chatbot with LLMs

  • Development of a food recommendation chat using prompt chaining.
  • Step-by-step practical guide to creating a functional chatbot in Flowise AI.

4. PAL (Program-Aided Language Models)

  • Use of programmatic thinking in AI.
  • How LLMs can generate and execute code to solve complex tasks.
  • Live demonstration of PAL capabilities and its practical application.

5. ReAct Prompting (Reasoning + Acting)

  • Overview of the ReAct technique, which combines logical reasoning and action planning in LLMs.
  • Practical exercises on creating AI capable of making decisions based on reasoning.

6. Developing an Advanced Agentic Chatbot (Agentic Food Chatbot)

  • Final course project: development of an AI bot for nutrition recommendations.
  • Use of prompt chaining, ReAct, and agentic components in Flowise AI.
  • Step-by-step guide to creating an intelligent, autonomous LLM bot.

Who this Course is For

The course will be beneficial for professionals in the fields of artificial intelligence, chatbot development, process automation, customer support, marketing, data analysis, and anyone who wants to master advanced interaction methods with LLMs.

Conclusion

After completing the course, students will be able to effectively design prompts for complex AI systems, develop intelligent chatbots, and apply advanced prompt engineering techniques to optimize interaction with LLMs.

About the Author: DAIR.AI

DAIR.AI thumbnail

DAIR.AI — AI Research, Education, and Consulting Organization

DAIR.AI is an organization dedicated to the democratization of artificial intelligence (AI) through research, education, and technology development. Its mission is to make advanced AI knowledge and tools more accessible to individuals, developers, and organizations worldwide.

Core Areas of DAIR.AI

DAIR.AI operates across several key domains in the AI ecosystem:

1. AI Research and Innovation

  • Development of advanced methodologies in artificial intelligence
  • Exploration of modern AI systems, including large language models (LLMs)
  • Contribution to open knowledge and research accessibility

2. Education and Training

  • Professional training programs in AI and machine learning
  • Educational resources for developers and researchers
  • Workshops and learning materials focused on real-world AI applications

3. Consulting and Professional Services

  • Strategic guidance for companies adopting AI technologies
  • Technical consulting for AI system implementation
  • Support for building scalable and reliable AI solutions

Mission: Democratizing Artificial Intelligence

DAIR.AI focuses on reducing barriers to entry in AI by:

  • Providing access to cutting-edge research and tools
  • Supporting developers and organizations in AI adoption
  • Encouraging collaboration within the global AI community

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#1: Introduction
All Course Lessons (15)
#Lesson TitleDurationAccess
1
Introduction Demo
00:27
2
Course Objectives and Structure
01:31
3
Installing Flowise AI
02:50
4
Basic Chatflow with Flowise AI
05:47
5
Introduction to Prompt Chaining
02:22
6
Applied Prompt Chaining
14:04
7
Food Chatbot with Prompt Chaining
02:30
8
Building the Food Chatbot
11:52
9
Introduction to PAL
03:00
10
PAL Demo
06:02
11
Introduction to ReAct Prompting
05:26
12
ReAct Demo
08:40
13
ReAct Under the Hood
07:18
14
Agentic Food Chatbot
01:16
15
Agentic Food Chatbot with Flowise AI
10:52
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