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Prompt Engineering for ChatGPT training course

Learn how to design and fine-tune prompts to elicit desired responses from ChatGPT

JBI training course London UK

"I hadn't integrated Pandas with Python before joining my company. So it's very useful to consolidate my understanding of such skill via this course. The Jupyter notebooks provided will be a valuable resource for revising the materials and are really well laid out." 

JL, Data Analyst, Python for Data Science, March 2021

Public Courses

11/03/24 - 1 days
£1195 +VAT
22/04/24 - 1 days
£1195 +VAT
03/06/24 - 1 days
£1195 +VAT

Customised Courses

* Train a team
* Tailor content
* Flex dates
From £1200 / day
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JBI training course London UK

This course provides participants with a solid understanding of how to design and fine-tune prompts to elicit desired responses from ChatGPT. They will also be able to apply these techniques in a variety of real-world scenarios.

  • Basic usage and integration
  • Advanced usage and customization
  • Real-world applications and case studies
  • Best practices and considerations for deployment
  • Discussion and Q&A with industry experts
  • Next steps and opportunities for collaboration
Introduction to Prompt Engineering
• Understanding the power of prompts in ChatGPT
• Basic principles of good prompt design
• Case Study: Evaluating simple, basic prompts

Diving Deeper into Prompt Structures
• Understanding the effects of verbosity, temperature and max tokens
• Instruction Following and Knowledge Retrieval Prompts
• Understanding the System Message for Context
• The Role of Repetition and Patterns in

Prompt Design
Advanced Techniques in Prompt Engineering
• Conversational Depth: Using the User Message and Assistant Message in Prompts
• Designing prompts for complex tasks
• Effectively leveraging the persona and personality traits in your prompts

Skills and Workflow
• Introduction to skill chains and workflows in prompts

AI Training Mastering Prompt Engineering for ChatGPT 2
• Creating a coherent workflow for your prompts
• Defining clear tasks in your prompts
• Case Study: Designing a prompt with a complex skill chain and workflow

Testing and Refining Prompts
• Iterative Prompt Engineering: Test, Evaluate, Improve
• Best practices for testing prompts
• Evaluating and refining your prompts based on outcomes
• Managing and correcting common errors in prompt design
• Predicting the Response to a Given Prompt

Real-world Applications of Prompt Engineering
• Prompt Engineering in Business (e.g., Customer Support, Sales); Creative Applications
(e.g., Writing, Brainstorming); Education and Training
• Using Prompts for Sentiment Analysis and Opinion Generation
• Hands-on: Create a prompt for a specific task
• Peer review: Evaluate and provide feedback on fellow students' prompts

Conclusion and Further Learning
• Recap of key learnings from the course
• Further resources for learning and mastering prompt engineering
• A Look into the Future: Exploring the Potentials of Next-Gen Prompt Engineering
• Final Q&A and course wrap-up

Throughout the course, each module will include:
• Theory: Lectures and readings that discuss the principles of prompt engineering.
• Examples and Demonstrations: Real-world examples of prompts, as well as
demonstrations of how to craft them.
• Practice: Hands-on exercises where learners can create and experiment with their own
prompts.
• Feedback and Review: Opportunities to get feedback on your prompts and understand the
logic behind their successes and failures.
• Discussion: Forums and Q&A sessions where learners can interact, share experiences, and
ask questions.
JBI training course London UK

Software Developers looking to integrate ChatGPT with Python or Java

5 star

4.8 out of 5 average

"I hadn't integrated Pandas with Python before joining my company. So it's very useful to consolidate my understanding of such skill via this course. The Jupyter notebooks provided will be a valuable resource for revising the materials and are really well laid out." 

JL, Data Analyst, Python for Data Science, March 2021

“JBI  did a great job of customizing their syllabus to suit our business  needs and also bringing our team up to speed on the current best practices. Our teams varied widely in terms of experience and  the Instructor handled this particularly well - very impressive”

Brian F, Team Lead, RBS, Data Analysis Course, 20 April 2022

 

Watch client feedback from Python training course: 

JBI training course London UK

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This training course provides an introduction to the core concepts of the Python language, ultimately focusing on Big Data Analytics and Machine Learning applications.

The first three days of the course introduce you to Python tools for data science, including how best to manipulate and visualise your data with Python's excellent library support.

The last two days move one step forward, providing an overview of Artificial Intelligence and Machine Learning with the purpose of implementing predictive analytics applications.

Practical exercises and interactive walk-throughs are used throughout, so attendees have the opportunity to apply the proposed concepts on real data science applications, from exploratory data analysis to predictive analytics.

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