Discover the Future of Productivity with Generative AI
Learn to harness the power of large language models, becoming more efficient and creative in your tasks than you ever imagined.
Join us on this exciting journey and become an expert user of generative AI tools, reshaping your future and how you interact with technology.
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INTRODUCING
Prompt Engineering for ChatGPT
You will learn:
- How to apply prompt engineering to effectively work with large language models, like ChatGPT
- How to use prompt patterns to tap into powerful capabilities within large language models
- How to create complex prompt-based applications for your life, business, or education
Who's This Course For?
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Professionals wanting to elevate their efficiency.
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Creatives seeking new avenues for inspiration.
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Students aiming for a cutting-edge edge in their education.
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Everyday users curious about the future of AI interaction.
Creative Individual Without ChatGPT:
>> Independence in Research: Forced to independently navigate vast amounts of information.
>> Patience: Often requires more time to search for and process data.
>> Critical Thinking: Draws conclusions based on limited information access.
>> Adaptability: Frequently needs to adjust search strategies when required information is not found quickly.
Creative Individual With ChatGPT:
>> Efficiency in Communication: Ability to articulate clear and precise queries.
>> Rapid Decision Making: Receiving answers and information in real-time.
>> Creativity Enhancement: Uses AI for idea generation and content creation.
>> Tech Collaboration Skills: Ability to integrate large language models into workflows.
>> Critical Thinking 2.0: Evaluating and validating responses received from AI.
>> Multitasking: Managing diverse tasks using a single tool.
>> Enhanced Efficiency: Ability to complete tasks faster due to automated responses.
>> More Free Time: Saving time on research and analysis with quick access to information.
>> Productivity: Ability to focus on higher-priority tasks, delegating routine tasks to GPT.
COURSE PROGRAM
In just 16 hours, you'll master GPT, amplifying your creativity and efficiency exponentially.
Introduction to Prompts
- Prompt Patterns & Root Prompts
- The Persona Pattern
- Introducing New Information to the Large Language Model
- Prompt Size Limitations & Tool for Repeated Use
Prompt Patterns I
- Question Refinement Pattern & Flipped Interaction Pattern
- Cognitive Verifier Pattern
- Audience Persona Pattern
Few-shot Examples
- Few-shot Examples: for Actions & with Intermediate Steps
- Writing Effective Few-Shot Examples
- Chain of Thought Prompting & ReAct Prompting
- Using Large Language Models to Grade Each Other
Prompt Patterns II
- Template Pattern & Meta Language Creation Pattern
- Game Play Pattern & Recipe Pattern
- Alternative Approaches Pattern
Prompt Patterns III
- Ask for Input Pattern
- Combining Patterns & Outline Expansion Pattern
- Menu Actions Pattern & Fact Check List Pattern
- Tail Generation Pattern & Semantic Filter Pattern
NICE TO MEET YOU
LEARN FROM EXPERIENCED DATA PROFESSIONALS
Dr. Jules White is an Assistant Professor of Computer Science in the Dept. of Electrical Engineering and Computer Science at Vanderbilt University.
Dr. White’s was previously a faculty member in Electrical and Computer Engineering at Virginia Tech and won the Outstanding New Assistant Professor Award at Virginia Tech. Dr. White’s research focuses on securing, optimizing, and leveraging data from mobile cyber-physical systems. Dr. White's research has been licensed and transitioned to industry, where it won an Innovation Award at CES 2013. His research is conducted through the Mobile Application computinG, optimizatoN, and secUrity Methods (MAGNUM) Group at Vanderbilt University, which he directs. Through his research efforts in model-driven engineering, Dr. White became the project leader of the Eclipse Foundation’s Generic Eclipse Modeling System (GEMS). GEMS is a part of the Eclipse Modeling Project. In collaboration with Lockheed Martin Aeronautics, Dr. White has developed highly scalable particle swarm optimization techniques for optimizing the deployment of software in real-time aeronautics platforms to reduce network traffic. He has also worked on deployment modeling and optimization projects in the automotive and medical imaging domains for Siemens AG. Dr. White’s current work on deployment optimization for multi-core processors is supported by the National Science Foundation, Lockheed Martin, and the Air Force Research Laboratories.
The course is really good at explaining how to use Large Language Models (LLMs) in a simple way. Dr. White knows a lot about the subject and teaches it in a way that's easy to understand. He gives good advice on how to use ChatGPT, showing you both the theory behind it and how to actually use it in real life. This makes the course great for everyone, whether you're new to LLMs or have been working with them for a while.
- Nas, July 2023
This course was exactly what I was looking for. A deeper dive into the possibilities of learning language models, that shows how to use the patterns of language to better control outputs from ChatGPT. I absolutely loved the printable pattern sheets that summarized each different prompt pattern - great future resource to hang onto. Information was well presented and organized. The additional resource articles were phenomenal. I really enjoyed the additional research that coincided with the prompt patterns.
- Lynn B, July 2023
I highly recommend this course to any professionals looking to use technology to enable AI functionality to achieve better outcomes related to automation and consistency. While some knowledge of Computer Science may be helpful, you do not need to know any specific programming languages. Dr. Jules White has genuine expertise and provided actionable use cases for Large Language Models, including various prompting techniques - and combinations thereof. The course was excellent & the tests required continuous application of new concepts.
- Abe M, May 2023
Course
390 €
including VAT
GET STARTED TODAY!
Prompt Engineering for ChatGPT
Learning format
The courses are offered in a flexible, online environment and conclude with a certificate of completion that speaks to your competencies in a contemporary and evolving marketplace.
The total volume of training: 20 academic hours, which consist of 20 hours of independent work (including work on homework).
Payment by invoice
Kindly provide your billing information in the comment field during registration. An invoice will be issued within 3 business days after registration for the training.
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