Certified Prompt Engineer For Beginners
Introduction
Certified Prompt Engineer is an online, self-paced, beginner-friendly course. It aims to help students learn about prompt engineering and the art of crafting effective prompts for large language models (LLMs) to improve overall productivity. The utility of prompt engineering is quite vast, which is why the course doesn't specify the target audience. Instead, it is for everyone who is currently working or studying. The students will learn about prompt engineering, what makes them better, and elements and examples of some good prompts.Apart from this, the students will learn about the use of LLM and ways to boost their overall productivity with the right use of prompts.
What Will You Gain From This Course?
By the end of this course, the students will be able to:
Learn about prompt engineering fundamentals, its use, and the way it can help anyone in their daily life and work
Get an understanding of prompt engineering, its elements, core principles, and how it works within large language models (LLMs).
Get familiar with different ways to create a perfect prompt that can filter out biases and improve the results.
Learn about effective prompt designs and some of the best practices for crafting prompts that help get the desired responses from LLMs.
Learn about the importance of different techniques like phrasing, instruction clarity, and tailoring prompts to specific tasks.
Get familiar with LLM performance optimization and learn more about crafting a good prompt.
Get an in-depth understanding of well-designed prompts and their role in improving the performance and accuracy of LLMs.
Explore different strategies for reducing bias, improving coherence, and achieving desired outcomes.
Get familiar with industry standards while handling LLMs and their ethical consideration on the job.
Know about the use of prompt engineering and its applications in various fields, potentially including content creation, code generation, and machine translation.
Skills Acquired:
- Prompt Engineering
- Prompt Optimization
- Task-Specific Prompts
- Bias Mitigation
- LLM Understanding
- Evaluation Metrics
Who Can Benefit From This Course?
This course is designed for:
Individuals working in the field of machine learning who are looking for ways to enhance their skills while handling LLMs and get desired results with well-designed prompts.
Data scientists trying to leverage LLMs for daily tasks like data analysis and report generation with the help of effective prompts.
Content creators who want to LLMs for content creation, script writing, copywriting, or creative writing.
Software developers trying to use prompt engineering to improve their software development tasks by code generation or automated testing.
Researchers trying to use LLM and the power of prompt engineering to gain insight and filter better data.
Students who want to learn new things to extract information, improve, and proofread their work.
Business owners trying to automate their daily tasks with the help of AI and prompt engineering.
Aspiring tech professionals trying to learn about the rapidly evolving field of AI and its potential applications.
Course Content
10 Modules – Certificate of Completion
Introduction to Prompt Engineering
The first module of this course offers a general overview of prompt engineering. The students will get a detailed introduction to prompt engineering, why it is so important, some of its applications, and how it can help the students. Since the module covers the basics, it will also help the students get familiar with the core of prompt engineers and know where they can get to use it in future job roles.
Understanding Prompts
The second module of this course goes into detail as it explores different types of prompts. The students will learn more about prompts, the different types of prompts, what a good prompt looks like, what makes a prompt better, and even the basic components of building a solid prompt. They will also get an in-depth understanding of prompt context, the problems with prompts, and some of the common challenges that are linked with using and building prompts.
Principles of Effective Prompt Engineering
The third module of this course focuses on the principles of effective prompt engineering. The students will get familiar with eliciting the desired response, what makes it important, and how to commit to it. The module also covers some other topics and common questions related to eliciting desired responses, like clarity and specificity in prompts, dealing with ambiguity, and handling sensitive topics and content safeguards. Moreover, the students will also get to know more about the importance of context in prompt design, some of the best prompt strategies for better output, and even some useful prompt templates as well.
Creating Effective Prompts
The fourth module of this course helps the students to know more about creating a good prompt. The module starts with a case study that mainly focuses on prompt engineering, along with some simple examples. The students will then get a step-by-step process of creating prompts and learn more about prompt engineering for text summarization. Apart from this, the module also covers task-specific prompt engineering, i.e., information extraction, question answering, text classification, code generation, and reasoning. Finally, the module ends with some easy ways to analyze and evaluate prompt performance.
Working with OpenAI API
The fifth module of this course focuses on different ways to work with OpenAI API. The module starts with an overview of OpenAI API and then looks at different ways ChatGPT can be used and leveraged. The students will learn more about setting up ChatGPt and integrating some setup ChatGPT add-ons as well. Apart from the basics, the students will learn how to use ChatGPT in Google Docs and Google Sheets. Finally, there is a section dedicated to different data generation tricks for ChatGPT in Google Sheets that the students can eventually use to improve productivity at their jobs.
Advanced Prompt Engineering
The sixth module of this course takes the knowledge of the students to an advanced level by looking at some of the innovative engineering techniques and prompts. The module starts by exploring some ways to harness the power of system messages and instructions features in ChatGPT and then looks at ways to deal with biases in prompt responses and mitigate inappropriate or unwanted responses. Moreover, the students will also get to know more about different engineering prompts for multilingual and multicultural contexts and ways to build iterative and interactive prompt chains.
Future of Prompt Engineering and AI Conversations
The seventh module of this course looks at the future of prompt engineering and AI conversations so the students can get to know more about its scope in the years to come. The module starts by explaining the evolution and trends in AI conversational models and then dives into some innovations and opportunities in prompt engineering. Finally, the module ends by mentioning some challenges and ethical considerations in prompt engineering that every user must keep in mind.
Working with Other Popular AI Tools
The eighth module of this course mainly focuses on some of the most popular AI tools that we see today. Within this module, the students will get to use Bard and Claude. The module doesn’t just cover the basics of these popular tools and their features but also helps the students to understand the difference between both and work with these tools to improve overall progress.
Recommended Learning Methodology
The ninth module of this course is just a recommendation section to help the students make the most out of this learning program. As per the recommendation in this section, the students are expected to complete the course in six days while dedicating at least one hour each day. This will help the students make the most out of the course and easily exercise each step as well.
Exam
The last module of this course is a 100-mark exam. The student needs to clear this exam with at least 60+ marks to earn the certificate. To clear the test, the students get three attempts. However, in case the course participant fails to pass the test after exhausting all three attempts there is an option to get assistance as well.
Description
Certified Prompt Engineer is an online, self-paced course by the Blockchain Council. The course covers the basics of prompt engineering. With the help of this course, the students will get to unlock the full potential of commonly available LLMs and improve their quality of life. It equips the students with essential skills that are important to become a proficient, prompt engineer. From different ways to design prompts that elicit desired responses to optimizing LLM performance and addressing potential biases, this course covers everything.
For the convenience of the students, the course is divided into ten modules. Each module covers prompt engineering from a different perspective; following the completion of this course, the students will be able to know more about prompt engineering fundamentals, effective prompt design, prompt optimization, and task-specific prompts.
Meet the Instructor
Blockchain Council
Blockchain Council is one of the biggest names in the blockchain industry. This learning platform was launched in 2017, and since then, it has become one of the best learning platforms for tech professionals, experts’ students, and aspirants. Although Blockchain Council is mainly known as a learning platform offering online courses for beginners and experts working in the field of Blockchain, data science, and Web 3.0 however, the platform is knowledge-sharing as well. Members of the Blockchain Council get to communicate with each other, seek opinions, and share their knowledge about different projects. To facilitate this knowledge sharing, the council organizes different tech-related events, conferences, online forums, virtual events, webinars, etc.