Following the completion of the course, the students have better planning, designing, and developing skills with the help of AI. The students will be able to retrieve useful information, research things better, and become proficient in problem-solving and decision-making.
Following the completion of this course, the students will:
This course is designed for:
10 Modules – Certificate Of Completion
This is an introductory module that offers a brief overview of the course. Through this section, the students will get to know more about the course, its content, its instructor, and the next modules. This section includes a message from the instructor along with disclaimers, a downloadable certification presentation, and a prompt engineering glossary.
This marks the first official module of the course as it offers the intro to the large language model. The student will develop an understanding of large language models (LLMs), different LLM processes, ways to generate human-like text, and some advanced knowledge about the architecture of LLMs. The students will get to explore and work with ChatGPT and get to know about its alternatives as well. The module also contains a section that can help the students become familiar with the limitations and capabilities of ChatGPT and DALL-E. This module wraps up with a quick overview and some Interactive Exercises.
This module is all about core concepts of prompt engineering. The module starts with an overview and then introduces prompting. It doesn’t just offer an overview but also looks at the role of prompts, the intuition behind prompts, the role of prompts in programming with LLMs, and some key points of prompts like delimiters, checking conditions, and giving details. By the end of this module, the students will get a brief overview of prompt size limitations.
This is a slightly detailed module that looks at some of the best and most used prompt engineering techniques. The module offers an introduction to prompt patterns and then dives deeper into prompt patterns, zero-shot prompting, few-shot prompting, and chain-of-thought prompting styles. For some hands-on experience, this module also includes some interactive exercises that can be helpful in daily life, especially related to prompt patterns. The students will also get to discover the tree of thought prompting, applications of self-consistency in prompting, retrieval augmented generation, and some basics of automatic prompt engineering.
This module focuses on the use of OpenAI API. The module starts with an overview and then gets into details about OpenAI API, its mechanism, OpenAI API parameters, and their significance as well. The students will learn more about obtaining the OpenAI API key and building and running a chatbot. For a hands-on experience, the module includes some interactive exercises, especially some basic exercises related to prompt engineering chatbots.
This module is all about advanced prompt engineering. This module starts by introducing advanced prompting techniques and then explores common prompt Pattern types. The students will learn about creating complex prompt-based applications, content generation with advanced prompting, text summarization using LLMs, classification, categorization, and sentiment analysis. Finally, there is a section dedicated to data extraction with LLMs, language translation, and spell grammar checks using LLMs, so writers and content creators can benefit from AI as well.
This module is all about common AI-based use cases and their uses. Students will not just learn about the real-world applications of AI and detailed analysis of use cases in different industries, but they will also learn from the detailed demonstration. The module sends case studies of successful applications of LLMs and interactive exercises that the students can practice in real time.
This module is all about the ChatGPT plugin and the ways to make ChatGPT more effective as per requirement. The students will get an overview of the module, an introduction to different ChatGPT plugins available online, and then explore the most popular ChatGPT plugins. The module mainly focuses on the utility of these plugins, so students will get to know more from Real-world Use Cases of ChatGPT Plugins and practice with them.
This module is all about the ethics of the LLMs, their fair use, future trends, capabilities, and limitations. The students will learn about ethical considerations in LLMs, bias, fairness, and privacy. For real-life knowledge, the students will also learn about misinformation, security, the environmental impact of LLMs, future trends, and some practical guidelines. The module also includes some interactive exercises so the students can implement all the techniques right away.
The last module of this course offers a closeout of the Certification. The students will learn about the certification process, take the exam, and get the CPEE professional course evaluation as well.
The Certified Prompt Engineering Expert certification is a comprehensive training program for beginners, students, and professionals looking to know more about AI and develop a promising AI career. The certificate mainly focuses on the real-life uses of AI, from the fundamentals to advanced techniques that can help users make the most out of AI.
For the convenience of the students, the course is divided into ten modules. The first module of this course is just an overview that will help the students know more about the content of the course, the instructor, and the overall working of the AI. The rest of the eight modules are more focused on technical knowledge, the use of AI, prompt beginner techniques, its utility, and some real-life user cases.
The last module of this course offers a wrap-up along with a certification. Each module has an overview, summary, and interactive exercises section so the students can only focus on important things.
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