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This training module is mainly intended to help developers understand the fundamentals of prompt engineering. One can learn from creating a simple prompt to advanced techniques for more complicated scenarios. This course covers every facet, whether you are working on coding support, natural language processing, or creating intelligent chatbots.
What will you learn? The course begins by exploring how prompts influence ChatGPT’s behaviour and progress to practical strategies, leveraging large language models to build applications effectively, refining outputs through iterative prompts, and integrating prompt engineering into your projects.
Our ChatGPT Prompt Engineering for Developers training covers topics such as how LLMs work, prompt engineering best practices, how LLM APIs can be used in applications for accomplishing different tasks and others.
Learn to create the perfect prompts that get exactly what you want from ChatGPT
Master the AI’s language through hands-on exercises with real-world applications
Build powerful applications using OpenAI’s latest features and APIs
Turn complex ideas into simple, effective prompts that deliver outstanding results
Future-proof your skills with cutting-edge LLM techniques and best practices
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Lessons: Introduction to ChatGPT Integration in JavaScript.
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Module 13: Exploring OpenAI Playground
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Module 14: Understanding Data Privacy
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Module 15: Exploring Chatbot Creation
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Module 16: Advanced Chatbot Creation: OrderBot
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Name of Exam – AgileFever ChatGPT Prompt Engineering for Developers Examination
Exam details are as follows:
ChatGPT Prompt Engineering for Developers is beginner-friendly. A basic understanding of Python is needed. But it is also suitable for advanced machine learning engineers wanting to approach the cutting-edge of prompt engineering and use LLMs.
Happy learners and successful teams, that’s how we measure our impact. Here are just a few of the many who’ve trusted AgileFever.
Your objectives determine the value of the certificate. Employers now place greater value on actual skills and portfolio projects than diplomas, even if they might show your knowledge. The certification itself is not as significant as the information acquired.
For developers, ChatGPT prompt engineering is a skillset, where they create compelling prompts that can maximize ChatGPT’s and other model’s performance. This course teaches how to develop APIs for different apps and maintain context and structure queries.
In the US, the salary ranges between $100,000 and $200,000 a year as of early 2024. However, pay varies depending on company, experience, and region.
It depends on the institute from which you are taking.
Yes, if you wish to improve your productivity or create AI apps. The acquired abilities are becoming more and more useful in tech positions, particularly for developers and artificial intelligence professionals.
The fundamentals are simple, but to learn prompt engineering, one must comprehend technological ideas, language patterns, and AI models. Gaining proficiency requires commitment and practice, just like any other talent.
Indeed. There is an increasing need for prompt engineering abilities as AI models become more complex and popular. It is becoming an increasingly important ability for the creation and use of AI.
AgileFever’s ChatGPT prompt engineering for Developers is considered as best according to our reviews and ratings. Check out the course details above.
Although a background in computer science, programming, or artificial intelligence is advantageous, no formal credentials are needed. Understanding natural language processing and having strong problem-solving abilities are crucial.
Basic coding knowledge is helpful but not always required. However, for developer-focused roles or API integration, programming skills (especially Python) are necessary.