Home AI and Data Science ChatGPT Prompt Engineering for Developers Training

ChatGPT Prompt Engineering for Developers Training

28 Enrolled 4.9/5 4.6/5 4.5/5

In this ChatGPT Prompt Engineering for Developers course, you will learn from the basic to the best practices of prompt engineering, which enables you to use ChatGPT and other powerful language models to address practical issues. One can learn the in-depth subject of Large Language Models (LLMs) and understand how to use the OpenAI API to quickly develop your applications. Enrol now!

  • 24 hours of live, online instructor-led training
  • Gain insights into how ChatGPT processes prompts, so you can predict its responses with accuracy.
  • Expertise in the techniques for designing prompts that yield clear, useful and actionable results.
  • Get hands-on practice writing and iterating on prompts using the OpenAI playground and various model architectures
  • Use proven engineering techniques to convert complex prompts into practical applications.
View Schedule Download Brochure

Get Free Consultation

    50+

    Countries worldwide

    100+

    Expert Trainers

    10k+

    Professionals Trained

    4.7

    Overall Rating

    Course Overview

    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.

    Key Highlights

    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

    ChatGPT Prompt Engineering for Developers Training Course Content

    Download Syllabus
    Module 1 Introduction to Large Language Models

    Lessons:

    • Overview of Large Language Models.
    • Introduction to the OpenAI API.
    • Understanding the Significance of Large Language Models in AI.

    Lab:

    • Hands-on session: Exploring various Large Language Models.
    • Interactive exercises: Working with the OpenAI API.

    After completing this module, students will be able to:

    • Understand the basic concepts of Large Language Models.
    • Gain insights into the architecture and functionalities of various models.
    Module 2 Guidelines for Prompting

    Lessons:

    • Introduction to Guidelines for Prompting.
    • Exploring the Principles of Writing Clear and Specific Instructions.
    • Understanding Model Limitations: Hallucinations.

    Lab:

    • Hands-on workshop: Working with effective prompting.
    • Interactive exercises: Identifying and mitigating model limitations.

    After completing this module, students will be able to:

    • Understand the concept and application of effective prompting.
    • Gain hands-on experience with writing clear and specific instructions.
    Module 3 Iterative Prompt Development

    Lessons:

    • Introduction to Iterative Prompt Development.
    • Handling Issues: Text Length, Focus Details, and Table of Dimensions.

    Lab:

    • Hands-on workshop: Developing and refining prompts iteratively.
    • Interactive exercises: Addressing issues in prompt development.

    After completing this module, students will be able to:

    • Understand and apply iterative prompt development techniques.
    • Efficiently handle and resolve issues in prompt development.
    Module 4 Summarizing Techniques

    Lessons:

    • Techniques for Effective Text Summarization.
    • Summarization with a Focus on Specific Aspects.

    Lab:

    • Hands-on session: Practicing summarization techniques.
    • Interactive exercises: Focusing summarization on specific aspects.

    After completing this module, students will be able to:

    • Master various text summarization techniques.
    • Effectively summarize text with a focus on specific aspects.
    Module 5 Inferring Topics

    Lessons:

    • Introduction to Topic Inferring.
    • Creating News Alerts for Specific Topics.

    Lab:

    • Hands-on workshop: Working with topic inferring.
    • Interactive exercises: Creating and customizing news alerts.

    After completing this module, students will be able to:

    • Understand and apply topic-inferring techniques.
    • Create customized news alerts for specific topics.
    Module 6 Text Transformation

    Lessons:

    • Exploring Various Text Transformation Techniques.
    • Deep Dive into Translation, Tone Transformation, and Format Conversion.

    Lab:

    • Hands-on session: Practicing text transformation techniques.
    • Interactive exercises: Working with translation, tone transformation, and format conversion.

    After completing this module, students will be able to:

    • Master various text transformation techniques.
    • Efficiently translate, transform tone, and convert formats of texts.
    Module 7 Expanding Text

    Lessons:

    • Techniques for Effective Text Expansion.
    • Customizing Automated Replies to Customer Emails.

    Lab:

    • Hands-on session: Practicing text expansion techniques.
    • Interactive exercises: Customizing automated email replies.

    After completing this module, students will be able to:

    • Master various text expansion techniques.
    • Customize automated replies effectively.
    Module 8 Exploring OpenAI Embeddings

    Lessons:

    • Introduction to OpenAI Embeddings.
    • Understanding the Applications and Use Cases of OpenAI Embeddings.

    Lab:

    • Hands-on session: Working with OpenAI Embeddings.
    • Interactive exercises: Experimenting with various embedding techniques.

    After completing this module, students will be able to:

    • Understand the concept and application of OpenAI Embeddings.
    • Gain hands-on experience with OpenAI Embeddings.
    Module 9 Function Calling in ChatGPT

    Lessons:

    • Overview of Function Calling in ChatGPT.
    • Practical Applications of Function Calling.

    Lab:

    • Hands-on session: Exploring function calling in ChatGPT.
    • Interactive exercises: Implementing function calling in tasks.

    After completing this module, students will be able to:

    • Understand the concept of function calling in ChatGPT.
    • Apply function calling effectively in various tasks.
    Module 10 Exploring Custom Instructions in ChatGPT

    Lessons:

    • Introduction to Custom Instructions in ChatGPT.
    • Utilizing Custom Instructions for Task Enhancement.

    Lab:

    • Hands-on workshop: Working with custom instructions in ChatGPT.
    • Interactive exercises: Enhancing tasks using custom instructions.

    After completing this module, students will be able to:

    • Understand the use of custom instructions in ChatGPT.
    • Effectively utilize custom instructions for various tasks.
    Module 11 Fine-Tuning in ChatGPT

    Lessons:

    • Overview of Fine-Tuning in ChatGPT.
    • Techniques for Effective Fine-Tuning.

    Lab:

    • Hands-on session: Practicing fine-tuning techniques in ChatGPT.
    • Interactive exercises: Enhancing model performance through fine-tuning.

    After completing this module, students will be able to:

    • Understand the concept of fine-tuning in ChatGPT.
    • Apply effective fine-tuning techniques for optimal model performance.
    Module 12 Exploring ChatGPT with JavaScript

    Lessons: Introduction to ChatGPT Integration in JavaScript.

    • Working with ChatGPT: Sending Requests and Handling Responses in JavaScript.
    • Best Practices for ChatGPT Integration in JavaScript.

    Lab:

    • Hands-on session: Setting up and integrating ChatGPT in a JavaScript environment.
    • Interactive exercises: Crafting and sending requests to ChatGPT and handling the responses effectively in JavaScript.

    After completing this module, students will be able to:

    • Successfully integrate ChatGPT into web projects using JavaScript.
    • Understand the intricacies of working with ChatGPT in a JavaScript environment.
    • Apply best practices for efficient and effective ChatGPT integration in JavaScript projects.
    Module 13 Module 13 and Module 14

    Module 13: Exploring OpenAI Playground

    Lessons:

    • Overview of the OpenAI Playground.
    • Benefits and Features of Using the OpenAI Playground.

    Lab:

    • Hands-on session: Navigating the OpenAI Playground.
    • Interactive exercises: Working with features of the OpenAI Playground.

    After completing this module, students will be able to:

    • Understand the OpenAI Playground and its functionalities.
    • Effectively use the OpenAI Playground for various tasks.

    Module 14: Understanding Data Privacy

    Lessons:

    • Overview of Data Privacy Concerns in Language Models.
    • Best Practices for Ensuring Data Privacy.

    Lab:

    • Interactive session: Discussing real-world scenarios and solutions for data privacy.
    • Hands-on exercises: Implementing data privacy best practices.

    After completing this module, students will be able to:

    • Understand the importance of data privacy.
    • Implement best practices for ensuring data privacy in their projects.
    Module 14 Module 15 and Module 16

    Module 15: Exploring Chatbot Creation

    Lessons:

    • Overview of Chatbot Creation.
    • Steps and Best Practices in Creating a Chatbot with ChatGPT.

    Lab:

    • Hands-on session: Building a basic chatbot using ChatGPT.
    • Interactive exercises: Experimenting with chatbot features and functionalities.

    After completing this module, students will be able to:

    • Understand the process of chatbot creation.
    • Build a basic chatbot using ChatGPT.

    Module 16: Advanced Chatbot Creation: OrderBot

    Lessons:

    • Understanding Advanced Features of Chatbots.
    • Detailed Steps in Creating OrderBot.

    Lab:

    • Hands-on workshop: Creating OrderBot with advanced features.
    • Interactive exercises: Working with OrderBot and understanding its advanced functionalities.

    After completing this module, students will be able to:

    • Understand advanced features of chatbots.
    • Create and work with an advanced OrderBot.
    Module 15 Conclusion and Future Exploration

    Lessons:

    • Summary of Key Learnings from the Course.
    • Discussion on Future Explorations in ChatGPT and Prompt Engineering.

    Lab:

    • Interactive session: Review and reflection on the course learnings.
    • Group discussions: Sharing insights and future aspirations in the field.

    After completing this module, students will be able to:

    • Summarize the key learnings from the course.
    • Discuss potential future explorations in ChatGPT and prompt engineering.

    Schedules for ChatGPT Prompt Engineering for Developers Training

    Enquiry for Corporate Training

      I consent to AgileFever representative contacting me.

      Talk to a Learning Advisor

      To fast-track your career and achieve

      Can't find Convenient Schedule?

      Pay Monthly EMI, as low as

      $33/month
      We have partnered with the following financing companies to provide competitive finance options at as low as 0% interest rates with no hidden cost.
      payment

      ChatGPT Prompt Engineering for Developers Training Exam Details

      Exam Details

      Name of Exam – AgileFever ChatGPT Prompt Engineering for Developers Examination

      Exam details are as follows:

      • Practical Exams, Lab Assessments, and Projects at the end of every completed module.
      • Capstone Project at the end of the 24-hour training.
      Prerequisites

      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.

      ChatGPT-Prompt-Engineering-for-Developers-Training-certificate
      img

      ChatGPT Prompt Engineering for Developers Training is ideal for

      • Software Developers & Engineers
      • Business Technology Leaders
      • AI/ML Practitioners
      • Content and Creative Professionals with Technical Background
      • Technical Professionals
      Enquire Now

      Companies that trust Us

      Happy learners and successful teams, that’s how we measure our impact. Here are just a few of the many who’ve trusted AgileFever.

      accenture-logo
      adobe-logo
      amazon-logo
      boa-logo
      dell-logo
      disney-logo
      exonmobil-logo
      google-logo
      ibm-logo
      meta-logo
      microsoft-logo
      rackspace-logo
      tesla-logo
      twilio-logo

      Benefits That Set You Apart

      exp-trainers
      exp-trainers
      exp-trainers
      exp-trainers
      exp-trainers
      exp-trainers
      exp-trainers
      exp-trainers

      Steps to Getting Certified

      1 Step
      2 Step
      3 Step
      4 Step

      Journeys that keep Inspiring ✨ everyone at AglieFever

      I was looking for a structured way to learn prompt engineering, and Agilefever delivered! The course was clear, practical, and well-paced. I now understand how to write better prompts to get accurate and efficient results from ChatGPT. The certification has boosted my credibility, and I’m already using these skills in my development work. Great experience overall!

      y-man-pic
      Rohan Mehta

      Full Stack Developer

      This training was exactly what I needed to improve my skills in AI-driven development. Agilefever made complex topics easy to understand, and the real-world examples helped me apply prompt engineering techniques to my projects. The certification adds great value to my resume, and I’ve already started implementing what I learned. A must for developers working with AI!

      lady-pic
      Amanda

      AI Product Manager

      This training was a game-changer for me! The course was well-structured, practical, and easy to follow. I learned how to craft effective prompts, optimize responses, and integrate AI into my projects. The hands-on exercises were super helpful. Now, with my certification, I feel confident using AI tools efficiently. Highly recommended!

      lady-pic
      Maria

      Software Engineer

      Frequently Asked Questions

      1. Is a ChatGPT prompt engineering for developers certificate worth it?

      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.

      2. What is ChatGPT prompt engineering for developers?

      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.

      3. What is the salary of a prompt engineer in ChatGPT?

      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.

      4. What is the cost of prompt engineering certification?

      It depends on the institute from which you are taking.

      5. Is the ChatGPT prompt engineering course will help my career to levelup?

      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.

      6. Is prompt engineering easy?

      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.

      7. Does prompt engineering have a future?

      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.

      8. Which institute is best for prompt engineering?

      AgileFever’s ChatGPT prompt engineering for Developers is considered as best according to our reviews and ratings. Check out the course details above.

      9. What is the qualification for prompt engineering?

      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.

      10. How to become a ChatGPT prompt engineer?
      1. Learn AI/ML fundamentals
      2. Study natural language processing
      3. Practice with ChatGPT and other LLMs
      4. Take relevant courses
      5. Build a portfolio of projects
      6. Stay updated with AI developments
      11. Is coding required for prompt engineering?

      Basic coding knowledge is helpful but not always required. However, for developer-focused roles or API integration, programming skills (especially Python) are necessary.

      Ready to unlock your full potential as a Scrum Master?

      Talk to Advisor