ChatGPT Prompt Engineering for Developers Training

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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: 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 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.

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.