ChatGPT Prompt Engineering course
Course Overview
The ChatGPT Prompt Engineering course by CourseDeal is designed to help learners harness the full potential of AI-powered language models like ChatGPT. You’ll learn to craft precise, effective, and context-aware prompts that enable AI models to generate accurate, creative, and relevant outputs. The course covers prompt design principles, context management, and advanced strategies for improving AI responses in tasks such as content generation, summarization, coding assistance, and business automation. Learners will gain hands-on experience with real-world applications, understanding how to fine-tune prompts for different industries and use cases. By the end of this course, participants will be able to leverage ChatGPT effectively, optimize interactions, and implement AI-driven solutions in professional and creative workflows.
Key Highlights
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Master prompt engineering techniques for ChatGPT and other LLMs
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Hands-on practice with real-world AI-driven tasks
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Learn advanced strategies for context management and output optimization
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Apply prompt engineering in business, content, coding, and research
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Build expertise to implement AI solutions efficiently and effectively
Tools & Technologies Covered
- ChatGPT
- OpenAI API
- Python
- Jupyter Notebook
- Prompt Templates
- LangChain
- AI Content Generation Tools
- Automation Platforms
Curriculum
- 6 Sections
- 0 Lessons
- 14 Hours
- Module 1: Introduction to ChatGPT and Prompt EngineeringThis module introduces ChatGPT, large language models (LLMs), and the concept of prompt engineering. You’ll understand how AI models interpret input prompts and generate responses. Topics include model capabilities, limitations, ethical considerations, and real-world applications. Hands-on exercises allow learners to experiment with simple prompts, analyze outputs, and understand how prompt structure influences AI-generated content. By the end of this module, learners will have a foundational understanding of AI-driven text generation.0
- Module 2: Basics of Effective Prompt Design In this module, learners will explore techniques toIn this module, learners will explore techniques to craft clear, specific, and actionable prompts. You’ll learn about prompt clarity, context inclusion, role specification, and step-by-step instruction methods to improve AI output. Practical exercises involve creating prompts for content creation, summarization, Q&A, and coding tasks. By mastering basic prompt engineering techniques, learners can reliably guide AI models to deliver more accurate and useful results.0
- Module 3: Advanced Prompt Engineering TechniquesThis module dives into advanced strategies such as chaining prompts, zero-shot and few-shot learning, and dynamic context adaptation. You’ll learn how to design multi-step prompts, iterative refinement, and prompt templates to handle complex tasks efficiently. Hands-on projects include generating technical documentation, creative content, and problem-solving workflows. Learners develop skills to optimize AI interactions for maximum efficiency and accuracy.0
- Module 4: Domain-Specific ApplicationsHere, learners will apply prompt engineering techniques to industry-specific tasks, including business analytics, marketing, content writing, coding assistance, and research. You’ll learn how to tailor prompts to achieve high-quality results in professional contexts. Practical exercises involve designing prompts for generating reports, summarizing documents, creating creative content, and automating repetitive tasks. This module emphasizes the value of domain expertise in prompt engineering for professional use cases.0
- Module 5: Testing, Optimization, and Troubleshooting PromptsThis module focuses on evaluating AI responses, identifying errors, and refining prompts to improve output quality. You’ll learn strategies for prompt iteration, troubleshooting ambiguous responses, and optimizing AI efficiency. Hands-on exercises include testing prompts across multiple scenarios, analyzing output consistency, and implementing adjustments for improved performance. By completing this module, learners can ensure reliable and high-quality AI-generated results in real-world applications.0
- Module 6: Capstone Project in Prompt EngineeringIn the final module, learners will undertake a comprehensive capstone project applying all learned techniques. You’ll design, optimize, and implement prompts for a complex real-world task, such as automating business processes, generating multi-format content, or creating AI-driven research tools. The project emphasizes end-to-end workflow, including planning, execution, evaluation, and refinement of prompts. By completing this project, learners will have practical, portfolio-ready experience demonstrating proficiency in ChatGPT prompt engineering.0
Pass Percentage
