Dey Academy

    Complete Prompt Engineering Practical Course C|PEPC

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    Prompt Engineering · Online Course

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    The "Complete Prompt Engineering Practical Course C|PEPC" by Dey Academy serves as a comprehensive, hands-on roadmap designed for anyone looking to master the art and science of generative AI communication. In today’s rapidly evolving technological landscape, the ability to construct precise, effective prompts is a highly sought-after skill across various industries. This course bridges the gap between basic interactions and professional-grade AI optimization, guiding learners through the fundamental mechanics of tokenization, parsing, and sentiment analysis. Students will explore a diverse array of industry-leading AI models, including ChatGPT, Midjourney, GitHub Copilot, and Stable Diffusion, discovering the unique strengths and operational parameters of each platform. By engaging with over 100 practical, real-world projects, learners will gain valuable hands-on experience in both text generation and advanced image synthesis. This course is ideal for developers, content creators, digital marketers, and business professionals seeking to automate workflows, boost productivity, and responsibly deploy ethical AI solutions in their daily operations. Additionally, students will delve into advanced methodologies such as chained prompting and context-aware system instructions to significantly refine the quality of AI outputs.

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    Dey Academy
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    Dey Academy, led by tech innovator and educator Debayan Dey, is a premier online learning institute dedicated to demystifying the rapidly evolving fields of artificial intelligence, machine learning, and modern software development. With a steadfast focus on practical, hands-on learning, the academy bridges the gap between complex theoretical computer science concepts and real-world deployment. The teaching style is centered entirely on building tangible projects, guiding students as they develop professional-grade web, mobile, and SaaS applications from scratch. The curriculum is meticulously structured to help learners master the nuances of Prompt Engineering (C|PEPC), construct sophisticated autonomous AI Agents (C|AIPC), and seamlessly…Show more

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    Program Overview

    Online Course

    Learning format

    Prompt Engineering

    Subcategory

    $39.99 (list $9.99)

    Price

    Price may change · updated within 1–2 weeks

    English

    Course language

    What You'll Learn

    • Understand Prompt Engineering: Grasp the basics of tokenization, parsing, and sentiment analysis to create effective AI prompts.
    • Explore Major AI Models: Learn the strengths and weaknesses of ChatGPT, Midjourney, GitHub Copilot, Stable Diffusion, and other key models.
    • Boost Creativity and Productivity: Use AI for creative tasks, brainstorming, automation, and better decision-making.
    • Master Advanced Techniques: Learn advanced prompting methods like chained and context-aware prompting for diverse applications.
    • Adopt Ethical Practices: Implement AI responsibly with a focus on ethical considerations and best practices.
    • Recognize Key Prompting Principles: Understand the "How to effectively use Prompt Engineering" and apply common tips and tricks for professional-grade output.
    • Apply Skills in Real-World Projects: Generate new AI products through 100+ practical projects for both text and image generation.
    • Enhance AI Interaction Skills: Develop techniques to improve the interaction between humans and AI systems for more effective communication.
    • Stay Updated with AI Trends: Keep abreast of the latest advancements in AI technologies and prompt engineering methodologies.

    Best For

    • Content creators and digital marketers looking to improve AI-generated output quality
    • Developers interested in integrating AI models like GitHub Copilot into their coding workflows
    • Business professionals wanting to automate repetitive tasks and boost daily productivity
    • AI enthusiasts who prefer a project-based learning approach with practical examples

    Not For

    • Individuals seeking a deep dive into the mathematical theory or underlying programming of neural networks
    • Data scientists looking for advanced machine learning model training or fine-tuning techniques
    • Those who prefer a short, theoretical overview rather than hands-on, project-heavy instruction

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