Prompt Engineering Made Practical - Skills That Work

Packt via Coursera

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Go to class

Provider

Coursera
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Effort

7 weeks, 1 hour a week
Sessions

Self-Paced
Level

Beginner
Subtitles

English

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Overview

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This course teaches prompt engineering for AI applications, covering text, image, and video generation. Learn to create, optimize, and test prompts with real-world examples. Build your skills through case studies and hands-on projects, and develop a professional portfolio to showcase your expertise. In this course, you'll dive deep into the world of prompt engineering for various AI applications, from text to image and video generation. Starting with a strong foundation, the course will guide you through the principles of creating effective prompts, optimizing them for performance, and debugging issues that arise. You will learn practical techniques for working with AI in real-world scenarios, such as researching and fact-checking, automating workflows, and conducting SWOT analyses using AI tools. The course also emphasizes prompt engineering frameworks that guide you in designing and testing high-quality prompts with precision. You'll get a chance to apply these skills to build a professional prompt portfolio and engage in hands-on projects like designing an AI assistant simulation. You'll also gain experience using leading AI platforms, including ChatGPT, OpenClaw, Gemini, and others, learning how to integrate them into your business operations for increased productivity. Ethics, privacy, and governance of AI technologies are key aspects covered in the course, ensuring that you understand the responsible use of AI in your career. By the end of the course, you'll have the skills to apply AI tools confidently in your work, as well as an actionable roadmap for continuing your growth in prompt engineering. This course is ideal for professionals in AI, marketing, content creation, and technology management who are eager to expand their skill set in prompt engineering. No prior experience with AI is required, though a basic understanding of AI tools is beneficial. The course provides a hands-on approach to learning prompt engineering, focusing on creating and optimizing prompts for various AI applications. You’ll explore real-world use cases, debug broken prompts, and design AI assistant simulations. With practical projects and case studies, you’ll build a professional portfolio while mastering techniques to work effectively with generative AI tools. This course is based on Prompt Engineering Made Practical - Skills That Work, by Anton Voroniuk. This course is licensed and distributed by Packt. All rights reserved. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.

Syllabus

Foundations of Prompt Engineering
- This module introduces the fundamentals of prompt engineering, covering its importance in AI interactions and how to craft effective prompts. Learners will gain an understanding of how prompts influence AI outputs and develop the foundational skills needed for practical applications.
Core Prompting Skills and Evaluation Frameworks
- This module explores the fundamentals of crafting effective prompts for AI systems across text, image, and video generation. Learners will gain practical skills in optimizing prompts, debugging issues, and applying best practices to improve AI output quality. It also includes real-world applications for research and fact-checking using AI.
Prompt Engineering Frameworks
- This module equips learners with the skills to design, test, and optimize prompts for generative AI systems. It covers essential frameworks like ReAct and Self-Ask, as well as strategies for building a professional portfolio and simulating AI assistants. Learners will gain practical knowledge to enhance the performance and consistency of AI interactions.
Practical Business Applications of Prompting
- This module explores practical applications of AI tools like ChatGPT in business settings, including managing communication, automating workflows, analyzing texts, and supporting strategic decision-making. Learners will gain hands-on knowledge of how to use AI for efficiency and insight in various business tasks.
Overview of Leading AI Tools and Platforms
- This module provides an in-depth exploration of leading AI tools and platforms, covering their interfaces, personalization features, integration capabilities, and real-world applications. Learners will gain practical knowledge on how to navigate, customize, and utilize these tools to enhance productivity and collaboration. It also includes a comparison of major AI systems to help learners make informed decisions.
AI Ethics, Governance, and Career Acceleration
- This module explores the ethical, legal, and practical dimensions of AI, focusing on responsible use, privacy, compliance, and career opportunities. Learners will gain insights into safeguarding AI systems, verifying outputs, and leveraging AI skills for professional growth.
Course Wrap-Up and Implementation Roadmap
- This module guides learners through the process of transitioning from knowledge to mastery in prompt engineering. It covers strategies for applying learned skills and developing a roadmap for continued improvement. Learners will gain practical tools to enhance their proficiency beyond the course content.