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Prompt Engineering Mastery · LearnSpace
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Prompt Engineering Mastery

Курс от AI CERTs
Начальный≈ 19.8 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Prompt Engineering Mastery is designed for learners who want to use AI tools effectively for tasks like content creation, automation, and decision-making. This AI Prompt Engineer course focuses on building practical skills to design, test, and refine prompts across modern AI systems. You’ll understand how prompts influence outputs, how to improve accuracy and consistency, and how to troubleshoot responses. Through guided exercises and applied scenarios, you’ll develop hands-on prompt design skills and learn prompt engineering through practical, everyday tasks. You’ll also gain experience working with tools like GPT-4, DALL·E, and LangChain through structured, practical learning. The course also covers responsible AI use, including privacy, safety, and ethical prompting practices. By the end, you will be able to create effective prompts for research, automation, and creative work while building strong, job-ready capabilities relevant to an AI Prompt Engineer role. Build job-ready prompt engineering skills that you can apply immediately across real-world scenarios. Enroll in this prompt engineering course to become job-ready and confidently apply prompt engineering skills in real scenarios.

Навыки, которые вы освоите

Artificial IntelligenceComputer Programming ToolsPrompt PatternsDebuggingAI WorkflowsAutomationAI powered creativityProductivityData EthicsPrompt Engineering ToolsAI PersonalizationVibe codingIdeationCode ReviewGenerative AI AgentsProblem Solving

Программа курса

7 модулей · 121 учебных материалов

01Module 1: Foundations of AI and Prompt Engineering15 материалов
Navigation VideoВидеоCourse IntroductionВидеоEbook: Module 1: Foundations of AI and Prompt EngineeringЧтениеAudiobook: Module 1: Foundations of AI and Prompt EngineeringВидео

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Преподаватель курса

Prompt Engineering Mastery
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Обучение на Coursera

≈ 19.8 ч

7 модулей

Язык: Английский

Субтитры: Арабский, Французский, Итальянский, Бразильский португальский, Корейский, Испанский, Японский

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Podcast: Module 1: Foundations of AI and Prompt EngineeringВидео
1.1 Brief History and Evolution of AIВидео
1.2 AI’s Impact on Various IndustriesВидео
1.3 Key Milestones and Evolution of AI TechniquesВидео
1.4 Machine Learning: Supervised & UnsupervisedВидео
1.4.1 Core Components of a Machine Learning ModelВидео
1.5 Basics of Deep Learning and Introduction to Neural NetworksВидео
1.6 Overview of NLP and AI NLP ApplicationsВидео
1.7 Definition and Principles of Prompt EngineeringВидео
Activity: HotspotPLUGIN
Quiz 1Задание
02Module 2: Principles of Effective Prompting14 материалов
Ebook: Module 2: Principles of Effective PromptingЧтениеAudiobook: Module 2: Principles of Effective PromptingВидеоPodcast: Module 2: Principles of Effective PromptingВидео2.1 Prompting Importance: Enhancing with Well-Crafted PromptsВидео2.2 Clear and Concise Prompts: The Role of SpecificityВидео2.3 Impact of AI Response Formats on UtilityВидео2.4 Context Setting: Clarifying Tasks and OutcomesВидео2.4.1 Advanced Prompting FrameworksВидео2.5 Assessing AI Responses: Common Output IssuesВидео2.6 Breaking Down Tasks: Sequential Structuring in AI PromptingВидео2.7 Principles Overview: Applications & ToolsВидео2.8 Identifying Prompt Failures and Hands on ActivityВидеоActivity: AccordionPLUGINQuiz 2Задание
03Module 3: Introduction to AI Tools and Models21 материалов
Ebook: Module 3: Introduction to AI Tools and ModelsЧтениеAudiobook: Module 3: Introduction to AI Tools and ModelsВидеоPodcast: Module 3: Introduction to AI Tools and ModelsВидео3.1 Comparing Generative AI and Traditional ModelsВидео3.1.1 Evolution of AI Models (2018 → 2025)Видео3.2 ChatGPT: Architecture, Capabilities, and ApplicationsВидео3.3 Advancements and Practical Applications of GPT-4Видео3.3.1 Evolution, Architecture, and Capabilities of GPT-5Видео3.4 DALL-E 2: Introduction and Creative ApplicationsВидео3.4.1 Evolution to DALL-E 3Видео3.5 Claude-Instant-100k vs. DALL-E 3: A ComparisonВидео3.5.1 Key Emerging Models: Claude and GeminiВидео3.5.2 Open-Source Leaders: Mistral, LLaMA, Mixtral and RAG WorkflowsВидеоVideo: 3.6 Stable Diffusion XL and Llama-2-70b-Groq: Overview and ApplicationsВидео3.7 Claude-2-100k, Mistral-Medium, and Gemini-Pro: Features and StrategyВидео3.8 Google-PaLM and Integrating Google ModelsВидео3.9 AI Models: Strengths, Weaknesses, and Selection CriteriaВидео3.10 Designing Use Cases and Tailoring Selection to NeedsВидео3.11 Synthesis of Key InsightsВидеоActivity: Problem StatementPLUGINQuiz 3Задание
04Module 4: Mastering Prompt Engineering Techniques16 материалов
Ebook: Module 4: Mastering Prompt Engineering TechniquesЧтениеAudiobook: Module 4: Mastering Prompt Engineering TechniquesВидеоPodcast: Module 4: Mastering Prompt Engineering TechniquesВидео4.1 Zero-Shot Learning and Designing Effective PromptsВидео4.2 Enhancing AI Understanding with Few-Shot PromptsВидео4.3 Thinking Aloud and Chain-of-Thought PromptsВидео4.4 Promoting Internal Consistency and Self-CheckingВидео4.5 Fostering Creativity through Innovative Prompt CraftingВидео4.6 Sequential Prompting and Applications of Prompt ChainsВидео4.7 Creative AI: Unlocking Multipath Solutions and Diverse ResponseВидео4.8 Augmenting AI with External Data for Better QualityВидео4.9 Graphical Data in AI Prompting and Insight GenerationВидео4.10 Practical Exercises and Cross-Industry Use CasesВидео4.11 Optional Exercises and Challenging ProjectsВидеоActivity: CarousalPLUGINQuiz 4Задание
05Module 5: Mastering Image Model Techniques19 материалов
Ebook: Module 5: Mastering Image Model TechniquesЧтениеAudiobook: Module 5: Mastering Image Model TechniquesВидеоPodcast: Module 5: Mastering Image Model TechniquesВидео5.1 Overview and Distinction of Generative Image ModelsВидео5.1.1 Emerging Image Models (Stable Diffusion XL, Midjourney V6, Adobe Firefly 2 and DALL·E 3)Видео5.2 Principles of Visual Content GenerationВидео5.3 Enhancing Image Quality with Practical InsightsВидео5.4 Mastering Prompt Dynamics in Image GenerationВидео5.5 Power of Weighted Terms in AI Image GenerationВидео5.6 Mastering Prompt Adjustments for AI CreativityВидео5.7 Prompt Rewriting in AI Image Generation: Case StudiesВидео5.8 Mastering Inpainting and Outpainting TechniqueВидео5.9 Realistic Image Creation: Techniques for Lifelike CharactersВидео5.10 Ensuring Consistency Across CharactersВидео5.11 Realistic Methods for Consistent Character ModelsВидео5.12 Real-World Applications and Opportunities of Image ModelsВидео5.13 Ethical and Legal Dimensions of AI-Generated ImagesВидеоActivity: SequencePLUGINQuiz 5Задание
06Module 6: Project-Based Learning Session16 материалов
Ebook: Module 6: Project-Based Learning SessionЧтениеAudiobook: Module 6: Project-Based Learning SessionВидеоPodcast: Module 6: Project-Based Learning SessionВидео6.1 Project-Based Learning: Transforming AI EducationВидео6.2 Choosing Relevant ThemesВидео6.3 Theme Examples in AI ApplicationsВидео6.4 Project Structuring: Scope, Timeline, and ResourcesВидео6.5 Refinement of AI Strategies and Practical ApplicationsВидео6.6 Unified Models: Integration Case StudiesВидео6.7 Iterative Assessment for Project OutcomeВидео6.8 Enhancing Presentations Through Feedback InsightsВидео6.9 Walkthrough of a Guided ProjectВидео6.10 Encouragement for Independent ProjectsВидео6.11 Sample Projects and Evaluation FrameworkВидеоActivity: Flip cardPLUGINQuiz 6Задание
07Module 7: Ethical Considerations and the Future of AI20 материалов
Ebook: Module 7: Ethical Considerations and the Future of AIЧтениеAudiobook: Module 7: Ethical Considerations and the Future of AIВидеоPodcast: Module 7: Ethical Considerations and the Future of AIВидео7.1 Ethics in AI and Prompt EngineeringВидео7.2 Understanding AI BiasВидео7.2.1 Case Studies and Practical Exercises on Bias MitigationВидео7.3 AI and Privacy: Ensuring Data SecurityВидео7.4 Need for Transparency and Enhancing AccountabilityВидео7.5 AI and the Environment: Driving SustainabilityВидео7.6 Emerging AI Trends: The Evolving Role of Prompt EngineeringВидео7.6.1 Applied Ethical Exercises for LearnersВидео7.7 Applying Ethical Principles: Exploring ImplicationsВидео7.8 AI Regulations and Implications for PractitionersВидео7.8.1 Global AI Governance and the EU AI ActВидео7.9 Ethical Frameworks and PracticesВидео7.9.1 Global Ethical Frameworks (UNESCO, OECD, IEEE)Видео7.10 Future of AI Governance and Responsible InnovationВидеоCourse SummaryВидеоActivity: Case studyPLUGINQuiz 7Задание