What will I learn in this course?

You'll learn how Generative AI works, how to design prompts, and how to apply models like GPT and BERT.

What are prompting techniques?

Prompting techniques help guide AI models to produce accurate and useful outputs using structured inputs.

Does the course include hands-on labs?

Yes, the course includes demonstrations and a project-based lab for practical experience.

What is prompt engineering?

Prompt engineering is the practice of crafting effective prompts to guide large language models.

Are transformer models covered?

Yes, the course dives into transformers, including attention mechanisms and models like GPT, BERT, and T5.

Is there a certificate after completion?

Yes, you’ll receive a certificate upon completing all modules and the final assessment.

Can I use these skills in real-world projects?

Absolutely. The course includes applied strategies for real use cases like text generation and automation.

Is this course up to date with GenAI trends?

Yes, it includes the latest GenAI models, prompting strategies, and responsible AI practices.

What does Module 1 on Generative AI Essentials cover?

Module 1 covers the foundations of Generative AI, key architectures, popular models, and ethical considerations in GenAI development and deployment.

What does Module 2 on Prompt Engineering Essentials cover?

It covers prompt engineering foundations, techniques like one-shot/few-shot, and methods for optimizing and evaluating prompts for NLP tasks.

What does Module 3 on Advanced Prompt Engineering cover?

<text variant="body1">It explores advanced strategies like chain-of-thought, self-consistency, prompt security, and automation for enhancing AI interactions.

Is this course suitable for beginners?

Yes, this course is designed for beginners, providing a strong foundation in Generative AI and prompt engineering, along with advanced concepts.

What will I get if I subscribe to this Specialization?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Generative AI and Prompt Engineering Essentials

本课程是 Generative AI for Automation 专项课程的一部分

位教师：Edureka

包含在 Coursera Plus 中

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4个模块

深入了解一个主题并学习基础知识。

初级等级

推荐体验

1 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

4个模块

深入了解一个主题并学习基础知识。

初级等级

推荐体验

1 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将学到什么

Master the basics of Generative AI and its industry applications for business transformation.
Learn advanced prompt engineering techniques to enhance AI performance and accuracy.
Understand ethical AI development practices for responsible and trustworthy solutions.
Gain expertise in creating multilingual AI systems for real-world business and enterprise needs.

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要了解的详细信息

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本课程是 Generative AI for Automation 专项课程专项课程的一部分

在注册此课程时，您还会同时注册此专项课程。

向行业专家学习新概念
获得对主题或工具的基础理解
通过实践项目培养工作相关技能
获得可共享的职业证书

该课程共有4个模块

This course offers a clear pathway to understand Generative AI and prompt engineering—two foundational skills for working with modern large language models (LLMs). You'll learn how models like GPT, BERT, and T5 generate human-like outputs, and how well-crafted prompts can guide these models to perform tasks across writing, coding, summarization, and more.

Through hands-on exercises and real-world examples, you’ll build the skills to communicate effectively with AI systems, enhance generation quality, and apply responsible prompting strategies across diverse applications. By the end of this course, you will be able to: - Explain how transformer-based models like GPT, BERT, and T5 work and compare their capabilities - Design prompts for various tasks using zero-shot, one-shot, and few-shot techniques - Apply advanced strategies such as Chain-of-Thought, Tree-of-Thought, and knowledge-grounded prompting - Identify and defend against prompt injection and adversarial threats - Evaluate AI outputs using metrics like BLEU, ROUGE, and human-AI collaboration strategies This course is ideal for developers, data scientists, content creators, and early-career AI practitioners aiming to build effective, safe, and scalable Generative AI solutions. No prior experience with LLMs is required, though a basic understanding of Python and machine learning concepts is helpful. Join us to master the essential techniques behind today’s most powerful AI tools—and shape the future with your prompts.

In this module, you'll explore the foundations of Generative AI, how it works, why it matters, and where it's headed. Learn about key model types like GPT, BERT, and T5, and dive into core techniques such as transformers and attention mechanisms. Through hands-on demos and lifecycle insights, you’ll also discover how to build, evaluate, and responsibly deploy Generative AI systems using modern tools and ethical best practices.

涵盖的内容

15个视频5篇阅读材料4个作业1个讨论话题2个插件

15个视频总计81分钟

Specialization Introduction4分钟
Course Introduction5分钟
The Rise of Generative AI5分钟
Evolution and Key Applications5分钟
Model Types and Capabilities5分钟
Popular Generative Architectures4分钟
Core Concepts in GenAI Modeling5分钟
Transformer Models Deep Dive6分钟
BERT, GPT, and T54分钟
Demonstration: Visualizing Attention in Transformer Model6分钟
LLM Modeling Lifecycle5分钟
Development and Evaluation Lifecycle4分钟
Tools and Platforms for Automation5分钟
Responsible and Ethical GenAI4分钟
Demonstration: Evaluating Text Generation with BLEU and ROUGE7分钟

5篇阅读材料总计90分钟

Course Syllabus10分钟
Generative AI: A Practical Perspective20分钟
Interpretable Generative Models: Making the Black Box Transparent20分钟
Evaluating Generative Models: BLEU and ROUGE in Action20分钟
Summary of Generative AI Essentials20分钟

4个作业总计48分钟

Practice Quiz: Foundations of Generative AI6分钟
Practice Quiz: Core Techniques Behind Generative AI6分钟
Practice Quiz: Building, Deploying, and Governing Generative AI6分钟
Knowledge Check: Generative AI Essentials30分钟

1个讨论话题总计10分钟

Introduce Yourself10分钟

2个插件总计20分钟

Readiness Check: Generative AI 10分钟
From Prompts to Possibilities: Knowledge Check-In10分钟

In this module, you’ll learn the essentials of Prompt Engineering, how to craft, structure, and refine effective prompts for generative AI models. Explore different prompting types like zero-shot, one-shot, and few-shot, and apply them to real-world NLP tasks. With hands-on demonstrations, you’ll discover techniques for prompt tuning, evaluation, and optimization to drive more accurate and creative AI outputs.

涵盖的内容

11个视频4篇阅读材料4个作业1个插件

11个视频总计67分钟

Introduction to Prompt Engineering4分钟
Anatomy of a Prompt5分钟
Prompting Types and Use Cases7分钟
Prompting Techniques Overview4分钟
One-Shot and Few-Shot Prompting7分钟
Understanding Instruction Tuning6分钟
Demonstration: Crafting Zero-Shot, One-Shot, and Few-Shot Prompts6分钟
Prompt Testing and Evaluation5分钟
Prompts for NLP Tasks6分钟
Prompt Variations and Design Strategies5分钟
Demonstration: Designing Creative Prompts for DIverse NLP Tasks5分钟

4篇阅读材料总计75分钟

Developing a Customer Support Chatbot for E-Commerce15分钟
Leveraging One-Shot and Few-Shot Prompting for Market Research and Competitive Analysis20分钟
Improving a Business Intelligence (BI) Dashboard with Prompt Testing and Optimization20分钟
Summary of Prompt Engineering Essentials20分钟

4个作业总计48分钟

Practice Quiz: Foundations of Prompt Engineering6分钟
Practice Quiz: Prompting Techniques in Practice6分钟
Practice Quiz: Optimizing and Evaluating Prompts6分钟
Knowledge Check: Prompt Engineering Essentials30分钟

1个插件总计10分钟

From Instructions to Impact: A Prompting Check-In10分钟

In this module, you’ll master advanced prompt engineering strategies to boost reasoning, accuracy, and safety in Generative AI outputs. Learn powerful techniques like Chain-of-Thought, Tree-of-Thought, and least-to-most prompting, along with methods for contextual and reflective thinking. Explore how to defend against prompt injection, ensure robustness, and automate prompt workflows for secure, scalable AI deployment.

涵盖的内容

12个视频2篇阅读材料4个作业1个插件

12个视频总计66分钟

Real-World Prompting Pitfalls4分钟
Chain-of-Thought Prompting4分钟
Tree-of-Thought Prompting5分钟
Demonstration: Effective Prompt Design Strategies6分钟
Self-Consistency and Contextual Reasoning3分钟
Knowledge-Based Prompting Techniques7分钟
Reflective and Stepwise Thinking Prompts5分钟
Least-to-Most Prompting5分钟
Prompt Security: Adversarial Threats6分钟
Defending Against Prompt Injection4分钟
Prompt Automation and Optimization5分钟
Human-AI Collaboration and Prompt Testing7分钟

2篇阅读材料总计40分钟

Advanced Reading: Tree-of-Thought (ToT) Prompting20分钟
Summary of Advanced Prompt Engineering20分钟

4个作业总计48分钟

Practice Quiz: Advanced Reasoning Strategies with Prompts6分钟
Practice Quiz: Enhancing Prompt Accuracy and Context6分钟
Practice Quiz: Enhancing Prompt Accuracy and Context6分钟
Knowledge Check: Advanced Prompt Engineering30分钟

1个插件总计10分钟

From Reasoning to Robustness: An Advanced Prompting Check-In10分钟

In this module, you’ll consolidate your learning through a course summary, interactive quizzes, and final assessments. Reinforce your understanding of Generative AI and prompt engineering, evaluate your progress, and get ready to apply your skills confidently in real-world AI projects.

涵盖的内容

1个视频2个作业1个讨论话题1个插件

1个视频总计3分钟

Course Summary: Generative AI and Prompt Engineering Essentials3分钟

2个作业总计60分钟

End Course Knowledge Check: Generative AI and Prompt Engineering Essentials30分钟
Designing a Multilingual Virtual Assistant with Gen AI and Prompt Engineering30分钟

1个讨论话题总计10分钟

Describe your Learning Journey10分钟

1个插件总计10分钟

The Case of the Misleading AI Output: Can You Prompt Your Way to the Truth?10分钟

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常见问题

Generative AI refers to models that can create new content like text, images, or code using learned patterns.

This course is ideal for developers, data scientists, and AI enthusiasts looking to master GenAI and prompt design.

Basic Python knowledge is helpful but not mandatory. Demos and labs are guided.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.