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Generative AI and Prompt Engineering Essentials

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Generative AI and Prompt Engineering Essentials

Instructor: Edureka

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Gain insight into a topic and learn the fundamentals.
4.6

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Beginner level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.6

12 reviews

Beginner level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • 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.

Details to know

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Assessments

14 assignments¹

AI Graded see disclaimer
Taught in English

Build your subject-matter expertise

This course is part of the Generative AI for Automation Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 4 modules in this course

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.

What's included

15 videos5 readings4 assignments1 discussion prompt

15 videos•Total 82 minutes
  • Specialization Introduction•5 minutes
  • Course Introduction•5 minutes
  • The Rise of Generative AI•6 minutes
  • Evolution and Key Applications•5 minutes
  • Model Types and Capabilities•5 minutes
  • Popular Generative Architectures•5 minutes
  • Core Concepts in GenAI Modeling•6 minutes
  • Transformer Models Deep Dive•6 minutes
  • BERT, GPT, and T5•4 minutes
  • Demonstration: Visualizing Attention in Transformer Model•6 minutes
  • LLM Modeling Lifecycle•5 minutes
  • Development and Evaluation Lifecycle•5 minutes
  • Tools and Platforms for Automation•6 minutes
  • Responsible and Ethical GenAI•5 minutes
  • Demonstration: Evaluating Text Generation with BLEU and ROUGE•7 minutes
5 readings•Total 90 minutes
  • Course Syllabus•10 minutes
  • Generative AI: A Practical Perspective•20 minutes
  • Interpretable Generative Models: Making the Black Box Transparent•20 minutes
  • Evaluating Generative Models: BLEU and ROUGE in Action•20 minutes
  • Summary of Generative AI Essentials•20 minutes
4 assignments•Total 48 minutes
  • Knowledge Check: Generative AI Essentials•30 minutes
  • Practice Quiz: Foundations of Generative AI•6 minutes
  • Practice Quiz: Core Techniques Behind Generative AI•6 minutes
  • Practice Quiz: Building, Deploying, and Governing Generative AI•6 minutes
1 discussion prompt•Total 10 minutes
  • Introduce Yourself•10 minutes

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.

What's included

11 videos4 readings4 assignments

11 videos•Total 67 minutes
  • Introduction to Prompt Engineering•4 minutes
  • Anatomy of a Prompt•5 minutes
  • Prompting Types and Use Cases•7 minutes
  • Prompting Techniques Overview•5 minutes
  • One-Shot and Few-Shot Prompting•7 minutes
  • Understanding Instruction Tuning•7 minutes
  • Demonstration: Crafting Zero-Shot, One-Shot, and Few-Shot Prompts•7 minutes
  • Prompt Testing and Evaluation•6 minutes
  • Prompts for NLP Tasks•7 minutes
  • Prompt Variations and Design Strategies•6 minutes
  • Demonstration: Designing Creative Prompts for DIverse NLP Tasks•6 minutes
4 readings•Total 75 minutes
  • Developing a Customer Support Chatbot for E-Commerce•15 minutes
  • Leveraging One-Shot and Few-Shot Prompting for Market Research and Competitive Analysis•20 minutes
  • Improving a Business Intelligence (BI) Dashboard with Prompt Testing and Optimization•20 minutes
  • Summary of Prompt Engineering Essentials•20 minutes
4 assignments•Total 48 minutes
  • Knowledge Check: Prompt Engineering Essentials•30 minutes
  • Practice Quiz: Foundations of Prompt Engineering•6 minutes
  • Practice Quiz: Prompting Techniques in Practice•6 minutes
  • Practice Quiz: Optimizing and Evaluating Prompts•6 minutes

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.

What's included

12 videos2 readings4 assignments

12 videos•Total 66 minutes
  • Real-World Prompting Pitfalls•4 minutes
  • Chain-of-Thought Prompting•4 minutes
  • Tree-of-Thought Prompting•5 minutes
  • Demonstration: Effective Prompt Design Strategies•7 minutes
  • Self-Consistency and Contextual Reasoning•4 minutes
  • Knowledge-Based Prompting Techniques•7 minutes
  • Reflective and Stepwise Thinking Prompts•5 minutes
  • Least-to-Most Prompting•6 minutes
  • Prompt Security: Adversarial Threats•6 minutes
  • Defending Against Prompt Injection•4 minutes
  • Prompt Automation and Optimization•6 minutes
  • Human-AI Collaboration and Prompt Testing•7 minutes
2 readings•Total 40 minutes
  • Advanced Reading: Tree-of-Thought (ToT) Prompting•20 minutes
  • Summary of Advanced Prompt Engineering•20 minutes
4 assignments•Total 48 minutes
  • Knowledge Check: Advanced Prompt Engineering•30 minutes
  • Practice Quiz: Advanced Reasoning Strategies with Prompts•6 minutes
  • Practice Quiz: Enhancing Prompt Accuracy and Context•6 minutes
  • Practice Quiz: Enhancing Prompt Accuracy and Context•6 minutes

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.

What's included

1 video2 assignments1 discussion prompt

1 video•Total 3 minutes
  • Course Summary: Generative AI and Prompt Engineering Essentials•3 minutes
2 assignments•Total 60 minutes
  • End Course Knowledge Check: Generative AI and Prompt Engineering Essentials•30 minutes
  • Designing a Multilingual Virtual Assistant with Gen AI and Prompt Engineering•30 minutes
1 discussion prompt•Total 10 minutes
  • Describe your Learning Journey•10 minutes

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Instructor

Edureka
203 Courses•185,724 learners

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Frequently asked questions

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.

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

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

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

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

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

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

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

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

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

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

It explores advanced strategies like chain-of-thought, self-consistency, prompt security, and automation for enhancing AI interactions.

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

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.

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.

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.

Financial aid available,

¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.