Generative AI and Prompt Engineering Essentials

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Generative AI and Prompt Engineering Essentials

This course is part of Generative AI for Automation Specialization

Instructor: Edureka

Included with Coursera Plus

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4 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

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.

Skills you'll gain

Details to know

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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.

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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 prompt2 plugins

15 videosTotal 81 minutes

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

5 readingsTotal 90 minutes

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

4 assignmentsTotal 48 minutes

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

1 discussion promptTotal 10 minutes

Introduce Yourself10 minutes

2 pluginsTotal 20 minutes

Readiness Check: Generative AI 10 minutes
From Prompts to Possibilities: Knowledge Check-In10 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 assignments1 plugin

11 videosTotal 67 minutes

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

4 readingsTotal 75 minutes

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

4 assignmentsTotal 48 minutes

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

1 pluginTotal 10 minutes

From Instructions to Impact: A Prompting Check-In10 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 assignments1 plugin

12 videosTotal 66 minutes

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

2 readingsTotal 40 minutes

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

4 assignmentsTotal 48 minutes

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

1 pluginTotal 10 minutes

From Reasoning to Robustness: An Advanced Prompting Check-In10 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 prompt1 plugin

1 videoTotal 3 minutes

Course Summary: Generative AI and Prompt Engineering Essentials3 minutes

2 assignmentsTotal 60 minutes

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

1 discussion promptTotal 10 minutes

Describe your Learning Journey10 minutes

1 pluginTotal 10 minutes

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

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Instructor

Edureka

80 Courses93,288 learners

Offered by

Edureka

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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.

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.