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

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Generative AI and Prompt Engineering Essentials

This course is part of Generative AI for Automation Specialization

Instructor: Edureka

1,781 already enrolled

Included with

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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

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

14 assignments¹

AI Graded see disclaimer

Taught in English

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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.

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

160 Courses 149,928 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.