Free Prompt Engineering Course with Certificate

Prompt Engineering for ChatGPT

Updated with GenAI for 2026
star 4.58  Beginner level 3.0 learning hrs 217.3K+ Learners

Learn LLM training, GPT architecture, tokenization, model deployment, prompt engineering, and ChatGPT 4.5, o1, and o3-mini use cases. Enroll in this Free Prompt Engineering Course to write better prompts and improve AI outputs.

Instructor:

Vishnu Subramanian

Key Highlights

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About this course

This Prompt Engineering for ChatGPT course equips you with the essential skills to understand how Large Language Models are trained, how they generate responses, and how prompts influence AI output quality. You’ll learn LLM training and inference, OpenAI’s model evolution, GPT architecture, tokenization, model deployment, token usage, and the role of tokens in performance and interaction. The course also covers how Generative AI solutions are operationalized in real-world environments through deployment, monitoring, scalability, and business use cases.


You’ll also learn the fundamentals of prompt engineering, including how to create effective prompts that produce clearer, more accurate, and more useful responses. Through sample prompt executions in ChatGPT 4.5, o1, and o3-mini, you’ll compare model outputs and understand when to use each model more effectively. By the end of this AI prompt course, you’ll be able to write better prompts, evaluate AI responses, understand model behavior, and apply Generative AI more confidently across workplace, content, research, and productivity tasks.




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Course outline

LLM Training and Inference

In this module, we will learn how Large Language Models are trained using vast datasets and how they generate responses through the inference process.

Open AI Journey and GPT Training

In this module, we will explore the evolution of OpenAI models, understand the development of GPT architectures, and learn the fundamentals of how these models are trained.

The Significance of LLM Tokenization

In this module, we will understand tokenization, how text is converted into tokens, and why tokenization is essential for processing and generating language effectively.

Model Deployment and Token

In this module, we will learn the basics of deploying language models, understand token usage, and explore their role in model interaction and performance.

Operationalizing Generative AI

In this module, we will explore how Generative AI solutions are implemented in real-world environments, focusing on deployment, monitoring, scalability, and business applications.

Introduction to Prompt engineering

In this module, we will explore the fundamentals of Prompt Engineering, understand the characteristics of effective prompts, and learn how prompts influence AI-generated outputs.

Introduction to ChatGPT 4.5, o1 and o3-mini

In this module, you will learn about the features and functionalities of ChatGPT 4.5, o1, and o3-mini, including their key improvements.

Sample Prompts Execution in ChatGPT 4.5, o1 and o3-mini

In this module, you will learn how to execute sample prompts, exploring varied outcomes across ChatGPT 4.5, o1, and o3-mini for optimal usage.

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Get access to the complete curriculum once you enroll in the course

This course is ideal for
  • AI enthusiasts exploring prompt optimization.
  • Content creators wanting to generate precise outputs.
  • Marketing professionals seeking reliable AI content.
  • Developers looking to optimize LLM interactions.

Prompt Engineering for ChatGPT

rating icon 4.58

3.0 Hours

Beginner

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217.3K+ learners enrolled so far

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Learner reviews of the Free Courses

4.58
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21%
5%
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Reviewer Profile

5.0

Country Flag India
“Reflection on the Learning Experience with Generative AI”
Easy to Follow: The material was presented in a clear and structured manner, making it simple to understand even complex topics related to Generative AI. The pace and clarity of the explanations ensured that I could grasp the key concepts without feeling overwhelmed. Topic Depth: The depth of the topics covered allowed me to gain a comprehensive understanding of Generative AI, including its applications, limitations, and strategies like prompt engineering. This in-depth exploration helped me appreciate the complexity and potential of AI technologies.
Reviewer Profile

5.0

“A Practical, No-Nonsense Course: Highly Recommended”
I like the way you guys teach in India. I have loved the style of each and every teacher from Great Learning. This course was easy to follow, relevant to the core, applicable, and fun to watch. I finally learned what the GPT interface should look like and appreciated that other AIs were mentioned. This makes the concepts learned more broadly available to be applied regardless of the AI. I am very, very happy having paid for the certificate (I got 9 out of ten marks and now I am crazy trying to figure out which question was wrong.) Maybe I should have generated this feedback using AI but no...
Reviewer Profile

5.0

Country Flag India
“The Online ChatGPT Course: Engaging and Informative”
The online ChatGPT course was incredibly engaging and informative. It provided a comprehensive overview of AI and natural language processing, with hands-on exercises and real-world examples. The instructors were knowledgeable and supportive, and the community forums were a great resource for peer learning. Overall, it significantly enhanced my understanding and skills in AI and NLP.
Reviewer Profile

5.0

Country Flag India
“Amazing Certificate Course: Easy to Understand”
The course content was comprehensive and well-structured, covering essential aspects of generative AI. It provided a good mix of theoretical knowledge and practical examples, making complex topics more accessible. The instructor was knowledgeable and communicated concepts clearly. Their teaching style was engaging, with a balance of lecture and interactive sessions that maintained interest throughout the course.
Reviewer Profile

4.0

“Good Introduction to Prompt Engineering”
The course offers a comprehensive and engaging exploration into the world of AI prompt engineering, making it an invaluable resource for both beginners and those with some prior knowledge. They are adept at breaking down complex ideas into digestible segments, making the content accessible and engaging. Overall, this course is an excellent starting point for anyone looking to delve into AI prompt engineering. It equips learners with the necessary skills and knowledge to harness the power of AI effectively, paving the way for further exploration and innovation in the field.
Reviewer Profile

4.0

Country Flag India
“Awesome Course, I Have Enjoyed It Very Well”
Excellent course! ChatGPT's capabilities and limitations were clearly explained. Hands-on exercises helped solidify concepts. Improved my prompt engineering skills and understanding of fine-tuning models. Well-structured and informative. Suggestions: add more advanced topics, real-world applications, and interactive discussions. Overall, 9/10. Highly recommend for AI enthusiasts and professionals.
Reviewer Profile

5.0

Country Flag India
“Gained Knowledge About Prompt Engineering”
This course provided a comprehensive understanding of prompt engineering, focusing on practical applications and techniques to optimize interactions with ChatGPT. The clear examples and hands-on exercises allowed me to grasp the importance of crafting effective prompts. I appreciated the insights into common pitfalls and best practices, which have significantly enhanced my ability to generate relevant and accurate responses. Overall, it was an invaluable learning experience that equipped me with the skills to leverage generative AI effectively.
Reviewer Profile

5.0

Country Flag India
“Prompt Engineering for ChatGPT: Learn to Use a Large Language Model (LLM)”
Prompt engineering is the process of designing and optimizing input prompts to effectively guide a language model's responses. Assigning a persona allows ChatGPT to answer from a particular role or perspective. This can help produce responses tailored to specific audiences or scenarios. We will demystify the world of prompt engineering in the context of ChatGPT. We'll explore the core principles and techniques.
Reviewer Profile

4.0

Country Flag India
“Rating the Prompt Engineering Course: An In-Depth Review”
This course provides an in-depth exploration of prompt engineering techniques, aimed at helping learners understand how to craft effective prompts for AI models. It covers the foundational principles, best practices, and advanced strategies for designing prompts that generate high-quality, relevant outputs.
Reviewer Profile

4.0

Country Flag India
“HTML for Beginners: Very Good for Learning”
Prompt engineering in ChatGPT involves crafting specific, clear, and relevant input prompts to guide the model's responses effectively. The goal is to get the desired outcome from ChatGPT by structuring the prompt in a way that provides context, instructions, and detail. Here are some best practices for prompt engineering in ChatGPT: 1. Be clear and specific: Provide precise instructions or questions to avoid ambiguity. Example: Instead of saying "Explain AI," specify "Can you explain the basics of how Generative AI works?"

Our course instructor

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Vishnu Subramanian

Data Scientist & AI Engineer

ChatGPT and Generative AI Expert

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239.7K+ Learners
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2 Courses
Vishnu Subramanian Iyer is an experienced Data Scientist and AI engineer currently working as an Associate Manager at Accenture. With expertise in Large Language Models, Deep Learning, and Generative AI, he has held roles in organizations like Great Learning and the Government of Delhi. Vishnu also holds advanced degrees in Data Science and International Business.

Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Yes, upon successful completion of the course and payment of the certificate fee, you will receive a completion certificate that you can add to your resume.

Is this course free?

Yes, you may enroll in the course and access the course content for free. However, if you wish to obtain a certificate upon completion, a non-refundable fee is applicable.

What is the salary of a prompt engineer in 2026?

Prompt engineer salaries in 2026 (Glassdoor):

  • Entry-level (US): $90,000 to $140,000
  • Senior (US): $200,000 to $340,000 at OpenAI, Anthropic, Google
  • Entry-level (India): ₹4.2 to ₹6.8 LPA
  • Senior (India): ₹16 LPA and above at AI-first companies

A recognized AI prompt engineering course is now a common hiring prerequisite for these roles.

Why choose the Free Prompt Engineering for ChatGPT Course over Coursera or Simplilearn?

This AI prompt engineering course is designed for practical, fast skill-building.

Key differences:

  • 3 hours long vs Coursera or Vanderbilt's 19 hours
  • Covers the latest models: GPT-4.5, o1, o3-mini (Module 7)
  • 100% free with lifetime access and free certificate option
  • 8 focused modules on prompt engineering for ChatGPT

Most free competitor courses still teach GPT-3.5 or GPT-4 only.

How long is the Free Prompt Engineering for ChatGPT Course?

The AI prompt engineering course is 3 hours long and self-paced. It has 8 modules:

  1. LLM training and inference
  2. OpenAI journey and GPT training
  3. Tokenization
  4. Model deployment and tokens
  5. Operationalizing generative AI
  6. Introduction to prompt engineering
  7. ChatGPT 4.5, o1, and o3-mini
  8. Hands-on sample prompts

What is Generative AI and why is it important?

Generative AI creates new content such as text, code, or images. It enables machines to produce original outputs, with applications across creative writing, software development, research, marketing, and problem-solving.

What will I learn in the Free Prompt Engineering for ChatGPT Course?

The AI prompt course covers effective prompt writing for ChatGPT and other LLMs:

  • Prompt fundamentals
  • Zero-shot and few-shot prompting
  • Role-based prompts
  • Instruction prompts
  • Refinement techniques
  • GPT-4.5, o1, and o3-mini models

Skills apply to writing, research, coding, marketing, and analysis.

What are LLMs (Large Language Models) and how do they work?

LLMs are advanced NLP models trained on large volumes of text. They understand and generate human-like text based on input prompts, and are the foundation of tools such as ChatGPT, Claude, and Gemini.

Who should learn prompt engineering?

You can learn prompt engineering for free through this course if you use ChatGPT or other LLMs professionally.

Target audiences include:

  • Content writers and marketers
  • Developers and analysts
  • Founders and product managers
  • Students and business users

The course is beginner-friendly with no AI prerequisites.

Is the Free Prompt Engineering for ChatGPT Course beginner-friendly?

Yes. The AI prompt engineering course is designed for beginners. No prior AI or technical knowledge is required. It starts with LLM and prompt fundamentals and builds skills step by step across 8 modules.

What are the basics of Prompt Engineering?

Prompt Engineering involves crafting precise instructions for LLMs to generate desired outputs, understanding model capabilities, and refining prompts through experimentation.

Will I have lifetime access to the Free Prompt Engineering for ChatGPT Course?

Yes. Once enrolled, you retain lifetime access to the Prompt Engineering for ChatGPT course on Great Learning Academy. You can log in and resume learning at your own pace at any time.

How much does the Free Prompt Engineering for ChatGPT Course cost?

The AI prompt engineering course is 100% free to enroll and complete. A one-time non-refundable certificate fee applies only if you wish to claim the completion certificate. There are no subscriptions, upsells, or hidden charges.

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