Free Prompt Engineering Course with Certificate
Prompt Engineering for ChatGPT
4.58
Beginner level
3.0 learning hrs
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
What you'll learn
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.
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.
Master in-demand tools
ChatGPT
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.
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Practice exercises
Guided Projects
AI Resume Builder
AI mock interviews
Our course instructor
Vishnu Subramanian
Data Scientist & AI Engineer
ChatGPT and Generative AI Expert
Frequently Asked Questions
Will I receive a certificate upon completing this free course?
Is this course free?
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.
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:
- LLM training and inference
- OpenAI journey and GPT training
- Tokenization
- Model deployment and tokens
- Operationalizing generative AI
- Introduction to prompt engineering
- ChatGPT 4.5, o1, and o3-mini
- Hands-on sample prompts
What is Generative AI and why is it important?
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?
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?
What are the basics of Prompt Engineering?
Will I have lifetime access to the Free Prompt Engineering for ChatGPT Course?
How much does the Free Prompt Engineering for ChatGPT Course cost?
Which advanced programs help me move from prompt writing to generative AI applications?
Prompt engineering is a useful starting point for working with generative AI tools. To move from prompt writing to real applications, learners should build skills in LLM workflows, RAG, AI agents, output evaluation, and business use cases. Learners looking for a structured Generative AI Course can explore the IIT Bombay Certificate in Generative AI, which focuses on building and managing GenAI applications, or the Johns Hopkins Applied Generative AI and Agentic AI Certificate Program, which focuses on applying GenAI and agentic AI to practical business problems. You can choose based on your current skills, career goals, and the type of GenAI applications you want to build.
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