Great Learning via Great Learning Academy
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.
In this module, we will learn how Large Language Models are trained using vast datasets and how they generate responses through the inference process.
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.
In this module, we will understand tokenization, how text is converted into tokens, and why tokenization is essential for processing and generating language effectively.
In this module, we will learn the basics of deploying language models, understand token usage, and explore their role in model interaction and performance.
In this module, we will explore how Generative AI solutions are implemented in real-world environments, focusing on deployment, monitoring, scalability, and business applications.
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.
In this module, you will learn about the features and functionalities of ChatGPT 4.5, o1, and o3-mini, including their key improvements.
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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Great Learning is in Tier 4: commercial training companies and platform-made courses of our institution ranking (58/100).
-Learn more and enroll in the program: https://online.stanford.edu/programs/generative-ai-technology-business-and-society-program Recent advancements in generative AI are reshaping industries, pushing technological boundaries, and revolutionizing creative processes. In this fast-changing landscape…
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