Overview
What is Prompt Engineering & Why we need Prompt Engineering, Prompt Engineering Strategy for Large Language Models, Prompt Engineering Techniques for Large Language Models, Build Chatbot using Prompt Engineering, Build Prompt Enginnering based application using OpenAI models, In context learning using Prompt Engineering, Zero-Shot , One-Shot, Few-Shot Prompt Engineering Techniques, Understanding Chain-Of-Thought, How to enable reasoning capability of Language Models
Biginner IT professional who wants to learn Prompt Engineering and How to use Language Model, Any IT Professional who wants to transition into the field of Generative AI and Large Language Model, Anybody who wants to learn from Zero and become Master in Prompt Engineering
Basic understanding of Python
Fundamentals of Prompt Engineering
Unlock the full potential of generative AI with our comprehensive course on Prompt Engineering—a pivotal skill in the modern landscape of language models. Whether you’re a developer, data scientist, or simply curious about harnessing AI's capabilities, this course is designed to equip you with the strategies and techniques needed to master the art of prompting.
What You’ll Learn:
The Importance of Prompt Engineering:
Start your journey by exploring why prompt engineering is essential in shaping effective AI interactions and driving impactful outcomes.Understanding Prompts – What & How:
Demystify the concept of a prompt using real-world analogies. Learn the differences between system, instructional, and user prompts, with a special emphasis on the critical role of system prompts in guiding AI behavior.Crafting Clear Instructions:
Discover strategies for writing precise, unambiguous instructions that ensure your prompts yield the best possible responses.Breaking Down Complex Tasks:
Learn how to split intricate tasks into smaller, manageable sub-tasks to simplify the prompt creation process and enhance clarity.Mastering Prompting Techniques:
Gain hands-on experience with key techniques including:Zero-shot prompting: Leveraging no examples to generate responses.
One-shot prompting: Using a single example to guide AI.
Few-shot prompting: Providing multiple examples for more refined outputs.
Chain-of-thought prompting: Encouraging the AI to articulate its reasoning process, leading to more transparent and often more accurate responses.
Diverse Real-World Applications:
See prompt engineering in action by developing a generative AI use case—a Digital Assistant for libraries. This practical project demonstrates how thoughtful prompt design can transform real-world scenarios.
Why Enroll?
In a world where AI is rapidly evolving, understanding how to effectively communicate with language models is more critical than ever. This course not only introduces you to the theory behind prompt engineering but also empowers you with practical, actionable techniques to innovate and excel in your projects. By the end of this course, you'll have a robust toolkit to craft powerful prompts that drive the AI applications of tomorrow.
Join us and transform the way you interact with AI—one prompt at a time.
Pramod Kumar Singh
I am a Data Science Specialist with 22+ years of experiance, working as Senior Data Scientist. I focus on pioneering research and incubation in AI, ML, and Generative AI. My work is dedicated to pushing the boundaries of technology to drive innovation and create intelligent solutions that transform the industry.
As a technology enthusiast, I am drawn to projects that contribute to making the world a better place. Collaborating with others and learning from their perspectives is something I truly enjoy, as it helps me continuously develop as an individual.