Mastering Prompt Engineering For Generative AI
Last updated 1/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 184.31 MB | Duration: 0h 33m
Last updated 1/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 184.31 MB | Duration: 0h 33m
Generative AI, Prompt Engineering, Hugging Face Transformers, Google Colab, GPT Model, BART Model, LLMs
What you'll learn
Understand the Fundamentals of Prompt Engineering
Master different types of prompts (Direct, Indirect, and Contextual) and apply best practices to improve AI-generated responses
Explore cutting-edge techniques to fine-tune AI interactions and avoid common pitfalls
Develop a Generative AI Text Summarizer in Python, applying prompt engineering concepts in a real-world scenario
Requirements
Basic understanding of Artificial Intelligence and Machine Learning (helpful but not mandatory)
Familiarity with Large Language Models (LLMs) like GPT (preferred but not required)
Basic Python programming knowledge (for the hands-on exercise)
Curiosity and willingness to explore AI-driven content generation
Description
Generative AI models, such as GPT and other large language models (LLMs), rely on well-crafted prompts to deliver high-quality results. Whether you're a data scientist, AI researcher, developer, or business professional, mastering prompt engineering is essential to harnessing the power of AI effectively.This course provides a comprehensive guide to prompt engineering, covering fundamental concepts, advanced techniques, and hands-on exercises to refine your skills. You’ll learn how to craft precise and impactful prompts that optimize AI responses for various applications, from content generation to automated decision-making.What You Will Learn The importance and role of prompts in AI models Different types of prompts: Direct, Indirect, and Contextual The technical foundations of prompt engineering Best practices and common pitfalls to avoid Advanced prompt engineering techniques and future trends Hands-on Exercise: Build a Generative AI Text Summarizer in PythonWhy Take This Course? Practical & Hands-on – Learn by doing with real-world applications Comprehensive & Up-to-Date – Covers both fundamental and advanced concepts Taught by an Expert – Led by Dr. Mohammad Dabbagh, a researcher and educator in Generative AIIdeal for students, AI enthusiasts, developers, and business professionals looking to enhance their AI skills!If you're ready to master the art of prompt engineering and enhance AI-generated outputs, enroll today and take your AI skills to the next level!
Students interested in AI and machine learning,AI enthusiasts and professionals eager to improve AI model interactions,Data scientists and machine learning practitioners,Developers and engineers working with LLMs,Business professionals looking to integrate AI solutions effectively