AI Prompt Engineering and RAG for Software Engineers

Become more productive and use AI technologies more efficiently using Prompt Engineering. Future-proof your career now!
4.29 (198 reviews)
Udemy
platform
English
language
Data Science
category
AI Prompt Engineering and RAG for Software Engineers
12 912
students
2 hours
content
Jun 2025
last update
$29.99
regular price

Why take this course?

🚀 AI ChatGPT Complete Guide: Prompt Engineering Masterclass 🌟

Unlock the Full Potential of AI with Prompt Engineering!


Course Headline: 🎓 Become more productive and use AI technologies more efficiently using Prompt Engineering. Future-proof your career now!


Course Description:

Embark on a transformative journey with our AI ChatGPT Complete Guide: Prompt Engineering Masterclass. This course is meticulously crafted to empower you with the skills to harness the full potential of AI, particularly through the art of Prompt Engineering. 🤖✨


Why is this course relevant?

In a world where AI tools are poised to automate and streamline countless tasks, the ability to craft precise prompts could be your competitive edge. As the labor market evolves, those who can effectively use AI will undoubtedly have a significant advantage over those who cannot. This course is your gateway to staying ahead of the curve and future-proofing your career in an AI-driven world. 🚀


What will you learn in this course?

Foundational Concepts:

  • Basics of AI and language models
  • How they process and generate responses

Prompt Engineering Techniques:

  • Strategies for creating effective prompts
  • The role of specificity, context, and iterative prompting

Customization and Optimization:

  • Fine-tuning prompts for specific tasks or industries
  • Ensuring the best performance from your AI model

Bias Mitigation:

  • Understanding AI biases
  • Techniques to minimize the impact of biases in your prompts

Real-World Applications:

  • Examining case studies and scenarios
  • Applying prompt engineering in various domains for enhanced productivity and efficiency

Who is this course for?

This comprehensive course is tailored for:

  • Professionals aiming to enhance their work with AI
  • Students eager to dive into the world of AI and machine learning
  • Enthusiasts fascinated by the potential of AI technologies

No prior knowledge of AI or programming is required. This course is designed to be accessible to all, from novices to advanced users, ensuring that everyone can learn at their own pace and level. 🎓


By mastering the art of prompt engineering, you'll unlock a universe of possibilities, transforming yourself into an AI-powered virtuoso capable of navigating various roles with ease. Whether you're a software engineer, lawyer, social media guru, or mathematician, this course will equip you with the knowledge to leverage ChatGPT and similar tools to their fullest potential. 🌐


Bonus for Tech Enthusiasts: Dive into building a chatbot mobile app using ReactNative and API behind ChatGPT. No coding experience? No worries! The course will cover everything you need to know, from scratch. 🤝


Elevate your AI game by learning to generate insightful, accurate, and unbiased responses with our AI ChatGPT Complete Guide: Prompt Engineering Masterclass. It's time to take control of your AI journey and make it a resounding success. 🌟

Enroll now and be part of the future where you and AI work together in harmony to create, innovate, and succeed! 💡🚀

Course Gallery

AI Prompt Engineering and RAG for Software Engineers – Screenshot 1
Screenshot 1AI Prompt Engineering and RAG for Software Engineers
AI Prompt Engineering and RAG for Software Engineers – Screenshot 2
Screenshot 2AI Prompt Engineering and RAG for Software Engineers
AI Prompt Engineering and RAG for Software Engineers – Screenshot 3
Screenshot 3AI Prompt Engineering and RAG for Software Engineers
AI Prompt Engineering and RAG for Software Engineers – Screenshot 4
Screenshot 4AI Prompt Engineering and RAG for Software Engineers

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5290454
udemy ID
24/04/2023
course created date
13/05/2023
course indexed date
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