Prompt Engineering and RAG for Software Engineers
Prompt Engineering and RAG for Software Engineers, available at $54.99, has an average rating of 3.77, with 45 lectures, 4 quizzes, based on 61 reviews, and has 7392 subscribers.
You will learn about Prompt engineering techniques Prompts customization and optimization AI bias mitigation strategies Real-World prompt applications Developing a mobile chatbot using ChatGPT API and React Native This course is ideal for individuals who are Software Developers, Data Scientists or Professionals, students, and enthusiasts from various fields who want to leverage AI's potential to improve their work or personal lives. or Software developers who want to become more efficient with the help of AI tools. or People looking forward to learn new skills with the help of AI. or Machine learning Engineers, MLOps Engineers It is particularly useful for Software Developers, Data Scientists or Professionals, students, and enthusiasts from various fields who want to leverage AI's potential to improve their work or personal lives. or Software developers who want to become more efficient with the help of AI tools. or People looking forward to learn new skills with the help of AI. or Machine learning Engineers, MLOps Engineers.
Enroll now: Prompt Engineering and RAG for Software Engineers
Summary
Title: Prompt Engineering and RAG for Software Engineers
Price: $54.99
Average Rating: 3.77
Number of Lectures: 45
Number of Quizzes: 4
Number of Published Lectures: 45
Number of Published Quizzes: 4
Number of Curriculum Items: 49
Number of Published Curriculum Objects: 49
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- Prompt engineering techniques
- Prompts customization and optimization
- AI bias mitigation strategies
- Real-World prompt applications
- Developing a mobile chatbot using ChatGPT API and React Native
Who Should Attend
- Software Developers, Data Scientists
- Professionals, students, and enthusiasts from various fields who want to leverage AI's potential to improve their work or personal lives.
- Software developers who want to become more efficient with the help of AI tools.
- People looking forward to learn new skills with the help of AI.
- Machine learning Engineers, MLOps Engineers
Target Audiences
- Software Developers, Data Scientists
- Professionals, students, and enthusiasts from various fields who want to leverage AI's potential to improve their work or personal lives.
- Software developers who want to become more efficient with the help of AI tools.
- People looking forward to learn new skills with the help of AI.
- Machine learning Engineers, MLOps Engineers
Unleash your AI’s full potential with our comprehensive course on prompt engineering and RAG (Retrieval-Augmented Generation), and master the art of crafting precise, powerful queries that will transform your language model’s performance.
AI tools can make you a super software developer if you use them correctly. In this course, we will see the theoretical and practical aspects of how to craft special requests for AI in order to bypass its limitations.
Why is this course relevant?
AI tools will automate many tasks in our day to day lives. The labour market will differentiate between the people using AI and the ones who don’t, since the productivity gap between the two categories will deepen as the tools will become more sophisticated.
With prompt engineering, you can position yourself ahead of the curve, gaining a competitive advantage in your professional and personal life. As AI becomes increasingly integrated into various industries, those who can effectively harness its capabilities will be highly sought after. This course will equip you with the necessary skills to excel in this evolving landscape.
What will you learn in this course?
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Foundational Concepts: Understand the basics of AI, language models, and how they work, so you can have an informed approach to prompt engineering.
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Prompt Engineering Techniques: Discover various strategies and techniques to craft effective prompts that maximize AI performance, including specificity, context, and iterative prompting.
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Customization and Optimization: Learn how to fine-tune prompts to suit specific tasks, industries, or applications, and optimize them for desired outcomes.
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RAG: Learn how to create retrieval-augmented generation tools with Llama and Gemini models.
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Bias Mitigation: Gain insights into AI biases and how to mitigate their impact while crafting prompts, ensuring your AI-driven solutions are fair and unbiased.
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Real-World Applications: Explore practical case studies and real-world scenarios to see how prompt engineering can enhance productivity and efficiency across various domains.
Who is this course for?
This course is designed for professionals, students, and enthusiasts from various fields who want to leverage AI’s potential to improve their work or personal lives. No prior experience in AI or programming is required, as the course is structured to cater to both beginners and advanced learners.
By the end of this course, you will have a solid understanding of prompt engineering and be equipped to use AI tools more effectively, making you an invaluable asset in the rapidly evolving AI-driven world.
Get ready to become a master in using the GPT models, or any large language model out there. With the prompting strategies that you will see in this course, you can easily perform the role of a software engineer, lawyer, social media star or even mathematician. All with the help of ChatGPT and other similar tools.
This course is intended for beginners and experienced tech-savvy people. You don’t need programming experience, however, if you do code, buckle up as we are also going to build a chatbot mobile app using ReactNative and API behind ChatGPT. If not, don’t worry! The course will teach you anything you need to know.
Elevate your AI experience by learning innovative techniques to generate insightful, accurate, and bias-free responses, propelling your projects to new heights of success.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Chapter 2: Basic Prompt Engineering
Lecture 1: Intro to Basic Prompt Engineering
Lecture 2: Role Prompting and Giving Instructions
Lecture 3: Few Shot Prompting
Lecture 4: Style Guidance and Descriptors
Chapter 3: Intermediate Prompt Engineering
Lecture 1: Chain of Thought Prompting
Lecture 2: Self Consistency
Lecture 3: Least to Most Prompting
Chapter 4: Building a Mobile Chatbot App
Lecture 1: Intro
Lecture 2: Preparing your OpenAI API Access
Lecture 3: 3. Installing the NodeJs Dependencies
Lecture 4: Creating the ChatBot App with React-Native and OpenAI API
Chapter 5: Building a Web-based ChatBot with Vercel AI SDK, Llama 2 and TailwindCSS
Lecture 1: Introduction
Lecture 2: Creating a Simple ChatBot App with Vercel AI SDK
Lecture 3: Making a Social Media Expert ChatBot
Lecture 4: Adding Styles to the ChatBot
Chapter 6: Image Prompting
Lecture 1: Introduction to Image Prompting Techniques
Lecture 2: Style Modifiers and Quality Boosters
Lecture 3: Repetitions and Weighted Terms
Lecture 4: Fixing Deformations and Shot Tyoes
Lecture 5: Tips for Midjourney
Lecture 6: Useful Resources
Chapter 7: Completion Reliability
Lecture 1: Reliability and Debiasing
Lecture 2: Prompt Ensembling
Lecture 3: Self Evaluation
Chapter 8: Prompt Hacking
Lecture 1: Introduction to Prompt Hacking
Lecture 2: Prompt Injection
Lecture 3: Prompt Leaking
Lecture 4: Jailbreaking
Chapter 9: BONUS: Deploying a Large Language Model on your Personal Computer
Lecture 1: Deploying a Coding Large Language Model on your Local Computer
Chapter 10: Prompting Frameworks
Lecture 1: The RTF Framework
Lecture 2: The RISEN Framework
Lecture 3: The RODES Framework
Lecture 4: Chain of Density
Chapter 11: Retrieval Augmented Generation
Lecture 1: Building a RAG (Retrieval-Augmented Generation) Tool with OpenAI and LangChain
Lecture 2: Building a RAG Tool with LangChain and Llama3
Lecture 3: Create a RAG Tool With the Google Gemini Model
Chapter 12: Applied Prompts
Lecture 1: Structuring and Composing Emails
Lecture 2: Structuring Data and Reviewing Legal Contracts
Lecture 3: Writing Blogs with Large Language Models
Lecture 4: Writing Code with Large Language Models
Lecture 5: The RICCE Framework
Lecture 6: Other Applied Prompts
Lecture 7: Anthropic Prompt Library
Lecture 8: More Resources
Instructors
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Laurentiu Raducu
Software Engineer in Test
Rating Distribution
- 1 stars: 2 votes
- 2 stars: 3 votes
- 3 stars: 11 votes
- 4 stars: 16 votes
- 5 stars: 29 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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