A Beginner Guide to Prompt Engineering for Developers

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1. Getting Started

1. Introduction.mp4

02:33

2. Introduction to Prompt Engineering for Developers

1. Getting Started with Prompt Engineering.mp4

03:27

2. Prompting with Respect to Code Snippets.mp4

04:13

3. Writing Code in ChatGPT or OpenAI.mp4

04:27

3. Generative AI in Coding

1. Introduction to Generative AI in Coding.mp4

02:40

2. Code Generation and Review using ChatGPT.mp4

06:26

3. Code Debugging.mp4

04:47

4. Code Explanation.mp4

04:46

5. Code Translation.mp4

04:12

6. Syntax Correction.mp4

04:58

7. Improving Performance of Code.mp4

04:10

8. Function Writing.mp4

04:03

9. Class Writing.mp4

02:55

4. Amazons CodeWhisperer

1. Introduction to Amazon Code Whisperer.mp4

03:02

2. Setting up AWS Code Whisperer inside of VS Code.mp4

10:22

3. Generating Functions, Classes and Algorithm using AWS CodeWhisperer.mp4

10:39

4. Solving Real life Coding Problems using AWS CodeWhisperer.mp4

12:28

5. Project 1 Solving the Machine Learning Project Using AWS CodeWhisperer (Part 1).mp4

10:38

6. Project 1 Solving the Machine Learning Project Using AWS CodeWhisperer (Part 2).mp4

07:08

7. Project 2 Building a Snake Game in Python using AWS Code Whisperer (Part 1).mp4

08:33

8. Project 2 Building a Snake Game in Python using AWS Code Whisperer (Part 2).mp4

10:22

5. Github CoPilot

1. Introduction to Github Copilot.mp4

02:36

2. Setting up Github Copilot inside VS Code.mp4

04:56

3. Generating Functions, Classes and Algorithms using Github Copilot.mp4

03:37

4. Solving Real Life Coding Problems using Github Copilot.mp4

05:26

5. Solving a Mini Project using Github Copilot.mp4

07:30

6. Building a Game using Prompts in Github Copilot.mp4

05:55

6. Tabnine AI Coding Companion

1. Introduction to Tabnine - Another Great AI Coding Companion.mp4

02:40

2. Setting up Tabnine Inside of Visual Studio Code.mp4

08:50

3. Solving Real Life Coding Scenario using Tabnine(Making Youtube Video Downloader).mp4

08:42

7. Project Weather App in Django by using Prompts in Tabnine

1. Project Overview.mp4

04:24

2. Setting up API Key and Project Structure.mp4

13:04

3. Setting up Back End using Prompts Only.mp4

13:00

4. Overview of Front End and Styling the Webpage.mp4

09:29

8. SourceGraph Cody - Another but Powerful AI Assistant

1. Introduction to SourceGraph Cody.mp4

02:14

2. Setting up SourceGraph Cody inside of Visual Studio Code.mp4

10:19

3. Exploring Codys Capabilities and Seeing Some Use Cases.mp4

11:19

4. Project Creating a PdfMerger Utility by Using the Power of Prompts in SGC.mp4

11:54

9. Conclusion

1. Conclusion.mp4

00:50

Description

Mastering the Art of Prompt Engineering and Building Powerful Applications with OpenAI's ChatGPT

What You'll Learn?

Discover the significance of prompt engineering in tailoring language models' responses.
Explore various prompt engineering techniques to achieve specific task-oriented outputs.
Learn how to evaluate and iterate on prompts to improve language model performance.
Gain insights into best practices for creating effective prompts and obtaining reliable model responses.

Who is this for?

Ideal for developers, AI practitioners, and NLP enthusiasts seeking to enhance prompt engineering skills.

Suitable for those interested in automating tasks

For those who want to gain expertise in prompt engineering techniques.

What You Need to Know?

Basic understanding of natural language processing (NLP) concepts is recommended.

Familiarity with working with language models.

Little Proficiency in programming language.

You'll be implementing prompt engineering techniques using different prompting libraries.

More details

Description
Get ready for "Prompt Engineering for Developers: A Comprehensive Course for Beginners." This course will introduce you to the fascinating world of prompt engineering, empowering developers to optimize language models like ChatGPT for specific tasks and domains. Prompt engineering allows you to fine-tune language models and craft customized prompts to elicit desired responses.
This cutting-edge course is designed to equip developers with the essential skills and knowledge required to harness the power of AI language models and specifically all AI tools, to revolutionize their development process. As technology continues to evolve, AI language models have emerged as indispensable tools for developers seeking to create innovative and intelligent applications. Whether you're an experienced programmer looking to expand your repertoire or a newcomer eager to explore the realm of artificial intelligence, this course will empower you to utilize prompts effectively, optimize model outputs, and explore the full potential of AI language models in your projects.
Throughout this course, you'll delve into the inner workings of prompt engineering, gaining a profound understanding of its architecture and capabilities. From constructing sophisticated prompts that yield accurate and contextually relevant responses to fine-tuning models for specialized applications, our comprehensive curriculum covers every facet of prompt engineering. The hands-on nature of this course ensures that you'll have ample opportunities to put your newfound knowledge into practice, embarking on thrilling projects that leverage AI to build innovative solutions. Embark on this journey into the realm of prompt engineering, and unlock a world of possibilities to enhance your development skills and create groundbreaking applications.
Course Overview:
Prompt engineering is a powerful concept that enables developers to tailor language models' behavior by providing context or instructions in the form of prompts. In this comprehensive course, you will explore the fundamentals of prompt engineering and gain hands-on experience in creating effective prompts for language models.
Hands-On Learning:
The "Prompt Engineering for Developers" course focuses on practical learning with a series of hands-on exercises and labs. Through interactive sessions, you will work directly with language models, crafting and refining prompts to influence their outputs. This hands-on approach will deepen your understanding and skill in prompt engineering.
Who Should Enroll:
This course is designed for developers, AI practitioners, NLP enthusiasts, and anyone eager to optimize language models for specific tasks. Whether you are new to prompt engineering or seeking to enhance your expertise, this course will equip you with valuable insights and practical techniques.
Prerequisites:
Basic understanding of natural language processing (NLP) concepts is recommended.
Familiarity with working with language models.
Little Proficiency in a programming language.
You'll be implementing prompt engineering techniques using different prompting libraries.

What You'll Learn:
Throughout the course, you will:

Discover the significance of prompt engineering in tailoring language models' responses.
Explore various prompt engineering techniques to achieve specific task-oriented outputs.
Learn how to evaluate and iterate on prompts to improve language model performance.
Gain insights into best practices for creating effective prompts and obtaining reliable model responses.

Course Structure:
The course comprises approximately 30 labs, starting with foundational concepts and gradually progressing to advanced prompt engineering techniques. Each lab will provide hands-on exercises, ensuring that you gain practical experience in prompt engineering.
Who This Course is For:
Ideal for developers, AI practitioners, and NLP enthusiasts seeking to enhance prompt engineering skills.
Suitable for those interested in automating tasks, generating specialized content, fine-tuning model behavior, or addressing specific use cases.
Empowers learners to optimize language models and craft effective prompts for various tasks.
Embark on an exciting journey into the world of prompt engineering and unleash the full potential of language models.
For those who want to gain expertise in prompt engineering techniques by the end of the course.
Students who want to apply learned skills to enhance language models for your projects and applications.
Who this course is for:
Ideal for developers, AI practitioners, and NLP enthusiasts seeking to enhance prompt engineering skills.
Suitable for those interested in automating tasks
For those who want to gain expertise in prompt engineering techniques.

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SkillCurb is in the business of making an impact through creating easy to understand cutting edge technology courses at affordable prices. We are proud to have our co-instructors from around the world that are certified and have years of practical experience working for the fortune 500 companies build quality courses for our students.We focus on the next generation of technology platforms that will prepare our workforce for what's next to come in the future and secure a job in this competitive market.One of our goals is to set aside part of our revenues to charitable causes that focus on providing education to under-privileged students.Some of the key differentiators of our online courses:1: Our instructors are passionate about technology and have been teaching on average for more than 10 years individually.2: We make sure that our Practical Labs in the courses are the center of focus where students can learn to implement real-life use cases necessary to succeed at work.3: All our courses have Capstone projects in the end where students can apply the skills learnt during the course and create awesome projects which can be showcased on their resumes and interviews.4: All our lectures have Quizzes in the end which forces the student to start applying the key principles learnt.5: We make sure that all complex ideas are broken down and Visually Explained for the students rather than showing them long winded text which at times is hard to conceptualize.6: We make sure that our instructors communicate clearly and are highly proficient in delivering lectures in English.7: We also try to add bonus reference material for the students that they can use for future reference i.e interview questions with answers and additional coding challenges with solutions.

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