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Miguel Amigot

Are you tired of spending hours writing and debugging code? Do you want to streamline your programming workflow and enhance your productivity? Look no further than ChatGPT!

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Are you tired of spending hours writing and debugging code? Do you want to streamline your programming workflow and enhance your productivity? Look no further than ChatGPT!

In this course, you will learn how to harness the power of ChatGPT to revolutionize your coding process. From ideation to testing and debugging, ChatGPT can generate code programmatically, saving you valuable time and energy.

Led by software engineer Miguel Amigot, you will explore the many applications of ChatGPT in data, coding, and tech. With its human-like conversation capabilities, ChatGPT can aid in architecture and design, code rewriting, and even testing and debugging.

By the end of this course, you will have a deep understanding of the features, uses, and limitations of ChatGPT technology. Armed with this knowledge, you can apply it to your own projects and endeavors, pushing boundaries and innovating in the field of programming. Join us on this exciting adventure and unlock the incredible potential of ChatGPT.

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What's inside

Learning objectives

  • Gain an understanding of chatgpt's capabilities and limitations, including its use cases in data, coding, and tech.
  • Develop proficiency in using chatgpt for generating code programmatically, from ideation to testing and debugging.
  • Explore the applications of chatgpt in architecture and design, code rewriting, and other areas of programming.
  • Learn how to integrate chatgpt into your programming workflow and leverage its human-like conversation capabilities to enhance productivity.

Syllabus

Module 1:● Understanding the impact of AI and language models in tech● Exploring the various use cases of ChatGPT in data, coding, and tech● Analyzing and using Language Models in Web DevelopmentModule 2:● Understanding how to use ChatGPT for code efficiency● Generating ideas with ChatGPT● Learning how to use ChatGPT for data analysis and visualizationModule 3:● Customizing ChatGPT for technical applications● Understanding best practices when using ChatGPT in tech

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Covers key topics in data, coding, and technology, making it highly relevant to industry, academia, and personal growth and development
Teaches learners how to use ChatGPT for code efficiency, data analysis, and visualization, which are core skills for software engineers
Develops learners' proficiency in using ChatGPT for code generation, testing, and debugging, which can significantly enhance productivity
Taught by Miguel Amigot, a seasoned software engineer with industry experience, which adds credibility to the course content
Includes hands-on labs and interactive materials, which can enhance the learning experience and cater to different learning styles
Requires learners to come in with some foundational knowledge in coding and programming, which may be a barrier for complete beginners

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in How to Use ChatGPT in Tech/Coding/Data with these activities:
Refresher: Review programming fundamentals
Solidify your understanding of fundamental programming concepts to enhance your ability to utilize ChatGPT effectively.
Browse courses on Programming Fundamentals
Show steps
  • Review core programming terms and concepts (e.g., variables, data types, operators)
  • Refamiliarize yourself with basic data structures (e.g., arrays, lists, dictionaries)
Assist fellow learners with ChatGPT
Strengthen your understanding of ChatGPT by mentoring others and providing guidance on its use in programming.
Browse courses on Mentoring
Show steps
  • Identify platforms or forums where learners seek support with ChatGPT
  • Offer your assistance and guide learners through ChatGPT-related challenges
  • Share your knowledge and experiences in using ChatGPT for programming
Explore ChatGPT tutorials for practical applications
Expand your knowledge by completing hands-on tutorials that showcase various applications of ChatGPT in programming.
Show steps
  • Identify specific programming tasks you want to tackle
  • Search for tutorials that guide you through using ChatGPT for these tasks
  • Follow the steps in the tutorials to implement ChatGPT in your own projects
Four other activities
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Create a repository of ChatGPT resources
Enhance your learning experience by organizing and compiling a collection of valuable ChatGPT-related materials.
Show steps
  • Conduct research to identify relevant resources (e.g., tutorials, documentation, code samples)
  • Create a central repository using a platform such as Google Drive, Notion, or GitHub
  • Categorize and organize the resources for easy access and retrieval
  • Continuously update and expand the repository as you discover new resources
Create code samples with ChatGPT
Develop your understanding of ChatGPT's code-generating capabilities by creating your own code samples with its assistance.
Show steps
  • Choose a specific programming problem or task
  • Describe your requirements to ChatGPT and generate initial code
  • Refine and iterate on the code with ChatGPT's guidance
  • Test and debug the generated code
Code challenges and exercises with ChatGPT
Strengthen your coding skills and ChatGPT utilization through targeted practice and problem-solving.
Browse courses on Coding Challenges
Show steps
  • Identify areas or concepts where you need additional practice
  • Create coding challenges or exercises that focus on those areas
  • Use ChatGPT as a tool to guide your problem-solving approach
  • Evaluate and improve your solutions based on ChatGPT's feedback
Develop a coding project with ChatGPT integration
Showcase your mastery of ChatGPT by incorporating it into a substantial coding project.
Show steps
  • Brainstorm a project idea that aligns with your learning goals and ChatGPT's capabilities
  • Design and plan the project architecture considering ChatGPT's role
  • Implement and integrate ChatGPT into your project
  • Test and refine your project's functionality
  • Document and share your project's results

Career center

Learners who complete How to Use ChatGPT in Tech/Coding/Data will develop knowledge and skills that may be useful to these careers:
Software Engineer
As a Software Engineer, you'll innovate and create new products and services using code. This course will help you work with others to create software. With ChatGPT now integrated into your workflow, you'll be able to enhance your productivity with a powerful language model.
Web Developer
As a Web Developer, you'll create and maintain websites. This course will help you understand the use cases of ChatGPT in data, coding, and tech. You'll be able to use ChatGPT to generate code programmatically, from ideation to testing and debugging. This will help you to work on more projects, build a portfolio, and establish yourself in the industry.
Data Scientist
As a Data Scientist, you'll extract knowledge from data in order to solve problems. This course provides an understanding of ChatGPT and its various use cases. With this knowledge, you'll be able to use ChatGPT to analyze and visualize data, understand how to use ChatGPT for code efficiency, and generate ideas.
Technical Writer
As a Technical Writer, you'll produce technical documentation, articles, and other materials. This course will help you develop a strong foundation in using ChatGPT. With ChatGPT, you'll be able to better understand the impact of AI and language models in tech. This will allow you to generate code programmatically, from ideation to testing and debugging.
Machine Learning Engineer
As a Machine Learning Engineer, you'll develop and deploy machine learning models for various applications. This course will help you to gain an understanding of the features, uses, and limitations of ChatGPT technology. With this knowledge, you'll be able to use ChatGPT in innovative ways to enhance your productivity.
Artificial Intelligence Engineer
As an Artificial Intelligence Engineer, you'll be involved in the development and implementation of artificial intelligence systems. This course will introduce you to the impact of AI and language models in tech. It will also help you to understand how to use ChatGPT for code efficiency.
Data Analyst
As a Data Analyst, you'll collect, analyze, interpret, and present data to help organizations make informed decisions. This course may be useful to you as it provides an understanding of how to use ChatGPT for code efficiency and generate ideas.
IT Manager
As an IT Manager, you'll be responsible for the planning, implementation, and maintenance of an organization's IT systems. This course may be useful to you as it provides an understanding of the impact of AI and language models in tech. It will also help you to understand how to use ChatGPT for code efficiency.
Product Manager
As a Product Manager, you'll be responsible for the development and launch of new products. This course may be useful to you as it provides an understanding of how to use ChatGPT for code efficiency and generate ideas.
Systems Engineer
As a Systems Engineer, you'll be responsible for the design, implementation, and maintenance of an organization's IT systems. This course may be useful to you as it provides an understanding of the impact of AI and language models in tech. It will help you to understand the use cases of ChatGPT in data, coding, and tech.
Computer Programmer
As a Computer Programmer, you'll write, test, and maintain computer programs. This course will help you to understand how to use ChatGPT for code efficiency. It will also help you to understand the use cases of ChatGPT in data, coding, and tech.
Software Architect
As a Software Architect, you'll design and develop software systems. This course may be useful to you as it provides an understanding of the impact of AI and language models in tech. It will also help you to understand how to use ChatGPT for code efficiency and generate ideas.
Database Administrator
As a Database Administrator, you'll be responsible for the installation, maintenance, and performance of an organization's databases. This course may be useful to you as it provides an understanding of how to use ChatGPT for code efficiency and generate ideas.
Computer Systems Analyst
As a Computer Systems Analyst, you'll analyze and design computer systems. This course may be useful to you as it provides an understanding of the impact of AI and language models in tech. It will also help you to understand how to use ChatGPT for code efficiency.
Network Administrator
As a Network Administrator, you'll be responsible for the installation, maintenance, and security of an organization's computer networks. This course may be useful to you as it provides an understanding of the impact of AI and language models in tech. It will also help you to understand how to use ChatGPT for code efficiency and generate ideas.

Reading list

We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in How to Use ChatGPT in Tech/Coding/Data.
This classic textbook provides a comprehensive and in-depth overview of machine learning and pattern recognition. While more advanced than many of the other books on this list, it good pick for those who want a deeper understanding of the underlying mathematics.
Many of the techniques ChatGPT uses involve deep learning. can be used to understand the fundamentals of deep learning.
Provides a theoretical foundation for machine learning, with a focus on the algorithmic aspects. It's a good pick for those who want a deeper understanding of the underlying theory.
Serves as a comprehensive and detailed overview of the field of deep learning. While not specifically focused on ChatGPT, it will provide useful background knowledge for many of the concepts ChatGPT uses.
Provides a probabilistic perspective on machine learning, with a focus on the Bayesian approach. While not specifically focused on ChatGPT, it will provide useful background knowledge for many of the concepts ChatGPT uses.
Provides a broad overview of many of the concepts underlying natural language processing. It's a good pick for background knowledge in this field.
Provides a concise and practical introduction to machine learning, with a focus on the core concepts. It's a good pick for a quick overview of the field.
Provides a very accessible introduction to the field of machine learning. It's a good pick for those who are new to the field or who want a quick overview.

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