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Codestars • over 2 million students worldwide! and Ravinder Deol

Welcome to The Complete 'No-Code' ChatGPT & OpenAI API Course. It is the only course you need to master prompt engineering and build projects using ChatGPT and the OpenAI API (without code).The course includes over 5 hours of tutorials, step-by-step projects, assignments, and a responsive discussion board. This course is how you will master prompt engineering and start building projects using ChatGPT and the OpenAI API.

As well as prompt engineering, here are the 4 projects you'll build:

Read more

Welcome to The Complete 'No-Code' ChatGPT & OpenAI API Course. It is the only course you need to master prompt engineering and build projects using ChatGPT and the OpenAI API (without code).The course includes over 5 hours of tutorials, step-by-step projects, assignments, and a responsive discussion board. This course is how you will master prompt engineering and start building projects using ChatGPT and the OpenAI API.

As well as prompt engineering, here are the 4 projects you'll build:

  • Project 1) Automate Replies With ChatGPT (Zapier)

  • Project 2) Build Telegram Bots With ChatGPT (Make)

  • Project 3) Analyse Sentiment With ChatGPT (Parabola)

  • Project 4) Populate Databases With ChatGPT (Google Sheets)

Here's why this course will take you from zero to no-code AI developer (without code):• You will be learning all of the latest tips and tricks to get the most out of ChatGPT and the OpenAI API• The instructor has taught 1000s of people how to build tools without code• You will learn AI development (without code) by working directly with the API• The course is updated to reflect the latest changes in the ecosystem• You get access to better materials than those used in expensive no-code bootcampsBy the end of this course, you will have a portfolio of projects you can show potential employers or expand upon to build something original. You’ll be confident enough that you’ll be able to use your new skills to make money. You’ll love this course, and you have nothing to lose and everything to gain by learning one of the most profitable technologies. See you inside the course.

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What's inside

Learning objectives

  • Prompt engineering (zero-shot, role, few-shot, & chain prompting)
  • Reply automation using the openai api (+ chatgpt)
  • Telegram bot building using the openai api (+ chatgpt)
  • Sentiment analysing using the openai api (+ chatgpt)
  • Database populating using the openai api (+ chatgpt)

Syllabus

Introduction
Welcome To The Course
Course Resources
Create A New OpenAI Account
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Teaches prompt engineering, which is a valuable skill for interacting effectively with AI models like ChatGPT
Uses Zapier, Make, Parabola, and Google Sheets, which are popular no-code tools for automating workflows and integrating applications
Covers sentiment analysis, which is a useful technique for understanding customer feedback and market trends using AI
Explores ethical concerns surrounding ChatGPT, which is important for responsible AI development and deployment
Requires learners to create accounts with OpenAI and other third-party services, which may involve providing personal information

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Reviews summary

No-code chatgpt & openai api projects

According to learners, this course provides a practical introduction to using ChatGPT and the OpenAI API without writing code. Students particularly appreciate the focus on hands-on projects using popular no-code tools like Zapier, Make, Parabola, and Google Sheets. The course covers essential concepts like Prompt Engineering, offering clear explanations and mini-projects. While many find the content well-structured and the instructor clear, a common challenge mentioned is keeping pace with the rapidly changing AI landscape, which may require some sections to be updated to reflect the latest API changes or tool interfaces.
Instructor is clear and course is well-organized.
"The instructor explains things clearly and is easy to follow."
"The course is well-structured, moving logically from basics to projects."
"I appreciated the bite-sized lessons and the overall flow of the material."
Provides a solid foundation in prompt engineering.
"The sections on Zero-Shot, Role, Few-Shot, and Chain Prompting were very clear and useful."
"I learned how to craft effective prompts, which is crucial for working with ChatGPT and the API."
"The explanations of prompt engineering techniques made complex ideas easy to grasp."
Excellent entry point for users without coding skills.
"As someone with no coding background, this course was perfect for me."
"It truly delivers on the 'no-code' promise, making AI accessible."
"I never thought I could work with an API, but this course showed me how using simple tools."
Learn by building real-world no-code AI projects.
"The projects using Zapier, Make, etc., were incredibly helpful for understanding practical applications."
"I really enjoyed building the Telegram bot; it helped solidify the concepts."
"The hands-on projects are the strongest part; they make it easy to see how to use the API without code."
"Learning to automate replies and analyze sentiment using no-code tools was exactly what I needed."
Keeping up with fast-changing API and tools is a challenge.
"With how fast AI is evolving, some parts feel slightly outdated, needing updates."
"The interfaces of Zapier or Make might have changed since the videos were recorded."
"I had to search for workarounds because the API or tool connection steps had changed."
"Requires instructor effort to constantly update due to the dynamic nature of the topic."

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 The Complete 'No-Code' ChatGPT & OpenAI API Course with these activities:
Review Basic API Concepts
Reviewing basic API concepts will help you better understand how ChatGPT and the OpenAI API work, even without coding.
Show steps
  • Read articles or watch videos explaining APIs.
  • Identify the key components of an API request and response.
  • Understand the difference between REST and other API architectures.
Review 'Prompt Engineering for Dummies'
Reading this book will give you a solid foundation in prompt engineering, which is crucial for maximizing the potential of ChatGPT and the OpenAI API.
Show steps
  • Read the chapters on prompt engineering techniques.
  • Practice creating prompts for different scenarios.
  • Experiment with different prompting strategies to see what works best.
Automate Social Media Posts with ChatGPT
Starting a project to automate social media posts will allow you to apply your knowledge of prompt engineering and no-code tools to a real-world scenario.
Show steps
  • Choose a social media platform to automate.
  • Use a no-code tool like Zapier or Make to connect the platform to ChatGPT.
  • Design prompts that generate engaging social media content.
  • Schedule the automated posts.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Write a Blog Post on ChatGPT Use Cases
Creating a blog post will help you solidify your understanding of ChatGPT and its various applications, while also sharing your knowledge with others.
Show steps
  • Research different use cases for ChatGPT.
  • Choose a specific niche or industry to focus on.
  • Write a blog post that explains how ChatGPT can be used in that niche.
  • Include examples and case studies.
Build a No-Code ChatGPT-Powered Chatbot
Building a chatbot will provide hands-on experience with integrating ChatGPT into a practical application, reinforcing your understanding of the OpenAI API and no-code development.
Show steps
  • Choose a platform for your chatbot (e.g., Telegram, Slack).
  • Use a no-code platform like Make to connect the platform to the OpenAI API.
  • Design the chatbot's conversation flow and prompts.
  • Test and refine the chatbot's responses.
Review 'Working with AI: Real Stories of Human-Machine Collaboration'
Reading this book will provide a broader perspective on how AI is being used in the real world, helping you understand the potential impact of your no-code ChatGPT skills.
Show steps
  • Read the case studies on AI collaboration.
  • Identify the key challenges and opportunities of working with AI.
  • Reflect on how you can apply these insights to your own projects.
Help Others in Online Forums
Helping others solidify your understanding of the material.
Show steps
  • Find online forums or communities related to ChatGPT and no-code development.
  • Answer questions and provide guidance to other learners.
  • Share your own experiences and insights.

Career center

Learners who complete The Complete 'No-Code' ChatGPT & OpenAI API Course will develop knowledge and skills that may be useful to these careers:
No Code AI Developer
A No Code AI Developer builds AI applications without writing traditional code. This course equips you with the skills to construct projects using ChatGPT and the OpenAI API. You will engage in the step-by-step creation of diverse projects, such as automating replies, building Telegram bots, analyzing sentiment, and populating databases, all without writing code. This experience may provide confidence in your ability to develop AI solutions and showcase them to potential employers as a No Code AI Developer.
Prompt Engineer
A Prompt Engineer crafts effective prompts for large language models to generate desired outputs. This course helps build a foundation in prompt engineering, covering zero-shot, role, few-shot, and chain prompting techniques. You'll gain hands-on experience, mastering the art of instructing AI models to solve specific problems by leveraging ChatGPT and the OpenAI API. Furthermore, this course may be useful because it contains a module specifically dedicated to prompt engineering and its various sub-techniques and applications.
AI Trainer
An AI Trainer teaches others how to use AI tools and technologies. This course can help build a foundation by introducing you to ChatGPT and the OpenAI API, equipping you with the knowledge and skills to train others on these technologies. You will learn how to use these tools to automate tasks, extract insights, and create AI-powered applications, which are all essential skills for an AI Trainer.
AI Automation Specialist
An AI Automation Specialist designs and implements automated workflows using AI tools. This course may be useful, as it covers automating replies with ChatGPT using Zapier, building Telegram bots with ChatGPT using Make, analyzing sentiment with ChatGPT using Parabola, and populating databases with ChatGPT using Google Sheets. These projects provide a practical understanding of how to integrate AI into existing systems to automate tasks, a key skill for any AI Automation Specialist. This course is for you if you wish to learn how to do AI automation.
Business Automation Specialist
A Business Automation Specialist streamlines business processes using automation tools. This course will help you learn how to automate replies with ChatGPT using Zapier, which is a way of automating business processes. This course is for you if you are looking to learn business automation. Automating replies is one of the many tasks the Business Automation Specialist job entails.
Chatbot Developer
A Chatbot Developer designs and builds conversational interfaces for various platforms. This course may be useful, as it teaches you to build Telegram bots with ChatGPT using Make, providing a practical understanding of chatbot development. You will learn how to connect Telegram to ChatGPT and vice versa, enabling you to create intelligent and responsive chatbots. If you wish to create chatbots, this is the course for you.
Content Creator
A Content Creator develops engaging content for various platforms. This course helps build a foundation by introducing you to ChatGPT and the OpenAI API, tools which can be used to generate ideas, write scripts, and create various forms of content. A Content Creator will find these skills to be valuable to their career.
AI Integration Consultant
An AI Integration Consultant helps organizations integrate AI solutions into their existing systems. This course may provide a useful foundation as it introduces you to the OpenAI API as well as integrations with tools such as Zapier, Make, Parabola, and Google Sheets. You will gain hands-on experience connecting these tools to ChatGPT to automate tasks and extract insights, a valuable skill for an AI Integration Consultant. If you want to learn how to integrate AI, then this course may be a good start.
Digital Transformation Consultant
A Digital Transformation Consultant helps organizations adopt new technologies to improve their operations. This course explores digital transformation by introducing you to the OpenAI API and no-code tools. If you wish to become a Digital Transformation Consultant, then this course can serve as a starting point for your career.
AI Project Manager
An AI Project Manager oversees the development and implementation of AI projects. This course may be useful, as it provides practical experience in working with the OpenAI API and building AI-powered applications. This experience may benefit anyone who wants to be an AI Project Manager.
Data Analyst
A Data Analyst examines data to identify trends and insights. This course may be useful, as it includes a project on analyzing sentiment with ChatGPT using Parabola, which may help you develop skills in extracting and categorizing data using AI. You will also learn how to edit and format data and how to send data to Airtable, providing a basic understanding of data analysis workflows that a Data Analyst will find useful.
Solutions Architect
A Solutions Architect designs and implements complex IT solutions. This course may be useful, as it introduces you to the OpenAI API and no-code tools, which can be integrated into various IT systems. This course can help anyone hoping to become a Solutions Architect learn integration skills.
Machine Learning Engineer
A Machine Learning Engineer develops and deploys machine learning models. While this course does not cover traditional machine learning model development, it may be useful, as it introduces you to prompt engineering and working with the OpenAI API, which are valuable skills for interacting with and utilizing existing machine learning models. If you wish to become a Machine Learning Engineer, then this course may be a good introduction to the field.
Technical Writer
A Technical Writer creates documentation for technical products and services. This course may be useful, as it introduces you to ChatGPT and the OpenAI API, which you can use to generate and refine technical content. You can use your newfound skills to create documentation, tutorials, and other technical content more efficiently using AI tools. If you aspire to be a Technical Writer, this course can help you leverage AI to improve your work.
AI Ethicist
An AI Ethicist addresses the ethical implications of artificial intelligence. This course may be useful, as it touches upon the ethical concerns surrounding ChatGPT. You will have the opportunity to explore questions about the technology. If you aspire to be an AI Ethicist, this course may provide a foundation in understanding the ethical challenges associated with AI technologies.

Reading list

We've selected two 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 The Complete 'No-Code' ChatGPT & OpenAI API Course.
Provides a comprehensive overview of prompt engineering techniques, which are essential for effectively using ChatGPT and the OpenAI API. It covers various prompting strategies, including zero-shot, few-shot, and chain prompting, all of which are covered in this course. The book is particularly useful for beginners as it explains complex concepts in a simple and accessible manner. It serves as a valuable reference tool for mastering prompt engineering and building AI-powered applications.
Explores the practical aspects of working with AI, including how to effectively collaborate with AI systems like ChatGPT. It provides real-world examples and case studies of how organizations are using AI to improve their operations and create new opportunities. While not directly focused on no-code development, it offers valuable insights into the broader context of AI adoption and its impact on various industries. This book is more valuable as additional reading to understand the implications of the course.

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