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Paulo Dichone | Software Engineer, AWS Cloud Practitioner & Instructor

Welcome to the comprehensive course on mastering ChatGPT & OpenAI APIs & Midjourney.

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Welcome to the comprehensive course on mastering ChatGPT & OpenAI APIs & Midjourney.

In this course, you will delve into ChatGPT, a powerful language model developed by OpenAI, and learn how to harness its capabilities to build cutting-edge conversational AI applications.

Whether you're a developer, data scientist, manager, marketer, or AI enthusiast, this course will equip you with the knowledge and skills to leverage the ChatGPT, Midjourney & OpenAI API to its full potential.

Throughout this course, we will cover the fundamentals of ChatGPT, Midjourney, and OpenAI API, guiding you through the process of setting up the API environment and making API requests to interact with OpenAI API effectively, as well as learning how to craft the best prompts for ChatGPT and Midjourney.

You'll gain hands-on experience with various projects, building real-world applications that showcase the versatility of ChatGPT/OpenAI API and its integration with other tools like LangChain.

Projects Included:

  1. How to use ChatGPT for Rapid Skills Acquisition: In this project, you will explore how ChatGPT can be used as a valuable tool for rapid skills acquisition.

  2. How to use ChatGPT for Writing a Children's Book: Unleash your creativity in this project, where you'll learn how to generate engaging and imaginative stories suitable for children. You'll learn how to use ChatGPT to craft captivating narratives, generate characters, and construct delightful adventures that will captivate young readers.

  3. How to use ChatGPT for Code Generation and Debugging: In this project, you'll explore how ChatGPT can be a powerful tool for code generation and debugging. You'll learn how to debug errors, and optimize algorithms, speeding up the development process and enhancing code quality.

  4. How to Create Amazing Images with Midjourney: Expand your horizons beyond text-based applications as you dive into Midjourney, an exciting image processing tool. In this project, you'll learn how to leverage Midjourney's capabilities to generate artistic images, apply style transfer, and create stunning visual content using ChatGPT-generated prompts.

  5. How to Build a Cover Letter Generator with OpenAI API: In this practical project, you'll create a cover letter generator that assists job seekers in crafting personalized and professional cover letters. You'll integrate ChatGPT with OpenAI API to generate customized cover letter content based on user inputs, helping job applicants stand out from the competition.

  6. How to Build a Virtual Realtor Assistant App with OpenAI API: Discover how OpenAI API can revolutionize the real estate industry as you develop a virtual realtor assistant app. You'll create a chatbot that assists potential homebuyers in finding their dream properties, providing relevant information, answering queries, and offering personalized recommendations.

  7. How to use LangChain, OpenAI API to Build a Youtube Assistant Bot: In this final project, you'll explore the integration of LangChain with OpenAI API to build a secure Youtube assistant bot. You'll develop a chatbot that interacts with users, finds and recommends videos, provides channel analytics, and ensures secure communication through LangChain.

Whether you're interested in enhancing your AI development skills or creating practical conversational AI applications, this course will provide you with the expertise needed to master the OpenAI API and unleash the full potential of ChatGPT, Midjourney, and LangChain in your projects.

Enroll now and embark on an exciting journey into the world of conversational AI.

Enroll now

What's inside

Learning objectives

  • Craft the best prompts for chatgpt and midjourney - prompt engineering
  • Learn how chatgpt and language models work
  • Master the openai api: understand the fundamentals of the openai api, learn how to set up the api environment, and gain proficiency in making api requests
  • Integrate langchain with openai to build automated applications
  • Generate amazing images with midjourney
  • Build automation web apps using langchain, openai api & streamlit

Syllabus

Introduction
Introduction & Course Structure
Demo - Let's See ChatGPT and OpenAI APIs in Action!
How To Get The Most Out of This Course
Read more
All the code and resources for this course
Download Source Code
ChatGPT Prompts and Slides
Midjourney Prompts and Slides
ChatGPT - An Introduction - Use Cases, AI History, ChatGPT Account Creation
What Is ChatGPT - An Introduction
ChatGPT Use-Cases
Create a ChatGPT Account & ChatGPT Demo
Free VS Paid ChatGPT Subscriptions
ChatGPT and AI Brief History
Section Summary
ChatGPT - A Deep Dive & How It Really Works
ChatGPT Anatomy
ChatGPT Anatomy, Data Collection and Tokenizer
The Neural Network and The Transformer - Deep Dive
Tokens and ChatGPT Language Model
Limitations and Capabilities of ChatGPT - An Overview
Hands-On - Content Creation - Use ChatGPT to Create a Blog Post
[TASK] - Your Turn - Content Creation with ChatGPT
Leverage ChatGPT to Create Children's Books
Creating the Outline for Children's Book with ChatGPT
Adding a Memorable Character to the Story
Writing the Opening Chapter
Writing the Full Story & Making Improvements
Finalizing the Final Book
How to Leverage ChatGPT to 10x Your Learning Process
ChatGPT for Rapid Skills Acquisition - Introduction
Using Pain-Points for Rapid Skills Acquisition
Use ChatGPT for Code Generation and Product Ideas
Code Generation with ChatGPT - Introduction and Explanations
Create a Java Password Generator with the Help of ChatGPT
Create an HTML Portfolio Page with the Help of ChatGPT
Create a Weather Web App with the Help of ChatGPT
ChatGPT Code Generation for a Chrome Extension - Overview
How to Develop a SaaS Product from Scratch with ChatGPT
Mastering Prompt Engineering and How To Craft the Best Prompts
What is a Prompt and Prompt Engineering
Prompt Components and Prompt Engineering
A Prompt Breakdown
Elements of a Prompt
Frameworks for Prompt Engineering - Introduction
The Clarifying Objective Framework
The Iterative Refinement Framework
The Reverse Engineer Framework
The Question-Answer Framework
The Instruction-Based Framework
The Conversational Context Framework
The Narrowing Down Framework
The Role-play Framework
The Feedback Loop Framework
The Emotion-Driven Framework
The Hypothesis Framework
The Comparative Framework
The Assumptive Framework
The Perspective-Switching Framework
Generative AI - Creating Visual Content with Midjourney
Image Generation with AI - Introduction
What is Midjourney
Generate a First AI Image with Midjourney
Midjourney parameters - Aspect Ratio
Saving Images in Midjourney
Midjourney Parameter - Chaos
Side-by-side Comparison of Chaos Images
Midjourney Parameter - Quality
Midjourney Parameter - Stop
Midjourney Parameter - Stylize
Midjourney Parameter - Tile
Midjourney Parameter - Version and Settings
Midjourney Parameter - No
Midjourney Prompt Engineering - Crafting the Best Prompts For Optimal Images
Midjourney Prompting - Introduction
Passing Image URL in Prompts
Separate Two Concepts in a Prompt
Hands-On: Midjourney Themes
[TASK] - Your Turn - Apply Themes in Your Domain
Midjourney Design Styles
Midjourney Engines
Drawing and Art Medium
Lighting
Realistic Photos with Midjourney
The OpenAI API - Leveraging the ChatGPT Engine to Build AI Powered Applications
The OpenAI API & Course Structure Checkpoint
Introduction to OpenAI API - API Keys and Documentation Overview
OpenAI Models - Overview
Writing our First API Request with cURL
Dev Environment Setup Instructions - Win/Mac/Linux
Set up VS Code and Python Extensions
Setup Python Environment in VS Code
Hitting the ChatCompletion OpenAI API Endpoint with Python - Full Setup
Hitting the ChatCompletion OpenAI API End Point in Javascript
[PROJECT] - Recommendation Engine with OpenAI - Setup
Recommendation Engine App - Render Function
Recommendation Engine App Testing
Recommendation Engine App - Improvements - Adding Numbers and CSS Changes

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops conversational and code-generating AI and tools that are highly relevant to industry and academia
Explores cutting-edge AI APIs like ChatGPT and OpenAI, which are shaping the future of conversational AI
Covers innovative topics such as Midjourney, an image generation tool, and LangChain, an automation platform
Offers hands-on practice with various projects and challenges, fostering experiential learning
Projects integrate with popular tools such as OpenAI API, LangChain, and Streamlit, providing a robust learning experience
Taught by Paulo Dichone, a Software Engineer and AWS Cloud Practitioner, leveraging his industry expertise

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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 ChatGPT & OpenAI APIs: The Comprehensive Guide with these activities:
Review course notes and assignments
Solidifies understanding of course concepts and prepares for assessments.
Show steps
  • Review the notes and assignments from each module.
  • Identify areas where you need additional clarification or practice.
Review 'Natural Language Processing with PyTorch'
Provides a solid foundation for building NLP applications using PyTorch.
Show steps
  • Read chapters 1-3 to understand NLP concepts and PyTorch basics.
  • Complete the exercises at the end of each chapter to reinforce your learning.
Create a chatbot using ChatGPT
Provides hands-on experience in building practical AI applications.
Browse courses on Chatbot Development
Show steps
  • Design the chatbot's functionality and user interface.
  • Integrate ChatGPT API into your chatbot.
  • Test and refine the chatbot's responses.
Show all three activities

Career center

Learners who complete ChatGPT & OpenAI APIs: The Comprehensive Guide will develop knowledge and skills that may be useful to these careers:
AI Engineer
As an AI Engineer, you will be responsible for designing, developing, and deploying AI models. You will need to have a strong understanding of machine learning algorithms, data science, and software engineering. This course will help you build a foundation in these areas and prepare you for a successful career in AI.
Machine Learning Engineer
Machine Learning Engineers are responsible for developing and deploying machine learning models. They work closely with data scientists to identify and solve business problems. This course will help you build a strong foundation in machine learning and prepare you for a successful career as a Machine Learning Engineer.
Data Scientist
Data Scientists are responsible for collecting, analyzing, and interpreting data. They use their findings to help businesses make better decisions. This course will help you build a strong foundation in data science and prepare you for a successful career as a Data Scientist.
Software Engineer
Software Engineers are responsible for designing, developing, and maintaining software applications. They work closely with other engineers and business stakeholders to ensure that software meets the needs of users. This course will help you build a strong foundation in software engineering and prepare you for a successful career as a Software Engineer.
Product Manager
Product Managers are responsible for managing the development and launch of new products. They work closely with engineers, designers, and marketers to ensure that products meet the needs of users. This course will help you build a strong foundation in product management and prepare you for a successful career as a Product Manager.
Business Analyst
Business Analysts are responsible for analyzing business processes and identifying opportunities for improvement. They work closely with stakeholders to gather requirements and develop solutions. This course will help you build a strong foundation in business analysis and prepare you for a successful career as a Business Analyst.
Consultant
Consultants provide advice and guidance to businesses on a variety of topics. They work closely with clients to identify and solve problems. This course will help you build a strong foundation in consulting and prepare you for a successful career as a Consultant.
Technical Writer
Technical Writers are responsible for creating documentation for software and other technical products. They work closely with engineers and other stakeholders to ensure that documentation is accurate and easy to understand. This course will help you build a strong foundation in technical writing and prepare you for a successful career as a Technical Writer.
UX Designer
UX Designers are responsible for designing the user experience for websites and other digital products. They work closely with other designers and engineers to ensure that products are easy to use and meet the needs of users. This course will help you build a strong foundation in UX design and prepare you for a successful career as a UX Designer.
Marketing Manager
Marketing Managers are responsible for developing and executing marketing campaigns. They work closely with other marketing professionals to ensure that campaigns are effective and meet the needs of the business. This course may be helpful in providing a foundation for understanding how AI can be used in marketing.
Sales Manager
Sales Managers are responsible for managing sales teams and developing sales strategies. They work closely with other sales professionals to ensure that sales goals are met. This course may be helpful in providing a foundation for understanding how AI can be used in sales.
Customer Success Manager
Customer Success Managers are responsible for ensuring that customers are satisfied with their products and services. They work closely with customers to identify and resolve problems. This course may be helpful in providing a foundation for understanding how AI can be used in customer success.
Project Manager
Project Managers are responsible for planning, executing, and closing projects. They work closely with other project team members to ensure that projects are completed on time and within budget. This course may be helpful in providing a foundation for understanding how AI can be used in project management.
Operations Manager
Operations Managers are responsible for the day-to-day operations of a business. They work closely with other departments to ensure that the business runs smoothly. This course may be helpful in providing a foundation for understanding how AI can be used in operations management.
Human Resources Manager
Human Resources Managers are responsible for managing the human resources department of a business. They work closely with other departments to ensure that the business has the right people in the right roles. This course may be helpful in providing a foundation for understanding how AI can be used in human resources management.

Reading list

We've selected eight 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 ChatGPT & OpenAI APIs: The Comprehensive Guide.
Comprehensive reference on generative adversarial networks (GANs). Provides a detailed overview of the theory and practice of GANs, making it an invaluable resource for researchers and practitioners working in this field.
Widely used textbook for introductory machine learning courses. Provides a comprehensive overview of the field, covering both theoretical concepts and practical algorithms. Includes numerous exercises and case studies.
Focuses on the business applications of machine learning. Provides real-world examples and case studies, demonstrating how machine learning can be used to solve business problems and improve decision-making.
Comprehensive guide to natural language processing using Python. Provides a solid foundation in the fundamental concepts and techniques of NLP, making it a valuable resource for both beginners and experienced practitioners.
Widely recognized resource for deep learning with Python. Provides a clear and concise introduction to the field, covering fundamental concepts, architectures, and applications. Offers practical guidance on building and training deep learning models.
Serves as a practical guide to machine learning using popular libraries such as scikit-learn, Keras, and TensorFlow. It covers essential concepts and techniques, providing hands-on experience through numerous real-world examples.
Offers a concise and accessible introduction to the fundamental concepts and algorithms of machine learning. It valuable resource for beginners looking to gain a quick understanding of the field.

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