JARVIS AI 3.0 GPT3 Based AGI Virtual Assistant

JARVIS AI 3.0 GPT3 Based AGI Virtual Assistant, available at $54.99, has an average rating of 4.35, with 46 lectures, based on 29 reviews, and has 247 subscribers.

You will learn about Learn to Build a Custom Artificial Intelligence Assistant using Python Explore the Use of Python in Developing AI Assistants Discover the Intersection of IoT and Home Automation through Developing an Advanced AI Assistant (JARVIS 2.0) Gain Hands-on Experience in AI, Natural Language Processing, IoT, and Home Automation through a Case Study Enhance your AI Assistant with GPT-3's powerful language capabilities Integrate GPT-3 into your AI Assistant for advanced Natural Language Processing capabilities This course is ideal for individuals who are Python Developers new to Artificial Intelligence looking to learn more or IoT & Home Automation beginners with an interest in Arduino development or Individuals with no prior experience, but curious about building a personalized AI assistant or Existing Python Developers interested in incorporating AI into their skill set or Enthusiasts of GPT-3 looking to implement it in their AI projects It is particularly useful for Python Developers new to Artificial Intelligence looking to learn more or IoT & Home Automation beginners with an interest in Arduino development or Individuals with no prior experience, but curious about building a personalized AI assistant or Existing Python Developers interested in incorporating AI into their skill set or Enthusiasts of GPT-3 looking to implement it in their AI projects.

Enroll now: JARVIS AI 3.0 GPT3 Based AGI Virtual Assistant

Summary

Title: JARVIS AI 3.0 GPT3 Based AGI Virtual Assistant

Price: $54.99

Average Rating: 4.35

Number of Lectures: 46

Number of Published Lectures: 45

Number of Curriculum Items: 46

Number of Published Curriculum Objects: 45

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Learn to Build a Custom Artificial Intelligence Assistant using Python
Explore the Use of Python in Developing AI Assistants
Discover the Intersection of IoT and Home Automation through Developing an Advanced AI Assistant (JARVIS 2.0)
Gain Hands-on Experience in AI, Natural Language Processing, IoT, and Home Automation through a Case Study
Enhance your AI Assistant with GPT-3's powerful language capabilities
Integrate GPT-3 into your AI Assistant for advanced Natural Language Processing capabilities

Who Should Attend

Python Developers new to Artificial Intelligence looking to learn more
IoT & Home Automation beginners with an interest in Arduino development
Individuals with no prior experience, but curious about building a personalized AI assistant
Existing Python Developers interested in incorporating AI into their skill set
Enthusiasts of GPT-3 looking to implement it in their AI projects

Target Audiences

Python Developers new to Artificial Intelligence looking to learn more
IoT & Home Automation beginners with an interest in Arduino development
Individuals with no prior experience, but curious about building a personalized AI assistant
Existing Python Developers interested in incorporating AI into their skill set
Enthusiasts of GPT-3 looking to implement it in their AI projects

Welcome to the JARVIS AI 3.0 course! This advanced course is designed for those who are interested in building and training their own artificial intelligence (AI) virtual assistant using the latest GPT-3 technology.

Throughout the course, you will learn how to create and program a virtual assistant called JARVIS that can understand and generate human-like language, perform a wide range of tasks, and hold intelligent conversations. Some of the capabilities you will be able to teach JARVIS include scheduling and calendar management, email and messaging, internet searches and data lookup, translation, and task automation.

To build and train your JARVIS AI, you will need to have a basic understanding of natural language processing, machine learning, and API development. These concepts will be covered in the course, so no prior knowledge is required. However, having some programming experience will be helpful.

Upon completing the JARVIS AI 3.0 course, you will have a fully functional, GPT-3 based AI virtual assistant that you can use in your personal or professional life. Whether you are a beginner to AI or an experienced developer, this course has something to offer. Join us and learn how to create your own intelligent virtual assistant with JARVIS AI 3.0!

What is AGI?

Artificial General Intelligence (AGI) is a type of artificial intelligence that is capable of understanding or learning any intellectual task that a human being can. It is also referred to as “strong AI” or “human-level AI.”

The goal of AGI is to create a machine that has a level of intelligence comparable to that of a human being and can perform any intellectual task that a human can. This includes tasks such as learning, problem-solving, decision-making, and adapting to new situations.

AGI is different from narrow AI, which is designed to perform a specific task or set of tasks but is not capable of adapting to new tasks or situations. Some examples of narrow AI include virtual assistants, language translation tools, and self-driving cars.

AGI is still in the realm of science fiction and is not yet a reality. However, researchers and scientists are working towards developing AGI, and some believe that it may be achievable in the future.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: JARVIS 3.0 In Action

Chapter 2: Development Environment Setup

Lecture 1: Development Environment Setup

Lecture 2: Development Environment Setup For Mac OS

Chapter 3: Python One Shot

Lecture 1: Python Under 90 Minutes

Chapter 4: Text To Speech

Lecture 1: Text to Speech Basics

Lecture 2: Text to Speech CMD

Chapter 5: Time + Date Function

Lecture 1: Time Function

Lecture 2: Date Function

Chapter 6: Greeting + Wishme Function

Lecture 1: Greeting Function

Lecture 2: Wishme Function

Chapter 7: User Input From CMD(Text Input) / Mic (Audio Input)

Lecture 1: TakeCommandCMD Function

Lecture 2: TakeCommandMIC Function

Chapter 8: Send Email Function

Lecture 1: Send Email Function – I

Lecture 2: Send Email Solution

Lecture 3: Send Email Function – II

Chapter 9: Send What's App Messages Function

Lecture 1: Send What's App Messages

Chapter 10: Search On Wikipedia Function

Lecture 1: Search On Wikipedia

Chapter 11: Search On Google Function

Lecture 1: Search On Google

Chapter 12: Play Youtube Videos Function

Lecture 1: Play Youtube Videos

Chapter 13: Weather Updates Function

Lecture 1: Weather Updates

Chapter 14: News Updates Function

Lecture 1: News Updates

Chapter 15: Read Selected Text Function

Lecture 1: Read Selected Text

Chapter 16: Covid-19 Updates Function

Lecture 1: Covid-19 Updates

Chapter 17: Open Vs Code

Lecture 1: Open Vs Code

Chapter 18: Open My Documents

Lecture 1: Open My Documents

Chapter 19: Jokes Function

Lecture 1: Jokes Function

Chapter 20: Screen Shot Function

Lecture 1: Screen Shot

Chapter 21: Remember Function

Lecture 1: Remember Function

Chapter 22: Password Generator

Lecture 1: Password Generator

Chapter 23: JARVIS UI

Lecture 1: JARVIS UI

Chapter 24: Flip A Coin

Lecture 1: Flip A Coin

Chapter 25: Roll A Die

Lecture 1: Roll A Die

Chapter 26: NLP

Lecture 1: NLP

Chapter 27: Introduction To GPT3

Lecture 1: Introduction To GPT3

Chapter 28: GPT3 API Access

Lecture 1: GPT3 API Access

Chapter 29: GPT3 Powered AGI Chat Application

Lecture 1: GPT3 Powered AGI Chat Application

Lecture 2: User Input For AGI Chat Application

Lecture 3: Chat Application Web Interface

Chapter 30: GPT3 Powered AGI Voice Assistant

Lecture 1: GPT3 To Speech

Lecture 2: Voice AGI Assistant

Chapter 31: Add 300+ Natural Voices In JARVIS 3.0

Lecture 1: Add 300+ Natural Voices

Chapter 32: GPT – 3 Integration With JARVIS 3.0

Lecture 1: GPT – 3 Integration With JARVIS 3.0

Lecture 2: GPT – 3 Integration With New Voices

Chapter 33: Conclusion

Lecture 1: Conclusion

Instructors

Arbaz Khan
Artificial Intelligence Enthusiast || Python Developer

Rating Distribution

1 stars: 0 votes
2 stars: 3 votes
3 stars: 4 votes
4 stars: 5 votes
5 stars: 17 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!

Menu