Learn Artificial Intelligence by Creating JARVIS in Python.

Learn Artificial Intelligence by Creating JARVIS in Python., available at $59.99, has an average rating of 4.56, with 38 lectures, 5 quizzes, based on 8 reviews, and has 67 subscribers.

You will learn about Python Programming Language Basics. Neural Network Basics. Deep Learning Basics. Automating Your Daily Tasks With Python. Creating a Real A.I That Makes Its Own Decisions. This course is ideal for individuals who are Friendly For Total Beginners. or For Anyone Who Has Some Experience With Python, But Wants To Learn A.I. It is particularly useful for Friendly For Total Beginners. or For Anyone Who Has Some Experience With Python, But Wants To Learn A.I.

Enroll now: Learn Artificial Intelligence by Creating JARVIS in Python.

Summary

Title: Learn Artificial Intelligence by Creating JARVIS in Python.

Price: $59.99

Average Rating: 4.56

Number of Lectures: 38

Number of Quizzes: 5

Number of Published Lectures: 38

Number of Published Quizzes: 5

Number of Curriculum Items: 43

Number of Published Curriculum Objects: 43

Original Price: 22.99

Quality Status: approved

Status: Live

What You Will Learn

Python Programming Language Basics.

Neural Network Basics.

Deep Learning Basics.

Automating Your Daily Tasks With Python.

Creating a Real A.I That Makes Its Own Decisions.

Who Should Attend

Friendly For Total Beginners.

For Anyone Who Has Some Experience With Python, But Wants To Learn A.I.

Target Audiences

Friendly For Total Beginners.

For Anyone Who Has Some Experience With Python, But Wants To Learn A.I.

In this course you will learn how to create an A.I Voice Assistant that makes it’s own decisions from SCRATCH. We are going to use Python 3 programming language and we are going to create various tasks for our program to execute. Every task will be controlled by voice. Whole Assistant is going to be driven by two different A.I models and even those will be created by us using two different datasets. The best part is that you don’t need any programming knowledge to start and by the time you finish, you will pick up some basic and intermediate programming knowledge from this course.

Our Assistant will be able to:

1. Decide by itself what we are asking it to do.

2. Recognize which sounds are environmental ones and which sounds are the commands.

3. Handle any error that occurs in the program while running. This will work like a “bullet-proof” corpus to save our program from crashing.

4. Execute multiple tasks at once.

5. Tell the current time, day, month and date.

6. Play YouTube videos.

7. Play any song on your computer.

8. Execute shutdown, restart or sleep commands on your computer.

9. Close applications.

10. Search on Google.

11. Find information on Wikipedia.

12. Tell the news based on a wanted topic.

13. Tell the current weather.

14. Host mini-games like blackjack and guess-based mini-games that we are going to create by ourselves.

15. Create reminders and remind when asked.

16. Open applications which are in your OS system’s path.

17. Take and save screenshots.

18. Read your wanted text for you.

And more

So what are you waiting for? Enroll now!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction.

Chapter 2: Getting Started.

Lecture 1: Installing VS Code.

Lecture 2: Installing Python programming language.

Lecture 3: Pythons libraries installation.

Chapter 3: Tasks #1

Lecture 1: Speech.

Lecture 2: Error Handling.

Lecture 3: Time.

Lecture 4: Day.

Lecture 5: Month.

Lecture 6: Date.

Lecture 7: Coinflip Game.

Lecture 8: Dice Roll Game.

Lecture 9: Jokes.

Lecture 10: Blackjack Game.

Chapter 4: Setting Up The Input.

Lecture 1: Input by Microphone.

Chapter 5: Tasks #2

Lecture 1: Repeat Me.

Lecture 2: Google Search.

Lecture 3: YouTube.

Lecture 4: Wikipedia.

Lecture 5: Screenshots.

Lecture 6: Calculator.

Lecture 7: Volume Control.

Lecture 8: Read This.

Lecture 9: Task Manager Automation.

Lecture 10: Reminders.

Lecture 11: Routines.

Lecture 12: Smart App Opener.

Lecture 13: News.

Lecture 14: Weather.

Chapter 6: A.I For Commands.

Lecture 1: Creating The Dataset.

Lecture 2: Training.

Chapter 7: A.I For Wake Word.

Lecture 1: Creating The Dataset.

Lecture 2: Processing Data.

Lecture 3: Training.

Chapter 8: Putting Everything Together.

Lecture 1: Implementing The Commands Model.

Lecture 2: Multiple Tasks.

Lecture 3: Implementing The Wake Word Model.

Chapter 9: Conclusion.

Lecture 1: Conclusion.

Instructors

Laurence Volskis
IoT, Automation and A.I enthusiast.

Rating Distribution

1 stars: 0 votes

2 stars: 0 votes

3 stars: 1 votes

4 stars: 2 votes

5 stars: 5 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!