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This course includes:

  • 2.5 hours on-demand video
  • 1 article
  • Full lifetime access
  • Access on mobile and TV
  • Assignments
IT & Software Other IT & Software Python

Learn to Build AI assistant like JARVIS using Python

Convert your Computer into AI assistant.
Rating: 4.2 out of 54.2 (358 ratings)
36,265 students
Created by MAK Academy
Last updated 1/2021
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • To build AI assisstant
  • To make chatbots
  • Basics and some Intermediate Concepts of Machine Learning and Artificial Intelligence
  • Python language
  • Automate tasks

Requirements

  • No specific skills are required, just passion to learn something new

Description

Hey There!

Give a moment of your thought to the following question.

  • Want to build your own JARVIS AI Assistant? That can do your binding for you just like in movies.


  • Are you inspired by the cool technology used in the movies?


  • Do you love the AI Assistant used in spy and superhero movies?


If your answer to all of these questions is a big "YESSS!", then this course is right for you and you are in the right place.

After completion of this course, you will learn:


  • How to build chatbots? 


  • How to build an AI Assistant?


  • Learn the basics of Artificial Intelligence. 


  • Learn Basic to Intermediate level python.


  • How to transform your Computer into JARVIS?


  • How to make the Computer do your work?



    Note: If you have any questions related to the course then ask them away in the Discussion Section below.


    Fun Fact: Avengers is acknowledged as one of the biggest franchises ever. Last year, Avengers Endgame became the highest-grossing film of all time beating the Avatar. It included heroes like Iron man, Captain America and Thor. One of the Iron man's power is his advance technology which provides for his personal AI assistant JARVIS.


    I believe that

    "One must get knowledge whenever he is given the opportunity."


    Knowledge must be shared as It is our sacred duty.


    Till the next time,

    Happy learning!

Who this course is for:

  • Anyone who has a little passion for Computer Science, Artificial Intelligence and Machine Learning

Course content

26 sections • 35 lectures • 2h 17m total length

  • Preview01:55

  • Preview04:54
  • To be Sure!!!
    3 questions

  • Hello world
    02:22
  • Preview01:06
  • Speak Function Quiz
    1 question

  • Time Function
    03:00
  • Date Function
    02:03

  • Wish-me Function
    03:46

  • Take Command Function
    06:32

  • Preview03:20

  • Wikipedia Function
    04:36

  • Email Function
    06:45

  • Preview05:14
  • Searching Youtube
    05:31
  • Searching Google
    03:02

Instructor

MAK Academy
Artificial Intelligence and Machine learning Engineer
MAK Academy
  • 4.2 Instructor Rating
  • 358 Reviews
  • 36,265 Students
  • 1 Course

I spend most of my time as artificial intelligence and machine learning engineer with a focus on applying AI to everyday life, although I have also been known as a data scientist, graphic designer and software engineer on the free-lancing platform.

I received my bachelor's degree in mechatronics engineering with a special interest in machine learning and robotics.

I am a self-taught programmer. So I am well aware of all of your problems because I have faced them myself. I have a firm grip over many programming languages like scratch, c++ and python.

I've created deep learning models to predict click-through rate and user behaviour, as well as for image and signal processing and modelling text.

I have created chatbots for many local businesses which include food shops and local factories. I have also done graphic designing jobs for many businesses.

I have taught undergraduate and graduate students in statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as NUST, AIR University, Comsats and many other.

Multiple local businesses have been benefitted from my web programming expertise. I do all the backend (server), frontend (HTML/JS), and deployment work. Some of the technologies I've used are Python, Ruby/Rails, PHP and jQuery (Javascript). For storage/databases, I've used MySQL and  MongoDB.

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