Build JARVIS 3.0 Personal Assistant AI Course
Learn to build a custom AI assistant, JARVIS 3.0, powered by GPT-3. Explore voice recognition, natural language processing, and IoT integration to create an advanced virtual assistant using Python.

What Youβll Learn
This personal assistant AI course will teach you:
- Python and AI Integration: Build a custom AI assistant using Python and explore the intersection of AI and IoT.
- Voice Recognition and NLP: Implement voice recognition and natural language processing to create interactive AI features.
- Hands-on Projects: Gain practical experience by building and deploying various AI-driven projects.
- GPT-3 Integration: Enhance your AI assistant with GPT-3 for advanced natural language processing.
- IoT and Home Automation: Discover how AI can control IoT devices and automate home tasks.
- Advanced AI Features: Integrate cutting-edge technologies like GPT-3 to add sophisticated capabilities to your assistant.
Included in the Personal Assistant AI Course
Suitable for the Following Careers
Course Content
Intro
Development Environment Setup
Python One Shot
Text To Speech
Time + Date Function
Greeting & Wish Me Function
User Input From CMD(Text Input)
Send Email Function
Send WhatsApp Messages Function
Search On Wikipedia Function
Search On Google Function
Play Youtube Videos Function
Weather Updates Function
News Updates Function
Read Selected Text Function
Covid-19 Updates Function
Open Vs Code
Open My Documents Function
Jokes Function
Screen Shot Function
Remember Function
Password Generator Function
JARVIS UI
Flip A Coin Function
Roll A Die Function
NLP
Introduction To GPT3
GPT3 API Access
GPT3 Powered AGI Chat Application
GPT3 Powered AGI Voice Assistant
Add 300+ Natural Voices In JARVIS 2.0
GPT - 3 Integration With JARVIS 3.0
Audio
OPEN FULL CURRICULUM
Requirements
Description of the Personal Assistant AI Course
This course offers an advanced journey into creating a custom AI assistant, JARVIS 3.0, using Python and GPT-3. Youβll start by setting up your development environment, then dive into the core concepts of voice recognition, natural language processing, and IoT integration. Designed for learners with no prior experience, this course provides step-by-step guidance to help you build a fully functional AI assistant that can perform a wide range of tasks.
Throughout the course, you will implement features such as voice commands, email automation, and web searches, all while exploring the powerful language capabilities of GPT-3. This comprehensive course ensures that you not only learn the theory behind AI and NLP but also gain practical skills through hands-on projects.
You will:
- Develop a custom AI assistant using Python and GPT-3.
- Integrate voice recognition and natural language processing for interactive features.
- Explore IoT and home automation through practical applications.
- Customize and enhance your AI with GPT-3βs advanced language capabilities.
- Build and deploy real-world AI-driven projects.
By the end of the personal assistant AI course, youβll be equipped with the knowledge and skills to create your own AI assistant, capable of handling complex tasks and integrating seamlessly with IoT devices.
Who Is This Course For
This personal assistant AI course is for Python developers, IoT and home automation enthusiasts, and individuals interested in creating a personalized AI assistant. Itβs also ideal for those curious about integrating GPT-3 into their AI projects.
Course Instructor
Arbaz Khan is a Computer Science Engineer with expertise in IoT, Python, Data Science, and new technologies. Proficient in C, C++, and Java, Arbaz has a passion for automating tasks using Python, particularly in home automation. He runs his own startup, GetSetCode, which focuses on innovative real-time projects involving AI, ML, IoT, Automation, and Robotics.
As an educator, Arbaz has taught various courses covering advanced AI assistants, generative AI applications, practical Python projects, web development, and artistic skill enhancement.
His teaching emphasizes practical, real-world applications, helping students build intelligent systems and master emerging technologies. Arbaz's dedication to education and innovation makes him a valuable resource for anyone looking to advance in the field of computer science and engineering.
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Testimonials
Farah A.
I have enjoyed studying under Arbaz in his virtual assistant course. His way of teaching is very clear and understandable. For the first time, I have enjoyed coding with Python and have learned a lot. If you are looking to build a cool project while learning, then this is the course for you.
I look forward to more unique projects by Arbaz.
Logan N.
Being an engineer since the late 80's and one who has built several robotic applications since my retirement years, I found this course excellent. It cuts past the boring overviews and just gets straight to what it claims to teach. The instructor is enjoyable to listen to and does respond to questions posed. Well done, and God bless you in your career ahead.
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