$14.00 USD


Deep Dive into Raspberry Pi & OpenCV AI Kit (OAK) Course

Immerse yourself in the captivating world of Edge AI with our comprehensive Raspberry Pi + OpenCV AI Kit course.

  1. ๐ŸŽฏ In-depth Learning: Dive deep into RPi+ OpenCV AI Kit, gaining comprehensive insights from introduction to application.

  2. ๐Ÿ› ๏ธ Exciting Projects: Get hands-on with a variety of unique projects including:

    • App1 - Raspberry Pi Intruder Alert Camera
    • App2Social Distance Detection System
    • App3Mask Detection with Stepper Motor Access Control
    • App4 Pan Tilt Tracking OpenCV AI Kit
    • App5 Sign Language Detection
    • Case Study - Autonomous Person Tracking Drone
  3. ๐Ÿงช Hands-on Experience: Turn theory into action with real-world practical application examples & engaging projects.

  4. ๐Ÿ”ฌ Cutting-Edge Knowledge: Master advanced projects like the Autonomous Person Tracking Drone using the OpenCV AI Kit.

  5. ๐Ÿค– Raspberry Pi Integration: We provide specific lessons on integrating OAK with Raspberry Pi, a vital tool in AI and machine learning.

  6. ๐ŸŒŸ Future-Ready Skills: Acquire in-demand skills in AI and machine learning, securing a spot at the forefront of the future.

Add this course to your checkout and become an Edge AI maestro today!

Get it all for $19 Once Off [Normally $379

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YOLO-NAS + v8 Nano

You are almost there, please fill in the relevant views and then get really excited to embark on your AI in Computer Vision Journey with YOLO-NAS!

What you'll get:

YOLO-NAS & v8 NANO Course


  • [Module 1] INCLUDED
    YOLO-NAS + v8 Introduction
  • [Module 2] INCLUDED
    Training Custom YOLO-NAS + v8
  • [Module 3] INCLUDED
    Object tracking on YOLO-NAS+v8
  • [Module 4] NOT INCLUDED
    Model Conversion 
  • [Module 5] NOT INCLUDED
    YOLO-NAS + 8 Flask Integration
  • [Module 6]  NOT INCLUDED
    YOLO-NAS + v8 Flask App
    • Retail Heatmaps
    • Mining Safety Check
    • Plastic Waste Detection
    • Smoke Detection
    • GS-CO Gaming Aimbot
  • [Module 7] NOT INCLUDED 
    Mobile Development Using Kivy
    • Introduction to Mobile Development
    • Setting up Kivy Application
    • Setting up a Dashboard
    • Integrating YOLO-NAS + v8 with Kivy
    • Conversion to TFlite
    • Widgets and Buttons in Kivy
    • Deployment and Testing
    • Building and distributing the app
    • Updating the UI/UX and wireframes for the App
  • [Module 8] NOT INCLUDED
    Mobile Apps
    • Document Scanner
    • Sign-language Recognition
    • People Counting over Time
    • Bar Graph Widget Visualization
  • [Module 9] NOT INCLUDED
    Object Segmentation
    • Introduction to Object Segmentation
    • Setting up the Object Segmentation model
    • Data Collection, Annotation and Health checker
    • Data Pre-processing and Augmentation
    • Training on GPU and deployment
    • Crack detection and measuring the pixel size
    • YOLO-NAS + SAM Segmentation 


  •  WhatsApp Community
  • 5000 free tokens for our AI GPT Mentor for24/7 Support Computer Vision 
$ FREE $
  • Want to be ahead of your Competition - Whether it may be a colleague or contractor.
  • If you are competing for a job, promotion or client. YOLO-NAS will give you the edge over your competitors. 
  • Have been stuck in AI and Computer Vision and seeing little to no change.
  • Are TIRED of wasting time on StackOverflow and with endless debugging.
  • Want a shortcut to learning AI in computer vision and become an expert AI in Computer Vision developer.
  • Don't have a lot of time to spend days/weeks debugging your app.
  • Want a fast and easy approach to learning AI-CV and reducing your time to market.



What People Are Saying:

Simply Amazing! Explained the difficult concepts, very well. Also I'm so glad I found your tutorials on YOLOR it saved me a lot of time. Thank you!

Gur Raunaq

This course is very informative. There is so much in the course that you can use a lot of it in real world. The main reason I wanted to take it was cause trails. I see many areas to use trails at. I recommend if you haven't taken it, you should.

Timothy Goebel - Principal Specialist AI and Data

Ritesh is truly one of the most Intelligent and resources Individuals I have ever met and collaborated on activities with. He is always enthusiastic about taking on challenges and providing actionable and effective solutions, whether it be in the field of Computer Vision, graphics, and Machine learning for practical applications, or it is in any other field where an innovative approach to problem-solving is Indispensable. Most impressive and inspirational are his Communication, Interpersonal, and leadership skills that accentuate his technical expertise in the fields of AI and ML for Machine vision applications. These qualitative and quantitative skills and traits he possesses, positions him well to thrive in any endeavour and environment.

Emmanuel Oluga -Healthcare | Musculoskeletal Care | Computer Vision | Cloud Native | Graduate Research Assistant at Medical Design Innovations Lab | The University of Texas at San Antonio

Without a doubt the best content for computer vision I have worked through, detailed but simple. An actual step by step guide which provides a sound understanding of the underlying technology. Ritesh provides his content in a fun clear way and has built an excellent community of passionate people around him.

Sean Kelly - Senior D365 Developer at Mint Group

Mr. Ritesh is one of the most delightful and passionate people I had the pleasure of learning from in my career. Not only does he have a unique ability to deliver concise curriculums for teaching Computer Vision and Deep Learning, but his constant communication and subtleness online in making resources available is beyond words! His ability to deliver materials and exceptional training in the area of practical Computer Vision and Deep Learning is something that will always leave a positive impact. I highly recommend working with Mr. Ritesh.

Clinton Anani - Building the next generation of AI-Powered Food Growers

Hi Ritesh, I noticed you've been tagging me in some of your recent posts. Great demos!

Adrian Rosebrock - Former Founder/CEO at PyImageSearch.com

Thanks for sharing! Thank you to both of you for this cutting edge course material. To people interested in the course I would highly recommend it, there are so many other fantastic projects/apps in the YOLOR course and the online support was excellent

Chris Berry - Data Scientist at Alfred Health

That's great! I am looking forward to more news from you on that. I have started the YOLOR PRO course and so far I am very satisfied. Thank you for putting it all together.

Marita Georganta - CTO of PandionAI - MSc Space Upstream Student

I found out about Ritesh and augmentedstartups.com in august 2021. As a heavy learner I was looking for the best possible resource able to link in a smooth way, the huge volume of information inside Computer Vision field and practical tools to allow me to touch real-life problems. Now after almost 4 months and more than 300 hours of practice inside his models and ideas I can say that Ritesh was born to be a great teacher. His level of know-how/his presentations are very deep and extremely wide, he is kind and funny, a great professional, a bright mind, an unbelievable teacher. I will remain his student regardless of my level of knowledge. For me it is a great honor to be both his friend and his student...

Dragos Stan - CEO within the Consultancy practice of Businessdata Systems Romania