Original price was: $399.00.$90.00Current price is: $90.00.
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Purchase this course you will earn 90 Points worth of $9.00Learn how to Professionally Develop AI apps in Computer Vision
From Training to Inference, Step-by-Step.
Ultimate AI-CV Practitioners Pro is the complete course for anyone who wants to learn how to professionally develop AI apps. From this course you will be able to build apps using Object Detection, Object Segmentation, Pose Estimate and deploy your apps to Android devices.
Course Information
Here is a break down of the course structure, check out how you will benefit from this training:
So as you can see from the features mentioned above, that you can save a tremendous amount of time. In this course, we accelerate your AI expertise in the most commonly-used models, and we have designed this training to reduce debugging, speed up your time to market and get you results sooner. We have partnered up with Geeky Bee AI to bring you the State-of-the-Art in AI.
Section 1 orientates you on how to achieve the best course experience. Sections 2 and 3 delve into the most popular AI-CV models such as YOLO v3 (Object Detection) and Mask RCNN (Instance Segmentation). They both follow the same 5-step workflow that you will learn about in this course.
Here are some of the cool Python Apps that you will be building in Section 4 on Pose Estimation using OpenPose:
Section 5 is one of the most exciting in which we’ll combine the knowledge learnt in previous sections and port our AI-CV apps to Android using TensorFlow-Lite. This section is still in development and will be completed in early 2020. Once completed this course will contain over 50+ value packed tutorials!
Bonuses:
Bonus 1 – Bonus AI Lectures
Bonus 2 – Accelerate Deep Learning on a Raspberry Pi Course [FREE]
Get FREE access to the course that will show you how to accelerate your AI Object Detection models 5X faster on a Raspberry Pi 3, using Intel Movidius for Deep Learning.
Bonus 3 – Build your own E.D.I.T.H. Glasses AI from Spiderman (Far From Home)
Project E.D.I.T.H. shows you how to prototype the AI that Tony Stark handed down to Peter Parker. Put your self in the shoes of a superhero as we prototype Stark-Tech.
Bonus 4 – Private Community Mentorship
Instant access to the private Facebook group of other course creators to receive professional and peer mentoring.
Get a Career Boost with a Certificate of Completion
Upon completing 100% of this course, you will be emailed a certificate of completion. You can show it as proof of your expertise and that you have completed a certain number of hours of instruction.
Lifetime Access
Instant access to ALL the content FOR LIFE! And the content just keeps coming as Ritesh and Geeky Bee AI are constantly learning and sharing!
Money-Back Guarantee
The course comes with an unconditional, 30-day money-back guarantee. This is not just a guarantee, it’s my personal promise to you that I will go out of my way to help you succeed just like I’ve done for thousands of my other students.
Even if you don’t love this course and you’re on the 29th day, 23rd hour, 59th minute, and 59th second… I’ll give you your money back.
Let me help you get fast results. Enroll now, by clicking the button and let us show you how to Develop AI-CV Apps using in Python and Android.
***Important Notes***
- This is a practical-focused course. While we do provide an overview of AI-CV theory, we focus mostly on helping you getting AI in Computer Vision working step-by-step.
- Course Price will increase on the first of July 2020 to $499 due to updated content. – Enroll in this training before the price increase!
- You will require a PC/Laptop with adequate specifications and an Nvidia GPU that supports CUDA – This will not work on any other GPU – See free lecture called requirements for more details.
Your Instructor
I am the founder of Augmented Startups and I also hold a Masters Degree in Electronic Engineering. With over 63’000+ students on Augmented AI Bootcamp, and over 79’000 subscribers on YouTube, I teach the latest topics on Artificial Intelligence and Augmented Reality I will act as your mentor through helping you build or grow your expertise, we look forward to having you!
Course Curriculum
Introduction to Ultimate AI-CV
Introduction to Ultimate AI-CV Pro
Course Requirements
How to Join the Private FB Group
Module 1 – YOLO v3 – Robust Deep Learning Object Detection in 1 hour
1.1 – Yolo V3 Intuition (12:10)
1.2 – Execute Yolo V3 (8:50)
1.3 – 4 Steps to Setting up a Supervisely Deep Learning Cluster (9:32)
1.4 – How to Web Scrape Images for your Dataset like a PRO! (6:21)
1.5 – The Best Way to Annotate your Dataset (4:22)
1.6 – How to let the AI Annotate your Dataset for you – Human in the Loop Annotation (2:49)
1.7 – Got Little Data? No Problem! Data Augmentation to the Rescue ? (4:28)
1.8 – How to Train a Yolo V3 Network (5:04)
1.9 – A Quick and Easy Method Deploying your Custom Object Detector after Training (6:37)
1.10 – How to Record video, change bounding box color and add confidence percentage (5:32)
1.11 – Cleaning up you Supervisely Cluster and Cluster Maintenance (1:37)
Module 2 – Mask R-CNN – Robust Deep Learning Segmentation in 1 hour
2.1 – Mask R-CNN Intuition (10:07)
2.2 – Anaconda Install and Setup for Mask RCNN (1:57)
2.3 – Installing the requirements, dependencies (10:56)
2.4 – Real-time Mask RCNN – How to execute like a boss. (5:32)
2.5 – Set up Supervisely Cluster (9:32)
2.6 – Annotating Images (8:10)
2.7 – Data Augmentation (4:38)
2.8 – How to Train a Mask RCNN model (5:50)
2.9- How to Deploy a Custom Mask RCNN after Training (3:55)
2.10 – Segmentation Area Analysis – How to Count Potholes and its Area Size (2:55)
Module 3 – Pose Estimation Master Class using OpenPose Framework
3.1 – OpenPose Intuition & How it Works (11:07)
3.2 – OpenPose Github Repository
3.3 – Setup & Execution of Pose Estimation (5:30)
3.4 – App 1 : People Counter using Open Pose (4:26)
3.5 -App 2 : Fall Detection (6:52)
3.6 – App 3 : Yoga Pose Angle Corrector (6:44)
3.7 – App 4: Plank Pose Recongition (7:41)
3. 8 – App 5 : Body Ratio Calculator (6:52)
3.9 – App 6 : OpenPose in Unity [UPDATED!!] (6:04)
Module 4 – AI Android Development
4. Introduction to AI Development on Android – TensorFlow Lite (6:01)
4.1 – Data Collection, Cleaning & Annotation (non-supervisely solution)
4.2 – Data Training [Coming Soon]
4.3 – Data Validation [Coming Soon]
4.4 – Data Testing [Coming Soon]
4.5 – Frozen graph & model generation in Tensorflow [Coming Soon]
4.5.1 – Convert to TFLite Model (TOCO API) [Coming Soon]
4.5.2 – Tensorflow Lite Basics [Coming Soon]
4.5.3 – Import Tensorflow in Gradle [Coming Soon]
4.6 – Project Setup and Run Inference on Android [Coming Soon]
4.6.1 – Object Detection – Selecting between image, video or live camera [Coming Soon]
4.6.2 – Adding logic to AI on Android [Coming Soon]
4.6.3 – App 1 [Coming Soon]
4.6.4 – App 2 [Coming Soon]
Project E.D.I.T.H. – Spiderman (Far from Home) AI Glasses [BONUS]
Phase 1 – AI Face Detection in Unity (9:36)
Phase 2 – Facial Recognition (17:09)
Phase 3 – Object Detection (19:49)
Phase 4 – AI Assistant Text to Speech (TTS) & Speech to Text (STT) (18:18)
Phase 5 – IoT using AI Assistant (11:53)
Phase 6 – Android Integration of Project E.D.I.T.H. (10:00)
Phase 7 – AR Glasses Integration of AI Capabilities [Coming Soon]
Bonus Section
B1 – Artificial Neural Networks (18:30)
B2 – Convolutional Neural Network (11:17)
B3 – Recurrent Neural Networks (12:22)
B4 – FREE Accelerated Deep Learning on Raspberry Pi Course
Access download Ritesh Kanjee – Ultimate AI-CV Practitioners Pro at Forimc.com right now!
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