HOW YOU CAN BE A PRO AI DEVELOPER IN COMPUTER VISION IN 30 DAYS
Learn & Implement Object Detection, Instance Segmentation, Pose Estimation, Android AI in 30 Days with my Comprehensive AI Course in Computer Vision...
Here's the hard truth about becoming a developer in AI that no one will tell you...
I started out wanting to learn AI in computer vision...
... I used to check a lot of GitHub repos, they were very vague and required for me to be competent in software development/programming and understand all of the jargon –
Now even though I have a masters degree in electronic engineering. It was still challenging for me to figure out. I had a lot of questions like...
- ...What to do to get my code working?
- Do I have the right hardware
- Windows or Linux – If linux, do I use Ubuntu, Red Hat, CentOS, ROS
- If Ubuntu, what version 16.04, 18.04, What kernel do I need?
- If I am training, what format does my dataset need to be in?
- Do I use Python or C++
- If python What dependencies do I need?
- Which frameworks do I use? PyTorch, Tensorflow 1.0 or 2.0
- What commands do I type to infer or train a convolutional neural network
- How big my dataset needs to be?
- How do I run on GPU, and does my GPU support the framework?
I was unsure of what to do. Sometimes I would look at the instructions and because the instructions were so vague, I would skip to the next repo and the next, until I found one that resonates with me or one that had a clear set of instructions that I could understand and follow, or had a video tutorial on it.
And video tutorials on this particular topic are very scarce.
The other problem was, I would follow the instructions, but I would run in trivial issues, like not having the correct dependencies or I did not have the correct hardware or OS etc. When things don’t work. This would beat me down and make me loose confidence of whether or not this repository would work. Now I had 2 options, I could either spend tons of hours searching the web to debug the issue or move on to the next repo which also may or may not work.
Then, I thought, if me with a masters degree in electronic engineering had all these issues with getting started in AI, surely other people would be having this same issue as me. People such as:
- Non-programmers/non computer science ,
- Hobbyists, Students, researcher, employees.
- People starting out in AI....
But by Following my Step-by-Step Course in AI-Computer Vision, you could:
Solve Problems
Solve Practical Problems in AI using the computer vision tools. Train your own custom networks
Certainty
Know exactly what hardware, OS, version, tool, Frameworks and commands to use.
Reduced Debugging
Reduce your debugging, because we've already gone through the pain-staking process for you.
Improved Skills
Become skilled in AI so that you are able to charge your clients premium pricing.
Employment
Be more likely to get a job because you have the practical skills and tools that I teach in the course to get you ahead of your competition.
Workflow
Implement an Optimized AI workflow that I use personally, which can accelerate your processes, thus enhancing your productivity.
Guidance
Practice as you learn step-by-step. This course is designed to make AI easy, through tried and tested training that saves you time.
Surety
Be certain that this course will help you or your money back. We also have an exclusive tribe to ask questions and get answers.
Okay So... "Is this Course right for me?"
This course is for developers, researchers, and students who have at least some programming experience and want to become proficient in AI for computer vision & visual recognition.
Maybe you:
✔️ Are a computer vision developer that utilizes and are eager to level-up your skills.
✔️ Have experience with machine learning and want to break into neural networks or AI for visual understanding.
✔️ Are a scientist looking to apply deep learning + computer vision algorithms to your research.
✔️ Are a university student and want more than your university offers (or want to get ahead of your class).
✔️ Utilize computer vision algorithms in your own projects but have yet to try deep learning.
✔️ Used AI in projects before, but never in the context of analysis of visual perception.
✔️ Write Python/ML code at your day job and are motivated to stand out from your coworkers.
✔️ Are a "AI hobbyist" who knows how to program and wants to tinker with DIY projects using computer vision.
✔️ You understand that this requires hard work and patience to get the right skills. You understand that you’re going to get any results overnight.
✔️ You’re someone that believes in taking action. You watch the material and then you actually APPLY it.
If any of these descriptions fit you, rest assured: you're the target student.
I designed this course just for you.
Learn 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 Estimation and deploy your apps to Android devices.
Course Information
Here is a break down structure of this 15+ hour course, 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 [YOLO V4 Coming Soon] (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 over 15+ hours!
Here's some of the things you will learn:
Module 1
Object Detection - YOLO v3
Learn how to setup Python and relevant dependencies which are necessary for execution of the mode. We then use YOLO v3 to execute a pre-trained Object Detection model in real-time. [YOLOv4 coming soon]
Module 2
Instance Segmentation - MASK RCNN
Take AI-CV further with Object Segmentation with which you'll design your own custom model using the the popular Mask RCNN.
Module 3
Pose Estimation - OpenPose
Ever wanted to create your own Pose Estimation apps? We show you how to create 5 OpenPose Apps, step-by-step.
Module 4
Android AI
Learn how to take the power of AI to mobile devices. This section teaches you how to develop AI-CV apps on Android devices.
Private AI Facebook Group
Superior Support Forum
Instant access to the private Facebook group of other course creators to receive professional and peer mentoring.
PLUS... IF YOU PURCHASE TODAY, YOU WILL ALSO GET THIS FAST ACTION BONUSES WORTH $546
Bonus 1 - Neural Networks Fundamentals Nano-Course
This Nano-course teaches you the basics of Neural Networks. It include 3 forms of Artificial Neural Network architectures that are commonly used in AI industry and research. [$99 Value]
Bonus 2 - Accelerate Deep Learning on a Raspberry Pi Course
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 the Intel Movidius for Deep Learning. [$149 Value]
Bonus 3 - Build your own E.D.I.T.H. Glasses AI from Spiderman Course
Project E.D.I.T.H. shows you how to prototype the AI that Tony Stark handed down to Peter Parker in Spiderman (Far from Home). Put your self in the shoes of a superhero as we prototype Stark-Tech in this course. [$199 Value]
Bonus 4 - YOLOv4 PRO Object Detection Starter Bundle Course
Get FREE access to the YOLOv4 Starter Bundle course that will show you how get started with YOLOv4 and how to develop apps for Social Distancing and tracking with DeepSORT. [$199 Value]
JUST IMAGINE, 30 DAYS FROM NOW IF...
Imagine, if a week from now, once you have completed this course, that you are able to implement and train your own custom Convolutional Neural Networks (CNN's). Imagine all the applications you could do with these skills!
You could be take your new found expertise and be:
- Solving real world problems,
- Freelancing AI projects,
- Getting that job/opportunity in AI,
- Tackling your research guns blazing!
- Saving time, money, &
- Wishing you had done this course sooner.
The world is your oyster... Ask yourself...What cool things would you do once you have skills in AI?
TRY OUT THIS ULTIMATE AI-CV PRO COURSE FOR A COMPLETE 30 DAYS, 100% RISK-FREE
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!
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.
I want to make it really easy for you - take the course and try for yourself.
If you don’t love the course or don’t see ANY results, email me, show me you did the work, and I’m going to refund you 100% of your money back!
As simple as that.
Capiche?
Object Detection
Instance Segmentation
Pose Estimation
Android
HERE'S WHAT YOU GET:
- 📹 15+ Hours AI in Computer Vision Course
- 👨💻 Module 1 - Object Detection [$199]
- 👨💻 Module 2 - Instance Segmentation [$199]
- 👨💻 Module 3 - Pose Estimation [$249]
- 👨💻 Module 4 - Android AI [Coming Soon]
- 📚 [Bonus 1] Neural Networks Fundamentals [$99]
- 💻 [Bonus 2] Accelerate Deep Learning on Raspberry Pi [$149]
- 😎 [Bonus 3] Project EDITH Smart Glasses AI Development [$169]
- 📙 [Bonus 4] YOLOv4 Starters Bundle [$199]
- 👨👩👧 Exclusive AI Facebook Community
- 🛠️ Private Assessment-based Support Forum - Find solutions to common issues [$79]
- ✅ Lifetime Access (Any device, Anywhere)
THAT’S A TOTAL VALUE OF $1342. NORMALLY I WOULD OFFER IT FOR $1279, BUT INNOVATORS AND EARLY ADOPTERS GET IT ALL THIS WEEK FOR A STEAL PRICE OF JUST $297.
$297
Offer Valid For:
If you have any questions or concerns about the course, contact us below. We're happy to help.
DON'T TAKE MY WORD FOR IT,
HERE'S WHAT PEOPLE ARE SAYING ABOUT MY COURSE & YOUTUBE CHANNEL
.
NOW YOU HAVE TWO CHOICES...
OPTION 1 - GO AT IT ALONE
You can take this knowledge and try to do it by yourself, without a system or a coach. You can waste time debugging, browsing Stack Overflow and Github for that perfect repo that will solve your problems. There is also chance that you may even go backwards. Watch the days go by and wonder “what if…”.
Worse, you’ll watch other people succeed while you struggle to figure it out. Other developers pop out of seemingly out of nowhere suddenly shows off your idea! Something you could have had.
OPTION 2 - TAKE THE FAST LANE AND LEARN AI WITHIN 30 DAYS
You can follow a PROVEN SYSTEM or hire a mentor, who has been exactly where you are right now, to guide you. Within a week, you will fast track your AI development so that you can start developing practical AI apps that helps solves problems.
This course gives you…
- ..faster results...
- ...support the whole way there...
- ...the opportunity to dramatically upgrade your skills in AI-CV.
SO WHICH OPTION DO YOU WANT TO TAKE? CHOOSE WISELY.
STILL UNSURE? HERE'S SOME COMMON QUESTIONS WE GET...
➤ YES! It’s yours forever!
➤ You’ll get an email from me in which I will give you access to the course.
➤ You’ll have LIFETIME access to it.
➤ Hiring a mentor who charges you $100 an hour. Getting 10 hours of training from them per week would cost you about $4000 a month. Its also very challenging to find an AI mentor who will be willing to assist.
➤ This course will save you a lot in time from figuring it out by yourself. Time is money and is especially valuable since we have a limited time on this planet. Do you want to waste it wreaking your brains debugging and figuring this out by yourself?
➤ What would this course be worth to you if it got you even one client? Or what would be your return if you landed a job as an AR developer?
➤ 50% of my material is free… But I charge a premium price for the very best stuff.
➤ Lastly, this course is so good you can’t afford to NOT have it.
➤ You are getting $1143 of value for only $199 for a limited time - Ask yourself, can you really miss out on this course, considering of the significant return you can make once you sell an app to your clients or get a job.
➤ You are looking to be spoon fed (you ONLY do what’s covered in a course).
➤ You’re unemployed (unless you have lots of money saved up where you can comfortably join the course. You’re NOT gonna get far if you’re under pressure).
➤ You’re in debt (join the course later once you’re out of it).
➤ You want to put the minimum amount of work to get the maximum results
➤ You understand that this requires hard work and patience to get the right skills. You understand that you’re going to get any results overnight.
➤ You are committed. This course is about developing core skills that will stay with you a lifetime and will be the foundation for your success for YEARS to come.
➤ You’re someone that believes in taking action. You watch the material and follow along step-by-step.
➤ Are a computer vision developer that utilizes and are eager to level-up your skills.
➤ Have experience with machine learning and want to break into neural networks or AI for visual understanding.
➤ Are a scientist looking to apply deep learning + computer vision algorithms to your research.
➤ Are a university student and want more than your university offers (or want to get ahead of your class).
➤ Utilize computer vision algorithms in your own projects but have yet to try deep learning.
➤ Used AI in projects before, but never in the context of analysis of visual perception.
➤ Write Python/ML code at your day job and are motivated to stand out from your coworkers.
➤ Are a "AI hobbyist" who knows how to program and wants to tinker with DIY projects using computer vision.
➤ You understand that this requires hard work and patience to get the right skills. You understand that you’re going to get any results overnight.
➤ You’re someone that believes in taking action. You watch the material and then you actually APPLY it.
➤ First of all, Python is awesome. It is an easy language to learn and hands-down the best way to work with deep learning algorithms.
➤ The simple, intuitive syntax allows you to focus on learning the basics of deep learning, rather than spending hours fixing crazy compiler errors in other languages.
➤Don't worry; you won't get swamped by tons of theory and complex equations.
➤We'll start off with the basics where you'll learn in a fun, practical way with code.
➤You'll be an Object Detecting ninja in no time, and be able to graduate to the more advanced content.
➤This course isn't just for beginners — there's advanced content in here too.
➤You'll discover how to train your own custom object detectors using AI.
➤You'll build a custom framework that can be used to train very deep architectures using Yolo V3.
➤ I'll even show you my personal workflow blueprint that I use to determine which AI techniques to apply when confronted with a new problem.
➤Best of all, these solutions and tactics can be directly applied to your current job, research, and projects.
I personally use the NVIDIA 1080 (8GB) on a daily basis for training my own AI models. Alternatively, I would recommend using Amazon EC2 and their GPU instances (particularly p2.* and g2.*) in the cloud to train your networks if you do not want to purchase physical hardware.
It is possible to execute the model on a CPU without a problem. If you are using a GPU will dramatically speed up the network training process. Its best to use an NVIDIA GPU as we use the CUDA libraries which are only compatible with the NVIDIA brand. So please ensure that you are using a CUDA support NVIDIA GPU.
➤ If you have any other questions, please message me via Facebook Messenger, and I'll personally get back to you ASAP.
So, Who's Teaching Me?
Hey, I'm Ritesh Kanjee, entrepreneur who has spent his entire adult life studying augmented reality, AI & computer vision. Over the past 3 years alone I have:
- My Masters in Electronic Engineering (M.Eng)
- Started the AugmentedStartup.com YouTube Channel with over 64K subscribers, teaching computer vision, AR, IoT, and machine learning.
- And I’ve also presented at international conferences and meetups in Computer Vision
If studying AI and visual perception sounds interesting to you, I hope you'll consider enrolling in this course. You'll learn a ton about AI and computer vision in a practical, hands-on way. And you'll have fun doing it. See you on the other side!
—Ritesh Kanjee
