10 Days of No Code Artificial Intelligence Bootcamp (Udemy.com)
Build 10 AI projects in 10 days without coding using Google Teachable Machines, DataRobot, AWS Autopilot, and Vertex AI
Created by: Prof. Ryan Ahmed, PhD, MBA
Last updated June 2025
What you will learn
- Build, train, test and deploy 10 AI/ML models in 10 days without writing any code.
- Build, train, test and deploy AI models to classify fashion items using Google Teachable Machine.
- Visualize State-of-the-Art Artificial Intelligence Models Using Tensorspace JS, Google Tensorflow Playground and Ryerson 3D CNN Visualizations.
- Explain the difference between learning rate, epochs, batch size, accuracy, and loss.
- Build, train and deploy advanced AI to detect Diabetic Retinopathy disease using DataRobot AI.
- Leverage the power of AI to solve regression tasks and predict used car prices using DataRobot AI.
- Evaluate trained AI models using various KPIs such as confusion matrix, classification accuracy, and error rate.
- Understand the theory and intuition behind Residual Neural Networks (ResNets), a state-of-the-art deep NNs that are widely adopted in several industries.
Course Description
The no-code AI revolution is here! Do you have what it takes to leverage this new wave of code-friendly tools paving the way for the future of AI?
Businesses of all sizes want to implement the power of Machine Learning and AI, but the barriers to entry are high. That's where no-code AI/ML tools are changing the game.
From fast implementation to lower costs of development and ease of use, departments across healthcare, finance, marketing and more are looking to no-code solutions to deliver impactful solutions.
But groundbreaking as they are, they're nothing without talent like YOU calling the shots...
Do you want to leverage machine learning and AI but feel intimidated by the complex coding involved?
Do you want to master some of the top no-code tools on the market?
Do you want to implement ML and AI solutions in your business, but don't have the academic background to understand?
Yes?! Then this course is for you.
Master the top tools on the market and start solving practical industry scenarios when you enroll in our new course: 10 Days of No Code Artificial Intelligence Bootcamp
Join our best-selling instructor Dr. Ryan Ahmed and learn how to build, train, test, and deploy models that solve 10 practical challenges across finance, human resources, business, and more, using these state-of-the-art tools:
Google Teachable Machine
Google TensorFlow Playground
DataRobot
AWS SageMaker Autopilot
Google Vertex AI
Tensorspace.JS
The best part? You'll be done in 10 days or less!
Take a look at the 10 professional projects you will complete:
Day #1: Develop an AI model to classify fashion elements using Google Teachable Machines.
Day #2: Deep-dive into AI technicalities by tweaking hyperparameters, epochs, and network architecture.
Day #3: Build, train, test, and deploy an AI model to detect and classify face masks using Google Teachable Machines.
Day #4: Visualize state-of-the-art AI models using Tensorspace.JS, Google Tensorflow Playground, and Ryerson 3D CNN Visualizations.
Day #5: Develop a machine learning model to predict used car prices using DataRobot.
Day #6: Develop an AI model to predict employee attrition rate using DataRobot.
Day #7: Develop an AI model to detect Diabetic Retinopathy Disease using DataRobot
Day #8: Build, train, test, and deploy an AI model to predict customer sentiment from text.
Day #9: Develop an AI to predict credit card default using AWS SageMaker Autopilot.
Day #10: Develop an AI model to predict university admission using Google Vertex AI.
Ready to challenge your AI skills in new and exciting ways? Enroll now and experience the power of no-code AI tools.
Instructor Details
- 4.4 Rating
2,283 Reviews
Prof. Ryan Ahmed, PhD, MBA
I'm Dr. Ryan Ahmed, professor, engineer, and founder of Stemplicity, where we help people get past the hype and actually build things with AI, Agentic AI, Cloud, and Data Science.
Over the past 10 years, I've taught 1 million learners across 160 countries — 700,000+ enrolled in my Udemy courses, 260,000+ subscribers on the "Prof. Ryan Ahmed" YouTube channel, and 120,000+ on Coursera. I also run corporate AI training for teams at HSBC, RBC, Discover, and Barclays across the US, Canada, and the UK. I held leadership roles at GM, Samsung, and Stellantis in Canada and the U.S., working on electric and autonomous vehicle technologies.
I hold a MASc, PhD, and MBA from McMaster University. I’m also a licensed Professional Engineer and a Stanford-certified program manager with over 60+ published research papers in AI and battery systems.
But credentials are the least interesting part. Here's what I actually believe: "AI is the biggest opportunity of our lifetime", and most people are sitting it out because they think they need to code or have a PhD. You don't. If you're willing to show up and try, I'll help you get good at this.
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Reviews
By Rajender Kumar on 4/1/2026
This complete section is more on high level overview regarding history and current state of AI which is not the current requirement of the student. we want to get into the core AI learning as soon as possible otherwise we will loose the intrest in the course.....all these things which you are showing in begging of the course, better you start with core AI learning and show all these things in between the core learning in parts.
By Matt Grossberg on 1/30/2026
Datarobot and understanding that was the thing I was looking forward to the most. However, the difference between the user interface displayed in the lectures and the present Datarobot interface is so drastically different and the locations of the activities we are to perform are so different that it makes it nearly impossible to follow along and learn. Teachable machines was so straightforward and easy to replicate it just makes it more frustrating.
By Kieron Branagan on 5/22/2025
This was an excellent course and provided a great foundation in machine learning. The lecturer is fantastic and has a real passion for the subject. Some of the reading materials are outdated (given how fast the world of AI is moving, especially since the introduction of ChatGPT). DataRobot is extremely powerful but its pricing is opaque (and not geared towards learners versus enterprise data scientists). AWS SageMarker AutoPilot is also powerful but once you are over the initial credits, it could be very expensive! Google Vertex AI was slightly disappointing in that you do not get a model leaderboard and the trained model is not particularly transparent. AWS SageMaker requires a credit card and likewise for Vertex AI (even though there are free credits initially available) - so not particularly applicable for students. Thank you for a great course.
By Daniel Paloma on 6/10/2024
Thanks Dr. Ryan Ahmed for sharing your knowledge on the subject. I truly enjoyed the course and learned a lot with your practical projects. Wish you success in your ongoing endeavors and hope to see you again in another course. Regards.
By Nayan Sharma on 4/19/2023
It is overall a good course as helps you know about different tools available in the market that can reduce the time you give for coding but unfortunately coding should also be taught to make the student good with that as well. Awesome Instructor
By Trevor G Tyne on 1/16/2023
Dear Dr Ryan Ahmed, You need to be congratulated on such a good course. The planning and thought that have been invested in the course are exceptional. Well done Dr Ahmed. !! Your efforts are greatly appreciated! Perhaps you may consider offering a Masters online. I am sure the uptake would be significant. If you do please advise. Trev T Sydney
By Henry J on 3/1/2022
Overall it is a good course to have an overview of some of the autoML sites out there. The instructor repeated some of the information throughout for people who skip lectures. You can play the video at 2x to speed through those sections. Datarobot, AWS and Google Vertex changed the UI since the instructor recorded his videos. Instructor needs to spend more time on AWS structure, and also include a section on deployment of the model on AWS. Unfortunately AWS and Google Vertex are more complicated than Datarobot, so the instructor should spend more time explaining the requirements needed to get the model running.
By Kaushal Kumar on 1/23/2022
Enjoyed the course and learnt a lot. The course has a very good course outline which guides us through different Artificial Intelligence use case. Though the use cases are basic in nature, but that is what the course is all about. The course provides us the basic understanding of Google Teachable Machine, AWS Sagemaker, Google Vertex AI and DataRobot. Out of 4 tools Google Teachable Machine, AWS Sagemager and Google Vertex AI were fun to learn; however DataRobot was bit tedious. Section 6, 7, 8, 9 deal with DataRobot. Although the instructor has put good effort in these chapter, but the DataRobot looks to be unstable. At the time, when i took this course, i could not create a login to their website. When i reached to their support; instead of providing assistance to login, DataRobot support team jumped to marketing and sales. They wanted to the tool usage and they wanted to have meeting etc. Even after working with the for 3 days, i could not get the login created, so i followed section 6, 7, 8 and 9 via lecture. I have requested the instructor (Dr. Ryan Ahmed) to evaluate if there could be some alternative to DataRobot; which might assist other students. Overall, I liked the course and its content. Thank you Ryan and team. Cheers
By Noor Marji on 1/20/2022
Great course for an absolute beginner like me, the datarobot application segments need to be updated as they are completely different now from what the course shows. Some parts and lessons were repetitive and kept appearing in every other lesson which I didn't really enjoy, and the last 2 lessons of the final day (day 10) are in the wrong order, they should be put in the correct order. Other than that it was a very nice introductory course and easy to follow along, but please update the datarobot applications segment to reflect what it actually looks like right now.
By Carrel d'Haiti on 11/18/2021
This is a fantastic no-code Artificial Intelligence course. I would encourage anyone to sign up for this course. Anyone who is thinking about AI/ML should sign up for this course. The student will be pleasantly surprised. This course is a wonderful one; you will learn stuff and you will do stuff in a very pleasant way. It is also noteworthy to mention that the Professor teaching the course knows well his stuff. He is at ease with the material. He explains well and clarifies the key concepts. He is energetic and confident. This is a big deal. You will not be disappointed. It is worth the bucks.
Quality Score
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Overall Score : 88 / 100

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