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Modern Artificial Intelligence with Zero Coding (Udemy.com)

Build 5 Practical Projects & Harness the Power of AI to solve practical, real-world business problems with Zero Coding!

Created by: Prof. Ryan Ahmed, PhD, MBA

Last updated June 2024

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What you will learn

  • Build, train and deploy AI models to detect people emotions using Google Teachable Machine
  • Explain the difference between learning rate, epochs, batch size, accuracy and loss.
  • Predict Insurance Premium using Customer Features such as age, smoking habit and geo-location using AWS AI AutoPilot
  • Build, train and deploy advanced AI to detect cardiovascular disease using DataRobot AI
  • Leverage the power of AI to recognize food types using DataRobot AI
  • Develop an AI model to detect and classify chest disease using X-Ray chest data using Google Teachable Machines
  • Evaluate trained AI models using various KPIs such as confusion matrix, classification accuracy, and error rate
  • List the various advantages of transfer learning and know when to properly apply the technique to speed up training process

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Course Description

Do you want to build super-powerful applications in Artificial intelligence (AI) but you don’t know how to code?

Are you intimidated by AI and don’t know where to start?

Or maybe you don’t have a computer science degree and want to break into AI?

Are you an aspiring entrepreneur who wants to maximize business revenue and reduce costs with AI but don’t know how to get there quickly and efficiently?


If the answer is yes to any of these questions, then this course is for you!

Artificial intelligence is one of the top tech fields to be in right now!

AI will change our lives in the same way electricity did 100 years ago.

AI is widely adopted in Finance, banking, healthcare, transportation, and technology. The field is exploding with opportunities and career prospects.

This course solves a key problem which is making AI available to anyone with no coding background or computer science degree.

The purpose of this course is to provide you with knowledge of key aspects of modern AI without any intimidating mathematics and in a practical, easy, and fun way. The course provides students with practical hands-on experience using real-world datasets.

In this course, we will assume that you have been recently hired as a consultant at a start-up in San Francisco. The CEO has tasked you to apply cutting-edge AI techniques to 5 projects. There is only one caveat, your key data scientist quit on you and do not know how to code, and you need to generate results fast. In fact, you only have one week to solve these key company problems. You will be provided with datasets from all these departments and you will be asked to achieve the following tasks:

  • Project #1: Develop an AI model to detect people's emotions using Google Teachable Machines (Technology).

  • Project #2: Develop an AI model to detect and classify chest disease using X-Ray chest data using Google Teachable Machines (HealthCare).

  • Project #3: Predict Insurance Premium using Customer Features such as age, smoking habit, and geo-location using AWS AI AutoPilot (Business).

  • Project #4: Detect Cardiovascular Disease using DataRobot AI (HealthCare).

  • Project #5: Recognize food types and explore AI explainability using DataRobot AI (Technology).




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Instructor Details

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

4.7

1,863 ratings on Udemy

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By Anonymized User on 4/13/2025

In my opinion, the instructor was very knowledgeable about the subject and could delivered the content well. After completing the walk through projects in class you definitely be able to use S3, EC2 and SAGEMAKER on AWS, DataRobot and Teachable Machine on Google.

By Iain Brown on 3/27/2025

I really liked the practical nature and use of AI with different platforms. However the course slides are out of date in places and the datarobot and AI sagemaker UI have changed significantly. I was able to figure it out but it was a little trial and error. Still the applied nature of the projects was very good.

By Alban Ramadani on 8/5/2024

I would like to express my gratitude to Dr. Ryan Ahmed for his exceptional lecturing. Not only did I fully understand the material, but I was also able to effectively follow every project. The knowledge gained has already been implemented in my daily work, and I feel inspired to pursue my own projects.

By Eduardo Danganan on 12/23/2023

looking forward to finishing this course. Starting with unit 1, the material has been helpful in learning the initial key concepts on what to know about AI and the various applications that have yet to be identified,and realized...... HOWEVER... I wish this course was updated since the Data Robot Interface wpage for this course no longer exists. I am doing trial and error to see if I can improvise what is seen on the current Data Robot "workbench" to see if I can learn the material "blindly" in te Data Robot Environment

By Rich Stewart on 12/15/2023

This course provided me with a combination of concepts on how training of ML models works, including what parameters to modify and how to interpret the results, as well as exposure to some of the free or low-cost no-code AI tools that I feel I can now use with various types of data.

By Ram Chatterjee on 11/11/2023

DataRobot AI and especially AWS SageMaker Autopilot interface could have been explained more practically for a better hands on practice and hyperparameter optimizations, considering the dataset transformation starting from initial usage of raw dataset to its preprocessing being done, followed by how feature engineering is being applied to derive/decide the target column. Usually the datasets available for research are raw datasets and it is essential to understand how DataRobot AI and especially AWS SageMaker Autopilot gradually transform the dataset and use it for the models' training and testing and how hyperparameter tuning and probably a better feature engineering/feature scaling/feature selection approaches can help fine tune the best model's performance (as recommended in the leadership board) from research perspectives. Many research papers have claimed to use ensemble learning models, DL models with output metrics scores better than the one being produced by the models at the leadership board. From that viewpoint also it would be better to understand how we can better the models' predictions and metrics recommended as best models at the leadership board. Thanks & Regards.

By Anonymized User on 11/19/2022

I found the presenter's ability to make simple the topic very commendable. He stuck to his promise of no coding and yet delivered a truly good transfer of knowledge. Good work. Thank you. P.S. It would be great if the optional lecture/additional material slides too were made available for download

By Robert Barrett on 7/28/2021

A very good intro to machine learning and AI with no-code. Teachable Machines and DataRobot are the highlights of this course. The theory is applied as needed and in simple terms, coming from a stats and ML background I can say that the explanations are clear and accurate and you will have a very good understanding of what AI and ML are about.

By Nik Sargent on 6/18/2021

This course is absolutely amazing. It helped me tackle my fear of getting into AI. The lecturer is brilliant - explains well & often. I also find him very easy to listen to (quite soothing!) which made me want to listen and even repeat lectures! The material is very accessible and the exercises are easy enough to build, but tackle real world problem -which really brings this whole subject to life. I would recommend this course to all my colleagues, I thought it was absolutely brilliant and worth every penny. I would gladly listen to other courses by this tutor.

By Helena Rolle on 4/12/2021

Always a pleasure to take a course by this instructor. The simplicity, exuberance and passion with which he teaches is PAR EXCELLENCE. In time, response by the chat assistance will improve in response to questions. Lost for words. Any course by this team is definitely worth one's time, money and effort. The course introduction is no hype: real learning can be hath.

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Overall Score : 94 / 100