Modern Artificial Intelligence Masterclass: Build 6 Projects (Udemy.com)
Harness the power of AI to solve practical, real-world problems in Finance, Tech, Art and Healthcare
Created by: Prof. Ryan Ahmed, PhD, MBA
Last updated December 2023
What you will learn
- Deploy Emotion AI-based model using Tensorflow 2.0 Serving and use the model to make inference.
- Understand the concept of Explainable AI and uncover the blackbox nature of Artificial Neural Networks and visualize their hidden layers using GradCam technique
- Develop Deep Learning model to automate and optimize the brain tumor detection processes at a hospital.
- Build and train AI model to detect and localize brain tumors using ResNets and ResUnet networks (Healthcare applications).
- Understand the theory and intuition behind Segmentation models and state of the art ResUnet networks.
- Build, train, deploy AI models in business to predict customer default on credit card using AWS SageMaker XGBoost algorithm.
- Optimize XGBoost model parameters using hyperparameters optimization search.
- Apply AI in business applications by performing customer market segmentation to optimize marketing strategy.
Course Description
# Course Update June 2021: Added a study on Explainable AI with Zero Coding
Artificial Intelligence (AI) revolution is here!
“Artificial Intelligence market worldwide is projected to grow by US$284.6 Billion driven by a compounded growth of 43. 9%. Deep Learning, one of the segments analyzed and sized in this study, displays the potential to grow at over 42. 5%.” (Source: globenewswire).
AI is the science that empowers computers to mimic human intelligence such as decision making, reasoning, text processing, and visual perception. AI is a broader general field that entails several sub-fields such as machine learning, robotics, and computer vision.
For companies to become competitive and skyrocket their growth, they need to leverage AI power to improve processes, reduce cost and increase revenue. AI is broadly implemented in many sectors nowadays and has been transforming every industry from banking to healthcare, transportation and technology.
The demand for AI talent has exponentially increased in recent years and it’s no longer limited to Silicon Valley! According to Forbes, AI Skills are among the most in-demand for 2020.
The purpose of this course is to provide you with knowledge of key aspects of modern Artificial Intelligence applications in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets. The course covers many new topics and applications such as Emotion AI, Explainable AI, Creative AI, and applications of AI in Healthcare, Business, and Finance.
One key unique feature of this course is that we will be training and deploying models using Tensorflow 2.0 and AWS SageMaker. In addition, we will cover various elements of the AI/ML workflow covering model building, training, hyper-parameters tuning, and deployment. Furthermore, the course has been carefully designed to cover key aspects of AI such as Machine learning, deep learning, and computer vision.
Here’s a summary of the projects that we will be covering:
· Project #1 (Emotion AI): Emotion Classification and Key Facial Points Detection Using AI
· Project #2 (AI in HealthCare): Brain Tumor Detection and Localization Using AI
· Project #3 (AI in Business/Marketing): Mall Customer Segmentation Using Autoencoders and Unsupervised Machine Learning Algorithms
· Project #4: (AI in Business/Finance): Credit Card Default Prediction Using AWS SageMaker's XG-Boost Algorithm (AutoPilot)
· Project #5 (Creative AI): Artwork Generation by AI
· Project #6 (Explainable AI): Uncover the Blackbox nature of AI
Who this course is for:
The course is targeted towards AI practitioners, aspiring data scientists, Tech enthusiasts, and consultants wanting to gain a fundamental understanding of data science and solve real world problems. Here’s a list of who is this course for:
· Seasoned consultants wanting to transform industries by leveraging AI.
· AI Practitioners wanting to advance their careers and build their portfolio.
· Visionary business owners who want to harness the power of AI to maximize revenue, reduce costs and optimize their business.
· Tech enthusiasts who are passionate about AI and want to gain real-world practical experience.
Course Prerequisites:
Basic knowledge of programming is recommended. However, these topics will be extensively covered during early course lectures; therefore, the course has no prerequisites, and is open to anyone with basic programming knowledge. Students who enroll in this course will master data science fundamentals and directly apply these skills to solve real world challenging business problems.
Instructor Details
- 4.6 Rating
3,040 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 Mc Richard Ortega on 8/18/2026
The topics are very details and lots of reference to enhance your knowledge about AI.
By Larry Timmins on 4/9/2026
I was able to resolve the issue, but it took many manual steps. #===========# In lesson 4, following link to "Get the Materials" get to a page, but every download (a zip file in AWS) results in "Results not available" in Browser download. Did Author not pay bill? This couse seems well organized. I hope this gets corrected. Related, Udemy's AI Assistance was not helpful and never used the course's Q&A as context. It just shuffled the words with no value. QUERY - IS THIS RELATED TO UDEMY ABANDONING THE PERMANENT COURSE MODEL?
By Apurva Zadbuke on 12/30/2025
it really good, and now i am a confident in AI. thank you
By Meghana Tottempudi on 12/19/2025
Deploy Emotion AI-based model using Tensorflow 2.0 Serving and use the model to make inference. Understand the concept of Explainable AI and uncover the blackbox nature of Artificial Neural Networks and visualize their hidden layers using GradCam technique Develop Deep Learning model to automate and optimize the brain tumor detection processes at a hospital. Build and train AI model to detect and localize brain tumors using ResNets and ResUnet networks (Healthcare applications). Understand the theory and intuition behind Segmentation models and state of the art ResUnet networks. Build, train, deploy AI models in business to predict customer default on credit card using AWS SageMaker XGBoost algorithm. Optimize XGBoost model parameters using hyperparameters optimization search. Apply AI in business applications by p
By Stephanie Komkov on 10/10/2025
I really enjoyed the lecture on the K-Cluster algorithm and using the elbow method. The instructor explained everything very clearly!
By ANIRUDH HEGDE on 12/5/2023
this course is great if u r looking to increase your skills. The way topics are explained and that too in concise manner really its worth it. Hope to see further more courses. Thanks a lot Sir for making such beautiful courses and I highly request you to upload further more courses.
By Zion Pulapakura on 1/4/2023
Amazing breadth of knowledge on key ML/DL subjects. Some crucial concepts are skimmed over, however this provides an incentive for the learner to conduct self-research and explore the topics in detail. It's a great course!
By Priyabrata Sinha on 11/21/2022
The course is very informative. It would have been beneficial if the instructor also covered the points where issues can occur and how to overcome it while coding. Overall very good for beginners.
By Helena Rolle on 3/7/2021
As usual enjoy this lectuer. Very dynamic, knowledge and goal oriented. ONE DRAWBACK. FIRST TIME LEAVING HIS COURSE WITH UNANSWERED QUESTIONS. Reached out but did not get a reply.
By Prahlad Singh Punia on 11/15/2020
It is a great learning experience. I had zero knowledge of this. Now my knowledge has improved considerably and I am more hands on with the coding. GREAT
Quality Score
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Overall Score : 92 / 100

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