Modern Artificial Intelligence with Zero Coding

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

Created by: Dr. Ryan Ahmed, Ph.D., MBA
Best-Selling Professor, 400K+ students, 250K+ YT Subs

Created by: Ligency Team
Helping Data Scientists Succeed

Created by: SuperDataScience Team
Helping Data Scientists Succeed

What Will I 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
• Understand the theory and intuition behind residual networks, a state-of-the-art deep neural networks that are widely adopted in business, and healthcare
• Learn how to train multiple AI models based on XG-Boost, Artificial Neural Networks, Random Forest Classifiers and compare their performance in DataRobot
• Understand the impact of classifier threshold on False Positive Rate (Fallout) and True Positive Rate (Sensitivity)
• Learn how to use SageMaker Studio AutoML tool to build, train and deploy AI/Ml models which requires almost zero coding experience
• Differentiate between various regression models KPIs such as R2 or coefficient of determination, Mean absolute error, Mean Squared error, and Root Mean Squared Error
• Build, train and deploy XGBoost-based algorithm to perform regression tasks using AWS SageMaker Autopilot

Requirements

• The course has no prerequisites and is open to anyone with no or basic programming knowledge. Students who enroll in this course will master AI fundamentals and directly apply these skills to solve real world challenging problems.

Target audience

• Seasoned consultants who don’t possess coding skills (or have basic coding skills) and wanting to transform businesses by leveraging AI.
• Visionary business owners who want to harness the power of AI to maximize revenue, reduce costs and optimize their business.
• AI Practitioners wanting to advance their careers and build their portfolio.
• Tech enthusiasts who are passionate about AI and want to gain real-world practical experience.