Modern Artificial Intelligence with Zero Coding

Course Name : Modern Artificial Intelligence with Zero Coding
Students : 8,484
Duration : 9.5 hrs
Avg Rating : 4.5
Original Price : $119.99
Discount Price : $9.99
Instructor / Provider : Ryan Ahmed, Udemy
Course Type : Self Paced Online Course. Lifetime Access
Coupon : Click on ENROLL NOW to apply discount code

Build 5 Practical Projects & Harness the Power of AI to solve practical, real-world business problems with Zero Coding!
Instructed by Ryan Ahmed 9.5 hours on-demand video, 5 articles & 1 downloadable resource

After completing the course, you will…

• 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

Who this course is for:

• 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.

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