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…
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Build, train and deploy AI models to detect people emotions using Google Teachable Machine
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Explain the difference between learning rate, epochs, batch size, accuracy and loss.
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Predict Insurance Premium using Customer Features such as age, smoking habit and geo-location using AWS AI AutoPilot
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Build, train and deploy advanced AI to detect cardiovascular disease using DataRobot AI
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Leverage the power of AI to recognize food types using DataRobot AI
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Develop an AI model to detect and classify chest disease using X-Ray chest data using Google Teachable Machines
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Evaluate trained AI models using various KPIs such as confusion matrix, classification accuracy, and error rate
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List the various advantages of transfer learning and know when to properly apply the technique to speed up training process
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Understand the theory and intuition behind residual networks, a state-of-the-art deep neural networks that are widely adopted in business, and healthcare
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Learn how to train multiple AI models based on XG-Boost, Artificial Neural Networks, Random Forest Classifiers and compare their performance in DataRobot
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Understand the impact of classifier threshold on False Positive Rate (Fallout) and True Positive Rate (Sensitivity)
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Learn how to use SageMaker Studio AutoML tool to build, train and deploy AI/Ml models which requires almost zero coding experience
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Differentiate between various regression models KPIs such as R2 or coefficient of determination, Mean absolute error, Mean Squared error, and Root Mean Squared Error
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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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