10 Days of No Code Artificial Intelligence Bootcamp By Prof. Ryan Ahmed
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10 Days of No Code Artificial Intelligence Bootcamp · Program
About this program
10 Days of No Code Artificial Intelligence Bootcamp
Online Course
Learning format
No-Code Development
Subcategory
English
Course language
$59.99
Price
Price may change · updated within 1–2 weeks
Official program page
What you'll learn in 10 Days of No Code Artificial Intelligence Bootcamp
- Build, train, test and deploy 10 AI/ML models in 10 days without writing any code.
- Build, train, test and deploy AI models to classify fashion items using Google Teachable Machine.
- Visualize State-of-the-Art Artificial Intelligence Models Using Tensorspace JS, Google Tensorflow Playground and Ryerson 3D CNN Visualizations.
- Explain the difference between learning rate, epochs, batch size, accuracy, and loss.
- Build, train and deploy advanced AI to detect Diabetic Retinopathy disease using DataRobot AI.
- Leverage the power of AI to solve regression tasks and predict used car prices using DataRobot AI.
- Evaluate trained AI models using various KPIs such as confusion matrix, classification accuracy, and error rate.
- Understand the theory and intuition behind Residual Neural Networks (ResNets), a state-of-the-art deep NNs that are widely adopted in several industries.
- Understand the impact of classifier threshold on False Positive Rate (Fallout) and True Positive Rate (Sensitivity).
- Predict employee attrition based on their features such as employee engagement, distance from home, job satisfaction using DataRobot AI.
- Develop an AI model to detect face masks using Google Teachable Machines.
- Build, train and deploy XGBoost-based algorithm to perform regression tasks using AWS SageMaker Autopilot.
- Learn how to transfer knowledge from a pre-trained Artificial Neural Network to a new network using transfer learning strategy.
- Learn how to train multiple AI models based on XG-Boost, Artificial Neural Networks, Random Forest Classifiers and compare their performance in DataRobot.
- 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 and Mean Squared error.
- Learn how to build, train, test and deploy advanced machine learning classification models using Google Vertex AI.
- Understand how to leverage the power of AI/ML to predict bank customers credit card default using their features such as interest rates and loan purpose
- Learn how to create a new dataset using Google Vertex AI Develop and manage experiments using Google Vertex AI.
- Understand the theory, intuition, and mathematics behind simple and multiple linear regression and differentiate between various regression models KPIs.
- Deploy the best model after the hyperparameters optimization job is complete and Learn how to assess feature importance and explain model predictions.
- Deploy and monitor AI/ML models and create AI/ML applications with Google Vertex AI.
What's Included in 10 Days of No Code Artificial Intelligence Bootcamp
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