| Published | 2021-10-15 |
| Platform | Udemy |
| Rating | 4.49 |
| Number of Reviews | 353 |
| Number of Students | 3508 |
| Price | $84.99 |
| Instructors |
Dr. Ryan Ahmed, Ph.D., MBA
Ligency Team
Ligency I Team
Mitchell Bouchard
|
| Subjects |
Build 10 AI projects in 10 days without coding using Google Teachable Machines, DataRobot, AWS Autopilot, and Vertex AI
The no-code AI revolution is here! Do you have what it takes to leverage this new wave of code-friendly tools paving the way for the future of AI?
Businesses of all sizes want to implement the power of Machine Learning and AI, but the barriers to entry are high. That's where no-code AI/ML tools are changing the game.
From fast implementation to lower costs of development and ease of use, departments across healthcare, finance, marketing and more are looking to no-code solutions to deliver impactful solutions.
But groundbreaking as they are, they're nothing without talent like YOU calling the shots...
Do you want to leverage machine learning and AI but feel intimidated by the complex coding involved?
Do you want to master some of the top no-code tools on the market?
Do you want to implement ML and AI solutions in your business, but don't have the academic background to understand?
Yes?! Then this course is for you.
Master the top tools on the market and start solving practical industry scenarios when you enroll in our new course: 10 Days of No Code Artificial Intelligence Bootcamp
Join our best-selling instructor Dr. Ryan Ahmed and learn how to build, train, test, and deploy models that solve 10 practical challenges across finance, human resources, business, and more, using these state-of-the-art tools:
Google Teachable Machine
Google TensorFlow Playground
DataRobot
AWS SageMaker Autopilot
Google Vertex AI
Tensorspace.JS
The best part? You'll be done in 10 days or less!
Take a look at the 10 professional projects you will complete:
Day #1: Develop an AI model to classify fashion elements using Google Teachable Machines.
Day #2: Deep-dive into AI technicalities by tweaking hyperparameters, epochs, and network architecture.
Day #3: Build, train, test, and deploy an AI model to detect and classify face masks using Google Teachable Machines.
Day #4: Visualize state-of-the-art AI models using Tensorspace.JS, Google Tensorflow Playground, and Ryerson 3D CNN Visualizations.
Day #5: Develop a machine learning model to predict used car prices using DataRobot.
Day #6: Develop an AI model to predict employee attrition rate using DataRobot.
Day #7: Develop an AI model to detect Diabetic Retinopathy Disease using DataRobot
Day #8: Build, train, test, and deploy an AI model to predict customer sentiment from text.
Day #9: Develop an AI to predict credit card default using AWS SageMaker Autopilot.
Day #10: Develop an AI model to predict university admission using Google Vertex AI.
Ready to challenge your AI skills in new and exciting ways? Enroll now and experience the power of no-code AI tools.