Turn Artificial Intelligence into your best creative tool by building 5 real projects, no coding required, with business applications from day one
Artificial Intelligence is transforming the way companies work, but learning to use it shouldn't require programming knowledge. In this course you'll discover how to create AI solutions in a practical way using No-Code tools like Google Teachable Machines, AWS AI Autopilot and DataRobot, without writing a single line of code.
Throughout the course you'll develop 5 real projects inspired by business problems from different sectors. You'll learn to detect emotions through computer vision, classify diseases from X-rays, predict insurance premiums, identify cardiovascular diseases and recognize food using ready-to-use Artificial Intelligence models.
Beyond building models, you'll understand one of the most important concepts in modern AI: explainability. You'll discover how to interpret a model's predictions and understand which variables influence its decisions, a skill increasingly in demand across companies in every sector.
This course is designed for entrepreneurs, professionals, students and anyone who wants to get started in Artificial Intelligence without any prior technical training. You'll learn by doing, working with real data and gaining the skills you need to apply AI to business projects from day one.
Create, train and deploy an Artificial Intelligence model capable of recognizing emotions using Google Teachable Machines, without needing to code.
Develop an AI model to detect and classify chest diseases from X-rays using Google Teachable Machines.
Build predictive models with AWS SageMaker Autopilot to estimate insurance premiums and solve regression problems automatically.
Train advanced models with DataRobot AI to identify cardiovascular diseases from real-world data.
Learn to create models capable of identifying different types of foods and understand how to interpret their predictions.
Analyze your models' performance using metrics like accuracy, error rate, and confusion matrix.
Understand key concepts like learning rate, epochs, batch size, accuracy, and loss to grasp how a model learns.
Discover transfer learning and deep neural networks to accelerate training and improve results.
Develop five complete projects using No-Code tools like Google Teachable Machines, AWS SageMaker Autopilot, and DataRobot AI.
Ligency Team is an international team of experts in programming, artificial intelligence, data science and technology, founded by Kirill Eremenko and Hadelin de Pontevés, creators of some of the world's most popular courses in these disciplines. With millions of students and a multidisciplinary team of over 20 professionals, our mission is to offer practical, high-quality training that helps people at any level develop relevant technological skills. Since 2018, our courses have been available in Spanish thanks to the collaboration with Juan Gabriel Gomila and Frogames Formación, bringing the best educational content to the Spanish-speaking community.
Mathematician, Certified Unity Instructor, and Online Instructor who has trained over 600,000 students worldwide across different platforms such as Udemy and Platzi. CEO of Frogames Formación and driving force behind this platform, bringing all his knowledge in Mathematics, Machine Learning, Videogames, AI and Blockchain among others.
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