AI-NOCODE.AW1
No-Code Artificial Intelligence
AI is transforming industries, but you don’t need to code to be part of the revolution. Join our no-code AI course to build real-world AI solutions faster.
- Practice in 11 Laboratorios prácticos — nothing to install
- 12 Lecciones interactivas y 90 topics mapped to the official exam objectives
Intermediate A tu propio ritmo · 1 año de acceso
11 LiveLabs prácticos
Practice real IT tasks in guided environments.
- Entornos reales
- Calificación automática
- Sin instalación
12Lecciones interactivas
90Topics
11Laboratorio en vivo
01 / Habilidades que obtendrás
What you will be able to do
Try Free →
No se requiere tarjeta de crédito
In this No-Code AI Course, master no code AI tools like AWS SageMaker and Google AutoML to create machine learning models for sales forecasting, fraud detection, and even plant disease diagnosis.
Learn by doing…from predicting housing prices to analyzing healthcare data, you’ll tackle hands-on projects that solve actual business problems.
- Build AI Models without Coding: Learn to create machine learning models using no-code tools like AWS SageMaker, DataRobot, and Google AutoML.
- Solve Real-World Business Problems: Develop AI solutions for sales forecasting, fraud detection, healthcare analysis, and more.
- Master No-Code AI Platforms: Get hands-on experience with top no-code AI tools for image recognition, NLP, and predictive analytics.
- Deploy AI in Key Industries: Apply AI in finance, healthcare, cybersecurity, and marketing. No programming needed.
- Optimize & Improve AI Models: Learn how to evaluate, refine, and enhance AI models for better accuracy and performance.
Course Highlights
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12 Lecciones estructuradas Cobertura completa de los objetivos principales del curso
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11 LiveLabs prácticos Escenarios interactivos guiados con evaluación instantánea
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1 año de acceso completo Aprendizaje a tu propio ritmo, accesible en cualquier momento y en todos los dispositivos
02 / Lecciones y laboratorios
See exactly what you will learn and practice
Plan de estudios
12 Lecciones interactivas · 90 topics01 Preface +
02 What is AI 10 topics +
- Introduction to Artificial Intelligence
- Types of AI systems
- Introduction to Machine Learning
- Supervised learning
- Unsupervised learning
- Reinforcement Learning
- Bleeding edge AI research
- Conclusion
- Further readings
- Questions
03 Getting Started with No-code AI 6 topics · 1 Laboratorio en vivo +
- Introduction to no-code AI
- History of no-code AI
- Different types of no-code AI solutions
- Advantages of no-code AI solutions
- Conclusion
- Questions
1 Laboratorio en vivo in this lesson — see the labs panel →
04 Building AI Model to Predict Housing Prices 8 topics · 1 Laboratorio en vivo +
- Data selection
- No-Code AI tool selection
- Exploratory Data Analysis
- Model selection
- Training
- Evaluation
- Result and further improvements
- Conclusion
1 Laboratorio en vivo in this lesson — see the labs panel →
05 Classifying Different Images 8 topics · 1 Laboratorio en vivo +
- Data selection
- No-Code AI tool selection
- Data labeling
- Training
- Evaluation
- Result and further improvements
- Conclusion
- Questions
1 Laboratorio en vivo in this lesson — see the labs panel →
06 Building AI Model to Perform Sales Forecasting 8 topics · 1 Laboratorio en vivo +
- Data selection
- No-code AI tool selection
- Exploratory Data Analysis
- Model selection
- Training
- Evaluation
- Result and further improvements
- Conclusion
1 Laboratorio en vivo in this lesson — see the labs panel →
07 Building AI Model to Find Fraudulent Claims 9 topics · 1 Laboratorio en vivo +
- Data selection
- No-Code AI tool selection
- Exploratory Data Analysis
- Model selection
- Training
- Evaluation
- Result and further improvements
- Conclusion
- Questions
1 Laboratorio en vivo in this lesson — see the labs panel →
08 Building AI Model to Detect Diseases in Plants 9 topics · 1 Laboratorio en vivo +
- Data selection
- No-Code AI tool selection
- Exploratory Data Analysis
- Model selection
- Training
- Evaluation
- Result and further improvements
- Conclusion
- Questions
1 Laboratorio en vivo in this lesson — see the labs panel →
09 Building AI Model to Create Targeted Customer Offerings 9 topics · 1 Laboratorio en vivo +
- Data selection
- No-Code AI tool selection
- Exploratory Data Analysis
- Model selection
- Training
- Evaluation
- Result and Further improvements
- Conclusion
- Questions
1 Laboratorio en vivo in this lesson — see the labs panel →
10 Building AI Model for Healthcare Information Identification 8 topics +
- Data selection
- No-code AI tool selection
- Exploratory Data Analysis
- Model selection and training
- Evaluation
- Result and further improvements
- Conclusion
- Questions
11 Building AI Model for Video Action Recognition 8 topics +
- Data selection
- No-code AI tool selection
- Exploratory Data Analysis
- Model selection and training
- Evaluation
- Result and further improvements
- Conclusion
- Questions
12 Building AI Applications with Coded AI 7 topics · 4 Laboratorio en vivo +
- Introduction to Python programming language
- Popular AI libraries
- Build AI projects with Python in Google Colab
- Using pretrained models for AI Applications
- Using Kaggle for AI and data science challenges
- Conclusion
- Questions
4 Laboratorio en vivo in this lesson — see the labs panel →
Laboratorios prácticos Our edge
11 Laboratorio en vivos- Adding a Text to an Image Using Runway
- Predicting Housing Prices using Amazon SageMaker Canvas
- Classifying Images Using Google Teachable Machine
- Forecasting Retail Electronics Sales Using Amazon SageMaker Canvas
- Predicting Insurance Fraud in DataRobot Using eXtreme Gradient Boosted Trees Classifier Model
- Predicting Plant Disease in DataRobot with a Keras Slim Residual Neural Network
- Predicting Customer Offerings in DataRobot Using the RandomForest Regressor Model
- Implementing Basic Python Programs
- Implementing Linear Regression with scikit-learn
- Implementing Linear Regression with TensorFlow
- Summarizing Text Using Hugging Face in Google Colab
Los laboratorios se ejecutan en tu navegador; no hay nada que instalar.
03 / Preguntas frecuentes
Preguntas antes de empezar
What is the future of no-code AI?+
No-code AI is rapidly growing, making AI accessible to non-technical professionals. Businesses will increasingly adopt no-code tools for faster, cost-effective AI solutions in marketing, healthcare, finance, and more. Expect more advanced automation, drag-and-drop AI model builders, and seamless integration with business workflows.
Will AI replace programmers in 5 years?+
No, AI won’t replace programmers but will change their roles. AI (including no-code tools) automates repetitive coding tasks, allowing developers to focus on complex problem-solving, architecture, and innovation. Programmers who adapt by learning AI integration will remain in high demand.
Can I work in AI without coding?+
Yes! No-code AI tools let you build, train, and deploy AI models without programming. Roles like AI business analysts, AI trainers, and automation specialists are emerging for non-coders. This AI course for non-technical individuals teaches you how to create real-world AI solutions—no coding required.
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- 1 año de acceso completo
- 11 LiveLab incluido
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No se requiere tarjeta de crédito