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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 Hands-On Labs — nothing to install
- 12 Interactive Lessons and 90 topics mapped to the official exam objectives
Intermediate Self-paced · 1 year access
11 Hands-On LiveLabs
Practice real IT tasks in guided environments.
- Real environments
- Auto-graded
- No installation
12Interactive Lessons
90Topics
11LiveLab
01 / Skills you'll get
What you will be able to do
Try Free →
No credit card required
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 Structured Lessons Comprehensive coverage of core course objectives
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11 Hands-On LiveLabs Interactive guided scenarios with instant evaluation
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1 Year Full Access Self-paced learning accessible anytime on all devices
02 / Lessons & labs
See exactly what you will learn and practice
Lessons
12 Interactive Lessons · 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 LiveLab +
- 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 LiveLab in this lesson — see the labs panel →
04 Building AI Model to Predict Housing Prices 8 topics · 1 LiveLab +
- Data selection
- No-Code AI tool selection
- Exploratory Data Analysis
- Model selection
- Training
- Evaluation
- Result and further improvements
- Conclusion
1 LiveLab in this lesson — see the labs panel →
05 Classifying Different Images 8 topics · 1 LiveLab +
- Data selection
- No-Code AI tool selection
- Data labeling
- Training
- Evaluation
- Result and further improvements
- Conclusion
- Questions
1 LiveLab in this lesson — see the labs panel →
06 Building AI Model to Perform Sales Forecasting 8 topics · 1 LiveLab +
- Data selection
- No-code AI tool selection
- Exploratory Data Analysis
- Model selection
- Training
- Evaluation
- Result and further improvements
- Conclusion
1 LiveLab in this lesson — see the labs panel →
07 Building AI Model to Find Fraudulent Claims 9 topics · 1 LiveLab +
- Data selection
- No-Code AI tool selection
- Exploratory Data Analysis
- Model selection
- Training
- Evaluation
- Result and further improvements
- Conclusion
- Questions
1 LiveLab in this lesson — see the labs panel →
08 Building AI Model to Detect Diseases in Plants 9 topics · 1 LiveLab +
- Data selection
- No-Code AI tool selection
- Exploratory Data Analysis
- Model selection
- Training
- Evaluation
- Result and further improvements
- Conclusion
- Questions
1 LiveLab in this lesson — see the labs panel →
09 Building AI Model to Create Targeted Customer Offerings 9 topics · 1 LiveLab +
- Data selection
- No-Code AI tool selection
- Exploratory Data Analysis
- Model selection
- Training
- Evaluation
- Result and Further improvements
- Conclusion
- Questions
1 LiveLab 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 LiveLab +
- 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 LiveLab in this lesson — see the labs panel →
Hands-On Labs Our edge
11 LiveLabs- 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
Labs run in your browser — nothing to install.
03 / FAQs
Questions before you start
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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Build powerful AI solutions without writing a single line of code in this hands-on, beginner-friendly course.
- 1 year of full access
- 11 LiveLab included
- Certificate of completion
No credit card required