No-Code AI Development
Mentored online course on No-Code tools for developing AI solutions
- Introduction to No-Code and AI – Understand the benefits of No-Code and AI, with real-world examples of successful projects.
- Exploring No-Code Platforms – Get familiar with tools like Zapier, Make, and RelevanceAI for different automation tasks.
- Building AI Models & Chatbots – Learn to develop machine learning models with Google AutoML and Amazon SageMaker, and create AI chatbots using ChatGPT, Custom GPT, or Dialogflow.
- AI-Powered Solutions – Create recommendation systems, visualize data, and conduct predictive analysis using no-code tools.
- Hands-On Project & Future Trends – Develop your own AI solution and explore the latest advancements in No-Code AI.
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1.Introduction to the World of No-Code and AI
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1. Lektion
What is No-Code?: Definition and Benefits
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2. Lektion
Basics of Artificial Intelligence at a High Level: AI Concepts, Machine Learning, Deep Learning, etc.
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3. Lektion
Advantages of No-Code and AI Integration: Why Combine the Two?
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4. Lektion
Market Examples: Showcasing Successful No-Code AI Projects
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2.Overview of Fundamental No-Code Web Platforms and Tools
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5. Lektion
Introduction to No-Code Platforms: Examples like Zapier, Make, RelevanceAI, etc.
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6. Lektion
AI Integration Options on No-Code Platforms: Examples and Case Studies
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7. Lektion
Choosing a Platform: Selecting the Right Platform for Specific Tasks
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3.Developing ML Models in a No-Code Environment
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8. Lektion
Overview of Tools and Services: Google AutoML, Amazon SageMaker Autopilot, Microsoft Azure AutoML, etc.
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9. Lektion
Data Preparation: Data Collection, Cleaning, and Preprocessing
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10. Lektion
Creating Models in a No-Code Environment
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11. Lektion
Testing and Fine-Tuning Models
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4.Developing AI-Based Chatbots
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12. Lektion
Chatbot Basics: What is a Chatbot, and How Does It Work?
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13. Lektion
Creating Chatbots with No-Code Tools: ChatGPT Custom GPT, Dialogflow, Chatfuel, etc.
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14. Lektion
AI Integration in Chatbots: Applying Natural Language Processing (NLP)
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15. Lektion
Customizing and Launching Chatbots: UI/UX Optimization and Deployment
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5.Creating AI-Based Recommendation Systems
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16. Lektion
Basics of Recommendation Systems: How They Work and Types
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17. Lektion
Developing a Recommendation System in a No-Code Environment: Basic Setup and Fine-Tuning
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18. Lektion
Integrating AI Models into Recommendation Systems: Utilizing Customer Data
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19. Lektion
Measuring and Optimizing Results: Monitoring Performance Metrics
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6.Data Visualization and Predictive Analysis with No-Code Tools
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20. Lektion
Basics of Data Visualization: What Tools Can We Use in No-Code?
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21. Lektion
Practical Predictive Analysis Using AI and Machine Learning
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22. Lektion
Creating and Utilizing Dashboards
- The course will be held in English as well as all projects and questions will be submitted in English.
- E-learning materials, self-paced: Access interactive digital materials and guided coding videos to study at your own pace, with one year of rewatching available.
- Learn-by-doing approach, weekly schedule: Apply your knowledge through weekly practice exercises, requiring 8-12 hours of study each week.
- Constant mentoring, live sessions: Receive feedback on projects, ask questions anytime, and join live sessions for personalized support.
- Exam, certificate: Complete an exam and/or hand in your final project at the end of the course to earn a certificate for your CV and LinkedIn profile.
Sándor BácsiTrainer:in
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Ádám Péter SzigetiTrainer:in
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Marcel RüfenachtBildungsberater:in
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