No-Code AI Development

This course is ideal for entrepreneurs, marketers, and developers who want to harness AI for business efficiency, data-driven marketing, and rapid prototyping. It’s also perfect for anyone looking to automate workflows and leverage AI without coding.

This course empowers participants to develop AI-driven business solutions without any programming knowledge, using no-code AI tools. You will gain hands-on experience with popular platforms like Zapier, Make, and RelevanceAI, learn to build machine learning models with Google AutoML and Amazon SageMaker, and create AI-powered chatbots and recommendation systems. Additionally, you will explore data visualization, predictive analysis, and real-world AI project development while staying updated on emerging No-Code AI trends. No-code tools offer a fast, cost-effective, and accessible way to implement AI, making them ideal for professionals looking to enhance efficiency and gain a competitive edge without coding expertise.

• 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.

• 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.