Applied AI / ML No-Code Learning Facilitator

We are seeking a highly motivated and knowledgeable No-Code AI & Machine Learning Trainer to deliver a practical, hands-on program that enables students to design, build, and deploy AI / ML solutions using no-code and low-code platforms. The trainer will bridge theory with practice, empowering students to implement machine learning, computer vision, NLP, and automation workflows without writing complex code.

Key Responsibilities

• Deliver engaging sessions on AI / ML fundamentals and no-code tools such as Obviously.Ai, Peltarion, Teachable Machine, and DataRobot.
• Conduct hands-on training on data preparation, model building, and deployment using cloud-based platforms (Google AutoML, Azure ML Studio).
• Guide students through real-world AI use cases including predictive analytics, chatbots, computer vision, and workflow automation.
• Mentor students in capstone projects—from dataset preparation to model deployment and presentation.
• Train students on AI app development using Bubble, Glide, and AppSheet.
• Introduce AI ethics, explainability, and responsible AI principles through case discussions and activities.
• Support academic coordinators in assessment design, progress tracking, and project evaluations.
• Stay current with emerging no-code AI tools and best practices to ensure industry relevance.

Technical Expertise Required

Preferred Qualifications