Posted:1 week ago|
Platform:
On-site
Part Time
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
● No-Code ML Platforms: Obviously.ai, Peltarion, Levity.ai, Teachable Machine, DataRobot
● AutoML Tools: Google AutoML, Azure ML Studio, AWS Sagemaker Canvas
● Data Tools: Airtable, Retool, Datawrapper, Google Sheets
● No-Code App Builders: Bubble, Glide, AppSheet
● Chatbot Builders: Dialogflow, Voiceflow, Landbot
● Automation Tools: Zapier, Make (Integromat), Power Automate
● Domains Covered: Machine Learning, Computer Vision, NLP, Predictive Analytics
● Cloud Platforms: GCP, Azure, AWS (for AutoML and deployment)
Preferred Qualifications
● Bachelor’s / Master’s Degree in Computer Science, Artificial Intelligence, Data Science, or related field.
● 3–8 years of experience in AI/ML development, workflow automation, or data science education.
● Experience in teaching, mentoring, or corporate training (especially in no-code/low-code platforms).
● Strong understanding of machine learning concepts, including model evaluation, ethics, and deployment.Familiarity with AI integrations via APIs and automation workflows.
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