COEXRT-AI Training Program Registration
Please fill in your details and select your preferred program.
Program Information
Use this list to read about each program before selecting from the dropdown above.
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Digital STEM-AI Educator (Level 1–2) – Foundation to Explorer
– Beginner-level STEM-AI program focusing on coding basics and Arduino mini-projects using LEDs and sensors. (Duration: 4 days) -
Digital STEM-AI Educator (Level 3–4) – Explorer to Innovator
– Intermediate program covering AI, IoT, robotics and smart classroom prototypes with design thinking. (Duration: 4 days) -
Digital STEM-AI Educator (Level 5) – Innovator to Maker
– Maker-level course teaching AI content creation, prompt engineering and prototype building aligned with SDGs. (Duration: 4 days) -
Ai-Enabled Industrial Iot System Developer
– Hands-on Industrial IoT program building cloud-connected sensor systems and dashboards for smart factories. (Duration: 4 days) -
Ai-Infused Embedded Real-Time Control System With Prediction Model
– Program focused on real-time control systems enhanced with AI prediction models for automation. (Duration: 4 days) -
Sustainable Innovation Through AI (ESG + Responsible AI)
– Program linking AI with ESG, sustainability reporting and ethical innovation frameworks. (Duration: 3 days) -
Machine Learning Essentials
– Core ML program covering data prep, model building, evaluation and practical ML applications. (Duration: 3 days) -
Cybersecurity — ML for Threat Detection & Response (CCTMLA)
– Advanced course using ML to detect anomalies, phishing and cyber threats in real-time. (Duration: 3 days) -
Generative AI Essentials & Prompt Engineering
– Introduction to GenAI tools, safe usage, content creation workflows and effective prompt design. (Duration: 3 days) -
Data-Aware AI Prompting for Analysts
– Program teaching analysts how to use AI safely with structured data, validation and insight generation. (Duration: 3 days) -
Precision Farming using AI
– Applied AgriTech training with sensors, imaging and AI-based crop health monitoring. (Duration: 3 days)