MetaEdge AI Developer Certification
(50 Hours Program)
- Duration: 50 Hours
- Level: Intermediate → Advanced
- Focus: Edge AI + IoT
- Outcome: Edge AI Developer
- Includes: Real-time Systems + Deployment
Module-wise Curriculum (50 Hours)
Module 1: Edge AI Fundamentals (4 Hours)
- Edge vs Cloud AI
- Architecture & constraints
- Real-world use cases
Understand edge AI ecosystem
Module 2: Python & Embedded (6 Hours)
- Python for AI
- Hardware interfaces
- MicroPython basics
Prepare for device-level development
Module 3: Data Processing (5 Hours)
- Data pipelines
- Streaming data
- Compression & filtering
Efficient data handling
Module 4: ML for Edge (6 Hours)
- Lightweight ML models
- Model optimization
- Quantization & pruning
Train edge-ready models
Module 5: Deep Learning (6 Hours)
- CNNs for edge
- Model compression
- TensorFlow Lite / ONNX
Deploy neural networks
Module 6: Computer Vision (5 Hours)
- Real-time image processing
- Object detection
- Video pipelines
Vision-based AI apps
Module 7: Edge NLP & Voice (4 Hours)
- Lightweight NLP
- Speech-to-text
- Voice assistants
AI interaction on devices
Module 8: IoT Integration (4 Hours)
- MQTT & HTTP
- Device communication
- Security basics
Connect devices to systems
Module 9: Deployment (4 Hours)
- Model deployment
- OTA updates
- Monitoring & logging
Manage edge AI lifecycle
Module 10: Capstone Project (6 Hours)
- Smart surveillance
- IoT monitoring system
- Voice assistant
- Object detection
End-to-end edge AI system
Evaluation
- Assignments: 20%
- Labs: 30%
- Project: 40%
- Final: 10%
Skills You Gain
- Edge AI Architecture
- Model Optimization
- Real-time Systems
- IoT + AI Integration
- On-device Deployment
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