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Course Outline
Introduction to Edge AI and Nano Banana
- Key characteristics of edge-AI workloads
- Nano Banana architecture and capabilities
- Comparing edge vs cloud deployment strategies
Preparing Models for Edge Deployment
- Model selection and baseline evaluation
- Dependency and compatibility considerations
- Exporting models for further optimization
Model Compression Techniques
- Pruning strategies and structural sparsity
- Weight sharing and parameter reduction
- Evaluating compression impacts
Quantization for Edge Performance
- Post-training quantization methods
- Quantization-aware training workflows
- INT8, FP16, and mixed-precision approaches
Acceleration with Nano Banana
- Using Nano Banana accelerators
- Integrating ONNX and hardware backends
- Benchmarking accelerated inference
Deployment to Edge Devices
- Integrating models into embedded or mobile applications
- Runtime configuration and monitoring
- Troubleshooting deployment issues
Performance Profiling and Trade-off Analysis
- Latency, throughput, and thermal constraints
- Accuracy vs performance trade-offs
- Iterative optimization strategies
Best Practices for Maintaining Edge-AI Systems
- Versioning and continuous updates
- Model rollback and compatibility management
- Security and integrity considerations
Summary and Next Steps
Requirements
- An understanding of machine learning workflows
- Experience with Python-based model development
- Familiarity with neural network architectures
Audience
- ML engineers
- Data scientists
- MLOps practitioners
14 Hours
Delivery Options
Private Group Training
Our identity is rooted in delivering exactly what our clients need.
- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from £3800 online delivery, based on a group of 2 delegates, £1200 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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