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Duration 14 hours
Course Outline
Introduction to Edge AI and Nano Banana
- Defining the key characteristics of edge-AI workloads
- Exploring Nano Banana’s architecture and core capabilities
- An analysis of edge versus cloud deployment strategies
Preparing Models for Edge Deployment
- Model selection and establishing baseline evaluations
- Reviewing dependency and compatibility requirements
- Exporting models to facilitate further optimisation
Model Compression Techniques
- Pruning strategies and achieving structural sparsity
- Weight sharing methods for parameter reduction
- Assessing the impact of compression on performance
Quantisation for Edge Performance
- Post-training quantisation methods
- Workflows for quantisation-aware training
- Applying INT8, FP16, and mixed-precision approaches
Acceleration with Nano Banana
- Leveraging Nano Banana accelerators
- Integrating ONNX formats with hardware backends
- Benchmarking the benefits of accelerated inference
Deployment to Edge Devices
- Integrating models into embedded or mobile applications
- Configuring and monitoring runtime environments
- Resolving common deployment challenges
Performance Profiling and Trade-off Analysis
- Managing latency, throughput, and thermal constraints
- Navigating the trade-offs between accuracy and performance
- Applying iterative optimisation strategies
Best Practices for Maintaining Edge-AI Systems
- Managing versioning and continuous updates
- Handling model rollbacks and compatibility
- Addressing security and integrity concerns
Summary and Next Steps
Requirements
- A solid grasp of machine learning workflows
- Proficiency in Python-based model development
- Knowledge of neural network architectures
Target Audience
- ML engineers
- Data scientists
- MLOps practitioners
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 3200 € + VAT*
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