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Course Outline
Foundations of Edge AI and Nano Banana
- Defining the core attributes of edge AI workloads
- Exploring the architecture and features of Nano Banana
- Contrasting edge versus cloud deployment methods
Model Preparation for Edge Scenarios
- Selecting models and establishing performance baselines
- Assessing dependencies and system compatibility
- Exporting models to facilitate further optimization
Advanced Model Compression Strategies
- Applying pruning techniques and structural sparsity
- Implementing weight sharing and reducing parameter counts
- Measuring the effect of compression on performance
Quantization for Enhanced Edge Performance
- Utilizing post-training quantization methods
- Executing quantization-aware training processes
- Employing INT8, FP16, and mixed-precision strategies
Leveraging Nano Banana for Acceleration
- Utilizing Nano Banana’s acceleration capabilities
- Integrating ONNX standards and hardware backends
- Conducting benchmarks on accelerated inference
Deployment onto Edge Hardware
- Integrating models into embedded or mobile applications
- Configuring runtimes and monitoring systems
- Resolving common deployment challenges
Performance Analysis and Trade-off Assessment
- Managing latency, throughput, and thermal limits
- Balancing accuracy against performance metrics
- Applying iterative optimization approaches
Best Practices for Sustaining Edge AI Systems
- Managing version control and continuous updates
- Handling model rollback and compatibility issues
- Addressing security and integrity requirements
Conclusions and Future Directions
Requirements
- A solid grasp of machine learning workflows
- Proficiency in Python-based model development
- Working knowledge of neural network architectures
Target Audience
- Machine Learning Engineers
- Data Scientists
- MLOps Specialists
14 Hours
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 2600 € + VAT*
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