Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
Course Outline
Foundations of Edge AI and Nano Banana
- Defining characteristics of edge AI workloads
- Overview of Nano Banana architecture and capabilities
- Strategic comparison: Edge vs Cloud deployment
Readying Models for Edge Deployment
- Selecting models and establishing baseline metrics
- Assessing dependencies and compatibility requirements
- Preparing models for export and further refinement
Advances in Model Compression
- Applying pruning strategies and structural sparsity
- Utilizing weight sharing and reducing parameter count
- Assessing the impact of compression on performance
Quantization Strategies for Edge Optimization
- Techniques for post-training quantization
- Workflows for quantization-aware training
- Application of INT8, FP16, and mixed-precision techniques
Acceleration via Nano Banana
- Leveraging Nano Banana acceleration features
- Integration of ONNX and hardware backends
- Performance benchmarking for accelerated inference
Executing Deployment on Edge Devices
- Embedding models into mobile or embedded applications
- Managing runtime settings and performance monitoring
- Resolving common deployment challenges
Performance Analysis and Trade-off Management
- Managing latency, throughput, and thermal limits
- Balancing accuracy against performance constraints
- Implementing iterative optimization approaches
Maintenance Best Practices for Edge AI Systems
- Managing version control and continuous updates
- Handling model rollbacks and compatibility issues
- Addressing security and data integrity concerns
Recap and Future Steps
Requirements
- Comprehensive knowledge of machine learning pipelines
- Proficiency in model development using Python
- Working familiarity with neural network structures
Target Audience
- Machine Learning Engineers
- Data Scientists
- MLOps Practitioners
Testimonials (1)
Flow , vibe and topic on presentation
