Course Outline

Introduction to Edge AI Optimization for Government

  • Overview of edge AI and its challenges in public sector applications
  • Importance of model optimization for edge devices in government operations
  • Case studies of optimized AI models deployed in edge environments for government use

Model Compression Techniques for Government

  • Introduction to model compression and its relevance to public sector technology
  • Techniques for reducing model size to enhance efficiency in government systems
  • Hands-on exercises for model compression tailored to government applications

Quantization Methods for Government

  • Overview of quantization and its benefits for government operations
  • Types of quantization (post-training, quantization-aware training) and their applicability to public sector use cases
  • Hands-on exercises for model quantization in a government context

Pruning and Other Optimization Techniques for Government

  • Introduction to pruning and its importance for government AI models
  • Methods for pruning AI models to improve performance in government systems
  • Other optimization techniques (e.g., knowledge distillation) and their application in the public sector
  • Hands-on exercises for model pruning and optimization specific to government needs

Deploying Optimized Models on Edge Devices for Government

  • Preparing the edge device environment for government operations
  • Deploying and testing optimized models in a government setting
  • Troubleshooting deployment issues specific to public sector applications
  • Hands-on exercises for model deployment tailored to government use cases

Tools and Frameworks for Optimization for Government

  • Overview of tools and frameworks (e.g., TensorFlow Lite, ONNX) suitable for government applications
  • Using TensorFlow Lite for model optimization in a public sector context
  • Hands-on exercises with optimization tools designed for government use

Real-World Applications and Case Studies for Government

  • Review of successful edge AI optimization projects in the public sector
  • Discussion of industry-specific use cases relevant to government operations
  • Hands-on project for building and optimizing a real-world application for government use

Summary and Next Steps for Government

Requirements

  • A comprehensive understanding of artificial intelligence and machine learning principles for government applications
  • Practical experience in the development of AI models for government projects
  • Fundamental programming skills, with a recommendation for proficiency in Python

Audience

  • Artificial intelligence developers for government agencies
  • Machine learning engineers for government initiatives
  • System architects for government IT infrastructure
 14 Hours

Number of participants


Price per participant

Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.

Testimonials (2)

the ML ecosystem not only MLFlow but Optuna, hyperops, docker , docker-compose

Guillaume GAUTIER - OLEA MEDICAL
Course - MLflow

I enjoyed participating in the Kubeflow training, which was held remotely. This training allowed me to consolidate my knowledge for AWS services, K8s, all the devOps tools around Kubeflow which are the necessary bases to properly tackle the subject. I wanted to thank Malawski Marcin for his patience and professionalism for training and advice on best practices. Malawski approaches the subject from different angles, different deployment tools Ansible, EKS kubectl, Terraform. Now I am definitely convinced that I am going into the right field of application.

Guillaume Gautier - OLEA MEDICAL | Improved diagnosis for life TM
Course - Kubeflow

Upcoming Courses

Optimizing AI Models for Edge Devices

2026-01-08 09:30
14 hours
New York (NYC) - Midtown Manhattan - Madison Ave.
$ 2703 (Online)
$ 3903 (Classroom)

Optimizing AI Models for Edge Devices

2026-01-22 09:30
14 hours
NY, Brooklyn - One Pierrepont Plaza
$ 2703 (Online)
$ 3903 (Classroom)

Optimizing AI Models for Edge Devices

2026-02-05 09:30
14 hours
Albany, NY – Regus at Brandon Place
$ 2703 (Online)
$ 3903 (Classroom)

Optimizing AI Models for Edge Devices

2026-02-19 09:30
14 hours
Buffalo, NY – Regus Key Center
$ 2703 (Online)
$ 3903 (Classroom)

Optimizing AI Models for Edge Devices

2026-03-05 09:30
14 hours
Houston, TX - Regus – Downtown at Pennzoil Place
$ 2703 (Online)
$ 3903 (Classroom)

Optimizing AI Models for Edge Devices

2026-03-19 09:30
14 hours
Houston, TX – Regus at Capital One Building
$ 2703 (Online)
$ 3903 (Classroom)

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