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Course Outline
Introduction to Model Optimization and Deployment
- Overview of DeepSeek models and deployment challenges.
- Understanding model efficiency: speed vs. accuracy.
- Key performance metrics for AI models.
Optimizing DeepSeek Models for Performance
- Techniques for reducing inference latency.
- Model quantization and pruning strategies.
- Using optimized libraries for DeepSeek models.
Implementing MLOps for DeepSeek Models
- Version control and model tracking.
- Automating model retraining and deployment.
- CI/CD pipelines for AI applications.
Deploying DeepSeek Models in Cloud and On-Premise Environments
- Choosing the right infrastructure for deployment.
- Deploying with Docker and Kubernetes.
- Managing API access and authentication.
Scaling and Monitoring AI Deployments
- Load balancing strategies for AI services.
- Monitoring model drift and performance degradation.
- Implementing auto-scaling for AI applications.
Ensuring Security and Compliance in AI Deployments
- Managing data privacy in AI workflows.
- Compliance with enterprise AI regulations.
- Best practices for secure AI deployments.
Future Trends and AI Optimization Strategies
- Advancements in AI model optimization techniques.
- Emerging trends in MLOps and AI infrastructure.
- Building an AI deployment roadmap.
Summary and Next Steps
Requirements
- Experience with AI model deployment and cloud infrastructure.
- Proficiency in a programming language (e.g., Python, Java, C++).
- Understanding of MLOps and model performance optimization.
Audience
- AI engineers optimizing and deploying DeepSeek models.
- Data scientists working on AI performance tuning.
- Machine learning specialists managing cloud-based AI systems.
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 3200 € + VAT*
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