AI Development
Your individual AI solution - from idea to implementation
For companies that have already acquired basic knowledge in AI and now want to take the next step, we offer specialized packages for the implementation of AI projects.
Our outstanding supporters
Your benefits
What you can expect from this seminar
Fast and efficient implementation
Seamless integration
Sustainable optimization
Measurable added value
What you'll have after the seminar
Concrete results and deliverables
Production-ready AI prototype or complete solution
Comprehensive technical documentation
Deployment pipeline and monitoring setup
Trained internal team
Performance metrics and KPIs
Maintenance and development plan
Why you should start AI development now
Take advantage of the opportunities before it's too late
AI frameworks and tools are mature and production-ready
The costs for AI development have dropped dramatically
Pre-trained models significantly accelerate development
Your data is waiting to be converted into value
Secure first-mover advantages in your industry
Talented AI developers are available now
About this seminar
For companies that have already acquired basic knowledge in AI and now want to take the next step, we offer specialized packages for the implementation of AI projects. Our offerings combine data-driven analysis, agile methodology, and cutting-edge technologies to develop customized AI models and tools for your requirements.
Objectives
- Development of production-ready AI solutions
- Implementation of agile AI development processes
- Integration of AI models into existing systems
- Building internal AI development competencies
Learning Outcomes
- Mastery of modern AI development frameworks
- Ability to develop scalable AI solutions
- Competence in agile AI projects
- Expertise in AI model deployment and monitoring
Our methodology
- Agile development with sprint-based cycles
- Continuous integration and testing
- Iterative model improvement
- Stakeholder feedback loops
- MLOps best practices
Deliverables
- Working AI prototype or full implementation
- Technical documentation and code
- Deployment and monitoring setup
- Training materials for internal team
Seminar Details
Target Audience
IT leaders, development managers, and technical executives with basic AI knowledge
Format
Hybrid
Duration
4-12 weeks depending on project scope
Group Size
2-6 developers plus stakeholders
Prerequisites
- • Basic knowledge in AI and Machine Learning
- • Technical understanding of software development
- • Access to relevant data sources
- • Defined use cases
Agenda
- • Week 1-2: Data analysis and model architecture
- • Week 3-6: Development and training
- • Week 7-8: Integration and testing
- • Week 9-12: Deployment and optimization
Tools & Methods
- • TensorFlow/PyTorch
- • MLflow
- • Docker/Kubernetes
- • CI/CD pipelines
Typical day schedule
Our packages
Agile Sprint for Data Analysis
Quick and efficient entry into AI development
Contents:
- Detailed data analysis and inventory
- Identification and prioritization of AI use cases
- Economic and feasibility analysis
- Concrete recommendations for next steps
Your results:
- AI potential analysis
- Prioritized use cases
- Feasibility assessment
- Action recommendations
Development of an AI Prototype
Development and testing of a concrete AI prototype
Contents:
- Development of a functional AI prototype
- Iterative adjustments to achieve goals
- Presentation and testing of the prototype
- Adaptation based on feedback
Your results:
- Running AI prototype
- Technical documentation
- Presentation material
- Action recommendations
Complete AI Project
Development and implementation of a production-ready AI solution
Contents:
- Development and training of a customized AI model
- Integration into existing systems and processes
- Adaptation to specific business requirements
- Training of your team
- Ongoing support and optimization
Your results:
- Production-ready AI solution
- Complete integration
- Trained team
- Support & maintenance
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We analyze your specific requirements
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