Course Outline

Introduction to AI Engineering

  • What is AI engineering?
  • The evolution of AI and its impact on engineering
  • Key concepts and terminology in AI

Core AI Technologies

  • Understanding machine learning
  • Deep learning and neural networks
  • Natural language processing (NLP)

AI Problem Solving

  • Identifying problems suitable for AI solutions
  • Data collection and preprocessing
  • Model selection and training

AI in Software Development

  • AI tools for developers
  • Integrating AI into existing systems
  • Version control and model management

AI and Data Engineering

  • Big data technologies and their role in AI
  • Data pipelines and ETL processes
  • Data storage and management for AI

Ethical AI

  • Understanding bias and fairness in AI systems
  • Privacy and security in AI engineering
  • Ethical considerations and best practices

AI Project Management

  • Agile methodologies for AI projects
  • Team roles and responsibilities
  • Documentation and reporting

Hands-On AI Engineering

  • Setting up your AI development environment
  • Building and evaluating simple AI models
  • Collaborative AI engineering projects

The Future of AI Engineering

  • Emerging trends in AI
  • Continuous learning and skill development
  • Career opportunities in AI engineering

Summary and Next Steps

Requirements

  • An understanding of basic programming concepts
  • Experience with Python programming
  • Familiarity with basic statistics and linear algebra

Audience

  • AI engineers
  • Software developers
  • Data analysts
 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.
Investment

Price per private group, online live training, starting from 3200 € + VAT*

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