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Course Outline
Introduction to AI
- History of AI
- Definitions and terminology
- AI vs. human intelligence
- Future trends and potential
Machine Learning Basics
- Types of machine learning: supervised, unsupervised, reinforcement
- Key ML algorithms
- ML workflow: from data collection to model evaluation
Data Management
- Data collection techniques
- Data cleaning and preprocessing
- Data analysis and visualization
AI in Practice
- Case studies of AI applications
- Industry-specific AI solutions
- AI in consumer products
Ethical Considerations
- AI and job displacement
- Bias and fairness in AI
- Privacy and security issues
- Future of AI ethics
Lab Project
- Python programming assignments
- Data analysis projects using real-world datasets
- Development of a simple ML model
Summary and Next Steps
Requirements
- An understanding of basic programming concepts
- Experience with Python programming
- Familiarity with basic statistics and mathematics
Audience
- IT Professionals
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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Testimonials (1)
Step by step training with a lot of exercises. It was like a workshop and I am very glad about that.
