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Course Outline
Introduction to Artificial Intelligence
- Defining AI and its real-world applications.
- Distinguishing between AI, Machine Learning, and Deep Learning.
- Overview of widely used tools and platforms.
Python for AI Development
- Refresher on fundamental Python concepts.
- Utilizing Jupyter Notebook effectively.
- Managing library installation and dependencies.
Data Manipulation
- Techniques for data preparation and cleaning.
- Leveraging Pandas and NumPy for data analysis.
- Data visualization using Matplotlib and Seaborn.
Fundamentals of Machine Learning
- Comparing Supervised and Unsupervised Learning approaches.
- Exploring classification, regression, and clustering techniques.
- Processes for model training, validation, and testing.
Neural Networks and Deep Learning
- Understanding neural network architectures.
- Implementing models with TensorFlow or PyTorch.
- Constructing and training deep learning models.
Natural Language Processing and Computer Vision
- Text classification and sentiment analysis techniques.
- Basics of image recognition systems.
- Utilizing pre-trained models and transfer learning strategies.
Deploying AI in Applications
- Methods for saving and loading models.
- Integrating AI models into APIs and web applications.
- Best practices for testing and ongoing maintenance.
Conclusion and Future Pathways
Requirements
- A solid grasp of programming logic and structural design
- Proficiency in Python or comparable high-level programming languages
- Foundational knowledge of algorithms and data structures
Target Audience
- IT system specialists
- Software developers looking to incorporate AI capabilities
- Engineers and technical managers investigating AI-based solutions
40 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 8000 € + VAT*
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Testimonials (1)
That i gained a knowledge regarding streamlit library from python and for sure i'll try to use it to improve applications in my team which are made in R shiny
