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Course Outline
Introduction to Artificial Intelligence
- What is AI and where is it used?
- AI vs. Machine Learning vs. Deep Learning
- Popular tools and platforms
Python for AI
- Python basics refresher
- Using Jupyter Notebook
- Installing and managing libraries
Working with Data
- Data preparation and cleaning
- Using Pandas and NumPy
- Visualization with Matplotlib and Seaborn
Machine Learning Basics
- Supervised vs. Unsupervised Learning
- Classification, regression, and clustering
- Model training, validation, and testing
Neural Networks and Deep Learning
- Neural network architecture
- Using TensorFlow or PyTorch
- Building and training models
Natural Language and Computer Vision
- Text classification and sentiment analysis
- Image recognition basics
- Pre-trained models and transfer learning
Deploying AI in Applications
- Saving and loading models
- Using AI models in APIs or web apps
- Best practices for testing and maintenance
Summary and Next Steps
Requirements
- An understanding of programming logic and structures
- Experience with Python or similar high-level programming languages
- Basic familiarity with algorithms and data structures
Audience
- IT systems professionals
- Software developers seeking to integrate AI
- Engineers and technical managers exploring AI-based solutions
40 Hours
Delivery Options
Private Group Training
Our identity is rooted in delivering exactly what our clients need.
- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from €11400 online delivery, based on a group of 2 delegates, €3600 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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Public Training
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