Course Outline
Computer Vision
Data Analysis and Visualization
Deep Learning and Neural Networks
Deployment and Scaling
Ethics and Future of AI
Introduction to AI and ML
Lab Project
Machine Learning Models
Natural Language Processing (NLP)
Summary and Next Steps
- AI application deployment strategies
- Scaling AI applications
- Monitoring and maintaining AI systems
- Developing a small-scale intelligent application
- Working with real-world datasets
- Collaborating on a group project to solve an industry-relevant problem
- Ethical considerations in AI
- AI policy and regulation
- Future trends in AI and ML
- Exploratory data analysis
- Data visualization techniques
- Statistical foundations for ML
- Fundamentals of neural networks
- Convolutional neural networks (CNNs)
- Recurrent neural networks (RNNs)
- Image processing fundamentals
- Object detection and image classification
- Advanced topics in computer vision
- Overview of AI and ML concepts
- Data collection and preprocessing
- Introduction to Python for AI
- Supervised learning algorithms
- Unsupervised learning algorithms
- Model evaluation and selection
- Text processing and feature extraction
- Sentiment analysis and text classification
- Language models and chatbots
Requirements
Audience
- AI professionals
- Software developers
- Data analysts
- An understanding of basic programming concepts
- Experience with Python and fundamental data science techniques
- Familiarity with core AI and ML principles
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 €9120 online delivery, based on a group of 2 delegates, €2880 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
Please see our public courses
Testimonials (1)
Step by step training with a lot of exercises. It was like a workshop and I am very glad about that.