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Course Outline
Introduction
Overview of Artificial Intelligence (AI)
- Machine learning systems
Exploring Applications for AI
- AI in the corporate context
Learning About the Technology of AI
- Underfit and overfit, classification, and regularization
- Multi-layer perception (MLP) and deep learning
- Convolutional and recurrent neural networks
Assessing Strategic Approaches
- Commissioning or procurement (build or buy?)
- AI maturity models for your organization
Working With Data in Your Organization
- Data readiness evaluation
- Word embeddings
- Training with artificial data
Assessing AI Project Selection
- Key criteria for project selection
Managing an AI Project
- Machine learning versus deep learning
- Project management (lifecycle, timescales, methodology)
- Operations, maintenance, and risk management
Gathering Feedback
- Implementing feedback methods (surveys, interviews, etc.)
- Key stakeholders who will provide feedback
- Analyzing results
Summary and Next Steps
Requirements
- No prerequisites required
Audience
- Business leaders
- Project managers
14 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 £3800 online delivery, based on a group of 2 delegates, £1200 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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