Course Outline

Introduction to Artificial Intelligence and Core Concepts

  • Definitions and evolution of AI
  • Overview of AI technologies and disciplines
  • Difference between Narrow AI, General AI, and Super AI

AI Techniques and Tools

  • Machine learning (supervised, unsupervised, reinforcement learning)
  • Natural language processing (NLP)
  • Robotics and computer vision
  • Neural networks and deep learning basics

The Role of Data in AI

  • Data collection and pre-processing
  • Big data and its impact on AI
  • AI model training and validation

Practical AI Use Cases in Different Industries

  • AI in finance, healthcare, logistics, and retail
  • Real-world success stories and case studies

Benefits of Implementing AI Solutions

  • Improved efficiency and decision-making
  • Enhanced customer experience
  • Opportunities for innovation

Challenges and Limitations of AI

  • Data privacy and security concerns
  • Lack of interpretability and bias in AI models
  • Skill gaps and resistance to AI adoption

Risks and Mitigation Strategies

  • Identifying and addressing AI-related risks
  • Building trust through transparency and fairness
  • Examples of failed AI implementations

AI Project Lifecycle and Governance

  • Phases of an AI project lifecycle
  • Governance frameworks for managing AI projects
  • Stakeholders' roles and responsibilities

AI Ethics and Responsible AI Development

  • Ethical concerns: bias, fairness, and accountability
  • Frameworks for responsible AI
  • Impact of AI on society and employment

AI Governance and Regulation

  • Overview of AI governance frameworks
  • Importance of compliance with regulations
  • Case studies on AI ethics and compliance failures

BCS Exam Overview and Preparation

  • Structure and format of the BCS exam
  • Key topics to focus on for the exam
  • Sample exam questions and discussion

Summary and Next Steps

Requirements

  • No prerequisites required

Audience

  • IT professionals
  • Business managers
  • Developers
 21 Hours

Delivery Options

Private Group Training

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  • 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 €6840 online delivery, based on a group of 2 delegates, €2160 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.

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