Training Overview
In today’s competitive landscape, the speed of Ai innovation far exceeds our capacity to keep up – in terms of strategy, governance, and potential harms. This course is designed in response to that widening gap.
We’ve designed a course for professionals and business leaders with no technical background who are interested in gaining a foundational understanding of Ai.
We employ a blend of lectures, case studies, and hands-on projects to cut straight to the core of Ai concerns, shedding light on key aspects of the Ai and tech revolution and how it impacts you, your industry, and your organisation.
In other words – Ai without the hype.
What You Can Expect
Our Pre-Training Assessment ensures your training experience is tailored to your specific context and needs.
Our sessions are led by technical and non-technical Ai experts and are highly interactive, with an opportunity for live engagement, including Q&A sessions and discussions. In addition, we feature guest speakers who bring diverse perspectives and practical insights to enrich thelearning experience.
Following the training, we invite you to reach out with further questions or clarification – within a defined scope.
To further support and reinforce your ongoing learning, we provide a Learning Toolkit to complement your training experience by offering curated resources, toolkits, case studies, exercises, and selected readings, articles, and research papers.
To ensure your undivided focus during the session, we provide you with comprehensive ‘class notes’ and training slides. This way, you can fully immerse yourself in the content during the session.
Upon successful completion, you’ll receive a sharable certificate
Indicative Training Modules
- Understanding and Defining Ai
- The history and evolution of Ai
- How Does Ai Actually Learn? (Machine Learning, Deep Learning)
- The State of Ai Today
- Key Concepts
Opportunities
Explore AI applications and Use Cases in different domains
Use cases in local context
- Exploring strategies to support your implementation of Ai
Challenges
Ai and cyber security
Legal, Ethical and Social Implications of Ai
Case Study [Decision-Making Algorithms and bias]
Discussion Question: How can AI developers address bias and fairness issues? Who is responsible when something goes wrong with Ai?
AI’s influence on the job & labour market
Discussion Question: How can societies adapt to the changing job landscape due to AI?
What policies can mitigate the negative impacts of AI on employment?
The Intersection of Law and AI
Legal Frameworks Governing AI
Local and Global Governance Trends
Organisational Best Practices for AI Governance
- How to procure Ai responsibly
Step-by-Step Guide: Undertaking a Machine Learning Project
Case Studies: Real-world Implementations of Ai
Risk Management: Legal and Ethical Considerations
For the final unit, we will collaboratively design an Ai project proposal based on your chosen Ai application. We will take you through a step-by-stem plan for designing an Ai project, using the Machine Learning Workflow. We will develop the proposal together during the session, followed by in-depth discussion on how the implementation and risk management will look like.
What problem in your industry could benefit from AI solutions?
How can AI enhance the project’s outcomes? (Brainstorm AI project ideas.)
Define the project scope and objectives.
Identify potential Ai applications.
Practical: Designing Ai Projects
Create a project plan and timeline.
Allocate roles and responsibilities. key milestones in your project plan?
Flexible Delivery
One-on-One Executive Training
Get individualised attention to hone in on specific challenges and goals.
Team Training
Build collective skills and a united Ai strategy for your team.
Organisational Training
Align multiple departments or levels in your organisation around a coherent understanding of Ai’s potential and risks.
Custom Quotation
We know that each client is unique, and so we offer customised quotations to ensure that you’re getting the best value for your specific needs.
Next Steps?
Step 1
Interested? Leave us your details below and we will be in touch with you shortly.
Step 2
After a Pre-Training Assessment, our team develops a custom proposal outlining the training plan, timeline, and cost.
Step 3
The training is delivered live, allowing for real-time interaction, Q&A, and problem-solving.
Past Training sessions include:
- Guide: How to Procure Ai Responsibly
- Introduction to Artificial Inteligence: Generative Ai
- Transforming Business with Artificial Intelligence
- Ai and Network Performance Optimisation in Telecoms Industry
- Artificial Intelligence: An introduction for Young People
- Detecting Bias in Algorithmic Decision Making
- Cyber Resilience and Data Protection in the Age of Ai
- Artificial Intelligence and Gender Equality
- Boardroom Ai Playbook: Towards Ai Governance
