Foundation in [Responsible] AI | (3-days)

This course is designed and provided by Vincenzo Marchese.

Vincenzo has over 20 years’ experience in IT, holds a MSc in Informatics from the University of Pisa, a MBA from University of Warwick, and has led the initiative for Responsible AI in a global Financial Services firm. See profile for details.

Price includes VAT.

Scheduled Classroom Courses:
- Sept 6, 7, 8 [complete]
- Oct 12, 13, 14 [complete]
- Nov 16, 17, 18 [complete]
[Contact Vincenzo for dates in 2022]

Course Overview
The consensus view is that Artificial Intelligence (AI) will transform all industries; but is that true?
Demystifying and understanding this new, disruptive technology is a must-have skill for all professional, in all sectors.
This three-days classroom-based course provides you with a core understanding of AI. You will gain insights into business applications, and build the skills needed to identify and evaluate an AI opportunity. You will also gain a broad understanding of the key risks and barriers to adoption. Finally, you will review industry leading implementation practices.

What you will gain
+ Thorough intuitive understanding (not the actual maths!) of what is under the hood, so that you can distinguish the hype from reality.
+ In-depth understand of learning approaches (Supervised, Unsupervised, Reinforcement, Evolutionary, etc.), and matching each to the types of problems it can help solving
+ Solid understand of the technologies behind AI (Machine Learning, Neural Networks, Deep Learning, NLP, etc.)
+ Become familiar with basic concepts and key terms, enabling you to have meaningful conversations with experts
+ Understanding of the business case, opportunity, and risk of Artificial Intelligence
+ Knowledge of an extensive set of detailed real use cases, both in terms of horizontal capabilities and specialised vertical solutions
+ Thorough appreciation of the technological limitations, ethical concerns, legal obligations and business risks of AI Systems.
+ Detailed understanding of the essential components of an implementable framework for Responsible AI, from principles, to governance, to tools and techniques.
+ In-depth understanding of the entire AI/ML Lifecycle: from strategy, to implementation, to operation, enabling you to launch your AI initiative

Why should you attend this course
For organisations, lack of knowledge is a key barrier to successful and responsible adoption. Lack of knowledge is also a barrier to your personal professional advancement.
This programme is for you, if you want to:
+ Develop a solid and demystified understanding of the technology: its history, functionality and potential, as well as its limitations.
+ Explore the opportunities for applying AI in your organisation and develop a business case for its responsible adoption.
+ Raise awareness within your organisations of the limitation and challenges (including ethical) of AI, an introduce a Framework for Responsible AI
+ Establish AI as a business capability rather than a set of specific solutions

Specific roles targeted by the course
This course is designed for business & technology leaders looking to understand business opportunities and risks of AI, and aiming to bridge the gap between business and technology.
- Chief Information Officers & Heads of Technology
- Chief Technology Officers
- Chief Data Officers
- Compliance and Risk Officers/Managers
- Enterprise & Solution Architects
- Directors/Heads of AI CoEs
- Portfolio/Programme/Project Managers
- Product Managers
- Planning and Investment Managers
- Innovation Managers
- Business Analysts aiming to get involved with AI/ML projects

There are no prerequisites for our course

What to Expect
+ Theoretical foundation on the fields of AI and Machine Learning (required for attaining BCS AI Fundamentals Certificate)
+ Basic concepts and key terms, enabling you to have meaningful conversations with experts
+ A detailed review of the business and societal opportunity of successful and responsible AI
+ A detailed review of business risks and ethical concerns related to AI, and how to best mitigate them in your organisation
+ A detailed review of the entire AI Lifecycle: from strategy to implementation, enabling you to set up and lead AI initiative(s).
The course is about state of the art AI, and does not meaningfully cover topics such as super intelligence or singularity.
In-depth mathematics and ML coding are not covered, and are not a pre-requisite

How will you learn
Structured classroom lectures, supported by group discussions and activities

Delivery: Classroom (workspace)
Level: Foundation
Day & Time:
Week Days
What is included:
Digital courseware
Digital Recording
Printed courseware
Extra revision sessions
Starts: January 2022
Duration: 2 days

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