AI Quality Certification Program (AIQCP)

COURSE OVERVIEW

The AI Quality Certification Program (AIQCP) is a certified training program that provides individuals and organisations with the necessary knowledge and skills to effectively manage the quality of AI systems and products across all organisational functions and industries.

This program has two levels and focuses on the assessment and assurance of AI quality, comprising safety, security, legal, ethics, performance, and sustainability aspects. Level 1 provides foundational knowledge on AI quality, while Level 2 concentrates on the practical implementation of AI quality management systems.

Participants in this program, led by AI experts actively involved in standardisation, regulation, and practical implementation of AI quality management systems, will gain valuable insights into internationally accepted methodologies, standards, regulations, and best practices for assuring the quality of AI.

The course provides course materials, templates, and guidance for implementing AI quality management systems. Upon completion and successful examination, participants will be awarded a certificate, proving their competence and ability to assume AI and data quality management responsibilities within their organisations.

This course is a vital foundation for scaling AI, complying with regulations, and demonstrating responsible AI use to mitigate financial, legal, and reputational risks.

What will you LEARN?

Importance and impact of AI in various industries and societies.
Challenges and failures in AI and strategies to address them.
AI system architecture and design principles.
Identification of AI stakeholders and their roles.
AI quality model: safety, security, legal compliance, ethics, and performance.
Risk assessment for AI implementation.
AI governance process framework and controls.
AI data quality and data life cycle management.
Application of AI quality frameworks in daily operations.
AI standards and regulatory activities.

WHAT BENEFITS CAN YOU EXPECT FROM THIS PROGRAM?

Knowledge & Skills, Certification & Risk Management, Expert Engagement, AI Scaling & Compliance

COURSE CONTENT

AIQCP Foundation: Level 1 – Engineer
1. Motivation and requirements
  - Introduction to AI and the need for AI quality
  - Current and upcoming standards and regulation of AI
  - Roles, responsibilities and liabilities
2. AI quality
  - Terms and definitions
  - Key pillars of AI quality
  - The AI quality life cycle
  - AI quality management
3. AI quality framework
  - Methodology and key elements to establish an AI quality management system
  - AI governance requirements
  - AI quality management in a case study
  - IEEE AI ethics
4. Applying AI framework
  - Plan an AI quality management system
  - Control of AI quality parameters
  - Testing and assessing AI
5. Examination
  - Multiple Choice Test

Schedule: AIQCP Level 1

Region	Dates (2024)		Training Time (Timezone)
Asia	Training:	27 Feb	SGT: 0900hrs – 1500hrs (UTC +8)
		28 Feb	SGT: 0900hrs – 1500hrs (UTC +8)
		29 Feb	SGT: 0900hrs – 1200hrs (UTC +8)
	Examination:	4 Mar	SGT: 0900hrs – 1030hrs (UTC +8)
Europe	Training:	19 Mar	CET : 0900hrs – 1500hrs (UTC +1)
		20 Mar	CET : 0900hrs – 1500hrs (UTC +1)
		21 Mar	CET : 0900hrs – 1200hrs (UTC +1)
	Examination:	25 Mar	CET : 0900hrs – 1030hrs (UTC +1)
Asia	Training:	15 Apr	SGT: 0900hrs – 1500hrs (UTC +8)
		16 Apr	SGT: 0900hrs – 1500hrs (UTC +8)
		17 Apr	SGT: 0900hrs – 1200hrs (UTC +8)
	Examination:	22 Apr	SGT: 0900hrs – 1030hrs (UTC +8)
Europe	Training:	06 May	CET : 0900hrs – 1500hrs (UTC +2)
		07 May	CET : 0900hrs – 1500hrs (UTC +2)
		08 May	CET : 0900hrs – 1200hrs (UTC +2)
	Examination:	13 May	CET : 0900hrs – 1030hrs (UTC +2)
Americas	Training:	03 Jun	EDT : 0900hrs – 1500hrs (UTC -4)
		04 Jun	EDT : 0900hrs – 1500hrs (UTC -4)
		05 Jun	EDT : 0900hrs – 1200hrs (UTC -4)
	Examination:	10 Jun	EDT: 0900hrs – 1030hrs (UTC -4)
Asia	Training:	24 Jun	SGT: 0900hrs – 1500hrs (UTC +8)
		25 Jun	SGT: 0900hrs – 1500hrs (UTC +8)
		26 Jun	SGT: 0900hrs – 1200hrs (UTC +8)
	Examination:	2 Jul	SGT: 0900hrs – 1030hrs (UTC +8)
Europe	Training:	16 Jul	CET : 0900hrs – 1500hrs (UTC +2)
		17 Jul	CET : 0900hrs – 1500hrs (UTC +2)
		18 Jul	CET : 0900hrs – 1200hrs (UTC +2)
	Examination:	22 Jul	CET : 0900hrs – 1030hrs (UTC +2)
Asia	Training:	19 Aug	SGT: 0900hrs – 1500hrs (UTC +8)
		20 Aug	SGT: 0900hrs – 1500hrs (UTC +8)
		21 Aug	SGT: 0900hrs – 1200hrs (UTC +8)
	Examination:	26 Aug	SGT: 0900hrs – 1030hrs (UTC +8)
Europe	Training:	23 Sep	CET : 0900hrs – 1500hrs (UTC +2)
		24 Sep	CET : 0900hrs – 1500hrs (UTC +2)
		25 Sep	CET : 0900hrs – 1200hrs (UTC +2)
	Examination:	30 Sep	CET : 0900hrs – 1030hrs (UTC +2)
Americas	Training:	21 Oct	EDT : 0900hrs – 1500hrs (UTC -4)
		22 Oct	EDT : 0900hrs – 1500hrs (UTC -4)
		23 Oct	EDT : 0900hrs – 1200hrs (UTC -4)
	Examination:	28 Oct	EDT: 0900hrs – 1030hrs (UTC -4)
Europe	Training:	25 Nov	CET : 0900hrs – 1500hrs (UTC +1)
		26 Nov	CET : 0900hrs – 1500hrs (UTC +1)
		27 Nov	CET : 0900hrs – 1200hrs (UTC +1)
	Examination:	02 Dec	CET : 0900hrs – 1030hrs (UTC +1)
Asia	Training:	04 Dec	SGT: 0900hrs – 1500hrs (UTC +8)
		05 Dec	SGT: 0900hrs – 1500hrs (UTC +8)
		06 Dec	SGT: 0900hrs – 1200hrs (UTC +8)
	Examination:	09 Dec	SGT: 0900hrs – 1030hrs (UTC +8)

For partners, group discounts, existing customers or academic discounts contact us at [email protected].

AIQCP Professional: Level 2 – Practitioner
This training builds on the AIQCP Engineer Level 1 and enables to apply the AI quality framework to concrete AI products and systems. Participants will also gain an overview of the latest developments in regulations and standardisation. A minimum of 1 year of industry experience in AI quality management are beneficial.

Participants aims at taking over AI quality responsibilities

Course content:
1. Recap of AI quality
  - AI quality framework concepts
  - Relevant standards and regulations
  - Application methodology, tools and templates
  - Qualitative and quantitative metrics
  - IEEE AI ethics
2. Application of AI quality framework
  - Introduction to use cases
  - Step-by-step implementation process
  - Design of an individual AI QMS use case
3. Analysis
  - Presentation and discussion of use case
  - Refinement of use case based on lessons learned
  - Compiling of an AI quality report for the use case
4. Examination
  - Multiple Choice Test
  - Design AI QMS to given use case

Who shouLD ATTEND?

This programme is aimed at professionals who want to understand, control and manage quality of AI and are involved in projects at any stage of the AI life cycle, from conception to decommissioning:

AI Developers and Engineers
AI Practitioners and Data Architects
Data Engineers and Scientists
Quality and Technology Managers
Software Developers and Engineers
System Administrators

instructors

Top TÜV SÜD experts for AI quality.

AI Quality Certification Program (AIQCP)

COURSE OVERVIEW

What will you LEARN?

WHAT BENEFITS CAN YOU EXPECT FROM THIS PROGRAM?

COURSE CONTENT

Who shouLD ATTEND?

instructors

EXPLORE

Artificial Intelligence

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