EXIN BCS Generative Artificial Intelligence Award

Foundation Level

Gain a practical understanding of generative AI, how it works, where it can support business activities and how to use it responsibly. 

The EXIN BCS Generative Artificial Intelligence Award is a vendor-neutral certification for professionals who want a structured introduction to generative AI without requiring a technical background. It covers AI fundamentals, prompting, output validation, business use cases, implementation opportunities, data privacy, copyright, bias and responsible use.

Ready to build credible generative AI knowledge for your role?

Understand and apply generative AI responsibly

This one-day course explains the principles behind generative AI and how organisations can use it across content creation, analysis, automation, customer engagement and other business activities.

You will learn how to:

  • Explain AI and generative AI concepts in clear business terms
  • Understand how machine learning, deep learning and generative models relate to one another
  • Recognise how generative AI can support different business functions
  • Write prompts that produce more relevant outputs
  • Validate AI-generated information for accuracy and suitability
  • Identify realistic opportunities for generative AI adoption
  • Recognise bias, misinformation and other limitations
  • Consider data privacy, copyright, ethics and regulatory requirements
  • Assess how generative AI may affect organisations and society

The course provides a common AI vocabulary for business and technical teams, helping participants discuss generative AI opportunities and risks more effectively. 

Fees:

RM2,500

Intakes:

25 Sep 2026 | 18 Dec 2026

What are the key skills measured:

  • The meaning of AI and generative AI: History, terminology and key principles

  • Legal, ethical and regulatory considerations: Copyright, data protection, bias, accountability and responsible use 

  • Using generative AI: How people can use AI to support business activities 

  • Identifying and implementing opportunities: Selecting appropriate use cases and considering implementation 

  • The impact of generative AI: How the technology may affect business and society 

Who is this for?

  • Project and programme managers 

  • Business leaders and C-suite executives 

  • Product managers 

  • Business consultants 

  • Change practitioners 

  • Marketing professionals  

  • Content creators and copywriters  

  • Designers  

  • Developers  

  • Chief information officers  

  • Operations and customer service professionals  

  • Employees seeking a structured introduction to generative AI  

Generative AI literacy is becoming relevant across business roles

53%

Generative AI reached 53% population adoption within three years, according to Stanford HAI’s 2026 AI Index. The speed of adoption makes practical knowledge, critical evaluation and responsible use increasingly important.
Source: Stanford HAI, 2025 AI Index Report 

40%

Nearly 40% of SMEs that experienced a skills gap said generative AI helped compensate for it. However, organisations still need employees who can identify appropriate uses and evaluate AI-generated outputs. 
Source: OECD, AI and Skills 2026 Report 

2x

The skills required in the most AI-exposed jobs are changing more than 2x faster than as those in the least AI-exposed roles. This strengthens the case for AI literacy across both technical and non-technical functions. 
Source: PWC, 2026 AI Jobs Barometer

Build vendor-neutral AI knowledge 

Learn principles that apply across generative AI tools and platforms rather than focusing on one technology provider. 

Recognise legal and operational risks 

Build awareness of copyright, privacy, misinformation, bias and governance issues before introducing AI-generated content into business processes.

Use generative AI more effectively 

Understand prompting, output validation and use-case selection so you can apply generative AI with clearer objectives and better judgement. 

Demonstrate structured AI literacy 

Earn a globally recognised EXIN and BCS credential that confirms your understanding of generative AI fundamentals and responsible workplace use. 

Why choose Trainocate?

Trainocate delivers official AWS training through experienced instructors and practical, vendor-aligned courseware. Its recognition as an AWS Training Partner of the Year from 2022 to 2025 reflects its track record in developing AWS cloud and AI capabilities.

Exam Overview

Exam Code:

AIGAIA.EN

Category:

Fundamental

Exam Duration:

30 minutes

Exam Format:

20 multiple-choice or multiple-response questions

Passing score:

65% (13 out of 20)

Cost:

USD280
*Subject to applicable taxes and exchange rates

Language offered:

English

Testing Options:

EXIN Anywhere

Certification validity:

For life

Open up new possibilities for your career

Frequently Asked Questions (FAQs)

It is a foundation-level certification that validates practical knowledge of generative AI, prompting, business applications and responsible use.

The certification is jointly associated with EXIN and BCS and takes a vendor-neutral approach. It is intended for professionals who need to understand generative AI without learning programming or advanced machine learning.

Pro Tip: Use the syllabus headings as a preparation checklist because each represents a distinct area of knowledge assessed by the exam.

No, the course and certification do not require a technical background or prior AI experience.

The content explains generative AI in accessible business language. It is suitable for leaders, marketers, project managers, consultants, content professionals, developers and other roles.

Pro Tip: Before the course, list two tasks from your role that could benefit from generative AI so you can connect the concepts to your work.

You will learn generative AI fundamentals, business applications, prompting, output validation and responsible-use principles.

The course also covers how to identify suitable opportunities and consider legal, ethical, regulatory, privacy and copyright issues.

Pro Tip: Bring examples of AI-generated content you have used or reviewed so you can assess them against the validation and risk principles taught.

Yes, it introduces prompting techniques as part of using generative AI effectively.

The focus is on writing clearer instructions, understanding how prompts influence responses and checking whether the resulting content meets its intended purpose. It is not an advanced prompt-engineering or AI development programme.

Pro Tip: Practice rewriting the same prompt with clearer context, constraints and output requirements, then compare the results.

It covers bias, misinformation, data privacy, copyright, ethical concerns and regulatory considerations.

Participants learn why AI-generated content requires human review and why confidential or personal information must be handled carefully when using public AI services.

Pro Tip: Check your organization’s AI and data-handling policies before applying new tools to workplace information.

Yes, it helps leaders evaluate generative AI opportunities, limitations and governance considerations without requiring technical expertise.

The course provides a common vocabulary for discussing AI adoption with technology, risk, legal, HR and business teams.

Pro Tip: Use the course to identify one low-risk use case, its expected benefit, its data requirements and the controls it would need.

This award focuses on AI literacy and responsible business use rather than coding, model development or application deployment.

Technical programmes typically cover APIs, cloud platforms, retrieval systems, agents or machine learning operations. This certification provides the foundation needed to understand and participate in generative AI discussions.

Pro Tip: Choose a technical follow-on course only if your role requires you to build, integrate or operate AI solutions.

Yes, especially for professionals who use AI tools but have not received structured training in their capabilities, limitations and risks. It provides independent validation of practical AI literacy while addressing responsible use, which is increasingly important as generative AI enters everyday business processes.

Pro Tip: Pair the certification with a documented workplace use case showing how you applied generative AI and verified the output.

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