The LICQual Level 3 Award in Generative AI for Businesses is a professionally designed course aimed at equipping learners with advanced skills and strategic insights into the practical use of Generative AI in business environments.
As AI continues to revolutionize industries worldwide, this qualification provides forward-thinking professionals with the tools to lead digital innovation, optimize operational efficiency, and create AI-powered solutions for modern business challenges. The course bridges the gap between technical AI knowledge and real-world business applications, enabling learners to design and implement AI strategies with measurable impact.
This advanced-level program focuses on the integration of Generative AI technologies into core business functions such as marketing, operations, customer service, and innovation management.
Learners will explore the use of cutting-edge tools such as ChatGPT, RunwayML, and generative video, text, and audio platforms to automate content creation, develop customer-focused solutions, and improve decision-making processes. The LICQual Level 3 Award in Generative AI for Businesses emphasizes practical learning through real-life case studies, scenario-based tasks, and project-based assignments that simulate business needs.
The curriculum dives into advanced AI topics such as strategic AI implementation, enterprise-level AI deployment, ethical risk management, prompt optimization, and intelligent automation.
The course not only provides technical exposure to generative technologies but also enhances leadership and innovation skills essential for managing AI initiatives in various industries. Learners will be challenged to critically evaluate tools, design ethical AI workflows, and build scalable business solutions.
By the end of the LICQual Level 3 Award in Generative AI for Businesses, participants will be capable of aligning AI solutions with organizational objectives, managing AI-integrated business models, and navigating regulatory frameworks with confidence.
The course also promotes a strong understanding of AI governance, accountability, and long-term business transformation strategies. Graduates of this qualification are well-prepared to act as AI champions within their organizations or consult on AI-driven business transformations.
Ideal for mid to senior-level professionals, digital transformation leaders, business strategists, and innovators, this award serves as a powerful stepping stone toward building expertise in enterprise-level AI integration.
The LICQual Level 3 Award in Generative AI for Businesses empowers participants to lead with innovation, stay competitive in a rapidly evolving digital economy, and strategically position their organizations for future growth through AI-driven solutions.
Course Overview
Qualification Title
LICQual Level 3 Award in Generative AI for Businesses
Total Units
6
Total Credits
6
GLH
18
Qualification #
LICQ2200523
Qualification Specification
To enroll in the LICQual Level 3 Award in Generative AI for Businesses applicants must meet the following criteria:
Qualification# |
Unit Title 15609_36ee64-79> |
Credits 15609_92af77-60> |
GLH 15609_b996c4-7d> |
---|---|---|---|
LICQ2200523-1 15609_438c5e-be> |
Architectures and Functions of Generative AI 15609_cf9c60-78> |
1 15609_fc2e5c-5c> |
3 15609_bf96bc-17> |
LICQ2200523-2 15609_dcafdd-b9> |
Business Model Innovation through Generative AI 15609_350257-e2> |
1 15609_fe80da-db> |
3 15609_8b7058-e3> |
LICQ2200523-3 15609_5d93a0-f5> |
Data Ethics and Risk Management in Generative Deployments 15609_3019fa-07> |
1 15609_842386-f8> |
3 15609_292a44-bc> |
LICQ2200523-4 15609_3bdf34-c4> |
Building Custom Generative AI Workflows 15609_fcc3b6-0e> |
1 15609_34043f-68> |
3 15609_7af662-0f> |
LICQ2200523-5 15609_c56dc3-76> |
Strategic Use of AI in Product and Service Design 15609_aca2f5-a8> |
1 15609_cb6aa2-d5> |
3 15609_a5bddd-43> |
LICQ2200523-6 15609_a9f6ff-2d> |
Business Case Development for Generative AI Integration 15609_1cf985-3f> |
1 15609_6da12f-e5> |
3 15609_c6112e-87> |
By the end of this course,applicants will be able to:
- Architectures and Functions of Generative AI
- Analyze the structure and components of advanced Generative AI systems, including transformer models and diffusion networks.
- Explain how different generative architectures support various business applications such as content creation, automation, and simulation.
- Business Model Innovation through Generative AI
- Evaluate the impact of Generative AI on traditional business models and identify opportunities for innovation.
- Design AI-enabled business strategies that enhance customer value, operational efficiency, and competitive positioning.
- Data Ethics and Risk Management in Generative Deployments
- Assess ethical concerns, data privacy risks, and legal implications related to Generative AI implementation in business contexts.
- Develop responsible AI policies and governance frameworks to mitigate bias, misuse, and regulatory non-compliance.
- Building Custom Generative AI Workflows
- Construct tailored AI workflows integrating multiple tools for specific business functions.
- Apply prompt engineering, data inputs, and automation pipelines to create usable business outcomes.
- Strategic Use of AI in Product and Service Design
- Utilize Generative AI to co-create or enhance products, services, and user experiences.
- Identify market needs and apply AI capabilities to design innovative solutions aligned with customer expectations.
- Business Case Development for Generative AI Integration
- Develop and present detailed business cases for adopting Generative AI solutions, including cost-benefit analysis, ROI forecasting, and risk assessment.
- Justify AI investments with strategic alignment, operational impact, and measurable outcomes.
This diploma is ideal for:
- Business strategists seeking to integrate Generative AI into organizational planning and innovation
- Senior managers aiming to lead digital transformation initiatives using AI technologies
- Entrepreneurs and startup founders exploring AI-powered product and service development
- Innovation and R&D teams interested in leveraging AI for new business models and competitive advantage
- Technology consultants and advisors guiding clients in AI adoption and integration
- Project managers overseeing AI-driven business process reengineering or automation projects
- Product designers and service developers looking to incorporate Generative AI in user-centric design
- Marketing directors and brand managers exploring advanced AI tools for scalable content production
- Data analysts and business intelligence professionals seeking to enhance reporting through AI-generated insights
- IT professionals and systems architects responsible for building or managing AI-enabled workflows
- Professionals with a Level 2 background in Generative AI aiming to progress into advanced applications
- Compliance officers and governance managers evaluating AI risks and developing ethical frameworks
- Corporate trainers and internal learning developers creating AI training programs and AI literacy initiatives
- Business development managers exploring AI solutions to increase revenue streams and market reach
- Consultants and change managers focused on enterprise innovation and digital readiness using AI technologies.
Assessment and Verification
All units within this qualification are subject to internal assessment by the approved centre and external verification by LICQual. The qualification follows a criterion-referenced assessment approach, ensuring that learners meet all specified learning outcomes.
To achieve a ‘Pass’ in any unit, learners must provide valid, sufficient, and authentic evidence demonstrating their attainment of all learning outcomes and compliance with the prescribed assessment criteria. The Assessor is responsible for evaluating the evidence and determining whether the learner has successfully met the required standards.
Assessors must maintain a clear and comprehensive audit trail, documenting the basis for their assessment decisions to ensure transparency, consistency, and compliance with quality assurance requirements.