| Date | Venue | Fees | |
|---|---|---|---|
| 30 Nov - 04 Dec 2026 | Online | $ 4,950 | |
| 07 - 11 Dec 2026 | Dubai - UAE | $ 5,950 | |
| 14 - 18 Dec 2026 | London - UK | $ 5,950 | |
| 25 - 29 Jan 2027 | Dubai - UAE | $ 5,950 | |
| 29 Mar - 02 Apr 2027 | Istanbul - Turkey | $ 5,950 | |
| 05 - 09 Apr 2027 | Online | $ 4,950 | |
| 26 - 30 Apr 2027 | Dubai - UAE | $ 5,950 | |
| 24 - 28 May 2027 | Dubai - UAE | $ 5,950 | |
| 19 - 23 Jul 2027 | London - UK | $ 5,950 | |
| 16 - 20 Aug 2027 | Doha - Qatar | $ 5,950 | |
| 13 - 17 Sep 2027 | Online | $ 4,950 | |
| 20 - 24 Sep 2027 | Dubai - UAE | $ 5,950 | |
| 01 - 05 Nov 2027 | Istanbul - Turkey | $ 5,950 | |
| 29 Nov - 03 Dec 2027 | Online | $ 4,950 | |
| 06 - 10 Dec 2027 | Dubai - UAE | $ 5,950 | |
| 13 - 17 Dec 2027 | London - UK | $ 5,950 |
Introduction
This Mastering Generative Artificial Intelligence (Gen AI) training course equips professionals with the knowledge and practical capabilities required to use generative artificial intelligence effectively across business functions and organisational processes. Generative AI is transforming how organisations create content, analyse information, automate activities and support decision-making. Participants will explore the capabilities of large language models, multimodal AI systems and intelligent assistants while learning how to select appropriate tools and develop effective prompts. The course emphasises practical applications that improve productivity, strengthen analytical capabilities and create opportunities for business innovation.
The Mastering Generative Artificial Intelligence (Gen AI) training course progresses from generative AI fundamentals and prompt engineering to advanced AI applications, intelligent workflows, AI agents and responsible implementation. Participants will examine how tools such as ChatGPT, Microsoft Copilot and other generative AI platforms support research, document analysis, business communication, knowledge management and process improvement. Particular attention is given to retrieval-augmented generation (RAG), multimodal capabilities, AI-assisted automation and the evaluation of AI-generated outputs. The course also addresses data privacy, information security, hallucinations, governance and organisational readiness. By combining practical AI applications with implementation strategies, participants will develop the confidence to integrate generative AI into their professional responsibilities and support sustainable business transformation.
This GLOMACS Mastering Generative Artificial Intelligence (Gen AI) training course will highlight:
- Understanding generative AI technologies and business applications
- Developing effective prompts for reliable AI-generated outputs
- Applying generative AI to productivity, research and data analysis
- Exploring multimodal AI, intelligent agents and workflow automation
- Managing AI limitations, information security and responsible use
- Developing practical strategies for generative AI implementation
Objectives
By the end of this Mastering Generative Artificial Intelligence (Gen AI) training course, participants will be able to:
- Evaluate generative AI technologies, capabilities and business applications.
- Apply advanced prompt engineering techniques to professional tasks.
- Use generative AI tools for content creation, research and business analysis.
- Assess AI agents and intelligent automation opportunities.
- Identify and manage risks associated with generative AI adoption.
- Develop a practical roadmap for implementing generative AI solutions.
Training Methodology
This Mastering Generative Artificial Intelligence (Gen AI) training course combines expert-led presentations, generative AI demonstrations, business examples and guided practical exercises. Participants will explore AI platforms, develop and refine prompts, evaluate AI-generated outputs and examine intelligent workflow applications. Practical scenarios will demonstrate how generative AI can support research, communication, document analysis and business process improvement. The methodology emphasises hands-on application, critical evaluation, responsible AI use and the identification of opportunities that deliver measurable organisational value.
Organisational Impact
Organisations will benefit from:
- Improved productivity through generative AI applications
- Greater efficiency in information processing and business workflows
- Stronger capabilities in AI-assisted research and analysis
- Improved identification of intelligent automation opportunities
- More consistent and responsible use of generative AI tools
- Greater readiness for AI-enabled business transformation
Personal Impact
Participants will develop:
- Stronger understanding of generative AI technologies and capabilities
- Greater confidence in using leading AI tools and platforms
- Improved prompt engineering and AI interaction skills
- Better ability to analyse information and develop AI-assisted content
- Greater awareness of AI risks, limitations and governance requirements
- Improved capability in designing AI-supported business workflows
Who should Attend?
This GLOMACS Mastering Generative Artificial Intelligence (Gen AI) training course is specifically designed for professionals directly involved in applying generative AI, improving business workflows and implementing AI-enabled solutions, including:
- Generative AI Implementation Specialists
- AI Adoption and Digital Transformation Managers
- Business Process Automation Managers
- Business Innovation Managers
- AI Product and Solution Managers
- Business Analysts involved in AI implementation
- Intelligent Automation Specialists
- AI Strategy and Transformation Professionals
- Knowledge Management Professionals responsible for AI adoption
Generative AI Fundamentals and Business Applications
- Understanding generative AI and its capabilities
- Large language models and foundation model principles
- Exploring ChatGPT, Microsoft Copilot and other AI platforms
- Text, image, audio and multimodal AI applications
- Identifying generative AI opportunities across business functions
- Evaluating AI capabilities, limitations and
business value
Prompt Engineering and Effective AI Interaction
- Principles of effective prompt engineering
- Structuring prompts using context, roles and instructions
- Applying few-shot prompting and structured outputs
- Developing iterative prompts for complex business tasks
- Using AI for research, document analysis and communication
- Evaluating and refining AI-generated responses
Advanced Generative AI Applications and Intelligent Workflows
- Generative AI for business analysis and decision support
- AI-assisted content creation and knowledge management
- Retrieval-augmented generation (RAG) and knowledge integration
- Multimodal AI for documents, images and presentations
- Understanding AI agents and multi-step task execution
- Designing AI-supported business workflows
Responsible Generative AI and Risk Management
- Understanding hallucinations and unreliable AI outputs
- Evaluating accuracy, consistency and AI performance
- Protecting confidential information and sensitive data
- Managing copyright, intellectual property and AI-generated content
- AI ethics, bias, transparency and human oversight
- Establishing responsible AI policies and governance controls
Generative AI Implementation and Business Transformation
- Identifying and prioritising generative AI use cases
- Evaluating AI tools, platforms and implementation options
- Integrating generative AI into existing business processes
- Assessing organisational readiness and workforce capabilities
- Measuring AI productivity gains and business performance
- Developing a generative AI implementation roadmap
- Upon successful completion of the classroom-based training course, GLOMACS Certificate will be awarded to the delegates. Continuing Professional Education credits (CPE): In accordance with the standards of the National Registry of CPE Sponsors, one CPE credit is granted per 50 minutes of attendance
- Upon successful completion of the online training course, a GLOMACS Certificate will be awarded to all delegates. Guided Learning Hours – In accordance with ISO 9001:2015–certified quality management standards, one Guided Learning Hour is awarded for every 60 minutes of attendance.
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