Applied AI for Corporate Productivity and RMG Operations

Applied AI for Corporate Productivity and Industry Operations is a practical, instructor-led professional certificate programme designed to help professionals integrate Artificial Intelligence (AI) into everyday workplace activities, data analysis, research, communication, industry operations and business process automation. The programme focuses on practical applications of leading AI tools to improve productivity, enhance decision-making, streamline routine tasks and support responsible AI adoption in professional environments. Through guided demonstrations, hands-on exercises and workplace-oriented assignments, participants will learn to apply AI to real-world challenges relevant to the apparel industry and other business sectors. The course consists of eight sessions delivered over two months, with one session per week, four sessions per month and two hours per session, totalling 16 hours of instructor-led training. Participants will complete practical exercises and a capstone project to demonstrate their learning and develop an actionable understanding of AI applications in their respective workplaces. The training will be conducted in person at BKMEA iART's modern computer lab, equipped with internet access and facilities for hands-on learning. Upon successful completion of the programme, participants will receive a Certificate of Completion issued by BKMEA iART.

The course aims to develop participants' practical understanding and application of AI tools for professional productivity, business operations and responsible workplace innovation. By the end of the course, participants will be able to: # Apply AI assistants to prepare professional emails, letters, reports, meeting minutes and other workplace documents. # Use effective prompting techniques to improve the quality, accuracy and relevance of AI-generated outputs. # Conduct research and analyse policies, buyer requirements, compliance documents and other professional resources using AI-powered tools. # Apply AI to spreadsheet analysis, formula generation, data visualisation, trend identification and evidence-based decision-making. # Develop reusable AI assistants and knowledge resources based on organisational documents, procedures and internal policies. # Create presentations, visual content and personalised business communications using AI-powered content creation tools. # Identify opportunities for AI-assisted workflow automation and evaluate AI solutions, procurement proposals, costs and potential business benefits. # Understand responsible AI practices, including data privacy, information security, output verification and appropriate human oversight. # Develop a practical action plan for adopting AI tools in their respective professional roles or organisations.

The programme is suitable for professionals, executives, managers, administrative personnel, IT professionals, data and reporting officers, HR and compliance teams, merchandising and commercial professionals, and other personnel interested in applying AI to improve productivity and operational efficiency. It is particularly relevant to professionals in the apparel industry seeking practical approaches to workplace digitalisation, data-informed decision-making and responsible AI adoption.

Day 1: AI Assistants for Professional Communication Tools: ChatGPT, Claude Introduction to generative AI, practical prompting techniques and AI-assisted professional communication. Participants will practise drafting emails, letters and reports, translating Bangla notes into professional English, and summarising or rewriting documents. Day 2: AI in Everyday Productivity Tools: Google Gemini, Microsoft Copilot Explore the application of AI in routine office activities, document preparation, email management and spreadsheet workflows. Participants will practise using AI to simplify repetitive tasks and improve workplace efficiency. Day 3: Research and Document Intelligence Tools: Perplexity, NotebookLM Learn to conduct AI-assisted research using verifiable sources and analyse complex documents. Practical exercises will cover market and buyer research, as well as querying laws, buyer codes of conduct, compliance requirements and organisational documents. Day 4: Meetings and Professional Writing Tools: Otter.ai, Grammarly Learn to support meeting documentation and improve professional writing through AI. Participants will practise transcription, meeting-minute preparation, grammar correction, tone adjustment and the refinement of business communications. Day 5: AI-Powered Data Analysis Tools: Chat-with-your-data tools, Microsoft Copilot in Excel, Gemini in Google Sheets Develop practical skills in interacting with datasets using natural-language questions, generating spreadsheet formulas and charts, identifying trends and interpreting business information. Exercises may use production, export, membership, operational or financial datasets. Day 6: Custom AI Assistants and Knowledge Management Tools: NotebookLM, Custom GPTs, Claude Projects Understand how to organise organisational knowledge and create reusable AI assistants using policies, circulars, standard operating procedures and buyer requirements. Participants will explore ways to improve access to information and support consistent internal responses. Day 7: AI Content Creation and Buyer Outreach Tools: Gamma, Canva, Napkin AI, AI image-generation tools and AI prospecting tools Learn to create presentations, visual materials and professional content with AI. Participants will also explore buyer and partner research, prospect identification and the preparation of relevant, personalised business outreach. Day 8: Automation, AI Procurement and Governance Tools: AI-assisted RFP and vendor-evaluation tools, ROI templates, Zapier and Make.com Explore opportunities for AI-assisted workflow automation, process improvement and business integration. Participants will practise preparing vendor-evaluation checklists, assessing AI proposals and costs, estimating potential returns on investment, and identifying responsible AI adoption opportunities. The session will conclude with the development of a practical, costed AI adoption plan.

1. Visit the official iART website at www.iart.bkmea.com. 2. Select your preferred course batch and institute. 3. Complete and submit the online application form with the required information. 4. Within three days of applying, visit the respective BKMEA iART institute in person with the required documents: # One photocopy of your latest academic certificate. # One photocopy of your National ID (NID) or passport. # One recent passport-size photograph. 5. Pay the applicable course fee and complete the registration process. Applicants are advised to complete the in-person document verification and fee payment within the specified period to finalize their registration.