AED
UAD Dirham
Code: AED
Mentor Based
AI for Business Analysts & Translators
A Practical Program to Bridge Business Goals and AI Solutions
Early access to the e-LMS platform is included
About This Course
“AI for Business Analysts & Translators” is a skills-based, interdisciplinary program that empowers non-coding professionals to work effectively in AI-driven product development. The focus is on requirements analysis, process modeling, problem framing, and translating business problems into AI use cases.
Participants will explore how AI systems work, what data they need, how to identify model requirements, and how to align AI project delivery with strategic business KPIs—becoming effective “AI translators” between technical teams and business units.
Aim
To enable business analysts and domain translators to become key enablers in AI implementation by teaching them how to identify AI opportunities, gather and interpret data needs, translate domain knowledge into AI features, and communicate effectively with technical teams.
Program Objectives
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Reduce failure rates of AI projects by enhancing business-technical alignment
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Empower non-coders to play impactful roles in AI strategy and execution
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Standardize the translation process from domain knowledge to model design
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Promote responsible AI adoption by non-technical professionals
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Strengthen interdisciplinary collaboration in AI product development
Program Structure
Week 1: Foundations of AI in Language and Data Contexts
Module 1: Introduction to AI for Business and Language Work
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Chapter 1.1: The Role of AI in Business Analysis and Translation
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Chapter 1.2: Key AI Concepts (NLP, LLMs, ML, Translation Models)
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Chapter 1.3: AI Readiness: Data, Prompts, and Expectations
Module 2: Tools and Platforms Overview
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Chapter 2.1: Using ChatGPT, Claude, and Gemini for Business Tasks
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Chapter 2.2: AI Translation Tools (DeepL, Google Translate, ModernMT)
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Chapter 2.3: Low-Code Tools for Business Process Automation (Zapier, Notion AI)
Week 2: Applying AI to Analysis, Translation & Communication
Module 3: AI for Business Analysts
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Chapter 3.1: Data Summarization, Report Drafting, and Insight Generation
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Chapter 3.2: Requirements Gathering and Documenting with AI
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Chapter 3.3: AI in Workflow Automation and Decision Support
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Chapter 3.4: Visualizing Business Data with AI-Enhanced Tools
Module 4: AI for Translators and Multilingual Work
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Chapter 4.1: Context-Aware Translation with AI
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Chapter 4.2: Post-Editing AI-Generated Translations
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Chapter 4.3: AI for Terminology Consistency and Domain-Specific Glossaries
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Chapter 4.4: Cross-Cultural Communication and AI Bias Mitigation
Week 3: Optimization, Ethics, and Project Work
Module 5: Integrating AI into Business and Translation Workflows
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Chapter 5.1: Building Reusable Prompt Libraries for Business Tasks
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Chapter 5.2: Automating Translation Pipelines with AI APIs
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Chapter 5.3: Quality Control and Human-in-the-Loop Strategies
Module 6: Capstone Projects and Future Outlook
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Chapter 6.1: Capstone – Create an AI-Powered Business Analysis or Translation Tool
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Chapter 6.2: Feedback and Review of AI-Enhanced Documents
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Chapter 6.3: AI Ethics, Confidentiality, and Responsible Use in Business Language Tasks
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Chapter 6.4: Career Opportunities in AI-Augmented Business and Linguistic Roles
Who Should Enrol?
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Business analysts and product analysts
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Functional experts from HR, finance, marketing, and operations
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Technical writers, process modelers, and solution architects
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Product managers working with AI teams
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MBA, management, and data-savvy graduates
Program Outcomes
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Understand how to identify business problems suitable for AI
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Learn to gather data requirements and formulate KPIs for AI success
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Translate complex domain processes into AI use cases and model features
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Communicate effectively between technical and non-technical teams
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Gain certification as an “AI-Ready Business Analyst & Translator”
Fee Structure
Discounted: ₹21499 | $249
We accept 20+ global currencies. View list →
What You’ll Gain
- Full access to e-LMS
- Real-world dry lab projects
- One-on-one project guidance
- Publication opportunity
- Self-assessment & final exam
- e-Certificate & e-Marksheet
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