AI for Business Analysts & Translators

A Practical Program to Bridge Business Goals and AI Solutions

MODE
Mode(Online) TYPE
Mentor Based LEVEL
Moderate

Skills you will gain:

“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:

Reduce failure rates of AI projects by enhancing business-technical alignment
Empower non-coders to play impactful roles in AI strategy and execution
Standardize the translation process from domain knowledge to model design
Promote responsible AI adoption by non-technical professionals
Strengthen interdisciplinary collaboration in AI product development

What you will learn?

Week 1: Foundations of AI in Language and Data Contexts

Module 1: Introduction to AI for Business and Language Work

Chapter 1.1: The Role of AI in Business Analysis and Translation
Chapter 1.2: Key AI Concepts (NLP, LLMs, ML, Translation Models)
Chapter 1.3: AI Readiness: Data, Prompts, and Expectations

Module 2: Tools and Platforms Overview

Chapter 2.1: Using ChatGPT, Claude, and Gemini for Business Tasks
Chapter 2.2: AI Translation Tools (DeepL, Google Translate, ModernMT)
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

Chapter 3.1: Data Summarization, Report Drafting, and Insight Generation
Chapter 3.2: Requirements Gathering and Documenting with AI
Chapter 3.3: AI in Workflow Automation and Decision Support
Chapter 3.4: Visualizing Business Data with AI-Enhanced Tools

Module 4: AI for Translators and Multilingual Work

Chapter 4.1: Context-Aware Translation with AI
Chapter 4.2: Post-Editing AI-Generated Translations
Chapter 4.3: AI for Terminology Consistency and Domain-Specific Glossaries
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

Chapter 5.1: Building Reusable Prompt Libraries for Business Tasks
Chapter 5.2: Automating Translation Pipelines with AI APIs
Chapter 5.3: Quality Control and Human-in-the-Loop Strategies

Module 6: Capstone Projects and Future Outlook

Chapter 6.1: Capstone – Create an AI-Powered Business Analysis or Translation Tool
Chapter 6.2: Feedback and Review of AI-Enhanced Documents
Chapter 6.3: AI Ethics, Confidentiality, and Responsible Use in Business Language Tasks
Chapter 6.4: Career Opportunities in AI-Augmented Business and Linguistic Roles

Intended For :

Business analysts and product analysts
Functional experts from HR, finance, marketing, and operations
Technical writers, process modelers, and solution architects
Product managers working with AI teams
MBA, management, and data-savvy graduates