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“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.
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.
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Professional Certification Program
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
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
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)
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
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
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
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
~6 hours of video content aligned with weekly modules
Introduction: Why AI Matters for Analysts and Translators
Overview of NLP, LLMs, and Generative AI
Exploring ChatGPT, Claude, and Gemini for Business Use
Introduction to AI Translation Tools: DeepL, Google Translate, ModernMT
Prompting for Structured Business Outputs
Working with Low-Code AI Tools (Zapier, Notion AI, Airtable AI)
Real-World Use Cases: From Reports to Multilingual Communication
Week 1 Recap and Prompt Practice Session
Generating Business Insights from Raw Data with AI
Automating Requirement Documentation and Notes
Live Demo: Creating a SWOT or Market Report using GPT
Translation with Context: Beyond Sentence-Level Accuracy
Editing and Enhancing AI-Generated Translations
Building Custom Glossaries with Language Models
Interactive: Testing AI in Domain-Specific Translation Tasks
Week 2 Workshop: Business Email and Document Drafting in Multiple Languages
Reusable Prompt Templates for Analysts and Translators
Connecting AI Tools to Business Workflows (APIs and Integrations)
Human-in-the-Loop QA for AI Outputs
AI Bias, Privacy, and Translation Ethics
Case Study: AI for Localization Teams in a Global Company
Capstone Guide: Designing an AI-Assisted Workflow
Final Project Presentations and Peer Review Session
Future Trends: AI Roles in Communication and Strategy
Live sessions with practitioners in AI, business analysis, and translation
Title: How AI is Transforming Business Analysis and Language Services
Duration: 60 minutes
Focus: Introduction to AI tools, core concepts, and high-impact use cases in business and translation
Guest: AI Strategist / Business Analyst Lead
Interactive: Live demo: AI for business insight extraction + group poll on tool adoption
Title: Building Better Reports and Translations with AI
Duration: 75 minutes
Focus: Prompt design, AI-assisted drafting, and context-aware multilingual communication
Guest: Technical Translator + Enterprise Solutions Consultant
Interactive: Prompt tuning workshop: Translate, summarize, and localize with AI in real time
Title: Designing AI-Enhanced Workflows for Business and Communication
Duration: 90 minutes
Focus: Automating tasks, ensuring quality, and planning human-in-the-loop review systems
Guest Panel: Localization Manager + Data Privacy Expert + Operations Director
Interactive: Capstone project clinic + expert feedback on workflow design plans
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
Understand how to identify business problems suitable for AI
Learn to gather data requirements and formulate KPIs for AI success
Translate complex domain processes into AI use cases and model features
Communicate effectively between technical and non-technical teams
Gain certification as an “AI-Ready Business Analyst & Translator”
Fee: INR 21499 USD 249
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of Currencies
AI Business Analyst
AI Translator or AI Product Owner
Analytics & Strategy Consultant
Data Product Manager
AI Readiness and Implementation Advisor
AI-powered product teams in startups and enterprises
Consulting firms offering AI integration services
Corporates adopting AI in core functions (banking, health, retail, logistics)
Innovation and strategy units across public and private sectors
Government and development agencies driving AI adoption
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