📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of AI for Business Analysts and Translators, from foundations to a certified capstone project.
Outline
Explore the role of AI in business analysis and translation • Learn key AI concepts, including NLP, LLMs, ML, and translation models • Understand AI readiness, data, prompts, and expectations
Outline
Use ChatGPT, Claude, and Gemini for business tasks • Apply AI translation tools, such as DeepL, Google Translate, and ModernMT • Automate business processes with low-code tools like Zapier and Notion AI
Outline
Summarize data, draft reports, and generate insights with AI • Gather and document requirements with AI-assisted tools • Automate workflows and support decision-making with AI
Outline
Translate context-aware content with AI • Post-edit AI-generated translations for accuracy • Maintain terminology consistency and domain-specific glossaries with AI
Outline
Build reusable prompt libraries for business tasks • Automate translation pipelines with AI APIs • Implement quality control and human-in-the-loop strategies
Outline
Create an AI-powered business analysis or translation tool • Review and feedback on AI-enhanced documents • Discuss AI ethics, confidentiality, and responsible use in business language tasks
Earn government-registered certification in AI for Business Analysts and Translators
e-Certificate and e-Marksheet issued on successful completion.
