Both are taught at techcadd. Here is how they differ on level, tools, projects and where each one can take you.
| Feature | RAG (Retrieval-Augmented Generation) | Power BI |
|---|---|---|
| Level | Advanced | Beginner |
| Duration | 2 Months | 1–2 Months |
| Who can join | Open to any stream; no machine learning background needed. Python basics are taught from scratch | Comfort with Excel; no coding background required |
| Key tools | Python, Jupyter, VS Code, Git and GitHub, OpenAI, Anthropic Claude | Power BI Desktop, Power BI Service, Power Query Editor, DAX, Microsoft Excel, SQL basics |
| What you’ll learn | Module 1: Foundations of LLMs and RAG · Module 2: Python for AI Applications · Module 3: Document Processing and Chunking · Module 4: Embeddings and Vector Databases | Module 1: Business Intelligence and Power BI Basics · Module 2: Connecting to Data · Module 3: Data Cleaning with Power Query · Module 4: Data Modelling |
| Portfolio projects | — | — |
| Career roles | RAG developer, LLM application developer, AI engineer | Power BI Developer, Data Analyst, Business Analyst |
Build AI assistants that answer accurately from your own documents, websites and databases.
Turn raw business data into clear dashboards and reports with Microsoft Power BI: data connection and cleaning, modelling, DAX calculations and interactive dashboards.
A counsellor can map either course to your degree, schedule and career goal — one call is usually enough.
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