Both are taught at techcadd. Here is how they differ on level, tools, projects and where each one can take you.
| Feature | Agentic AI | Power BI |
|---|---|---|
| Level | Intermediate | Beginner |
| Duration | 4 Months | 1–2 Months |
| Who can join | Open to any stream; no computer science degree 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 AI, LLMs and Agentic AI · Module 2: Python for AI Agents · Module 3: Prompt and Context Engineering · Module 4: Tool Calling and Function Execution | 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 | AI agent developer, AI automation engineer, LLM application developer | Power BI Developer, Data Analyst, Business Analyst |
Design and deploy AI agents that plan, use tools and complete multi-step tasks on their own.
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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