Both are taught at techcadd. Here is how they differ on level, tools, projects and where each one can take you.
| Feature | Agentic AI | Data Science |
|---|---|---|
| Level | Intermediate | Intermediate |
| Duration | 4 Months | 5–6 Months |
| Who can join | Open to any stream; no computer science degree needed. Python basics are taught from scratch | Basic school-level maths; no prior coding experience needed |
| Key tools | Python, Jupyter, VS Code, Git and GitHub, OpenAI, Anthropic Claude | Python, Jupyter Notebook, NumPy, Pandas, Matplotlib, Seaborn |
| 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: Foundations of Data Science · Module 2: Python Programming for Data Science · Module 3: Statistics and Probability · Module 4: SQL and Databases |
| Portfolio projects | — | — |
| Career roles | AI agent developer, AI automation engineer, LLM application developer | Data analyst, Business analyst, Junior data scientist |
Design and deploy AI agents that plan, use tools and complete multi-step tasks on their own.
Learn to collect, clean, analyse and visualise data, then build predictive models that solve real business problems, using Python, SQL, statistics, machine learning and modern visualisation tools.
A counsellor can map either course to your degree, schedule and career goal — one call is usually enough.
Book a Free Demo