Both are taught at techcadd. Here is how they differ on level, tools, projects and where each one can take you.
| Feature | Generative AI | Data Science |
|---|---|---|
| Level | All Levels | Intermediate |
| Duration | 6 Months | 5–6 Months |
| Who can join | A laptop with stable internet and basic English reading skills; prior coding is helpful but not mandatory | Basic school-level maths; no prior coding experience needed |
| Key tools | ChatGPT, Claude, Gemini, Microsoft Copilot, Hugging Face, Python | Python, Jupyter Notebook, NumPy, Pandas, Matplotlib, Seaborn |
| What you’ll learn | Module 1: AI, Machine Learning and Generative AI Foundations · Module 2: Large Language Models (LLMs) · Module 3: Prompt Engineering · Module 4: Python Basics for AI | 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 | Prompt engineer, AI content specialist, AI automation executive | Data analyst, Business analyst, Junior data scientist |
Learn to build with, and work alongside, AI tools that create text, images, code, audio and video: large language models, prompt engineering, RAG, AI agents and responsible AI use.
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.
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