Both are taught at techcadd. Here is how they differ on level, tools, projects and where each one can take you.
| Feature | Artificial Intelligence | Prompt Engineering |
|---|---|---|
| Level | Intermediate | Beginner |
| Duration | 6–9 Months | 6 Weeks |
| Who can join | No prior coding experience; basic school-level maths (percentages, simple algebra) | Open to any stream; no technical degree or programming background needed |
| Key tools | Python, Jupyter Notebook, Google Colab, NumPy, pandas, Matplotlib | ChatGPT, Claude, Google Gemini, Microsoft Copilot, Perplexity, NotebookLM |
| What you’ll learn | Module 1: Python for AI · Module 2: Data Handling and Maths Essentials · Module 3: Data Analysis and Visualisation · Module 4: Machine Learning | Module 1: Foundations of Generative AI · Module 2: Core Prompting Principles · Module 3: Advanced Prompting Techniques · Module 4: Prompting for Business and Content |
| Portfolio projects | — | — |
| Career roles | AI/ML trainee, Data analyst, Junior data scientist | AI content specialist, Prompt designer, AI operations executive |
Begin with Python and the essential maths, then move into machine learning, deep learning, natural language processing and generative AI, applying each concept through hands-on projects.
Get reliable, high-quality results from ChatGPT, Claude and Gemini, and turn prompting into a job skill.
A counsellor can map either course to your degree, schedule and career goal — one call is usually enough.
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