Both are taught at techcadd. Here is how they differ on level, tools, projects and where each one can take you.
| Feature | Artificial Intelligence | Generative AI |
|---|---|---|
| Level | Intermediate | All Levels |
| Duration | 6–9 Months | 6 Months |
| Who can join | No prior coding experience; basic school-level maths (percentages, simple algebra) | A laptop with stable internet and basic English reading skills; prior coding is helpful but not mandatory |
| Key tools | Python, Jupyter Notebook, Google Colab, NumPy, pandas, Matplotlib | ChatGPT, Claude, Gemini, Microsoft Copilot, Hugging Face, Python |
| 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: AI, Machine Learning and Generative AI Foundations · Module 2: Large Language Models (LLMs) · Module 3: Prompt Engineering · Module 4: Python Basics for AI |
| Portfolio projects | — | — |
| Career roles | AI/ML trainee, Data analyst, Junior data scientist | Prompt engineer, AI content specialist, AI automation 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.
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.
A counsellor can map either course to your degree, schedule and career goal — one call is usually enough.
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