Both are taught at techcadd. Here is how they differ on level, tools, projects and where each one can take you.
| Feature | ChatGPT & AI Tools | Deep Learning |
|---|---|---|
| Level | Beginner | Advanced |
| Duration | 4 Weeks | 3–4 Months |
| Who can join | Basic computer or smartphone skills and a stable internet connection; no coding knowledge required | Basic computer skills and school-level maths; Python or machine learning knowledge is useful but not compulsory |
| Key tools | ChatGPT, Google Gemini, Claude, Microsoft Copilot, Perplexity, NotebookLM | Python, Jupyter Notebook, Google Colab, NumPy, Pandas, Matplotlib |
| What you’ll learn | Module 1: AI Foundations · Module 2: ChatGPT Essentials and Prompt Writing · Module 3: AI for Writing and Communication · Module 4: AI for Research and Learning | Module 1: Python and Maths for Deep Learning · Module 2: Machine Learning Foundations · Module 3: Neural Network Fundamentals · Module 4: Building and Tuning Models with TensorFlow, Keras and PyTorch |
| Portfolio projects | — | — |
| Career roles | AI-assisted content writer or social media executive, Digital marketing executive, Prompt writer or AI operations assistant | Deep Learning Engineer, Machine Learning Engineer, Computer Vision Engineer |
Learn to use ChatGPT and other leading AI tools to work faster, write better, analyse information and automate everyday tasks, with no coding background needed.
Learn how artificial neural networks, CNNs, RNNs, LSTMs and transformers learn from data, working in Python with TensorFlow, Keras and PyTorch on real datasets.
A counsellor can map either course to your degree, schedule and career goal — one call is usually enough.
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