Master Python programming, build statistical data analyses, apply core Machine Learning models, and learn prompt engineering techniques under active AI Researchers.
AI & Data Foundations
E.C.W.A.I (Web & AI)
Establish robust programming fundamentals in Python. Understand logical flow, object-oriented concepts, and algorithmic solutions.
Clean, filter, and model data effectively using Excel spreadsheets alongside powerful Python libraries like Pandas & NumPy.
Train regression models, execute deep learning classifiers, apply prompt engineering, and connect OpenAI APIs to apps.
| Module / Subject | Description |
|---|---|
| Python Fundamentals | Variables, logical loops, functions, data structures, and Object-Oriented Programming (OOP). |
| Data Analysis Essentials | Importing data, data cleaning, statistical modeling, and filtering using NumPy and Pandas frameworks. |
| Machine Learning Core | Learn Linear Regression, Decision Trees, Classification, and clustering with scikit-learn. |
| Generative AI Tools | Explore ChatGPT workflows, Stable Diffusion, Midjourney, and prompt engineering parameters. |
| API Integration & LLMs | Connect OpenAI API, setup custom system contexts, run API requests, and automate applications. |
Write core computational scripts, backends, and data feeds.
Filter operational statistics, model datasets, and build corporate dashboards.
Train custom estimators, classification models, and neural nets.
Integrate modern language models, prompts, and APIs into business software.
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