Certifications Guide: BIGDataAIHub
BIGDataAIHub
The resources below have been curated by IMI BigDataAIHub. They include free and free-to-audit courses, certifications, tutorials, and learning materials.
| Certification | Provider | Description | Time to complete |
|---|---|---|---|
| Building RAG Agents with LLMs | Nvidia | A six-session course covering advanced AI/graphics tools and techniques. |
8 hours |
| ChatGPT Prompt Engineering for Developers | DeepLearning | Teaches effective prompt creation to get better results from ChatGPT for coding, writing, and problem solving. |
2 hours |
| CS50's Introduction to Artificial Intelligence with Python | edX | Teaches Python programming fundamentals, including functions, conditionals, loops, object-oriented programming, and file handling, through hands-on projects. |
90 hours |
| Data Analysis with Pandas | Codeacademy | Teaches how to clean, analyze, aggregate, and visualize tabular data using Python’s Pandas library. |
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| Data Manipulation with Pandas | DataCamp | Teaches how to import, clean, and analyze data using pandas DataFrames, covering tasks like filtering, aggregating, and visualizing real-world datasets. |
4 hours |
| Deep Learning System with MiniTorch | MiniTorch | MiniTorch is an open-source educational framework for learning deep learning concepts by building neural networks from scratch in Python.
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| Difference Between Big Data and Data Science | GeeksforGeeks | The article explains how Big Data involves the management and processing of vast datasets, while Data Science focuses on analyzing these datasets to extract meaningful insights and inform decision-making. |
Article |
| Feature Engineering, Supervised and Unsupervised Learning | A video from IMI/Parsa Vafaie covering how to prepare data (feature engineering) and contrasting supervised vs. unsupervised machine learning methods. |
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| Generative AI Explained | Nvidia | Learn advanced tools and techniques used in AI and graphics development with NVIDIA’s software and frameworks. |
2 hours |
| Intermediate Python | DataCamp | A 4-hour course designed to enhance your Python skills by teaching data visualization with Matplotlib and data manipulation using pandas DataFrames. |
4 hours |