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AdarshRaj2028 / repository
A curated collection of AI, ML, Deep Learning, and Generative AI Jupyter notebooks. Includes hands-on examples, visual demos, and practical implementations for learning and experimentation. Enhanced with official Oracle OCI Race AI certification and badge for credibility.
A comprehensive collection of Jupyter notebooks covering foundational and important to know concepts in Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI. The content in there is adapted from the OCI AI Course by Oracle and some additional information, examples are also added for better understanding of the concepts.
| Folder | Description |
|---|---|
| ai_overview/ | Introduction to AI concepts and history |
| ml_overview/ | Core ML algorithms and supervised/unsupervised learning demos |
| deep_learning/ | Neural networks, CNNs, RNNs, and deep learning fundamentals |
| genai_overview/ | Overview of Generative AI concepts |
| llm_customization/ | Notebooks on fine-tuning, RAG, and prompt engineering for LLMs |
This repository is based on the Oracle OCI Race AI course. You can view the completion certificate
here.
Download Full Certificate (PDF)
You can also verify the achievement via the official Oracle badge:
Selected from shared topics, language and repository description—not editorial ratings.
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