AI 1004 · AI Engineering Complete Bootcamp

AI 1004

AI 1004 ·middot; Six modules · 12 tutorials · from zero to AI engineer

The complete path from beginner to AI engineer — starting with Python and AI fundamentals, progressing through natural language processing, transformer architectures, LangChain and RAG pipelines, vector databases and speech recognition, to AI ethics and production deployment. No prior programming experience required.

Code: AI 1004Level: Beginner–IntermediatePrerequisites: NoneProvider: Universitas Scholarium

Module 1AI Foundations and Python2 tutorials

Hosted by the Alan Turing Simulacrum

What AI is and how it works · machine learning, deep learning and generative AI · Python programming from variables through functions and OOP to APIs · Jupyter notebooks.

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Module 2Natural Language Processing2 tutorials

Drawing on the research of Terry Winograd in natural language understanding

Text preprocessing · tokenization, stemming, lemmatization · POS tagging and NER · sentiment analysis · topic modelling · building a custom text classifier · fake news detection case study.

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Module 3Large Language Models and Transformers2 tutorials

Drawing on the foundational research of Geoffrey Hinton

The transformer architecture · GPT (generative, decoder-only) · BERT (bidirectional, encoder-only) · XLNet · embeddings and question answering · fine-tuning pre-trained models · HuggingFace Transformers.

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Module 4LangChain, LangGraph and RAG2 tutorials

Drawing on the principles of Donald Knuth in algorithm design and structured programming

Prompt templates and output parsers · chains and runnables · document loading, splitting and embedding · Chroma vector stores · the complete RAG pipeline · LangGraph (states, nodes, edges, checkpointing).

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Module 5Vector Databases and Speech Recognition2 tutorials

Hosted by the Claude Shannon Simulacrum

Pinecone vector database · semantic search · embedding algorithms · audio signal processing · Whisper speech-to-text · evaluation metrics (WER, CER) · text-to-speech.

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Module 6AI Ethics and Production Applications2 tutorials

Drawing on the research and AI safety advocacy of Yoshua Bengio

Privacy, transparency, accountability, fairness · global AI regulations (GDPR, EU AI Act) · prompt engineering for production · handling hallucination and injection · cost management · building and deploying a Streamlit AI application.

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