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Course: Docker for AI Apps Level: Medium to Advanced Type: Individual Duration: 7 to 10 days Objective This assignment tests your ability to design and operate a multi-container Docker system for an AI application. You will configure container-to-container networking using a user-defined bridge network, orchestrate a multi-service stack with Docker Compose, build and containerize a FastAPI AI REST API with session management and health checks, apply Docker best practices incl

Course: Docker for AI Apps Level: Beginner to Medium Type: Individual Duration: 5 to 7 days Objective This assignment tests your ability to work with Docker's core building blocks: running and inspecting containers, writing a production-ready Dockerfile, containerizing a Python AI application, and persisting data across container restarts using named volumes. By completing this assignment, you will have built and deployed a fully containerized multi-turn AI chatbot that retai

Course: RAG from Scratch Level: Medium to Advanced Type: Individual Duration: 7 to 10 days Objective This assignment tests your ability to build the retrieval and generation stages of a RAG pipeline from scratch. You will implement cosine similarity without external vector search libraries, build a similarity search function, design a grounding-focused prompt template, and assemble a complete end-to-end RAG system that retrieves context and generates accurate, grounded answer

Course: RAG from Scratch Level: Beginner to Medium Type: Individual Duration: 5 to 7 days Objective This assignment tests your ability to build the foundational stages of a RAG pipeline: loading documents, extracting clean text, attaching metadata, enriching documents with LLM-generated keywords, and splitting them into retrievable chunks. By completing this assignment, you will have built a reusable knowledge base preparation pipeline that you can apply to any document colle

Introduction Modern satellite constellations generate petabytes of multispectral, hyperspectral, SAR, and LiDAR data every day, far outpacing the capacity of traditional analysis methods. Remote sensing professionals must interpret this imagery against historical baselines, evolving scientific literature, environmental benchmarks, and mission-specific requirements simultaneously. Satellite Data Analysis Systems powered by Retrieval-Augmented Generation (RAG) address this by d

Introduction Loan underwriting requires the rapid processing of vast financial documents, regulatory guidelines, and market data under tight deadlines, a challenge that rigid scoring models and manual review workflows are ill-equipped to handle. Underwriters must assess creditworthiness, collateral quality, and compliance requirements while keeping pace with constantly shifting lending regulations and economic conditions. Loan Underwriting Systems powered by Retrieval-Augment

Introduction Veterinary professionals must deliver accurate diagnoses across many species with unique biological differences, while keeping up with constantly evolving research and treatment guidelines. Retrieval Augmented Generation powered diagnostic systems provide real time access to veterinary literature, species specific protocols, diagnostic data, and patient history. By retrieving and synthesizing the most relevant and up to date evidence, these systems deliver contex

The High-Stakes Gamble: Why "Good Enough" Compliance is No Longer Enough In the modern global economy, data and digital operations are the engines of growth. But for the legal and risk teams tasked with managing them, these assets are like enriched uranium : immensely powerful when harnessed correctly, but catastrophic if mishandled. We have moved past the era where compliance was a back-office formality; today, it is the frontline of corporate survival. The Problem: A Labyri

Introduction Traditional AI interactions require rigid command structures limiting natural communication. Developers struggle to extract optimal responses from language models without specialized knowledge. Manual experimentation with different prompting approaches consumes significant development time. Inconsistent model outputs complicate production deployment and user experience. Llama 3:8B Chat transforms AI interactions through instruction-tuned conversational capabiliti

Introduction In this comprehensive tutorial, we'll build a binary image classification system to detect fungal infections in microscopy images of vine wood. We'll use Vision Transformers (ViT), a state-of-the-art deep learning architecture that applies transformer concepts to image classification. Dataset Overview Dataset: "An Eye on the Vine" This dataset comes from research on pathogen segmentation in vinewood fluorescence microscopy images. The dataset is available at:...

Introduction The rapid rise in neurological research, especially in dementia detection, has increased the demand for automated methods to process brain activity data. With millions affected, early detection through non-invasive EEG is becoming essential. Manual EEG processing is slow and requires significant effort because researchers must clean noise, remove artifacts, and extract useful features from complex signals. Modern automated preprocessing pipelines solve this probl

Introduction The exponential growth of scientific literature, with millions of papers published annually, has made it increasingly difficult for researchers to keep pace with complex technical content. Traditional approaches based on manual reading and note taking create bottlenecks in knowledge discovery as scientists spend countless hours deciphering dense methodologies and synthesizing findings. Scientific Text Comprehension powered by Retrieval Augmented Generation (RAG)

Introduction Project management systems handle vast numbers of tasks daily across organizations, creating complex workflows that demand...

Introduction Email marketing campaigns generate vast volumes of messages across automation platforms, newsletters, and promotional...

Introduction Social media platforms generate massive volumes of user generated content containing valuable insights about brand...

Introduction The e-commerce market handles vast volumes of transactions, with retailers managing extensive product catalogs, dynamic...

Introduction Modern applications generate and store enormous amounts of data across diverse database systems, including relational,...

Introduction Healthcare professionals face increasingly complex challenges in clinical decision making, as medical knowledge is expanding at an unprecedented pace and new clinical studies are published daily. Physicians must process vast amounts of literature, adapt to constantly evolving guidelines, and interpret complex patient data to make accurate diagnoses and treatment plans. Traditional support systems, based on static rules and limited knowledge bases, often fail to r

Introduction Academic research is more complex than ever, with millions of papers published annually across countless journals and...

Introduction In the fast-paced world of software engineering, development teams often waste time searching through scattered...