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Healthcare AI
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AIVIA projects are intentionally dual-purpose. They support self-directed upskilling, or can be attached to a role to anchor evaluations and guide the automated questioning.

AI Trends

LLM & RAG

Prompt engineering, fine-tuning, retrieval-augmented generation, and transformer architecture.

AI Trends

Agents & Tools

Autonomous AI agents, tool-using systems, reinforcement learning, and multi-agent orchestration.

AI Trends

Computer Vision

CNNs, GANs, diffusion models, cross-modal understanding, and visual AI systems.

AI Trends

Prompt Engineering

Zero-shot prompting, context optimization, chain-of-thought reasoning, and agentic workflows.

AI Trends

Recommenders & Search

Personalized recommendations, intelligent search, GNN-based systems, and ranking algorithms.

Domain AI

Healthcare

Clinical decision support, bioinformatics, drug discovery, and precision medicine applications.

Domain AI

Finance

Market sentiment analysis, price prediction, automated trading, and financial reporting.

Domain AI

Manufacturing

Predictive maintenance, quality control, smart factory systems, and industrial optimization.

Domain AI

Security

Threat detection, automated SOC operations, security analytics, and anomaly detection.

Core Skills

Data Science & ML

Statistical modeling, time series forecasting, predictive analytics, and ML pipelines.

Core Skills

APIs & Cloud

RESTful services, microservices, containerization, CI/CD pipelines, and infrastructure.

Core Skills

Coding Challenges

Algorithmic patterns, data structures, problem-solving fundamentals, and system design.

Core Skills

Leadership & Teams

Stakeholder communication, team conflicts, incident management, and leading through change.

AIVIA™ Project Generation: What You Get

A Complete, Structured Project Document

01

Objectives & Outcomes

02

Prerequisites

03

Tools & Setup

04

Project Structure

05

Implementation Steps

06

Assessment Readiness

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The AIVIA™ Project Library

Project Library
AI Trends
Domain AI
Core Skills
〔Architecture〕
Implementing a GPT-Style Transformer from Scratch
Build a decoder-only Transformer in PyTorch with causal attention and positional encoding.
〔Systems〕
Personalized Text Generation with Transformer Models
Build a production-ready system that adapts outputs to user preferences.
〔API〕
Text Summarization with GPT API & spaCy
Master GPT API integration and advanced prompt engineering techniques.
Project Detail
Agents & Tools
Building a ReAct Agent with Chain-of-Thought Reasoning
Estimated: 8-12 hours • Intermediate to Advanced
Objective

Develop advanced autonomous agents using the ReAct framework combined with Chain-of-Thought prompting. Create agents that reason step-by-step before taking actions.

Learning Outcomes
  • Implement structured thinking patterns in LLM agents
  • Build multi-step planning with self-reflection
  • Design systematic error correction mechanisms
  • Create interpretable decision-making pipelines
Project Library
Core Skills → APIs & Cloud
12 projects
〔DevOps〕
End-to-End Observability on Kubernetes
Build observability with OpenTelemetry, Prometheus, Loki, Tempo & Grafana.
〔API〕
Flashcards REST API with FastAPI & SQLite
Build a REST API with clean endpoints, Pydantic validation, and OpenAPI docs.
〔Cloud〕
Serverless Image Resizer & Signed-URL CDN
Architect a high-performance image delivery pipeline on serverless.
Project Library
AI Trends → Recommenders & Search
8 projects
〔Recommenders〕
Embedding-Based Movie Recommender with Vector Search
Design a content-based recommender using vector embeddings and ANN indexing.
〔Recommenders & Search〕
Advanced Search Ranking with Learning-to-Rank
Develop a production-grade search ranking system using LTR algorithms.
〔Recommenders & Search〕
Movie Recommendations with Graph Neural Networks
Build a GNN-based recommender with PyTorch Geometric.
Project Structure
Healthcare AI
Biomarker Discovery with Network Analysis
1

Data Preprocessing & Quality Control

Load gene expression data, normalize counts, filter low-variance genes

2

Network Construction

Build correlation networks, apply thresholds, identify significant edges

3

Centrality Analysis & Biomarker Identification

Calculate centrality measures, identify hub genes and bottlenecks

4

Pathway Enrichment Analysis

Perform GO enrichment with clusterProfiler, identify biological pathways

Project Detail
Core Skills
Communicating Technical Decisions to Non-Technical Stakeholders
Estimated: 4-6 hours • All Levels
Objective

Develop skills in translating complex technical concepts into clear, actionable insights. Focus on effective presentations and building alignment between engineering and business teams.

Learning Outcomes
  • Master techniques for simplifying technical concepts
  • Frame decisions in terms of business impact and value
  • Create stakeholder-appropriate presentations
  • Build frameworks for gaining buy-in on initiatives