AI Engineering
Build modern AI applications using LLMs, RAG, Microsoft AI Foundry, AI Agents, prompt engineering, and enterprise AI architectures.
DataNova Academy
Our goal is Data & AI literacy: improve education and prepare people to use Artificial Intelligence more responsibly, through Professional Learning and DataNova Kids.
Two tracks: careers and teams, and DataNova Kids for ages 9–18.
Professional Learning
8 learning experiences in development
Build modern AI applications using LLMs, RAG, Microsoft AI Foundry, AI Agents, prompt engineering, and enterprise AI architectures.
Build scalable enterprise data pipelines, lakehouses, data warehouses, medallion architectures, and modern cloud data platforms.
Train, deploy, monitor, operationalize, and scale machine learning models using modern MLOps practices.
Master Microsoft Purview, Responsible AI, AI Governance, Data Governance, security, compliance, metadata, lineage, and enterprise trust.
Build near real-time streaming architectures using Kafka, Confluent, Apache Flink, Event Hubs, and event-driven systems.
Learn Microsoft Fabric, Azure Databricks, Azure Data Factory, Azure Data Lake, Synapse, and modern cloud analytics.
Prepare for technical interviews, certifications, portfolio building, resume reviews, LinkedIn optimization, and career transitions into Data and AI.
Learn AI strategy, executive enablement, enterprise adoption, responsible implementation, governance, and organizational transformation.
Dedicated Learning Track
Explore. Imagine. Build.
Data & AI literacy for ages 9–18, improving education and helping young learners understand technology and use AI more responsibly.