MITechCon for Students & Early Career

For students exploring data engineering. A data pipeline moves and transforms data; this talk examines how to keep those systems reliable as they change.

For an interest in software and AI architecture. Entity extraction means finding structured information, such as names or medications, in text; the talk builds toward a technical solution.

For an interest in software testing. See how Playwright, GitHub Copilot, and Azure are used to automate tests; familiarity with software delivery will help you follow the examples.

For an interest in applied AI systems. Follow an investigation case study and discuss how software can support evidence gathering while keeping people accountable.

Explore why AI outputs are uncertain and what that means for security. Most relevant if you’re learning about AI tools or helping a team use them safely.

A deeper option for readers already familiar with data platforms. Covers healthcare data pipelines, access controls, and deployment patterns; the speaker labels it Advanced.

For an interest in IT security. This is an overview of Microsoft’s security products and how they fit together, rather than a general introduction to computing.

Build on the Civic Agents introduction with examples of government workflows. This session is aimed at teams moving beyond early AI pilots.

For students already exploring data engineering. This intermediate session examines trusted finance metrics and data pipelines using dbt and Databricks; familiarity with databases will help.