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For hands-on learners

Hands-On Learning at MITechCon

Find demonstrations, walkthroughs, and implementation-focused talks that show how technology works in practice. Check each session’s format and background expectations.

12 practical sessions on this year’s program11 speakers in these recommendations

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Sessions we recommend

12 total

Thu · 1:15 PMConference Session · Advanced · Room A

Medallion Architecture in Regulated Healthcare: A Hands-On Playbook

DevOps, Cloud, and Platform Engineering

Thu · 11:15 AMConference Session · Intermediate · Room A

A Practical Guide to Running LLMs on Kubernetes

Artificial Intelligence and Machine Learning

Thu · 10:00 AMConference Session · Beginner · Room B

Civic Agents: The Rise Of AI In Modern Public Service

Artificial Intelligence and Machine Learning

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More recommended sessions

Fri · 1:15 PMConference Session · Intermediate · Room C

Designing Conversational BI: How Azure Databricks AI/BI Genie Unlocks Self-Service Insights

Artificial Intelligence and Machine Learning

Fri · 10:00 AMConference Session · Intermediate · Room A

Building an AI-Ready Finance Lakehouse with dbt, Governed Metrics, and Databricks

Artificial Intelligence and Machine Learning

Fri · 3:45 PMConference Session · Beginner · Room B

Digital Transformation or Digital Chaos? A Practical Guide for Leaders Who Are Done Playing Catch-Up

Artificial Intelligence and Machine Learning

Fri · 1:15 PMConference Session · Intermediate · Room B

Civic Agents in Practice: The Next Phase of AI for Government Workflows

Software Engineering and Architecture

Thu · 3:45 PMConference Session · Beginner · Room A

Designing Data Pipelines That Don’t Hate You Six Months Later

Software Engineering and Architecture

Thu · 11:15 AMConference Session · Intermediate · Room E

Fortifying AI: Understanding Prompt Attacks and How to Defend Against Them

Cybersecurity, Privacy, and System Resilience

Thu · 10:00 AMConference Session · Intermediate · Room A

RAG for Data Engineers: What It Is, Where It Fits, and Why Your Metadata Is the Missing Piece

Varun Joshi Nitesh Khapekar

Artificial Intelligence and Machine Learning

Fri · 3:45 PMConference Session · Beginner · Room C

Test Smarter with AI: Playwright Automation at Scale on Azure

DevOps, Cloud, and Platform Engineering

Fri · 1:15 PMConference Session · Intermediate · Room A

Applying Machine Learning and Network Analytics for Modern Financial Crime Detection

Artificial Intelligence and Machine Learning

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Speakers in this guide

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Himanshu GoilChief Executive Officer, Ignatiuz Inc.

Mou RakshitAvanade, Intelligent Data Platform Data Engineering Thought leadership

Chris BirieSoftware and Data Martial Artist

Ethan DeMottAI Engineer at OneStream Software

Matt RussellMake a plan, iterate towards your goal, and complete something every day.

Nitesh KhapekarEngineering Leader at Amazon with 17 years of experience building enterprise-scale data platforms

Randy PagelsPrincipal Trainer and MVP at Xebia USA | Microsoft Services

Raziullah KhanData/AI expert

Rohit MishraCloud Solutions Architect, Google Cloud

Shivam TiwariPrincipal Data Science, The University of Texas

Varun JoshiSenior Data Engineer at AWS