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We are excited to invite you to our upcoming event, celebrating and supporting women in tech and those interested in joining tech. This gathering offers a chance to connect, share experiences, and foster a supportive community.

Please note: The Mimmit koodaa program and this event are for women to ensure a comfortable and focused environment. Read about positive action in Finland »

AI, ML and GenAI Segment Immersion Day

Boost Productivity with Amazon Q: Accelerate Data Pipelines, SQL Development, GenAI

About the Event: In this interactive Immersion Day, discover how Amazon Q, a generative AI-powered assistant, can revolutionize productivity for data teams and business users alike. Learn how Amazon Q Developer and Amazon QuickSight Q utilize conversational AI to automate and accelerate common data and analytics workflows.

Through engaging presentations and hands-on labs, you’ll gain practical skills to:

• Streamline data pipelines with AWS Glue.
• Speed up SQL development using Amazon Redshift.
• Create impactful business intelligence dashboards with Amazon QuickSight Q.

By the end of this session, you’ll understand how Amazon Q empowers teams to enhance productivity and make data-driven decisions faster.

Session Breakdown

• Welcome and Introduction
  • Overview of the workshop objectives and structure.
  • Meet the AWS experts leading the session.
• Presentation: Introduction to Amazon Q
  • Overview of Amazon Q Developer and Amazon QuickSight Q.
  • Key features and benefits of generative AI in data workflows.
  • Real-world use cases to showcase productivity gains.
• Lab 1: Accelerating Data Transformation with AWS Glue
  • Hands-on session:
  • Automating ETL workflows with Amazon Q Developer.
  • Simplifying complex data transformations with conversational AI.
  • Key outcomes: Save time in managing large-scale data pipelines.
• Lab 2: Speeding Up SQL Development with Amazon Redshift
  • Hands-on session:
  • Using Amazon Q to write and optimize SQL queries faster.
  • Integrating Redshift and Q for efficient data analytics.
  • Key outcomes: Reduce query development time and improve accuracy.
• Lab 3: Enhancing Business Intelligence with Amazon QuickSight Q
  • Hands-on session:
  • Building dynamic BI dashboards with conversational input.
  • Enabling non-technical users to derive insights with Amazon QuickSight Q.
  • Key outcomes: Democratize data access and decision-making.
• Presentation: Closing and Q&A
  • Recap of key learnings from the session.
  • Open Q&A with AWS experts (questions can also be asked in Finnish).
  • Resources for continued learning and next steps.

Language: English (Questions can also be asked in Finnish, as a local team will be present during the events).

Skill Level: All skill levels are welcome. Basic knowledge of AWS Cloud Services is beneficial, but you can also revisit our AWS Cloud Practitioner learning path here: Link to the AWS Cloud Services playlist.

Join us for this enriching event and take a step towards becoming a proficient Data Engineer on AWS. We look forward to your participation!

The Study Path

We are thrilled to present our first-ever Data Engineer training on AWS at Mimmit koodaa. This comprehensive program is designed to equip you with essential skills and knowledge to excel in the dynamic field of data engineering, utilizing the powerful suite of AWS tools.

Beyond the technical curriculum, this training exposes Amazon’s unique culture and valuable networking opportunities. Through this specialized study path, we aim to open up new career prospects and opportunities within the industry.

Whether you’re new to the field, changing roles, an experienced professional, or an enthusiastic networker, we welcome you to join!

This webinar is part of AWS’s larger Data Engineer event series created for Mimmit koodaa. Check the calendar for the event series (which will be updated):

Study path

Mimmit koodaa (Women code) program and its events are designed for women and individuals who identify as non-binary.

With free events, we answer your questions and wishes. If you want to ask the speaker your questions in advance, you can email them to info@mimmitkoodaa.fi with the subject ”Mimmit koodaa event”. The facilitators will take the questions into account when preparing.

You can also submit requests for new content or ask questions by email to info@mimmitkoodaa.fi.