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Enrollment

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 Fundamentals

Introduction to AI, ML, and GenAI

• Welcome and Objectives
  • Introduction to the workshop: what we’ll cover and why it matters.
  • Overview of AI, ML, and GenAI in the context of data engineering.
• Meet the AWS Speaker Team
  • Expert introductions and their areas of specialization.

Session Breakdown

• Foundations of AI and ML
  • Basic concepts and key differences between AI, ML, and GenAI.
  • Common use cases in data engineering workflows.
  • The role of data engineers in enabling AI and ML pipelines.
• Building the Data Pipeline for AI/ML
  • Data preparation: Cleaning, transforming, and labeling.
  • Managing large datasets: Tools and techniques on AWS.
  • Ensuring data quality for machine learning models.
• Introduction to Generative AI (GenAI)
  • Overview of GenAI and its applications in the industry.
  • Key considerations for implementing GenAI solutions.
  • Ethical and responsible AI practices.
• AWS Services for AI, ML, and GenAI
  • Overview of key AWS services:
  • Amazon SageMaker: Building, training, and deploying ML models.
  • AWS Data Services: Managing data lakes and warehouses.
  • AWS AI Services: Pre-built AI functionalities (e.g., Textract, Rekognition).
  • Customizing GenAI models with Amazon Bedrock.
  • Best practices for leveraging these tools in data engineering projects.
• Q&A and Wrap-Up (20 minutes)
  • Open forum for participant questions (English and Finnish).
  • Key takeaways and resources for further learning.

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.