What we're about

"Learn AI/ML by Practice". Join us to learn and practice AI, Machine learning, Deep learning and Data Science technology together with like-minded developers.

Due to the Covid-19, we have moved all our meetup events online: ttps://www.aicamp.ai/event/events

Our goal is to congregate with AI enthusiasts from all over Berlin to learn and practice AI tech, through tech talks, workshops, bootcamps, hackathons, ML Summit etc.. we regularly invite tech leads from innovated companies, successful startups to share their practice experiences and practices in the world of AI, Machine Learning, Cloud, Data.

If you’d like to speak at future meetups, co-promote your meetup or inquire about partnership opportunities, please feel free to reach out to us.

===Tentative Agenda =====

5:30pm - 5:50pm, Snack & social

5:50pm - 6:00pm, Intro/announcement

6:00pm - 7:00pm, Tech Talk 1 and Q&A

7:00pm - 8:00pm, Tech Talk 2 and Q&A

8:00pm - 8:30pm, Mingle

*AI online learning/practicing platform: https://www.aicamp.ai

*AI online community platform: https://www.aicamp.ai/event/events

*50+ Local AI developers communities around world: https://www.aicamp.ai/index/localchapter

Upcoming events (2)

Data talk: Insourcing vs Outsourcing Data Layer Operations

Link visible for attendees

Register on the event website to receive joining link: https://www.aicamp.ai/event/eventdetails/W2022060210

We are hosting a series of tech talks on Kafka, data layers, you can join us online from anywhere:

  • June 16: Using Free And Open-Source Software Vs. Open-Core Software.
    RSVP: https://www.aicamp.ai/event/eventdetails/W2022061610
  • June 29: Workshop: Migrating from Confluent Kafka to Open Source Apache Kafka.
    RSVP: https://www.aicamp.ai/event/eventdetails/W2022062910
  • July 14: PostgreSQL Enterprise Features.
    RSVP: https://www.aicamp.ai/event/eventdetails/W2022071410

Description:
Data layer management is one of the key things that impact the ability of developers to do their jobs. And knowing the right approach for your team, along with your company, will have major effects in both the short and long term. Selecting the right one for the right reasons is important to achieve the goals you have.

What will you get out of this webinar?
In this webinar we will go over the pros and cons of Insourcing vs Outsourcing Data Layer management with regards to things such as expertise, cost, resilience, and growth for both approaches.

Who should attend?
This webinar is intended for developers looking to understand the benefits and when it is best to outsource the management of their data layer.

More AI/ML/Data tech events up coming (free join from anywhere):
🔷 May 24, Webinar: MLOps with Model Monitoring in Production
🔷 May 24, Conference: Chief Data & Analytics Officers, Insurance (NYC)
🔷 May 25, Webinar: Advanced Analytics & Insights More Actionable
🔷 Jun 7, Webinar: Zookeeper vs Raft: Stateful Distributed Coordination
🔷 Jun 7, Webinar: Built a Data Mesh Architecture
🔷 Jun 20, Webinar: Run Spark In Large Scale On Kubernetes
🔷 Jun 29, Workshop: Migrating from Confluent Kafka to Apache Kafka

Workshop: Build End-to-End Deep Learning Models

Link visible for attendees

Register on the event website to receive joining link: https://www.aicamp.ai/event/eventdetails/W2022061609

Description:
We will host a 2-hour hands-on workshop to learn how to build end-to-end deep learning models on the AI/ML platform.

In this instructor-led workshop, you will learn:
- Wrangle data and perform EDA
- Set up custom python and SQL transforms
- Use AutoML to train and evaluate models
- Deploy models and monitor drift
- Use notebooks and dashboards interchangeably. Iterate, experiment, and deploy within hours

All participants of the workshop will receive a Machine Learning Proficiency Certificate.

More AI/ML/Data tech events up coming (free join from anywhere):
🔷 May 31, Webinar: Reasonable Scale Machine Learning
🔷 Jun 7, Webinar: Zookeeper vs Raft: Stateful Distributed Coordination
🔷 Jun 7, Webinar: Built a Data Mesh Architecture
🔷 Jun 15, Conference: MLOps Summit (San Francisco)
🔷 Jun 16, Workshop: Build End-to-End Deep Learning Models
🔷 Jun 20, Webinar: Run Spark In Large Scale On Kubernetes
🔷 Jun 29, Workshop: Migrating from Confluent Kafka to Apache Kafka

Past events (204)

Tech talk: Make Advanced Analytics & Insights More Actionable

This event has passed

Photos (153)