What we're about

"Learn AI/ML/Data 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: https://www.aicamp.ai (https://www.aicamp.ai/event/events)

AICamp is a large AI/ML/Data developers community globally, with 120K+ developers from 150+ countries, we also have 40+ local study groups in 15 countries. Our mission is to enable every developer to learn and practice AI/ML/Data technology from anywhere at any time. We host many online tech events at the daily basis, such as webinars, workshops, tutorials, bootcamps, and large tech summit/conference.

Contact us (support AT aicamp DOT ai) if you are interested in speaking your topics, promoting your events, collaboration with your events, or volunteering to build and grow the local AI/ML/Data community.

** For speaking, submit your topics:

-- Topic and Abstract: the topic needs to be technology focused, generally good for engineers, developers to learn and practice on AI, Machine Learning, Deep Learning, Data Science, Cloud, etc..

-- Speaker: bio, linkedin profile and/or past speaking experiences.

-- Which cities (regions) you want to speak to (check the list of cities on the website).

--Event type: webinar (1hour), hands-on workshop (2-3 hours), bootcamp (5-8 hours), or course (8+ hours)

-- Preferred dates:

-- Will your company sponsor the talk?

** For promoting events, we have promotional packages to help scale your great events to the city/regional/global communities. contact us for the prospectus and many recent user cases.

-- For sharing job openings, you can share to the community discussion group on slack (4000+ members, join slack link: https://bit.ly/3iLe40y ) or sponsor one of our events to announce to attendees. or even better, we can host tech recruiting events to attract more talents. contact us for details.

** For partnering events. we help many tech organizations, meetup groups, communities to run their online events. contact us for details how we can collaborate.

*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 (4)

ML Talk: Reasonable Scale Machine Learning

Link visible for attendees

Please complete registration on eventbrite to receive join link:
https://bit.ly/3wczkBm

Description:
Machine learning comes in many shapes and sizes but most of the conversation (around tools, techniques, division of labor) is dominated by a handful of companies, who do ML at a scale nobody else needs to. Of all the endless forms that companies outside of Big Tech can take, particularly interesting is a growing and underserved segment that is especially relevant for ML systems, known as reasonable scale companies, meaning reasonable along the axes of monetary impact, team size, data volume, and compute resources.

Jacopo and Hugo will discuss reasonable scale machine learning and what the majority of non-FAANG companies need to know in order to build out sophisticated ML functions, and we will also discuss what such machine learning actually looks like for businesses and practitioners alike, and what you can do to get started with reasonable scale ML today.

After attending, you’ll know:

  • What types of companies can benefit from reasonable scale machine learning (hint: most);
  • What types of data, tools, and talent you need in order to build a sustainable ML function;
  • Barriers to entry for reasonable scale machine learning, how you can get started today, and industry trends that will help you in your ML journey.

The fireside chat will be followed by an AMA with Jacopo and Hugo at slack.outerbounds.co.

Speakers:

  • Jacopo Tagliabue is Coveo's Director of A.I., where they combine product thinking and research-like curiosity to build better data-driven systems at scale.
  • Hugo Bowne-Anderson, Outerbounds’ Head of Developer Relations

More AI/ML/Data tech events (free to join from anywhere):
🔷 May 17, Workshop: Hands-on NLP workshop
🔷 May 19, Webinar: Deliver Self-Service BI at Enterprise-Scale
🔷 May 24, Webinar: Redefining MLOps with Automated Model Monitoring in Production
🔷 May 24, Conference: Chief Data & Analytics Officers, Insurance
🔷 Jun 2, Webinar: Streaming data with Elasticsearch and Kafka
🔷 Jun 7, Webinar: Zookeeper vs Raft: Stateful Distributed Coordination with High Availability

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 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 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

Chief Data & Analytics Officers Spring (San Francisco)

Needs a location

Complimentary VIP ticket: please complete registration on the event website:
https://www.aicamp.ai/event/eventdetails/W2022061408

Description:
The premier in-person gathering for data & analytics leaders on the west coast (Venue: Hotel Nikko, San Francisco)

Exclusively designed for the cutting-edge data & analytics leader, focused on aligning data strategy with digital transformation, leveraging data analytics to increase business value, and spearheading a data-driven culture that utilizes data as an engine for growth.

Why attending?
- Network face-to-face safely and securely, and share knowledge with forward-thinking leaders from some of the most recognizable brands in the world
- Hear how your peers are accelerating business transformation towards a data-driven culture
- Refine your strategy to employ cutting-edge technologies such as AI and ML to provide increased business value

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

[In-person Conference] MLOps Summit

Needs a location

This is paid, in-person conference in San Francisco, please purchase tickets on the event website:
https://www.aicamp.ai/event/eventdetails/W2022061508

Description:
The premier in-person gathering for MLOps on the west coast.

Discover how to optimize the machine learning lifecycle & streamline your pipeline for better productionTopics we will cover:
- Machine Learning and Troubleshooting
- Automation and Anomaly Detection
- Collaboration and Architectural Practices
- Data Efficiency and Machine Learning Pipelines
- Machine Learning Workflows and Effective Training

Why attending?
- Network face-to-face safely and securely, and share knowledge with forward-thinking leaders from some of the most recognizable brands in the world
- Hear how your peers are accelerating business transformation towards a data-driven culture
- Refine your strategy to employ cutting-edge technologies such as AI and ML to provide increased business value

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 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

2

Past events (343)

Data talk: Make Advanced Analytics & Insights More Actionable

This event has passed

Photos (264)