This year, from 9 – 12 June in San Francisco, databricks training and certification at the Data + AI Summit in San Francisco with an extended program, which contains even more educational courses and interactive opportunities in our educational center.
Participants can choose from more than 20 practical coverage including basic topics such as generative AI, data engineering and data analysis. Whether you are interested in building AI agents, creating data pipelines or driving business knowledge, you will have the opportunity to learn directly from leading experts in the field and strengthen your skills for what will happen next. It can also benefit from the discounted certification tests on the spot and visit the curriculum to experience our first -hand offers.
We are excited that we can offer Limited Flash Dirty to wait for a 50%discount. The offer is only valid until 23 May.
Offers certification
Verify your data and skills AI on Databricks by obtaining industrially recognized certification. Summit tests will be 50% of the current price. The following certification exams will be available:
- Data engineer
- Data engineer professional
- Generative associate AI
- Associate Developer for Apache SparkDarkness
- Associate data analyst
- Machine Learning Associate
- Machine learning
Wait who will pass the Databricks certification test, receive a certified databricks jacket and get input to our exclusive certified databricks salon in the Databricks zone. The Lounge will contain special activities included in Happy Hour and Networking.
1 Final Databricks Certified Jacket may vary from the above image.
Learning options
- Instructor training:: Create your expertise with practical training, which are available after all four days of the conference. Choose from the cover classes of basic and advanced topics such as data engineering, AI, analysts and data management. Practical skills you can use immediately. Here are some races that you can look forward to:
- Create data pipe with DLT (Data engineering)
Audience: data engineers
You will learn how to define and plan data pipes that gradually receive and process data via multiple tables on the Intelligence Data platform, using DLT in Spark SQL and Python. - Development of GEN AI applications
Audience: Data Scientists, AI/ML developers
This race provides participants with information and practical experience in building advanced LLM (large language model) Multi -stage justification of LLM chains and agents. In the initial part, participants learn how to break down the problem into its components and choose the most watched model for each step to increase business use cases. The participants will then build a multi -step chain of thinking using Langchain and HugingFace Transformers. Finlly, participants will be introduced to agents and propose an autonomous agent using generative models on databricks. - Development of machine learning model
Audience: Data Scientists, AI/ML developers
In this race you will learn how to develop traditional machine learning models on databricks. We will cover topics such as the use of popular Libraries ML, efficiently perform common tasks with car and MLFLOW, use the capacity of databricks to monitor the model training, use stores for model development and implementation of tuning hyperparameters. In addition, the plant covers Autall for fast and low code model training, which ensures that participants acquire practical skills in the real world to develop current model and efficient machine learning in the databricks environment. - AI/BI for data analysts
Scientists data, developers AI/ml
In this race you will learn how to use Databricks functions for corporate news supplies: AI/BI Dashboards and AI/BI Genie. This race intends to instruct participants on how to design the control panels for business knowledge, share those with collaborators and stakeholders and maintain these assets within the platform. Participants will also learn how to use the AI/BI Genie to support self -service analysis through their creation and maintenance that are driven by Databricks Data Intelligence Engine
- Create data pipe with DLT (Data engineering)
- Learning of the Center: Explore the HUB Databricks Learning Hub and create a personal teaching path for yourself and the Databricks community. Visit the skill development zone and connect with customers that allow architects to evaluate your learning requirements and get a customized learning plan for your needs.
- Workshops and practical laboratories: Get practical experience with the latest tools and techniques across data engineering, ML and AI Analytics. These sessions allow teams to apply new real -time concepts and bring back knowledge to their organizations.
Come and see Summit Data+AI and learn more. Sign up today And register yourself and your teams to be trained!
(Using Promo code TRNGTM0Q Get 50% discount)