ONLINE infosessie BeCode Antwerpen - Web.Dev | A.I.
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Kom jij ook?
- Reserveer snel je ticket!
Je krijgt dan automatisch een link naar de Zoomsessie via mail.
- Heb je nog geen kennis van IT maar wel interesse?
- Wil je een professionele website, webapplicatie of app leren bouwen?
- Wil je alles weten over Data Science en Machine Learning?
- Heb je vragen over onze GRATIS opleidingen?
- Wil je meer weten over actieve pedagogie?
- Wil je leren hoe je een carrière in IT kan maken?
Dan ben je op de juiste plaats!
Becode beantwoordt al jouw vragen in een Live infosessie op 27 oktober om 14u00.
Je hebt geen voorkennis nodig voor deze opleiding enkel wat voorbereiding en motivatie.
Bekijk onze BeCode website: https://becode.org/learn/web-development/
Tot dan!
Learn to code, get a job!
ENG
The training is open to all: we don't care about degrees, work experience, etc. We only need you to be motivated and have some algorithmic / coding knowledge. Do you have questions about the program? You want to know how to register?Is the assessment not clear enough?
Why don't you join us for our AI Info Session via Zoom.
Visit our website for more info: https://www.becode.org/AI-school
Training Program:
Soft Skills: A good AI / Data Scientist needs a deep understanding of a client's needs and activities and must learn to communicate technical concepts to a customer who isn't a specialist in the field. Therefore, you will learn to speak in public, to collaborate smoothly, to be agile and to manage a project from A to Z.
Tech Skills: During this training, we work on four different profiles:
- Data analyst: Focused on business development, you’ll be able to sift through data and identify trends. Create visual representations (charts, graphs, etc.) to better showcase what the data reveals. Help to make good business decisions based on insights.
- Data scientist: You’ll learn how to clean, massage and organize data, how to build models to solve a business need.
- Data engineer: You’ll learn how to develop, construct, test and maintain architectures, such as databases and large-scale processing systems.
- Machine Learning Engineer: You’ll learn how to use data to train models, in order to use automated processes (image classification, speech recognition, market forecasting).
