Welcome to Google’s AI skills training!
Those who qualify for the program will receive free access to the course on Coursera platform and will be required to finish the first two modules of the course prior to the in-person class on April 10, 2025.
During the span of three weeks, in group classes we will delve deeper into the topics presented in the course and deepen the skills acquired.
The online course on Coursera consists of five modules and takes about 5 hours to complete.
Group meetings are scheduled for 12 hours (including three in-person meetings and one online meeting).
Number of places per group: 20
SIGN UP HERE.
(we accept applications until April 3rd).
Meeting dates:
April 7th (Monday)
Introductory meeting
Warsaw Multicultural Center (Jagiellońska 54, 03-469 Warsaw)
16:45 – 18:00 (approx. 1h – 1,5h)
April 10th (Thursday)
In-person training
Warsaw Multicultural Center (Jagiellońska 54, 03-469 Warsaw)
16.15 – 19:45 (3,5h)
April 17th (Thursday)
In-person training
Warsaw Multicultural Center (Jagiellońska 54, 03-469 Warsaw)
16.15 – 19:45 (3,5h)
April 24th (Thursday)
Online training on ClickMeeting platform
16.45 – 20:15 (3,5h)
Training plan (Google AI Essentials):
1. Introduction to AI
Discover how AI works and explore foundational AI concepts, such as machine learning (ML). Learn about the rise of generative AI and how to perform tasks with it. By the end of this module, you’ll have an understanding of the capabilities and limitations of AI tools and how to integrate generative AI in the workplace.
2. Maximizing productivity with AI tools
Leverage generative AI tools to speed up work tasks and boost your productivity. Examine the important role humans play in the effective use of AI, and understand the types of workplace tasks you can augment with AI. By the end of this module, you will be able to determine if AI is right for a given task and how to use AI to accelerate workflows.
3. Discovering the art of prompting
Write effective prompts to get the output you want. Learn how to incorporate prompting techniques, such as few-shot prompting, into your work. Understand how generative AI tools produce output and the importance of evaluating output before using it. By the end of this module, you will be able to write clear and specific prompts and produce outputs that help accomplish workplace tasks.
4. Use AI responsibility
Use AI responsibly by mitigating unfair biases and inaccuracies. Learn how to apply a framework of AI harms to sample workplace scenarios and recognize the security risks of using AI in the workplace. By the end of this module, you will gain an understanding of how to use AI responsibly and effectively, and a checklist to help you do it.
5. Stay ahead of AI curve
Continue developing your skills within the current and emerging AI landscape. Learn about the ways organizations have leveraged AI and consider how these innovations may inspire your own AI-powered workplace solutions. By the end of this module, you will develop a strategy to stay up-to-date with future AI developments.
Workshop content
All workshops are about covering and reviewing the self-studies in a structured way:
Discussions: These prompts provide relevant questions related to key concepts in the course content. Trainers may lead class discussions or have learners break into small groups or pairs to discuss the questions.
Readings: Similar to the readings in the course content, these items allow learners to learn more about specific aspects of a topic that are relevant to them.
Exercises: These “mini activities” allow learners to apply and practice skills they have learned about in the course.
Certificate – all participants will receive the certificate via the Coursera platform for the whole training at the end of the program.
Codecool’s experts will actively contribute to the program, providing professional support in AI through both local and online initiatives.
