Get up to speed with AI and Machine Learning.

Course Classroom English
35d ago
As a Developer, how can I use AI? If this is a question on your mind, then this course is for you. 

What does this course teach? 

This course teaches you how to improve the development craft using AI and AI's “underneath the hood” – how AI models gets created. This is key to understand both what AI solutions can/cannot do and how to effectively test AI solutions. 

At the end of the course you will have created your own AI model.

You will not “only” learn, but you will be coding, on both days and in new ways.

Day 1

We will focus on how developers can use AI in their work with pre-built APIs and services such as Github Co-pilot, Chat-GPT, and pre-built APIs for image generation.

Topics

  • Introduction to the course and today’s agenda.
  • Overview of AI and machine learning, including different types of AI, examples of use cases, and current trends.
  • Demo and workshop with pre-built APIs and services, including Github Copilot, Chat-GPT, and image generation services.
  • Continuation of the workshop with pre-built APIs and services.
  • Discussion of ethical and legal aspects of AI and machine learning.

Day 2

We will look at the basics of machine learning, how AI works under the hood and how you can train your own machine learning models.

Topics

  • Basics of machine learning, including supervised learning, unsupervised learning, and reinforcement learning.
  • A brief intro to the mathematics in Deep Learning
  • Training of a simple model, including data collection, data preparation, modelling, and evaluation.
  • Continuation of training a simple model.
  • Discussion of challenges and opportunities with machine learning, including shortcomings of existing techniques and how to use machine learning to solve important societal problems.

Through this course, you will learn the basics of AI and machine learning and how to use these technologies to solve problems in different areas. you will gain practical experience working with pre-built APIs and services, as well as training a simple model. Participants will also gain insights into the ethical and legal aspects of AI and machine learning.

This course will use the Python Ecosystem for Machine Learning.

Who the course is for

  • Developers
  • Data scientists
  • CTO’s

About the trainers.

Fredrik Fridborn

Fredrik has worked as engineer at AI startups, holds a MSc in electrical engineering and has spent years making AI understandable to those without a degree in mathematics.

Birger Moëll

Birger is a PhD student in machine learning @ KTH with years of experience explaining AI.

I am passionate about teaching people hands-on tips to get started working as AI developers, and am excited about the opportunity to teach this course to empower individuals with the necessary skills and knowledge to succeed in this exciting field

Participant quotes

“Really good teachers!! Best explanation of how neural networks work I have seen.”

SENIOR SOFTWARE DEVELOPER

“Very good course and knowledgeable teachers”

SENIOR SOFTWARE DEVELOPER

Get in touch

Drop us a line: academy@snowdrop.se

The fine print

  • 🍳 Your ticket comes fully loaded with breakfast, lunch, and all the code-packed course materials you’ll crave.
  • ⏰ Feeling indecisive? No worries! Cancel up to 1 month before we kick things off and you won’t owe us a dime.
  • 💸 If cancellation occurs later than 1 month before the start of the course, the full course fee will be charged. Don’t miss that mark!
  • 🔄 Can’t make it? That’s cool – just transfer your spot to another tech wizard.
  • 📅 Need to reschedule? We got you. Switch your course date up to 2 weeks before we dive in.

Gear up, Coder! 🚀

This course teaches you how to improve the development craft using AI and AI's “underneath the hood” – how AI models gets created.  If you wish to have a deep understanding, not just to be a prompt engineer - then this is for you.

This is key to understand both what AI solutions can/cannot do and how to effectively test AI solutions. 

At the end of the course you will have created your own AI model.

You will not “only” learn, but you will be coding, on both days and in new ways.

Pre-requisites

  • Programming experience in at least one programming language
    (you don’t need to know Python inside out, but you should be well familiar with programming)
  • You will also need a ChatGPT4 account (typically costs $20)
  • Bring a laptop!

Attributes

Beginner, Intermediate
AI Engineer, Data Engineer, Data Scientist, IT Role, Student
Technology
IT & Software, Innovation
Creation, Discovery, Prediction, Vision
CNN, Decision Tree, DNN, Image Analysis, Machine Learning
Structured Data, Textual Data, Unstructured Data
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