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Free Bootcamps

AI Bootcamp

In the first lecture, we are diving into the world of Artificial Intelligence (AI). We begin by defining AI and examining its history and also compare it to human thinking. Next, we look at how AI is used in our daily lives, like in smartphones and website recommendations. We introduce Machine Learning (ML), which teaches AI from data, and Deep Learning. We also consider the challenges and questions that come with AI. Lastly, we take a glimpse into AI’s future.

  • 6047€
    The average salary of an Artificial Intelligence specialist in Europe
  • 97%
    Artificial Intelligence specialists in Europe are satisfied with their work
  • 81%
    Students successfully complete AI Bootcamp Syllabus

Employment opportunities

Programme

  • 1 topic
  • 2 topic
  • 3 topic
  • 4 topic
  • 5 topic
  • 6 topic
  • 7 topic
  • 8 topic
  • 9 topic
  • 10 topic

Introduction to Artificial Intelligence (AI)

  • Definition and Scope of AI
  • Historical Overview: Milestones and Pioneers

Definition and Scope of AI

  • Real-world Examples: Virtual Assistants, Recommender Systems, Autonomous Vehicles, etc.

`Understanding Machine Learning (ML)

  • Definition and Key Concepts
  • Supervised, Unsupervised, and Reinforcement Learning

Machine Learning in Action

  • Showcases of ML in Industry and Research
  • Interactive Demo: Simple ML Algorithm (e.g., Linear Regression)

Deep Dive into Deep Learning (DL)

  • What sets Deep Learning Apart
  • Neural Networks: Basic Structure and Layers

Revolutionary Applications of Deep Learning

  • Image and Speech Recognition, Natural Language Processing, and more

The Intersection of AI, ML, and DL

  • How these fields work together to solve complex problems

Challenges and Ethical Considerations in AI

  • Bias, Privacy, and Transparency in AI systems

Future Frontiers of AI

  • Cutting-Edge Developments: GANs, Reinforcement Learning, AGI, etc.

Exciting Projects and Research in AI

  • Highlight some influential projects and papers

Lecturers

Our team of lecturers is a mixture of different IT specialists. Some, like superheroes 🦸, take Top positions in their companies during the day and respond to student calls in the evenings, while others work as freelancers, juggling between clients and students on a daily basis. But they are all 100% ready with the knowledge and experience to help you!🧑‍🎓

Artificial intelligence

Fabio Ferreira

Machine Learning Engineer @ZF Group

Artificial intelligence

Gustav von Zitzewitz

Senior Machine Learning Engineer @DataRobot

Course calendar

Period

Time

18:00-21:00 CET

Duration

Price

Calculator

Payment options

We offer so many different payout options and benefits that we have created a fee calculator for you to calculate your abilities yourself - just like in a bank. 💸

CodeAcademy Financing

  • Pay by installments for all courses – ONLY 100 €/month

Income share agreement

  • Pay 10% of your Net monthly Income / per month only AFTER SECURING  your dream career!

Full price

  • Pay in full and SAVE up to 1000 €

Frequently asked questions

The schedule of the courses is fixed, all lessons are conducted live, by professional CodeAcademy teachers, to whom you can ask questions during the lectures, check homework, get advice on future projects.

We use one of the most advanced and flexible pedagogical programs for research in the virtual space – Microsoft Teams. Along with Microsoft Teams, you will have free access to the Microsoft Office suite for one year.

Connections to the Study Environment are sent to students 5-3 working days before the start of the classes to the e-mail address specified in the agreement. mail.

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