1. Introduction to AI

1.1 What Is AI?
1.2 The History of AI
1.3 AI Hypes and AI Winters
1.4 The Types of AI
1.5 Edge AI and Cloud AI
1.6 Key Moments of AI
1.7 The State of AI
1.8 AI Resources

2. AI Development Tools

2.1 AI Hardware Tools
2.2 AI Software Tools
2.3 Introduction to Python
2.4 Python Development Environments
2.5 AI Datasets
2.6 Python for Data Analysis
2.7 Python AI Frameworks

3. Machine Learning

3.1. Introduction
3.2. Supervised Learning: Classifications
3.3. Supervised Learning: Regressions
3.4. Unsupervised Learning(Clustering)
3.5. Semi-supervised Learning
3.6. Reinforcement Learning
3.7. Ensemble Learning
3.8. AutoML
3.9. PyCaret
3.10. LazyPredict

4. Deep Learning

4.1. Introduction
4.2. Artificial Neural Networks
4.3. Convolutional Neural Networks
4.4. Recurrent Neural Networks
4.5. Transformers
4.6. Graph Neural Networks
4.7. Bayesian Neural Networks
4.8. Meta Learning

Requirements:
-A second monitor to follow the teacher and perform the applications.

To register:

1. Pre-register by entering the information requested during the registration process for the relevant course on our website.
2. Once the pre-registration process is completed, an email will be sent to you at contact@blueakademie.de. This email contains your pre-registration number (For example: [Your Registration #10573]) and some other information.
3. Make the payment to the relevant bank/Paypal account. Please indicate your pre-registration number in your payment statement.
4. You will be notified by e-mail when the registration process is completed.

Those who pay the tuition fee/first installment into the Blue Akademie account are included in the quota respectively.

Note: For your installment payment requests, please contact Blue Akademie.

Bank information:
Bank Name: Sparkasse KölnBonn
Recipient Name: Blue Akademie UG
IBAN-Number: DE77 3705 0198 1935 4838 73

Payment via PAYPAL (Due to deductions, an additional payment of 3% must be made to the course fee):
Address: hr.blueakademie@gmail.com