Remote Course for Artificial Intelligence and Machine Learning Fundamentals

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Description
Content
Target Audience
Certificates

Artificial Intelligence and Machine Learning Fundamentals introduces learners to the core principles of AI, starting with Python programming and progressing through search algorithms, regression, classification, and predictive modeling. The course blends theoretical understanding with practical Python examples, helping participants grasp key mathematical concepts and apply them to real-world datasets. Learners will also explore how AI techniques are used in games and decision-making systems, reinforcing their understanding through hands-on exercises.

As learners advance, they explore decision trees, clustering techniques, and deep learning with neural networks. This course is ideal for developers and data scientists looking to enrich their projects with machine learning and is accessible to those with basic math skills and programming experience.

Contents:

Learning Principles of Artificial Intelligence to understand the foundational concepts and goals that drive intelligent systems and applications.
Applying AI with Search Techniques and Games to implement problem-solving strategies and decision-making in interactive environments.
Building Regression Models to predict continuous outcomes using polynomial and support vector regression techniques.
Building Classification Models to categorize data into predefined classes using supervised learning methods.
Using Trees for Predictive Analysis to model decisions and outcomes through interpretable tree-based algorithms.
Building Clustering Models to group data based on similarity without labeled outcomes using unsupervised learning.
Exploring Deep Learning with Neural Networks to develop complex models capable of learning patterns from large datasets.

This course is intended for developers, data scientists, and technically inclined professionals who want to integrate machine learning into their projects. It is suitable for individuals with basic programming experience—preferably in Python—and high school-level math skills. Learners will benefit from a structured approach to understanding core AI principles, exploring search algorithms, regression, classification, and deep learning, while applying these techniques to real-world datasets and decision-making systems.

Certificate of Attendance, issued by Semos Education upon successful completion of the course.

Description

Content

Contents:

Learning Principles of Artificial Intelligence to understand the foundational concepts and goals that drive intelligent systems and applications.
Applying AI with Search Techniques and Games to implement problem-solving strategies and decision-making in interactive environments.
Building Regression Models to predict continuous outcomes using polynomial and support vector regression techniques.
Building Classification Models to categorize data into predefined classes using supervised learning methods.
Using Trees for Predictive Analysis to model decisions and outcomes through interpretable tree-based algorithms.
Building Clustering Models to group data based on similarity without labeled outcomes using unsupervised learning.
Exploring Deep Learning with Neural Networks to develop complex models capable of learning patterns from large datasets.

Target Audience

Certificates

Certificate of Attendance, issued by Semos Education upon successful completion of the course.

Our students for us:

- Aleksandar Maksimov Student CertNexus Artificial Intelligence Academy

Because Artificial Intelligence is the challenge of the future. With the modernization of lifestyles and technological advancements on a global scale, artificial intelligence is increasingly playing a key role in all aspects of life and development in society.
- Kristijan Stojoski Artificial Intelligence Academy

With taking the first step and investing enough effort, everyone can master this modern topic and stand out in the job market in one of the fastest-growing industries in the world.
- Viktor Vanchov Artificial Intelligence Academy

The final project taught me many useful things, beyond the realm of video games. However, it greatly helped me get an idea of how machines 'learn' and how powerful they can be.