Artificial Intelligence Essentials

Course description

The course provides an introduction to artificial intelligence and explores the most popular algorithms such high dimensional language models (ChatGPT), stable diffusion and DALL-E. Participants will understand the practical applications of AI in various industries, as well as the roles involved in AI projects. The course also covers the ethical aspects and limitations of AI algorithms. Through this course, participants will gain essential knowledge to navigate the rapidly evolving field of artificial intelligence.

What will you learn

After completing this course, participants will gain knowledge and skills such as:

• Understanding the fundamentals and key concepts of artificial intelligence (AI), including definitions, types of algorithms and applications in various fields.
• Familiarity with the ethics and challenges in AI, addressing the challenges and impact that AI technology can have in society.
• Knowledge of AI trends and future, including recent technological developments, advances in machine learning and estimated impact on society and the labor market.
• Identify and apply popular algorithms in AI such as machine learning, neural networks, decision trees, and others to solve specific problems.
• Evaluating and implementing AI solutions, including collecting and managing the necessary data, preparing datasets, training AI models and evaluating their performance.
• Understand roles and responsibilities in AI projects, including software developers, data scientists, and project managers, and understand how to collaborate effectively to deliver successful AI projects.

Target audience

The course is aimed at professionals interested in understanding the fundamentals of artificial intelligence and staying up to date with the latest technologies and algorithms. This course is suitable for people working in IT, project managers, team leaders and specialists looking to integrate AI solutions into their organizations. It is also useful for those who want to understand the ethics and challenges involved in using AI.

Prerequisites:

This course does not require technical knowledge.

• Introduction to Artificial Intelligence (AI)
• Popular algorithms in AI
• Approaches to AI
• Roles and responsibilities in AI projects
• Ethics and challenges in AI
• Data management and infrastructure for AI
• Evaluation and implementation of AI solutions
• Trends and the future of AI

Note:​​

Every student has assigned to him his own virtual lab environment setup.

Additional details:

To attend this course, you need to have:
• PC/Laptop with internet access
• Updated web browser

Certification programs:

The course is not associated with any certification program.

At the end of the course, all participants will receive a certificate of completion.

It is recommended to continue with:

Machine Learning Fundamentals

Artificial Intelligence Essentials

€ 480
  • DURATION: 1 day
  • SKILL LEVEL: Associate
  • LECTURES: 8 lessons

Register
  • PRICE: 480 €
  • DURATION: 1 day
  • SKILL LEVEL: Associate
  • LECTURES: 8 lessons

Course description:

The course provides an introduction to artificial intelligence and explores the most popular algorithms such high dimensional language models (ChatGPT), stable diffusion and DALL-E. Participants will understand the practical applications of AI in various industries, as well as the roles involved in AI projects. The course also covers the ethical aspects and limitations of AI algorithms. Through this course, participants will gain essential knowledge to navigate the rapidly evolving field of artificial intelligence.

What will you learn

After completing this course, participants will gain knowledge and skills such as:

• Understanding the fundamentals and key concepts of artificial intelligence (AI), including definitions, types of algorithms and applications in various fields.
• Familiarity with the ethics and challenges in AI, addressing the challenges and impact that AI technology can have in society.
• Knowledge of AI trends and future, including recent technological developments, advances in machine learning and estimated impact on society and the labor market.
• Identify and apply popular algorithms in AI such as machine learning, neural networks, decision trees, and others to solve specific problems.
• Evaluating and implementing AI solutions, including collecting and managing the necessary data, preparing datasets, training AI models and evaluating their performance.
• Understand roles and responsibilities in AI projects, including software developers, data scientists, and project managers, and understand how to collaborate effectively to deliver successful AI projects.

Target audience

The course is aimed at professionals interested in understanding the fundamentals of artificial intelligence and staying up to date with the latest technologies and algorithms. This course is suitable for people working in IT, project managers, team leaders and specialists looking to integrate AI solutions into their organizations. It is also useful for those who want to understand the ethics and challenges involved in using AI.

Prerequisites:

This course does not require technical knowledge.

• Introduction to Artificial Intelligence (AI)
• Popular algorithms in AI
• Approaches to AI
• Roles and responsibilities in AI projects
• Ethics and challenges in AI
• Data management and infrastructure for AI
• Evaluation and implementation of AI solutions
• Trends and the future of AI

Note:​​

Every student has assigned to him his own virtual lab environment setup.

Additional details:

To attend this course, you need to have:
• PC/Laptop with internet access
• Updated web browser

Certification programs:

The course is not associated with any certification program.

At the end of the course, all participants will receive a certificate of completion.

It is recommended to continue with:

Machine Learning Fundamentals

Register

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