1) October 23rd, 2024 9:00-13:30

2) November 20th, 2024 9:00-13:30

In Person
Price: 185 € + VAT
Price with EU support: 55.5  € + VAT
Language: Latvian

AI for Leaders

Professor

Juris Baums

About the professor

Juris Baums is the co-founder and CEO of AI start-up Hyperscan, as well as AI training and consulting company AI Academy. Juris has studied at Riga and Danish Technical Universities and currently leads Hyperscan’s AI development team and mentors startups at the Innovation Academy.

Juris is an expert in developing AI systems and process automation, and is able to communicate technical details clearly.

Course Description

This course offers a comprehensive introduction to artificial intelligence (AI), focusing on its practical applications in business. Participants will gain a solid understanding of AI principles, learn how to implement AI strategies, and assess the associated costs and benefits. Through a combination of theoretical knowledge and practical exercises, the course equips professionals with the skills necessary to integrate AI into their organizations effectively. By the end of the course, participants will be well-prepared to leverage AI to enhance decision-making, optimize processes, and drive innovation.

Course Goals

Understand the basic principles of artificial intelligence and its potential impact on business.
Learn effective methods of using artificial intelligence assistants in management tasks.
Familiarize yourself with artificial intelligence tools and their application in various aspects of business.
Understand the possibilities of work automation and data processing using artificial intelligence.
Learn the principles of AI implementation strategy and policy making.
Understand methods of cost, return and risk assessment of AI projects.

After the course participants will be able to:

Grasp the basic principles of AI and its role in business management
Choose the right AI tools for specific management tasks
Identify and apply AI tools in various business processes
Develop a strategy and policy for AI implementation
Evaluate costs, returns, and risks of AI projects
Understand the principles of ethical and responsible AI use
Analyze the impact of AI on the organization’s structure and processes

Course will be:

In Person

Prerequisites

  • Management experience
  • General understanding of business processes and strategy
  • A basic understanding of the role of technology in business
  • Openness to innovation and new management approaches

Teaching methods used:

  • Theoretical lecture with interactive elements
  • Practical examples and case studies on the application of AI in management
  • Group discussions and hands-on exercises for using AI tools
  • Demonstrations and practical tasks using AI solutions in management tasks

Topic 1

Basic understanding of artificial intelligence
How does AI work? What is the role of AI now and in the future?
How to navigate AI as an industry?
What opportunities does AI bring to business?
What are the biggest challenges in implementing AI?

Topic 2

Effective use of artificial intelligence assistants in management
What are the types of AI assistants?
How to choose the most suitable?
How do AI assistants work?
What are the applications of AI assistants?
How to work effectively with AI assistants?

Topic 3

Artificial intelligence tools and their applications in business
What opportunities does WMD provide in different media?
Images and voice – processing and creation
Music and video – creation
How to navigate the wide range of tools?
What are the most valuable, well-known examples of AI tools in business?

Topic 4

Work automation and data processing with artificial intelligence
How can AI process data in spreadsheets?
How to create a chatbot trained on your information?
What are the potential business applications of such chatbots?
How to create your own AI-infused workflow automations?

Topic 5

Strategic management of AI
AI implementation strategy and policy in the company
Estimating the cost and return (ROI) of AI projects
Data management and security policy in the context of AI
Risk identification and management in AI projects
AI ethics and responsible use guidelines
Impact of AI implementation on organizational structure and processes

AI for Leaders

1) October 23rd, 2024 9:00-13:30

2) November 20th, 2024 9:00-13:30

In Person
Price: 185 € + VAT
Price with EU support: 55.5  € + VAT
Language: Latvian

Professor

Juris Baums

About the professor

Juris Baums is the co-founder and CEO of AI start-up Hyperscan, as well as AI training and consulting company AI Academy. Juris has studied at Riga and Danish Technical Universities and currently leads Hyperscan’s AI development team and mentors startups at the Innovation Academy.

Juris is an expert in developing AI systems and process automation, and is able to communicate technical details clearly.

Course Description

This course offers a comprehensive introduction to artificial intelligence (AI), focusing on its practical applications in business. Participants will gain a solid understanding of AI principles, learn how to implement AI strategies, and assess the associated costs and benefits. Through a combination of theoretical knowledge and practical exercises, the course equips professionals with the skills necessary to integrate AI into their organizations effectively. By the end of the course, participants will be well-prepared to leverage AI to enhance decision-making, optimize processes, and drive innovation.

Course Goals

Understand the basic principles of artificial intelligence and its potential impact on business.
Learn effective methods of using artificial intelligence assistants in management tasks.
Familiarize yourself with artificial intelligence tools and their application in various aspects of business.
Understand the possibilities of work automation and data processing using artificial intelligence.
Learn the principles of AI implementation strategy and policy making.
Understand methods of cost, return and risk assessment of AI projects.

After the course participants will be able to:

Grasp the basic principles of AI and its role in business management
Choose the right AI tools for specific management tasks
Identify and apply AI tools in various business processes
Develop a strategy and policy for AI implementation
Evaluate costs, returns, and risks of AI projects
Understand the principles of ethical and responsible AI use
Analyze the impact of AI on the organization’s structure and processes

Course will be:

In Person

Prerequisites

  • Management experience
  • General understanding of business processes and strategy
  • A basic understanding of the role of technology in business
  • Openness to innovation and new management approaches

Teaching methods used:

  • Theoretical lecture with interactive elements
  • Practical examples and case studies on the application of AI in management
  • Group discussions and hands-on exercises for using AI tools
  • Demonstrations and practical tasks using AI solutions in management tasks

Topic 1

Basic understanding of artificial intelligence
How does AI work? What is the role of AI now and in the future?
How to navigate AI as an industry?
What opportunities does AI bring to business?
What are the biggest challenges in implementing AI?

Topic 2

Effective use of artificial intelligence assistants in management
What are the types of AI assistants?
How to choose the most suitable?
How do AI assistants work?
What are the applications of AI assistants?
How to work effectively with AI assistants?

Topic 3

Artificial intelligence tools and their applications in business
What opportunities does WMD provide in different media?
Images and voice – processing and creation
Music and video – creation
How to navigate the wide range of tools?
What are the most valuable, well-known examples of AI tools in business?

Topic 4

Work automation and data processing with artificial intelligence
How can AI process data in spreadsheets?
How to create a chatbot trained on your information?
What are the potential business applications of such chatbots?
How to create your own AI-infused workflow automations?

Topic 5

Strategic management of AI
AI implementation strategy and policy in the company
Estimating the cost and return (ROI) of AI projects
Data management and security policy in the context of AI
Risk identification and management in AI projects
AI ethics and responsible use guidelines
Impact of AI implementation on organizational structure and processes