Our Artificial Intelligence (AI) experts are experienced professionals in their fields who work with AI tools on a daily basis, lead innovative projects, and develop and implement automated solutions. Their expertise ranges from integrating complex AI solutions into business processes to introducing practical automation that helps improve efficiency, increase productivity, and reduce costs.
Technology and AI are evolving rapidly, increasingly transforming industries across the board. The ability to understand and apply AI solutions is becoming a major competitive advantage in every sector. Expand your knowledge and develop the most in-demand skills today—skills that help save time while driving your personal growth, your team’s development, and your company’s overall success.
HANDS-ON EXPERIENCE
IN-DEMAND SKILLS
REAL BUSINESS VALUE
Learn more about each of our experts

Alekss has been actively working and developing expertise in the field of AI for the past three years, including delivering training sessions and lectures.
AI solutions developed under Aleks’ leadership:
- Agents for generating functional and technical documentation for Dynamics 365 solutions;
- A functional test scenario design agent for Dynamics 365 solutions;
- A risk analysis agent for Dynamics 365 solution updates;
- A Power Automate automation code generation agent;
- A daily competitor analysis news agent;
- A Dynamics 365 inventory analysis and recommendations agent;
- A Dynamics 365 supplier communication agent;
- A Dynamics 365 order information update agent;
- A Dynamics 365 Digital Product Passport agent (prototype);
- A Dynamics 365 material certification data entry agent;
- A presentation slide generation agent for .pptx files (generates slides in HTML code);
- A blog writing agent tailored to a company’s specific communication style;
- Development of various AI agents for history educators.
Aleks’ key areas of expertise:
- Business process optimisation with AI;
- AI for individual productivity improvement;
- Microsoft 365 Copilot;
- Copilot Studio (intermediate level);
- Gemini;
- AI strategy at organisational level;
- Using AI for document creation and agent development.
Aleks applies a variety of teaching approaches, focusing on building comprehensive understanding and helping participants fully develop practical skills.

Edvīns is an experienced AI and technology expert with more than 10 years of international experience in developing and implementing digital solutions, data-driven initiatives, and automation projects.
His professional work focuses on supporting companies in implementing AI and automation solutions that significantly improve workflow efficiency, reduce manual tasks, and increase productivity.
Working with organisations across different industries, Edvīns has led and contributed to projects involving tailored AI solutions, including process automation systems, intelligent assistants, and AI agents adapted to business operations. These solutions help companies save both time and financial resources while improving decision-making quality and operational efficiency.
Alongside hands-on project work, he regularly delivers training for managers and teams, helping them understand how AI can be used as a strategic tool for business development.
Edvīns’ approach is practical and focused on measurable outcomes that create real business value.
gils’ primary area of expertise is n8n—workflow creation, process automation, AI agents, and implementing practical automation solutions in everyday work. He also actively works with ChatGPT, Codex, Google AI Studio, Claude Code, and other generative AI tools that support broader automation and productivity solutions.
Egils has extensive experience working with n8n workflows, AI agents, and automation solutions, as well as integrating AI tools into various work processes. These tools are used for information gathering, data processing, improving communication, preparing content, and automating routine tasks.
His teaching approach is simple and highly practical. The goal is not just to explain AI theory, but to help people feel confident enough to start integrating AI into their daily work immediately. The key outcome is for participants to leave the training with the feeling: “I can start using this today.”
Egils’ strongest areas of expertise:
- n8n workflow development and process automation;
- n8n agents and AI integrations;
- AI agents and digital assistant development;
- Practical use of ChatGPT in everyday work;
- Using Codex for programming and automation tasks;
- Practical use of Google AI Studio;
- Using Claude Code in automation and work processes;
- Prompt creation and optimisation;
- Implementing AI in business and everyday workflows.
Benefits of attending Egils’ training:
- Practical understanding of AI beyond theory;
- Confidence in using AI tools in daily work;
- Ability to create more structured and effective prompts when working with generative AI;
- Knowledge of using n8n to automate everyday workflows;
- Understanding of AI agents and their practical applications;
- Ability to combine n8n with ChatGPT, Codex, Google AI Studio, and Claude Code;
- Greater independence in using AI and automation in daily tasks and business processes.

Guntis is an AI and business development expert with more than 10 years of experience in innovation, technology, and digital product development. His professional background combines business strategy with hands-on AI implementation, helping organisations use technology to improve productivity, optimise processes, and unlock new business opportunities.
In his day-to-day work, Guntis uses AI tools, automates workflows, and develops tailored solutions for companies that reduce manual tasks, improve decision-making, and save both time and financial resources.
His approach is strongly focused on practical results—turning AI opportunities into concrete tools that can be applied immediately in everyday work.
Guntis also has extensive experience leading training sessions and practical workshops for company teams. He helps participants understand how AI can be used not only to improve daily efficiency, but also to drive strategic growth and strengthen competitiveness

Ģirts works in the fields of technology, data, and AI innovation, with a particular focus on deep tech solutions and science-based innovation development. He is also the founder and leader of the association “Ar pasaules pieredzi Latvijā”, contributing to the advancement of innovation and technology development in Latvia.
Ģirts’ academic and professional background includes studies at the University of New Mexico, where he earned a bachelor’s degree and further strengthened his expertise in data science and technology. His studies included data analytics, AI, and practical application of Python in data science.
His experience is closely connected to deep tech, data science, and AI solution development, with a focus on science-based innovation and data-driven decision-making. He works on projects and initiatives involving AI applications in analytics, data interpretation, and the implementation of technology in real business environments.
Ģirts’ key areas of expertise:
- Data science;
- Artificial intelligence;
- Deep tech innovation and science-based technology development.
His focus is on analytics, applying AI to solve business and industry challenges, and strengthening Latvia’s innovation ecosystem by supporting the introduction and practical use of new technologies across industries.
Ģirts is also one of the content creators of the BDA AI School, helping participants understand and apply the opportunities created by modern technologies.

Kārlis is an AI and software development expert with more than 10 years of experience in the technology sector. In his daily work, he develops AI systems that solve real business needs—from automation and data processing to customised AI solutions and intelligent workflows. His professional focus is on applying technology in ways that create measurable business value.
Kārlis’ experience includes leading innovative AI projects and helping organisations across industries implement solutions that improve productivity, reduce manual work, and optimise resource use. He places strong emphasis on ensuring AI solutions are not only technologically advanced, but also secure, reliable, and practical to integrate into everyday processes.
Kārlis also has extensive experience as a trainer and mentor. He helps both professionals and teams understand AI opportunities and turn them into practical solutions. His training combines theory with hands-on exercises, helping participants strengthen newly acquired knowledge and understand how to apply it effectively in real business environments.

Ilze has been developing her expertise in AI since 2021, when she completed the “Elements of AI” course at the University of Helsinki. She has been working with generative AI tools since 2022.
Ilze specialises in the development of AI assistants, with a strong focus on ensuring clear and easy-to-understand communication for clients. She also has experience working with complex prompt-based automation for presentation generation, using corporate templates and generative AI.
Ilze’s key areas of expertise:
- Use of generative AI for communication purposes;
- Effective presentation creation with AI (adapting both content and visual materials);
- Tips and tricks for efficient use of conversational AI tools (ChatGPT, Copilot, Claude, Perplexity);
- Human skills and intergenerational communication in AI-enabled work environments (communication, trust-building, and understanding).
In Ilze’s training sessions, participants develop not only theoretical knowledge but also practical skills—from creating engaging presentations to building fully functional AI agents.
Related courses:

Irbe Katrīna has been working in the field of AI since 2020. She began to deeply explore practical applications of AI tools in early 2023, focusing on digital marketing and applying AI within her department as a manager leading a team of 40+ people. Since 2025, she has been delivering AI training sessions and workshops.
Her business activities are strongly AI-driven, including:
- Training sessions and workshops she delivers: AI news evenings, Introduction to AI, AI for self-development, AI in coaching practice, Create Your Own AI Assistant Team;
- Claude Code agents for competitor content and sentiment monitoring, daily insights, weekly summaries, and newsletter aggregation;
- Development of agent-trainer systems using n8n workflows and various coaching and linguistic methods;
- Support for consulting processes using Google Workspace AI, Gamma.app, Claude.ai, and NotebookLM;
- Industry news monitoring using Perplexity Tasks;
- Custom GPTs and custom Gems for social media strategy, advertising copywriting, customer communication, and coaching task preparation.
Irbe Katrīna’s key areas of expertise:
- Use of AI in coaching and personal development (team coaching, leadership, and management skills);
- Development of courses and training programs using AI tools;
- Review and practical application of AI tools.
In Irbe Katrīna’s training sessions, participants gain practical knowledge of AI tools for various tasks and solution development—combined with inspiration, energy, and enthusiasm for creating, exploring, and experimenting.
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Jānis is the co-founder of the company “AI Academy” and simultaneously leads the AI startup Hyperscan.
He has been actively working with generative AI since 2023, applying it both in development work (Hyperscan) and in delivering training and consulting services at AI Academy.
Together with other co-founders, Jānis develops various AI solutions, including:
- Intelligent conversational bots for customer support (RAG-based);
- Automated document generation systems;
- Lead qualification systems;
- Mobile applications with image recognition capabilities;
- Onboarding assistants for new employees;
- Custom CRM systems with integrated AI components.
Training program includes 6 core modules:
- Large language model assistants and prompt/context engineering (ChatGPT, Claude, Gemini);
- Custom AI chatbot and agent development (RAG, API, MCP);
- Multimodal AI (image and audio);
- Data processing and analysis with AI;
- Business process automation using no-code tools (Make, n8n);
- Microsoft Copilot ecosystem.
Additional training includes process automation using Claude Code (context base creation and internal tool development).
Each module includes hands-on exercises based on real-world scenarios, allowing participants to apply AI tools immediately after training.
More than 69 corporate clients have been trained, including Swedbank, LMT, Balcia, the Parliament of Latvia (Saeima), Honeywell, Industra, and others across 11 industries.

Justs is a technology and AI enthusiast with hands-on experience in digital solution development and automation implementation. He works daily with modern tools, helping design more efficient solutions for process improvement, data usage, and workflow automation. His approach is strongly focused on practical outcomes.
In digital and innovation projects, Justs focuses on how AI can be applied in business processes to reduce manual work, optimise resource usage, and increase team productivity. His experience helps identify not only the potential of AI technologies but also practical ways to implement them in real working environments to deliver measurable business value.
In training sessions, Justs emphasises a clear and practical approach, helping participants understand how to use AI tools in everyday work and how to select the most suitable solutions that deliver real value. Participants gain both knowledge and practical skills they can immediately apply in their professional environment.

Krišjānis has been actively learning about AI for more than 8 years, continuously following the latest developments, tools, and practical applications across industries. For the past 5 years, he has also been sharing his knowledge as a trainer, helping others understand and apply AI solutions effectively in professional environments.
He specializes in integrating AI into design processes, helping teams incorporate AI tools into creative and visual communication workflows. In his work, AI is used for idea generation, design optimization, visual content creation, and improving the efficiency of creative processes, ultimately enhancing productivity and output quality.

Mārcis has been working in the field of AI and natural language processing (NLP) for more than 15 years, combining academic research with industry experience.
In 2009, he obtained a Master’s degree from St Edmund’s College, and in 2015 he earned a PhD in Computer Science from the University of Latvia.
His professional experience includes a wide range of language technology and AI projects. He has contributed to the development of statistical morphosyntactic taggers for Latvian, Lithuanian, and Estonian, as well as named entity recognition systems for Latvian and Lithuanian.
Mārcis has participated in several major European research projects, including ACCURAT, LetsMT, MultilingualWeb-LT, QT21, TaaS, and TTC, as well as multiple Baltic regional research initiatives.
He specialises in natural language processing, particularly machine translation, terminology processing, information retrieval, and semantic language technologies. His expertise covers both statistical and neural approaches to language data processing, with a focus on multilingual systems and language resource development for European languages.
Mārcis is also one of the content creators of the BDA AI School, contributing to the transfer of valuable knowledge and the application of AI and technology capabilities.

In 2022, Olavs founded a startup that uses AI to help prepare grant applications.
He currently works at the Ministry of Environmental Protection and Regional Development (VARAM), where he is implementing a national AI accelerator programme aimed at advancing AI adoption in public administration.
Olavs is also developing digidue.eu, a platform that helps companies assess their level of automation and digital maturity, and implement AI agents. He is additionally working on likumumekletajs.lv, a platform providing access to all Latvian legislation in one place. He is currently developing an AI agent platform aimed at helping companies evaluate and explore quantum computing opportunities.
Key areas of expertise:
- AI agent development and management;
- AI model fine-tuning;
- Deployment of local AI models/systems;
- Prototyping and productionisation of AI solutions;
- AI-driven programming;
- AI for personal development, productivity, and coaching.
He has experience not only with standard third-party tools but also with adapting solutions to internal systems and workflows. He has more than 400 hours of mentoring experience. His teaching approach is interdisciplinary and tailored to participants’ needs and interests.
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Raitis works in the fields of technology, data, and digital product development, where AI and data analytics are used as part of decision-making and product development processes.
His experience includes working in digital and technology environments with a strong focus on data-driven product development, team leadership, and business growth strategy.
Raitis is also active in the tech community, regularly sharing insights on product management, data usage, and organisational development.
His professional experience is primarily related to digital product development and data-driven decision-making in international companies. He has worked with product and business development teams where AI and data analytics are used to improve product strategy, user experience, and business outcomes.
His strengths lie in AI and data application in product development, organizational process optimization, and leading cross-functional teams in technology companies.

Ronalds became interested in AI around four years ago when ChatGPT became widely accessible. He studied advanced mathematics modules through both formal courses and self-study.
Since the emergence of ChatGPT, he has actively continued developing AI applications in daily work, building innovative solutions for businesses.
One of his recent projects is a customer discovery system integrated with the Lursoft database, enabling deep analysis of company data available online, including marketing materials. The system then generates personalised outreach emails and supports ongoing communication until a meeting is booked.
Ronalds specializes in business process automation using AI tools and has strong technical expertise across all implementation layers.
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Toms has been working in the field of AI for more than 10 years. He obtained a PhD in Language, Cognition and Computation from the University of Edinburgh in 2020.
His specialisation is natural language processing (NLP), machine learning, and neural network applications in language technologies. His expertise includes morphology learning, lemmatisation, machine translation, and low-resource language processing.
His research focuses on methods combining different levels of linguistic structure—subword, word, sentence, and document level—to develop more accurate and efficient AI systems for language understanding.
Alongside his academic work, he is actively involved in knowledge transfer and is one of the mentors and content creators at the BDA AI School.

Valters has been working in AI for 4 years and in the IT industry for 8 years.
In recent years, he has worked on several projects, including collaborations with public administration, implementing internal systems that help employees prepare responses to citizens’ requests more efficiently using AI.
His current project is the development of an AI tool that helps construction companies significantly speed up estimation and cost calculation processes.
Valters primarily works with large language models for administrative tasks, focusing on audiences without programming or technical backgrounds.
By attending Valters’ training, participants gain an understanding of AI fundamentals and widely used tools, as well as practical skills in building AI agents for specific tasks. The training includes analysis of real processes, identification of automation opportunities, and step-by-step development of at least one working AI agent that can be immediately applied in daily work and routine automation.
