AI Education Ecosystem

Programme description

This 6-hour workshop for top management provides a comprehensive introduction to generative AI, combining lectures, hands-on exercises, and strategy sessions. Participants will learn AI fundamentals, explore practical applications with tools like ChatGPT, Gemini, Claude, and Microsoft Copilot, test AI services for meetings and presentations, and develop strategies to foster an AI adoption culture within their teams.

Training Outcomes

Accelerated company-wide AI adoption through equipping top management with practical AI experience and strategic frameworks. Leaders’ understanding of AI capabilities and limitations results in better investment decisions, faster removal of organizational barriers, and accelerated cultural change across all levels of the organization

Programme description

Participants gain a strategic AI roadmap, ROI models, and a first 
use-case pitch ready for the board

Training Outcomes

Leaders’ ability to transition from AI experimentation to structured implementation with clear ROI, defined priorities, and initiatives ready for launch

Programme description

Executives develop a clear, scalable AI vision, a transformation 
map beyond chatbots, and a roadmap that doesn’t gather dust​

Training Outcomes

Leaders’ transition from AI experimentation to a concrete, action-driven transformation strategy aligned with real business outcomes. Many AI strategies stall due to overly abstract approaches 
or excessive focus on chatbots. A scalable roadmap linking 
AI investments to measurable business value

Programme description

Participants will grasp how to prepare for upcoming AI breakthroughs and shift towards an “LLM-powered organization.” They’ll understand changes in workflows, human roles, and task delegation, and know which AI-related skills to start building today

Training Outcomes

A structured decision-making approach for leaders to identify 
high-impact automation opportunities and prioritize business processes that deliver the greatest AI-driven value today. A shift from 
hype-driven adoption to focused automation, with clear understanding of evolving team roles and the AI capabilities the organization needs to develop

Programme description

The 2-hour lecture explores common barriers to AI adoption and strategies to overcome them, assesses organizational readiness, and examines the stages of AI maturity—from skepticism and experimentation to scaling and full integration. Participants will learn how to foster a sustainable AI culture within teams and measure the effectiveness 
of AI implementation

Training Outcomes

Reduced time-to-value from AI initiatives through leaders’ ability 
to understand and overcome common implementation barriers. 
Many organizations remain stuck between experimentation and full integration; adoption of a clear maturity model, practical strategies for building an AI-driven culture, and methods for measuring implementation outcomes

Programme description

The 2-hour lecture explores key developments shaping the future of AI, including multimodal models as the new standard, reasoning-capable systems, AI agents, personalization, vibe coding, digital avatars, business adoption, ethical challenges in education, policy and regulation, and the rise of AI washing

Training Outcomes

Enhancing Leaders’ ability to anticipate market changes and make informed investment decisions regarding new AI opportunities

Programme description

Embed AI into company culture by driving adoption through ambassadors, daily instruction updates, and performance review changes. Build 
AI-competent teams with AI champions across departments instead 
of a separate center. Scale AI from pilot to standard using an 
“AI pipeline” (case → pilot → scale → review). Enable management 
to lead by example in AI use and support. Adapt team structure, planning, and communication to new AI-driven requirements

Training Outcomes

Establishment of a repeatable process for scaling AI from isolated pilots to an enterprise-wide standard. The program teaches how to build AI pipelines, develop AI champions across departments, adapt performance evaluation systems, and ensure leadership by example

Programme description

Understand common obstacles to AI adoption and how to overcome them. Learn stages of AI maturity, from skepticism to scaling, and how 
to embed an AI usage culture in teams. Discover methods to measure 
AI implementation effectiveness

Training Outcomes

Overcoming organizational resistance to AI by addressing fears, misconceptions, and practical concerns that hinder adoption. As teams understand AI maturity stages and see evidence of measurable value, skepticism shifts into engagement—from “AI will replace us” to 
“AI makes us more effective”

Learn to scale AI from an experiment to a daily process by embedding prompts into SOPs, fostering new team habits, and leveraging leadership roles. Understand how to set process-oriented KPIs 
and report AI achievements without hype

Programme description

Develop the skill to identify AI opportunities by analyzing tasks based on frequency, repetition, complexity, and risks. Learn to clearly define AI use cases for various departments and evaluate their impact. Practical exercises enable creating real AI concepts based on your own tasks.

Training Outcomes

Teams’ adoption of a systematic approach to identifying high-value 
AI use cases within their functions. Analysis of tasks by frequency, repetition, complexity, and risk, translated into concrete AI concepts with clear impact metrics—resulting in a prioritized pipeline of 
AI opportunities grounded in real work

Programme description

Participants will learn how to launch controlled AI pilots in complex organizations such as banks or large corporations. The program explains how to design a safe MVP architecture without access to sensitive data, align the initiative with IT and compliance teams, 
and test AI solutions in an isolated environment. The practical 
part will help participants create an AI pilot canvas, defining 
the problem, the roles of humans and AI, the expected value, 
and key performance metrics

Training Outcomes

Reduced risks of AI experimentation through the launch of controlled pilots aligned with IT, security, and regulatory requirements

Programme description

Understand how to enable LLM access to corporate data via embeddings and vector databases. Learn how to properly prepare and structure documents for efficient retrieval. Discover methods for automatic knowledge updates through various import channels

Training Outcomes

Unlocked corporate knowledge base for AI-powered search, significantly reducing time spent by employees on finding information. Integration of LLMs with internal data via embeddings and vector databases, enabling the creation of internal AI assistants that provide accurate, context-aware responses—transforming fragmented documents into an accessible knowledge system

Programme description

Learn how to assess AI response quality, monitor risks, and log data for analysis. Master A/B testing of prompts, distinguish what to 
fine-tune versus optimize via prompting, and maintain your agent through regular updates of models, knowledge, and prompts.

Training Outcomes

Ensured accuracy and reliability of AI assistants through structured quality evaluation and systematic maintenance. Without monitoring, 
AI tools degrade over time, producing lower-quality results. Implementation of practices for response quality assessment, 
prompt A/B testing, distinguishing between fine-tuning and prompt optimization cases, and maintaining AI systems through regular updates

Programme description

Assess AI limitations and risks — hallucinations, bias, prompt injections, data poisoning, and content rights. Develop risk mitigation strategies: data privacy, AI governance, ethics. Practice identifying hallucinations in AI responses.

Training Outcomes

Minimized legal, reputational, and operational risks associated 
with deploying AI within the organization

Programme description

The 2-hour webinar covers what information should never be entered into AI services, how companies use your prompts, and ways to prevent AI from training on your data. Participants will learn about 
AI “hallucinations” and biases, explore ethical principles with 
real-world cases, review legal aspects of AI-generated content, 
and discover how to use open-source AI models on local infrastructure

Training Outcomes

Ensured compliance with data protection standards and reduced 
the risk of sensitive information leakage through AI tools

Programme description

This program helps teams systematically develop AI competencies and integrate AI tools into daily workflows. Participants learn practical AI use cases, prompting techniques, and automation approaches to increase productivity and improve decision-making across product, engineering, and business teams.

Training Outcomes

Increased AI literacy of teams for improved cross-functional productivity and reduced dependence on external consultants

Programme description

This course demonstrates how AI agents can automate reporting, document processing, workflow coordination, and routine operational tasks within organizations.

Training Outcomes

Increased team capacity for strategic work through automation 
of routine operational tasks. Instead of hiring more people to handle growing operational workload, organizations can deploy AI agents for routine work—reducing costs and errors

Programme description

Learn why prompt quality matters and how to craft effective prompts with clear roles, context, and response formats. Understand prompt types, common mistakes, and how to improve prompts independently. Get recommendations on preserving and sharing best practices within teams

Training Outcomes

Standardization of prompt quality across the organization 
for consistently better AI results and reduced rework

Programme description

Training “AI Tools for Audio and Video Generation” will guide participants through creating voiceovers from any text, composing personalized songs, and developing conversational and interactive digital avatars. Attendees will explore various AI-powered video generation methods—from text-to-video to complex storyboard and video transformations—and review real-world cases of AI-generated media in marketing and communications. The session includes hands-on exercises with leading tools for AI-based audio and video creation

Training Outcomes

Reduced dependence on external agencies in audio and video content production by enabling teams to create professional media content 
in-house using AI. From voiceovers and personalized songs to digital avatars, application of practical workflows that reduce production time from weeks to hours, significantly lowering costs while maintaining quality

Programme description

The practical 2-hour training will teach participants how to craft effective prompts, simplify image creation without design skills, 
and explore real-world cases of AI-generated visuals in marketing 
and communications. The session includes hands-on exercises with leading AI image generation tools

Training Outcomes

Optimization of design processes by enabling non-designers to quickly generate professional visuals using AI. Marketing, sales, and product teams no longer wait days for design resources. 
Application of practical prompting techniques and tools that allow anyone to create on-brand visuals for presentations, social media, 
and campaigns within minutes

Programme description

Master the skill of crafting effective AI prompts to receive accurate and useful responses. Learn to use different prompt types and avoid 
AI “hallucinations.” Gain hands-on experience in generating project documentation, risk analysis, report preparation, and communication

Training Outcomes

Accelerated preparation of project documentation, risk analysis, 
and stakeholder communication through equipping PMs with effective prompting skills. Project managers who can craft precise prompts 
spend less time on administrative tasks and more on strategic decisions, improving delivery speed and documentation quality

Programme description

Hands-on sessions designed to help project managers apply AI tools 
to streamline workflows, enhance decision-making, and improve project outcomes through automation and intelligent insights

Training Outcomes

Improved project delivery timelines and decision quality through integration of AI tools into PM workflows for planning, tracking, 
and reporting. Practical workshops demonstrate where AI adds value 
in daily PM work—from automating status reports to scenario 
analysis—resulting in measurable improvements in project efficiency

Programme description

Interactive workshops focusing on leveraging AI for marketing tasks, including content creation, campaign optimization, audience analysis, and automating repetitive processes

Training Outcomes

Increased volume of marketing output and campaign ROI through embedding AI into content creation, audience analysis, and campaign optimization. Marketers using AI tools produce more content, test 
more variations, and analyze results faster—delivering a competitive advantage in speed to market

Programme description

This course teaches business analysts how to use AI tools 
to accelerate research, requirements analysis, documentation, and stakeholder communication. Participants learn practical prompting techniques to analyze data, generate insights, and support 
decision-making

Training Outcomes

Acceleration of the end-to-end business analysis cycle—from requirements gathering to stakeholder reporting—through the use of 
AI for research, data analysis, and documentation. Business analysts leveraging prompting techniques process more information, generate insights faster, and produce higher-quality deliverables with less effort

Programme description

Learn how to leverage AI tools for effective data analysis and visualization. Gain hands-on experience applying AI to extract insights and present data clearly

Training Outcomes

Faster and more accurate business decision-making through teams’ use of AI for data analysis and visualization. Independent extraction of insights and creation of clear visualizations—democratizing analytics across the organization and reducing time from question to answer

Programme description

This course equips recruiters to integrate AI into sourcing, 
candidate assessment, and communication. Participants will learn modern techniques, create effective prompts, use tools like ChatGPT, Gemini, and Perplexity, and apply ready-made solutions for job postings, outreach, and profile analysis, culminating in a personalized AI recruitment strategy to speed up hiring and 
improve candidate quality

Training Outcomes

Reduced time-to-hire and improved candidate quality through automation of the most labor-intensive recruitment tasks—sourcing, screening, outreach, and profile analysis. Recruiters integrating AI into their workflow process more candidates, craft more effective outreach, and make more informed decisions—closing roles faster without compromising quality

Programme description

Workshops tailored for HR specialists to master prompt engineering, utilize ChatGPT for recruitment, employee engagement, 
and communication tasks, and implement AI-driven solutions 
in daily HR operations

Training Outcomes

Improved recruitment efficiency and HR communications through the use of AI for rapid job description creation, automation of interactions with candidates and employees, generation of internal materials, and reduced manual workload for HR teams—enabling faster hiring processes and improved quality of interactions

Programme description

Understand the evolution of AI, differences between traditional 
and generative AI, and specialized vs. AI-driven tools. Explore key concepts like prompt engineering, fine-tuning, and RAG, with practical examples of AI successes and failures in law

Training Outcomes

Acquisition of fundamental AI knowledge by legal professionals 
for identifying practical applications in legal practice

Programme description

Get familiar with universal and specialized AI services 
(ChatGPT, Copilot, Lexis+ AI) and key tools for search, reasoning, deep research, and advanced data analysis. Gain hands-on experience using AI tools to enhance legal research efficiency

Training Outcomes

Increased speed and accuracy of legal research through the implementation of general-purpose and specialized AI tools

Programme description

Understand how AI is transforming legal roles, automating routine tasks, and emphasizing soft skills and emotional intelligence. 
Explore new AI-powered legal services and platforms, ethical standards development, and preparing for a technology-driven future in law

Training Outcomes

Transformation of the legal function through AI integration, process optimization, and development of new competencies—enabling increased operational efficiency, improved quality and soundness of legal decisions, reduced routine workload, and readiness for rapidly evolving technological environments

Programme description

Learn about AI applications in document understanding, generation, contract analysis, M&A, dispute resolution analytics, and case outcome prediction. Practice preparing and analyzing legal documents with 
AI support

Training Outcomes

Reduced time for document review, contract analysis, and due diligence through the use of AI-powered document analysis tools

Programme description

Discover upcoming AI breakthroughs in banking, prepare your structure for complex task automation and shifting team roles. Learn how to implement the “business with LLM inside” model and develop essential AI skills now

Training Outcomes

Prepared leadership and banking teams for upcoming AI-driven 
changes in operations, roles, and the competitive landscape

Programme description

Know what is prohibited and allowed under bank AI policies. 
Learn safe AI usage workflows, data privacy best practices, and procedures for consulting AI ambassadors or tech support when in doubt

Training Outcomes

Effective and compliant use of AI by banking employees in line

with internal policies and regulatory requirements. Removal of key barriers to AI ROI by reducing uncertainty, providing clear guidance on permitted use, safe workflows, and escalation paths for ambiguous situations

Programme description

Discover why AI matters to everyone, including non-technical roles, and how it is already integrated into banking processes. Learn 
to dispel common myths and see real-world, safe AI use cases like document analysis and customer request classification. Understand 
the human role as decision-maker supported by AI

Training Outcomes

Reduced skepticism toward AI within banking teams through demonstration of real, safe use cases from everyday work