DIRECTOR OF AI AND DIGITAL DEVELOPMENT. МВА

The "Director of AI and Digital Development MBA" program is designed for executives who strive not merely to implement technological solutions but to shape the strategy of the business's digital transformation, build the data architecture, manage algorithmic systems, and create sustainable competitive advantages in the era of the digital economy.

Today, a modern leader is required to do far more than traditional process management. They must be an architect of digital ecosystems, a strategist of technological development, a driver of cultural transformation, and the key person responsible for the ethical adoption of AI. This is a role that combines technological literacy, strategic vision, and the ability to manage complex digital projects.

The "Director of AI and Digital Development MBA" program is designed for current and future digital leaders who want to scale their technological vision, gain a deeper understanding of the economics of data, master AI strategy tools, and strengthen the company's position in the context of digital transformation.

The program combines technological, strategic, managerial, and ethical modules, enabling participants to form a holistic understanding of AI's capabilities, develop competencies in managing algorithmic systems, and adopt a new managerial identity.

The program is aimed at CEOs and top managers leading their companies' digital transformation; technology directors; business owners shaping their technological development strategy; and managers preparing to move into roles in digital management.

WHAT THE VALUE OF THIS COURSE IS:

• Document awarded: Diploma conferring the degree "Director of AI for Digital Development MBA." A diploma of professional retraining totaling 420 academic hours. License Series 77L01 No. 0010985, Reg. No. 040089 dated 29.05.2019.

• Format of training: Training takes place in a virtual classroom, where online meetings with experts, practical sessions, module study, access to recordings, and interim and final testing are conducted. The program includes in-person modules, ensuring live interaction with instructors and fellow course participants. You become part of an active professional community where you can exchange experience, discuss current legislative changes, and find like-minded people. Participants receive free access to current professional events, such as business tours and forums.

• The schedule allows for learning without interrupting work: EVENING (one or two weekdays per week) and SATURDAY classes, with courses viewed remotely on the iSpring platform.

• The opportunity to revisit completed material: access to video recordings, information materials, and presentations for 6 months after the completion of the training.

• The value of the course lies in its practical focus.

• Highly qualified instructors: the program's teaching staff is a synergy of academic and practical experience. Active technology directors and Chief AI Officers of major Russian and international companies. Architects of digital ecosystems with experience implementing complex AI projects. Specialists in data science, machine learning, and business analytics. Experts in digital law and the ethics of artificial intelligence.

• Mentoring and a professional community: participants in the program become part of a professional community that brings together financial executives and practicing experts. The program provides for mentoring: experienced specialists share strategic vision and help with solving current challenges and developing management competencies. This is not only support during training but also an opportunity to build strong professional connections that persist after the program ends.

WHAT THE COMPANY GAINS AS A RESULT OF THE TRAINING:

• Business model transformation: the graduate acquires the competencies to rethink business processes through the lens of AI solutions, creating new sources of added value and competitive advantages.
• Optimization of capital and resources: mastery of predictive analytics and AI tools.
• Workforce revolution: multidisciplinary teams of data specialists.
• Long-term effect: participation in the program provides access to a community of professionals, which facilitates the exchange of experience and the development of partnerships.
• Strengthening of innovation potential: creation of an ecosystem of technological leadership and growth in capitalization through digital assets.

PROGRAM

Module "AI Strategist: How to Think and Act in the Era of Technology"

• Use of specialized tools for forming and evaluating AI strategy: the AI strategy map, assessment of the company's AI readiness level, and a map of changes in the value chain under the impact of AI;

• tools for planning the development of AI projects.

• Creating balanced portfolios of AI projects taking into account risks and business sustainability.

• Managing internal organizational and cultural obstacles on the path of digital transformation.

• Identifying priority areas of change and making decisions based on data analysis.

• Forming a manageable artificial intelligence architecture that ensures efficiency and development.

• Practical mastery of modern data visualization and reporting automation tools to turn information into management decisions.

Module "Working with Data and Management Decisions Based on It"

• Mastering the full data lifecycle: collection, processing, and analysis.

• Study of methods and tools for data collection, including databases and streaming systems.

• Working with software tools for processing and preparing data for analysis.

• Application of statistical methods for deep understanding and interpretation of large volumes of information.

• Familiarization with modern business intelligence platforms and key performance indicator (KPI) management systems.

• Use of machine learning technologies to improve forecast accuracy and automate analysis.

• Developing skills for creating end-to-end solutions for data-driven management: processes of integration, storage, and processing of information.

• Mastering decision support systems for the effective use of analytics in management.

Module "Data-Driven Finance: New Thinking for the Digital Era"

• Mastering automated models and algorithms for identifying new sources of profit and managing risks.
• Use of tools for analyzing and evaluating the prospects of investments in modern technologies.
• Particular attention to the strategic valuation of digital assets, including cryptocurrencies, decentralized finance, and tokens as new business instruments.
• Developing investment strategies in conditions where capital is managed by algorithms and artificial intelligence.
• Practical application of modern methods of financial data analysis using software tools and platforms for trading and modeling.
  

Module "Artificial Intelligence in People Management"

• Mastering digital tools for automating recruitment and employee evaluation.
• Applying technologies to analyze team engagement and morale, integrated into traditional HR processes.
• Using a data-driven management approach to assess performance and predict career growth.
• Developing leadership skills and employee motivation through digital coaches and feedback tools.
• Implementing modern virtual reality technologies and digital avatars for onboarding, training, and personnel development.

Module "Marketing with Artificial Intelligence"

• Use of platforms for real-time customer data management and the creation of personalized offers.

• Application of dynamic pricing tools based on data analysis and machine learning.

• Mastering generative models for the rapid creation of creative materials – from advertising banners to product concepts.

• Attention to the ethical aspects of using personal data.

• Practical application of automatic personalization systems and customer behavior analysis to improve the effectiveness of marketing and sales.

Module "Legal Regulation and Ethics of Artificial Intelligence"

• Study of international and national approaches to AI regulation, including legislative initiatives in Europe, China, and Russia.

• Analysis of regulatory acts, judicial practice, and regulatory requirements using specialized legal resources.

• Development of corporate standards for the ethical use of AI based on international recommendations and industry examples.

• Discussion of the risks associated with discrimination, privacy, and liability in the use of AI.

• Forming an approach to AI implementation that takes into account legal constraints, values, and sustainability.

Module "AI Project Management and the Agile Organization"

• Mastering the full project management cycle in the field of artificial intelligence – from idea to implementation.

• Applying agile management approaches (Scrum, Kanban) and tools for coordinating team work.

• Using platforms for automating and sustainably maintaining AI solutions, including version control and deploying models in a real environment.

• Rapid prototyping and testing of ideas using visual tools and generative AI models.

• Managing risks, uncertainty, and scaling of solutions under conditions of constant technological change.

• Forming product development strategies capable of adapting to new opportunities and challenges of the digital environment.

Module "Cybersecurity and Data Protection in the AI Era"

• The main security threats in AI systems: model training interference, data substitution, and prediction hacking.

• Methods for detecting and protecting against attacks on algorithms using specialized tools and approaches.

• The capabilities of distributed storage and blockchain technology for data protection and access management.

• Privacy assurance tools, including anonymization, leak control, and personal data protection.

• Digital hygiene practices: how to manage risks, build resilient infrastructure, and reduce the vulnerability of AI systems.

• Developing a security policy for AI initiatives and fostering a culture of responsibility in the organization

PARTICIPATION FEE for legal entities – KZT 1,263,500
PARTICIPATION FEE for individuals – KZT 997,500
(We offer an interest-free installment plan by module so that you can invest in your education)

REGISTRATION at www.seminar.com.kz;
Tel. +77172640542; +77172640593 E-mail: conference@seminar.com.kz