At De Montfort University Kazakhstan, we understand the ever-changing demands of the professional world and the importance of staying ahead in today’s competitive landscape. Our range of executive courses is designed to equip leaders, managers, and professionals with the skills, knowledge, and tools needed to excel in their fields and drive meaningful change within their organisations.
Let us empower you to lead with confidence and innovation.
AI and NLP in practice: deep dive in to PYTHON, LLMS, and generative AI
Description
This course equips participants with essential Python skills, advanced insights into Natural Language Processing (NLP) techniques, and practical applications of Generative Artificial Intelligence (AI) and Large Language Models (LLMs). It covers topics like deep reinforcement learning, text processing, and fine-tuning LLMs with real-world examples. Ideal for professionals seeking to harness AI's transformative potential in modern business solutions.
*NLP (Natural Language Processing) AI (Artificial Intelligence)
Delivery
In-person Hybrid
Lecturer
Dr. Saravana Balaji B
Duration
36 hours intensive weekend experience
Suitable for
IT Programmers and Team Leaders
Learning Outcomes
Write efficient Python code for AI applications.
Implement and understand deep reinforcement learning algorithms.
Apply NLP techniques for text processing and analysis.
Understand the architecture and functioning of Large Language Models.
Fine-tune LLMs for specific applications.
Use modern AI frameworks and tools effectively.
Course Content
Python Basics & Algorithms
Object oriented programming
Markov Decision Process
Reinforcement Learning – Deep Q-Learning
Natural Language Processing
Text Preprocessing Stemming Using NLTK
N-gram Implementation USing NLTK
TFIDF & Word2vec Practical Implementation
Large Langauge Models (LLM)
Introduction & Ingredients of an LLM
LLM Parameters & Context Window
Fine-Tuning LLMs
Generative AI Practical Examples
What is Generative AI- AI Vs ML Vs DL Vs Generative AI
How Open AI ChatGPt or LLama3 LLM Models are Trained
This course is designed for managers who are curious how to navigate current business challenges, foster ethical leadership, and develop self-awareness.
Teaching Approach
The course offers a mixture of practical activities reinforced by fundamental aca- demic knowledge.
Leadership Methods in Action, The Leader’s Toolbox, Self-Knowledge and Leader- ship Presence.
Delivery
In-person
Lecturer
Natalia Hartinger, PhD
Duration
14-16 hours intensive weekend experience
Suitable for
Managers of any experience level, aspiring leaders, and entrepreneurs
Learning Outcomes
Gain understanding of relevant leadership approach.
Reflect about contemporary business challenges.
Define appropriate and unique management style.
Formulate personal leadership development axis.
Course Content
Part 1
Leadership or Management?
Part 2
The Great Man Myth Debunked
Part 3
Current Context Challenges
Part 4
Leadership Ethics and Integrity
Cybersecurity Essentials
Description
Cybersecurity Essentials is a comprehensive course designed to equip participants with the foundational knowledge and practical skills to navigate the complex cybersecurity landscape effectively. Learners will embark on an immersive journey throughout this course, exploring key concepts and techniques for safeguarding digital assets against cyber threats.
Teaching Approach
Interactive lectures combining theory and hands-on practice. Practical sessions on password security, vulnerability assessments, and email encryption. Analysing real-world cybersecurity incidents to contextualize learning Collaborative problem-solving on cybersecurity scenarios. Project-based learning to reinforce key concepts
Delivery
In-person Hybrid
Lecturer
Dr. Meganathan R
Duration
16 hours intensive weekend experience
Suitable for
Suitable for all
Learning Outcomes
Understand the principles of informa- tion security and its importance in modern computing.
Identify and assess information security threats, including malware and vulnerabilities.
Develop skills to implement countermeasures against cyber threats such as password cracking, wireless attacks, and phishing.
Apply best practices for securing systems, devices, and online interactions.
Plan and execute data backup and di- saster recovery processes.
Course Content
Fundamentals of Information Security
Identifying Information Security Threats
Password Cracking Techniques and Countermeasures
Securing Operating Systems
Wireless Security and Countermeasures
Social Engineering Tactics
Mobile Security Essentials
Internet Safety and Social Media Security
Email Security and Encryption
Data Backup and Disaster Recovery
Data Analytics Fundamentals
Description
Data Analytics Fundamentals is a comprehensive course designed to equip participants with the foundational knowledge and practical skills essential for navigating the dynamic world of data analytics. From understanding the importance of data in a digital world to mastering data visualization, participants will gain a robust understanding of the entire data analytics process.
Teaching Approach
Interactive Lectures: Introduce foundational concepts with real-world examples
Hands-on Training: Use tools like Microsoft Excel, SQL, and Tableau for practical exercises
Case Studies: Analyze data-driven decision-making scenarios
Collaborative Projects: Encourage teamwork on data analysis tasks
Visualization Exercises: Emphasize insights through charts and graphs
Delivery
In-person Hybrid
Lecturer
Dr. Saravana Balaji B
Duration
24 hours intensive weekend experience
Suitable for
IT Programmers and Team Leaders
Learning Outcomes
Understand key data concepts and dif- ferentiate between structured and unstructured data.
Apply data analytics processes to extract meaningful insights.
Identify and utilize appropriate tools for data cleaning, refinement, and visualization.
Recognize the roles and methodologies in data science and analytics.
Develop visualizations to communicate data-driven conclusions effectively.
Course Content
Introduction to Data Concepts
Data Science Applications
Data Analytics Processes
Overview of Tools and Languages
Data Cleaning and Refinement
Data Visualization Techniques
Business Use Cases in Data Analytics
Mastering Change in Organisations
Description
This course will equip managers with the tools, strategies, and mindset to effectively lead and manage organisational change. Participants will explore the fundamental nature of change, learn about key triggers and types of organisational transformation, and develop an understanding of their role in leading change.
Delivery
In-person
Lecturer
Natalia Hartinger, PhD
Duration
14-16 hours intensive weekend experience
Suitable for
Managers of any experience level, aspiring leaders, and entrepreneurs
Learning Outcomes
Understand the nature, types, and drivers of organisational change.
Apply proven tools and frameworks for effective change management.
Recognise and address the emotional and cognitive impact of change on individuals and teams.
Develop communication strategies to inspire alignment and action during change initiatives.
Reflect on long-term perspectives and how to embrace change as an ongoing, infinite process.
Course Content
Part 1
What is Change? Types, Reasons, and Triggers
Part 2
What is Change? Types, Reasons, and Triggers
Part 3
Main Change Management Tools
Part 4
Cognitive Load, Emotions, and the Individual Journey of Change
Part 5
Communication as an Instrument of Change
Part 6
The Ever-Ongoing Nature of Change
Modular Business English
Description
The Modular Business English course is designed for professionals seeking to enhance their communication skills in the workplace. The program focuses on key topics essential for career success.
Teaching Approach
The course uses a communicative approach, emphasizing speaking and interaction. Participants will engage in
Business case studies
Group discussions & presentations
Practical activities
Delivery
In-person
Lecturer
Diana Kurmangaliyeva (MA TESOL)
Duration
12 hours intensive weekend experiencep>
Suitable for
Business professionals, Managers, Entrepreneurs, Team Leaders
Learning Outcomes
Communicate effectively in professional settings using advanced business vocabulary.
Build and maintain professional relationships through effective networking techniques.
Conduct successful negotiations with a focus on achieving mutually beneficial outcomes.
Deliver persuasive pitches to promote products and services.
Course Content
Leadership
Networking
Negotiations
Pitching products & services (persuasion)
Executive Program in Project Management
Description
This course introduces advanced
principles and methodologies in project
management, focusing on both traditional
and Agile frameworks. Participants will engage in interactive workshops, case studies, and simulations to bridge
theoretical concepts with practical application. Key topics include scheduling
techniques, risk management, stakeholder engagement, quality management,
and the integration of AI into project
management practices.
Teaching Approach
Interactive Learning Tools
Participants will utilize practical tools like Gantt charts, RACI matrices, decision trees, and stakeholder communication plans to foster hands-on learning.
Real-World Applications
Emphasis on real business cases, simulations, and workshops to bridge theoretical concepts with practical project management challenges.
Dynamic Learning Environment
Face-to-face lectures, seminars, and activities designed to encourage active participation and immediate application of concepts through action learning
Delivery
In-person Hybrid
Lecturer
Rafael Ruiz Velasco Santacruz
Duration
12-24 hours intensive weekend experience
Suitable for
Middle and senior managers, aspiring leaders, and entrepreneurs
Learning Outcomes
Understand and apply project management essentials, including scheduling, risk, and stakeholder management.
Differentiate between traditional and Agile methodologies and their applications.
Utilize tools such as Gantt charts, RACI matrices, decision making trees, and stakeholder communication plans.
Explore the impact of AI and other new technologies in the current project management spectrum.
Develop hands-on skills through case studies and simulations.
Learn about future career possibilities and/or company´s courses of action in the field.
Course Content
Foundations of Project Management
Advanced Scheduling and Planning
Risk Management in Projects
Stakeholder Engagement and Communication
Agile Methodologies and Practices
Decision-Making for Project Managers
Integrating AI and Emerging Technologies in Project Management
Leadership and Team Dynamics in Projects
Case Studies and Practical Simulations
Strategic Corporate Management
Description
This 2-day intensive course will equip managers with the tools and strategies
to effectively implement organisation strategies at both intrafirm and interfirm levels.
Participants will explore all major
organisational strategies,
explore key cases of their
implementation, and develop
understanding of how their
decision-making strategies would
crucially affect their organisations.
Delivery
In-person
Lecturer
Dr. Lee, Sun Ki
Duration
16 hours intensive weekend experience
Suitable for
Middle and senior managers, aspiring leaders, and entrepreneurs
Learning Outcomes
Understand the nature and motives
for major strategies implemented
by organisations.
Apply theoretical models to enhance corporate strategic reasoning.
Recognise and address the needs
for organisation change in strategy.
Discuss current issues by relating to key industrial/academic sources such as
The Economist and MIT Sloan
Management Review.
Team discussions and presentations with self-reflection aspects through journals.
Course Content
Part 1
Overview of Strategic Managemen
Part 2
Strategy Formulation
Part 3
Strategy Implementation
Part 4
Strategy Evaluation and Governance
Part 5
Key Strategic-Management Topics
Part 6
Strategic-Management Case Analysis
Contact Us
+7 727 339 00 90 (Admissions)
+7 700 339 00 90 (Admissions)
+7 771 500 55 77 (WhatsApp)
officedmuk@dmuk.edu.kz (General Enquiries)
admissions@dmuk.edu.kz (Admissions)
Location
Almaty City, Medeu District,
120/48, premises 4, Al-Farabi Ave., 050044,
Almaty, Republic of Kazakhstan
