In-house training

Courses can run in person, online or in a hybrid setup, following what the client needs and what works for the participants.

The material can be aligned with the organisation’s current goals, development direction and competence needs, so the knowledge is genuinely relevant.

Participants can interpret what they learn inside their own working environment, and the course is built on examples that fit that situation.

The course uses concrete, domain-specific examples that connect directly to the participants’ everyday tasks.

We give targeted support on how the knowledge can be built into the way the organisation and the individual teams actually work.

A course is not a one-off event for us: the goal is a lasting effect on how the organisation operates and on how the participants develop.

This course builds on the TOGAF® Standard by focusing on its practical application and deepening the knowledge gained at the Foundation level. Participants will learn how to execute the full ADM cycle in practice, manage stakeholders, handle change management, and apply requirements management along with supporting techniques. It is designed for those who want to apply the TOGAF® Framework in real organizational environments and prepare for the Practitioner-level certification. The two-day (2×8 hours) program is an officially accredited training by The Open Group, fully meeting international requirements.

This practical course is based on the Enterprise Architecture Implementation Wheel (EAWheel) methodology, which provides a visual and structured framework for implementing and operating Enterprise Architecture. The Wheel consists of four main stages (Document, Define, Execute, Control), each with defined steps and key focus areas. The method is easy to adapt, requires no lengthy preparation, and is an ideal starting point for organizations beginning their EA journey. It supports gradual implementation and interative approaches, while integrating seamlessly with the processes of the TOGAF® Standard, enabling its simple and practical use within the organization. Duration: 2 days (2×8 hours) Format: practice-oriented, with interactive exercises, case studies, and group work.  

This course provides an introduction to the TOGAF® concepts, structure, and the steps of the ADM cycle. It establishes the theoretical foundation needed for higher levels and prepares participants for the Foundation exam. It is recommended for anyone who wishes to organize their architectural knowledge based on a structured, internationally recognized standard. The two-day (2×8 hours) program is an officially accredited training by The Open Group, fully aligned with international certification requirements.

This intensive 4-day (4×8 hours) program combines the TOGAF® Enterprise Architecture Foundation (Part 1) and the TOGAF® Enterprise Architecture Practitioner (Part 2) officially accredited trainings, approved by The Open Group. The first two days cover the theoretical foundations, concepts, structure, and logic of the TOGAF® Standard, 10th Edition, and the Architecture Development Method (ADM). The second two days focus on the practical application of the methodology, tailored to real enterprise environments. The aim of this program is to equip professionals with the knowledge and skills to effectively apply the TOGAF® Framework in real-world enterprise architecture practice, and to prepare participants for both official certification exams. Upon successful completion, participants will earn the TOGAF® Enterprise Architecture Practitioner certification and become eligible for the TOGAF® Enterprise Architecture Applied Practitioner digital badge.

This intensive 2-day (2×8 hours) officially accredited course, approved by The Open Group, is designed exclusively for professionals who already hold the TOGAF® 9 Certified credential and wish to update their qualification to the TOGAF® Standard, 10th Edition at the Practitioner level.

The program provides a focused, accelerated path to learn the updates in TOGAF® Standard, 10th Edition, deepen practical application skills, and prepare for the Practitioner (Part 2) exam. The course fee includes the official exam voucher.

This course is based on the Business Architecture domain of the TOGAF® Standard, 10th Edition, and demonstrates how business architecture can support organizational strategy and operations. Participants will learn the key concepts, models, and views of Business Architecture, as well as how it fits into the overall Enterprise Architecture framework. The program aims to provide participants with a common vocabulary and methodological foundations that can serve as a basis for advanced studies or practical application. Duration: 2 days (2×8 hours).

The AI Awareness Training provides a clear and practical introduction to the EU Artificial Intelligence Act (AI Act) and the emerging Hungarian regulatory framework. The course explains the EU’s risk-based approach, including prohibited practices, the requirements for high-risk systems, the transparency obligations tied to specific system types (Article 50) and the rules for general-purpose AI models, and clarifies what these rules mean for organisations operating primarily as AI deployers/users. Participants gain an understanding of related legal areas—data protection (GDPR), cybersecurity (NIS2 / Hungarian Cybersecurity Act), business secrecy, and intellectual property—and explore real organisational risks such as shadow AI, data leakage, biased HR algorithms, and deepfake-based fraud. The training focuses on safe, responsible day-to-day AI use and supports organisations in building compliant internal governance. Duration: 4 hours Format: interactive, instructor-led

This Organisational Change Management (OCM) training provides comprehensive yet practical support for leaders and key contributors who are responsible for preparing, leading, or supporting organizational change initiatives. The program is built on the premise that change management is not merely a technical or project management discipline, but a consciously designed, structured, and people-centred process that enables new ways of working to be adopted and sustainably embedded into everyday organizational practice. 

The training responds to the challenges of today’s rapidly changing business environment. Accelerating technological development, shifting market and customer expectations, and evolving regulatory conditions require organizations to continuously adapt. The goal of the program is to help participants become conscious shapers of change rather than passive recipients of it.

Duration: Two days (2x8 hours) Delivery Format: Instructor-led 

  The ITIL® Foundation (Version 5) training provides an introduction to the core concepts of digital product and service management based on the latest evolution of the ITIL framework. This two-day, instructor-led course delivers comprehensive knowledge of the ITIL Value System, the Product and Service Lifecycle model, the Product and Service Management Four Dimensions model, and the ITIL Guiding Principles.

The two-day (2×8 hours) program is an officially accredited training by PeopleCert and fully complies with international certification requirements.

The ITIL® Foundation Bridge training is designed to provide a transition between ITIL® 4 and ITIL® (Version 5), specifically for those who already hold an ITIL® 4 Foundation certification and do not want to relearn the entire framework from scratch. During the course, participants focus on the new and enhanced elements introduced in ITIL® (Version 5), enabling them to efficiently update their existing knowledge. It explains how ITIL® has evolved from traditional IT service management into a modern, digital product and service–oriented framework that supports automation, data-driven operations, and the use of artificial intelligence.   The 1-day (8-hour) program is an officially accredited training course by PeopleCert, fully compliant with international certification requirements.

The AI+ Security Compliance Practitioner™ is an advanced certification that merges the fundamental principles of cybersecurity compliance with the transformative power of artificial intelligence (AI). Building on the CISSP framework, this certification focuses on how AI can enhance compliance processes, improve risk management, and ensure robust security measures in alignment with regulatory standards. This certification validates knowledge of core principles of cyber security compliance, and assesses understanding of how AI can enhance security posture. This certification structure integrates comprehensive cybersecurity compliance principles with advanced AI applications, validating candidate competency in ensuring compliance and enhancing security through AI technologies.

Prerequisites

Basic cybersecurity, networking, programming, and AI/ML fundamentals.

This certification validates intermediate-level knowledge of AI-driven cybersecurity concepts and assesses competency in applying security controls, risk management practices, and AI-enabled threat detection techniques. The exam evaluates understanding of advanced security principles within AI-augmented environments.

Prerequisites

Interest in AI technologies, basic computer science knowledge, curiosity to learn, and awareness of AI ethics and data privacy.

This certification validates advanced-level expertise in AI-driven cybersecurity strategy, governance, and risk management. The exam assesses deep knowledge of advanced security architectures, AI-enabled threat intelligence, and strategic security decision-making within complex enterprise environments.

Prerequisites

Advanced AI security knowledge, Python, cybersecurity, cloud, blockchain, Linux, and AI-driven security engineering skills.

The AI+ Ethical Hacker Practitioner™ certification validates knowledge of the intersection of cybersecurity and artificial intelligence, a pivotal juncture in an era of rapid technological progress. Designed for cybersecurity professionals and ethical hacking practitioners, it assesses comprehensive knowledge of AI’s impact on digital offense and defense strategies. Unlike conventional ethical hacking certifications, this certification validates competency in applying AI techniques to enhance cybersecurity approaches. It is intended for professionals seeking to validate expertise in the integration of advanced AI methods with ethical hacking practices in a rapidly evolving digital landscape.

Prerequisites

Programming, networking, cybersecurity, operating systems, ML fundamentals, and web technologies knowledge.

This certification validates professional knowledge and competency in the combination of artificial intelligence and current networking technologies. The exam assesses understanding of fundamental networking concepts, newer technologies such as SDN and NFV, and how AI can enhance network efficiency. Key focus areas include AI-powered network automation, orchestration, and security upgrades. The exam includes scenario-based questions covering emerging developments in AI-enhanced networking, validating candidate readiness for leadership roles in this rapidly evolving sector.

Prerequisites

Basic networking, Python, AI/ML fundamentals, and familiarity with network management tools.

This certification validates foundational knowledge of AI-driven cybersecurity concepts and assesses understanding of security principles, threats, and controls. The exam evaluates competency in applying core cybersecurity knowledge within AI-enabled environments.

Prerequisites

Basic AI, cybersecurity, networking, security operations, data protection, programming, and responsible AI knowledge.

• AI-Powered Marketing Strategy: Learn to align AI-driven marketing initiatives with organizational goals, optimizing customer engagement and maximizing business value across marketing campaigns.
• Predictive Content Creation & Campaign Design: Leverage machine learning and AI tools to predict content trends, optimize messaging, and streamline campaign scheduling for improved delivery and results.
• AI-Driven Marketing Resource Optimization: Utilize AI to match skills, forecast content needs, and balance workloads, improving productivity, reducing costs, and preventing burnout within marketing teams.
• Proactive Customer Insights & Risk Management: Implement AI-powered sentiment analysis and predictive risk detection to identify potential issues in real-time, enhance customer interactions, and strengthen marketing governance.
• Intelligent Analytics & Decision Support: Build AI-driven marketing dashboards, perform real-time market trend analysis, and automate campaign performance summaries to generate actionable insights from raw marketing data.

Prerequisites

A basic understanding of AI tools and their applications in marketing, proficiency in Microsoft 365 tools and functionalities, a solid foundation in core marketing principles and strategies, the ability to analyze and interpret marketing data, and familiarity with digital content creation and marketing tools.

• AI-Driven HR Transformation: Learn how to leverage Microsoft 365 Copilot across HR functions—from recruitment and onboarding to performance management, enhancing efficiency, accuracy, and decision-making.
• Managing AI-Enabled HR Operations: Develop the ability to oversee AI-powered HR workflows, including automated recruitment pipelines, performance review summarization, and workforce planning for improved organizational outcomes.
• Seamless Copilot Integration in HR Systems: Understand how to integrate Copilot with tools like HRIS, Microsoft Teams, Power BI, and Microsoft Graph to streamline HR operations and enable secure, data-driven processes.
• Leading Intelligent HR Workflows & Communication: Gain expertise in managing HR communications, drafting policies, automating meetings, and ensuring consistent, compliant, and empathetic employee interactions using AI assistance.
• Future-Ready HR with AI & Automation: Stay ahead by utilizing predictive analytics, AI agents, and prompt engineering to build agile, scalable, and employee-centric HR ecosystems powered by responsible AI.

Prerequisites

A solid understanding of AI and machine learning fundamentals, along with familiarity with HR processes and Microsoft 365 tools, is important for this course. Basic knowledge of data analysis, communication workflows, and HR systems will help learners maximize Copilot’s capabilities. Strong collaboration, attention to detail, and ethical decision-making skills are also essential for successfully implementing AI-driven HR initiatives.

• Smart Sprint Planning: Discover how AI-powered insights improve backlog prioritization, sprint forecasting, and resource allocation for predictable delivery.
• Adaptive Workflow Optimization: Learn to use AI tools to track progress, identify bottlenecks, and automate routine tasks to keep projects moving smoothly.
• Data-Driven Decision Making: Gain the ability to analyze real-time project metrics, risks, and team performance with AI support for faster, smarter decisions.
• Enhanced Team Collaboration: Master intelligent communication and reporting tools that improve stakeholder alignment, transparency, and cross-functional teamwork.
• Predictive Risk Management: Use AI to anticipate delays, budget overruns, and scope creep, enabling proactive planning and effective mitigation strategies.

Prerequisites

Basic understanding of project lifecycle and management principles alongside the awareness of agile methodologies like Scrum and Kanban. Introductory knowledge of artificial intelligence and its applications, and ability to address challenges in dynamic environments.

• AI Strategy Alignment: Learn to align AI initiatives with enterprise goals, enabling smarter portfolio decisions, stronger governance, and measurable business value across projects and programs.
• Predictive Planning & Scheduling: Use machine learning, Monte Carlo simulations, and intelligent forecasting to anticipate delays, optimize timelines, and improve delivery confidence before risks arise.
• AI-Driven Resource Optimization: Leverage AI for skill matching, capacity forecasting, and workload balancing to maximize productivity, reduce costs, and prevent burnout across teams.
• Proactive Risk & Compliance Management: Implement NLP-based risk detection, automated alerts, and continuous auditing systems to identify threats early, ensure compliance, and strengthen governance.
• Intelligent Reporting & Decision Support: Build AI-powered dashboards, conversational analytics, and automated executive summaries that transform raw project data into real-time, actionable insights.

Prerequisites

A strong foundation in AI and machine learning concepts, hands-on experience across the project lifecycle, familiarity with PMO governance and reporting structures, solid analytical and data interpretation skills, and confidence using digital project management tools.

• Context Strategy & Architecture: Learn how to design robust context architectures that go beyond prompts—managing instructions, memory, tools, and knowledge for reliable AI behavior across sessions and workflows.
• Building Context-Aware AI Systems: Gain hands-on skills in implementing context pipelines, RAG architecture, and memory systems that ensure grounded, accurate, and cost-efficient AI outputs.
• Context Management & Optimization: Master the Write-Select-Compress-Isolate (W-S-C-I) framework to control relevance, reduce hallucinations, optimize token usage, and scale AI systems effectively.
• Enterprise-Grade Context Integration: Learn how to integrate AI safely into enterprise environments with role-based access, compliance guardrails, secure memory, and conflict-free context orchestration.
• Future-Ready Agent & Workflow Design: Prepare for the next wave of AI by designing multi-agent systems, automated workflows, and context-driven architectures that remain reliable as models, tools, and scale evolve.

Prerequisites

A solid foundation in AI and machine learning concepts, proficiency in programming and data handling, familiarity with cloud platforms and IoT environments, and the ability to design, manage, and optimize contextual data, memory, and tool orchestration are essential for this course.

Revolutionize Healthcare Expertise with AI+ Pharma Practitioner™ for Smarter, Data-Driven Decisions

• Beginner-Friendly Pathway: Ideal for learners and professionals entering the world of AI in pharmaceuticals, offering clear fundamentals and easy-to-grasp concepts
• Integrated Learning Experience: Combines core pharma knowledge with intuitive AI tools, real-world case studies, and guided practice to strengthen analytical and operational skills
• Industry-Focused Growth: Equips you with practical projects, scenario-based exercises, and actionable insights to help you apply AI in drug development, research, compliance, and patient-centric solutions

Prerequisites

Requires basic biology knowledge, familiarity with pharmaceutical development and regulatory fundamentals, foundational understanding of AI and machine learning, essential data analytics skills, and strong awareness of ethical considerations in AI-powered healthcare.

• Foundational Insights: Understand the core AI technologies shaping real estate, from automated valuation models to predictive analytics and smart home systems.
• Advanced Applications: Master AI tools for property valuation, dynamic market forecasting, fraud detection, targeted marketing, enhancing decision-making and operational efficiency.
• Specialized Expertise: Deepen your knowledge of AI in investment strategies, risk management, energy optimization, and compliance to unlock new levels of business performance.
• Capstone Project: Create AI-driven solutions for real-world real estate challenges—automating pricing, optimizing property investments, and securing transactions.

Prerequisites

Basic understanding of real estate concepts such as valuation, marketing, property management, familiarity with digital tools, and an open mindset towards adopting AI in real estate operations.

• Intelligent Project Operations: Discover how AI enhances planning, scheduling, task prioritization, and progress tracking to reduce manual effort and improve project consistency.
• Predictive Planning & Resource Optimization: Use data-driven insights for timeline forecasting, workload balancing, capacity planning, and early risk detection to keep projects on track.
• Governance, Compliance & Risk Awareness: Understand how AI supports documentation accuracy, change control, audit readiness, and ongoing risk monitoring in project environments.
• Leadership Foundations for AI-Augmented Projects: Build skills to lead teams using AI-enabled workflows, including automated reporting, real-time insights, and improved stakeholder alignment.

Prerequisites

Foundational knowledge of project management practices, familiarity with common project tools, and basic understanding of AI concepts such as machine learning and predictive analytics. Ideal for professionals with project exposure seeking to apply AI to improve project efficiency and delivery.

• AI Strategy Development: Learn to design and implement AI strategies that align with business goals, driving innovation and performance.
• Leading AI Projects: Gain skills in managing AI projects, ensuring timely execution, resource allocation, and effective collaboration.
• AI Program Integration: Understand how to integrate AI into business processes for seamless transitions and maximum value.
• Managing AI Teams: Lead cross-functional teams, fostering collaboration and driving continuous improvement in AI initiatives.
• Future-Proofing AI Programs: Stay ahead of AI trends and adapt strategies to ensure long-term competitiveness in the evolving landscape.

Prerequisites

A good understanding of AI/ML fundamentals, project management experience, business strategy knowledge, familiarity with governance and compliance, and strong leadership and change management skills are essential for this course.

Empower Automation with AI+ Agent Specialty™ for intelligent, efficient task execution

• Beginner-Friendly Pathway: Perfect for learners stepping into the world of AI agents, offering simple, structured guidance for confident skill-building
• Immersive Learning Experience: Combines essential AI agent fundamentals, intuitive tools, and real-world workflows to help you understand, build, and deploy automated agents
• Action-Oriented Skill Development: Features practical exercises, scenario-based tasks, and guided projects so you can design, optimise, and showcase high-performance AI agents with ease

Prerequisites

Basic understanding of AI concepts, programming knowledge in Python or similar languages, and foundational data analysis skills. Perfect for learners with a problem-solving mindset who want to apply analytical thinking to real-world AI challenges and intelligent agent development.

• Drive Sustainable Innovation: Harness the Power of Advanced AI
• AI for Greener Decisions: Explore carbon footprint analytics, resource optimization, and climate-impact modelling.
• Strategic Sustainability Impact: Learn to design data-driven, eco-focused frameworks that support long-term environmental goals.
• Future-Ready Tools: Includes lifecycle assessment tools, emission-tracking AI, and smart energy-management systems.
• Efficiency & Responsibility: Boost operational efficiency, reduce waste, and accelerate your organization’s journey towards a cleaner, climate-conscious future.

Prerequisites

Basic Knowledge of Artificial Intelligence, Understanding of Sustainability Issues, Data Analytics Skills, Familiarity with Environmental Science, Programming Skills

• Beginner-Friendly Approach: Designed for aspiring creators eager to explore AI-assisted coding with ease and confidence
• Interactive Learning Journey: Blends core coding concepts, intuitive AI tools, and hands-on practice to build real problem-solving skills
• Project-Driven Growth: Provides guided exercises and practical projects to help you build, refine, and showcase your AI-powered coding talents

Prerequisites

Basic Computer Skills, Understanding of algebra and basic statistics, Logical Thinking, Programming Curiosity, English Proficiency

• Operational Excellence: Learn how AI streamlines billing, scheduling, claims, and staff workflows to relieve administrative burden.
• Resource Optimization: Master predictive analytics, demand forecasting, and data-driven decision-making for efficient hospital operations.
• Compliance & Privacy: Understand regulatory frameworks, data security, and ethical standards essential for AI-powered administration.
• Leadership Impact: Equip yourself to lead organizational change — from digital record-keeping to optimized patient flow and cost control.

Prerequisites

A basic understanding of healthcare systems and operations, foundational AI and machine-learning concepts, awareness of HIPAA and data-privacy rules, project-management capability for implementation tasks, and familiarity with healthcare software such as EHR platforms.

• Beginner-Friendly Pathway: A perfect starting point for learners exploring AI-driven video creation, editing, and automation
• End-to-End Mastery: Covers AI video fundamentals, advanced tools, generative video workflows, and responsible content creation
• Industry-Aligned Skills: Understand how AI video technologies shape marketing, education, entertainment, and business communication
• Practical Execution: Provides guided exercises, templates, and workflows to help you produce professional-quality AI-powered videos confidently

Prerequisites

Basic Video Editing Skills, Understanding of AI Concepts, Familiarity with Data Analytics, Experience with Content Creation.

• Comprehensive Skill Development Master AI-driven game design, adaptive storytelling, and intelligent NPC development to create immersive, data-enhanced gaming experiences.
• Industry Recognition Earn a globally recognized certification that validates your expertise in integrating artificial intelligence within modern gaming environments.
• Hands-On Learning Work on real-world gaming projects, from AI-based character behavior modeling to predictive player analytics, enhancing creativity and technical precision.
• Career Advancement Unlock career opportunities in game development, AI simulation design, virtual production, and interactive entertainment industries.
• Future-Ready Expertise Stay at the forefront of gaming innovation with cutting-edge knowledge in generative AI, immersive simulations, and intelligent gameplay systems.

Prerequisites

Requires basic programming knowledge in Python, understanding of linear algebra and probability, familiarity with machine learning concepts, and experience with Unity or Unreal Engine. Also, a creative problem-solving mindset is essential.

• Patient Interaction Excellence: Learn how AI enhances patient communication, appointment scheduling, and follow-up care to improve the patient experience.
• Clinical Workflow Efficiency: Master AI tools for streamlining patient intake, medical record management, and lab result analysis to optimize clinical operations.
• Data-Driven Decision Support: Gain expertise in using AI to assist healthcare providers with accurate diagnostics, treatment suggestions, and patient monitoring.
• Enhanced Medical Administration: Prepare to support healthcare teams with AI-driven administrative tasks, reducing errors, improving accuracy, and enabling faster decision-making.

Prerequisites

A basic understanding of medical terminology, foundational AI and machine-learning concepts, data analytics skills for interpreting medical data, proficiency in programming languages like Python, and knowledge of healthcare systems and clinical workflows are essential for this course.

• Empower Audio Innovation with AI: Creative, Practical, Transformative
• Beginner-Friendly Learning: Perfect for newcomers eager to explore AI-powered audio, covering essential concepts with ease
• Comprehensive Skill Building: Includes speech processing, sound enhancement, voice synthesis, and real-world audio AI applications
• Industry-Ready Expertise: Understand how AI is reshaping music, media, entertainment, and communication sectors
• Hands-On Direction: Provides practical frameworks and guided exercises to help you create, analyse, and optimise audio using AI

Prerequisites

Requires basic programming knowledge in Python, familiarity with audio signal processing and machine learning concepts, comfort with linear algebra and probability, and hands-on experience using DAWs or audio software. A creative and experimental mindset is essential.

• AI-Powered Construction Strategy: Learn how to apply AI across construction workflows—from planning and design to execution, enhancing efficiency, reducing costs, and improving decision-making.
• Managing AI-Enabled Projects: Develop the ability to oversee AI-driven construction projects, including scheduling, cost estimation, and risk forecasting for better project outcomes.
• AI Integration in Construction Workflows: Understand how to embed AI into existing systems like BIM, IoT, and digital tools to streamline operations and enable data-driven site management.
• Leading AI-Enhanced Site Operations: Gain skills to manage teams and site activities using AI agents, automation, and real-time insights to improve productivity and safety compliance.
• Future-Ready Construction with AI: Stay ahead by leveraging predictive analytics, generative design, and smart asset management to build resilient, efficient, and technology-driven construction operations.

Prerequisites

A solid understanding of AI and machine learning fundamentals, along with experience in project management, business strategy, governance, and compliance, is important for this course. Strong leadership and change management skills are also essential for successfully driving AI initiatives within construction environments.

• Healthcare Transformation: Learn how AI reshapes predictive analytics, diagnostics, and patient-centric solutions
• Comprehensive Modules: Covers ML, NLP, and ethical healthcare applications
• Practical Impact: Address real challenges like personalised medicine and operational efficiency
• Regulatory Navigation: Understand compliance and legal standards for AI in healthcare

Prerequisites

Basic networking knowledge, Python familiarity, fundamental AI/ML concepts

• Clinical Intelligence Focus: Designed for medical professionals to integrate AI into patient care and diagnostics
• Data-Driven Decisions: Equips doctors with tools to interpret AI-generated insights for precise treatment planning
• Comprehensive Medical AI Knowledge: Covers AI applications from predictive analytics to medical imaging and virtual health
• Future-Ready Expertise: Empowers healthcare practitioners to lead AI-driven innovations in clinical practice

Prerequisites

Basic medical knowledge, Familiarity with healthcare systems, Interest in technology integration, Data literacy, Problem-Solving mindset

• Core Concepts Covered: Legal workflows, AI technologies, Natural Language Processing (NLP), and contract review automation
• Advanced Topics: Explore Generative AI, predictive analytics in case outcomes, AI-driven legal research, and compliance monitoring
• Capstone Application: Design real-world legal AI agents for tasks like contract review, legal research, and compliance tracking
• Career Readiness: Build expertise to thrive in AI-powered legal roles, with mentorship and hands-on training in designing legal AI agents

Prerequisites

Basic understanding of legal workflows, Interest in AI and legal innovation, No prior coding experience required, Familiarity with digital tools

• Comprehensive Skill Development Master AI-driven game design by integrating procedural generation, adaptive storytelling, and intelligent NPC behavior to create immersive, dynamic gaming experiences.
• Industry Recognition Earn a globally recognized certification that highlights your expertise in blending artificial intelligence with creative game development.
• Hands-On Learning Practice with real-world projects involving AI-based level design, character behavior modeling, and player experience optimization to sharpen your practical game design skills.
• Career Advancement Explore opportunities in AI game development, interactive design, and simulation engineering across gaming studios, tech companies, and entertainment platforms.
• Future-Ready Expertise Stay ahead in the next era of gaming innovation with deep knowledge of generative AI, autonomous systems, and adaptive gameplay design.

Prerequisites

Basic knowledge of programming, game design fundamentals, and core mathematical concepts is recommended. Ideal for learners with an interest in AI principles, algorithmic thinking, and creative problem-solving to design intelligent, dynamic, and interactive game experiences.

• Core Concepts Covered: Learn AI fundamentals for finance, focusing on analytics, trading, risk, fraud, automation
• Capstone Application: Build practical AI finance agents supporting trading, risk evaluation, fraud monitoring, and forecasting
• Career Readiness: Gain expertise in AI-powered financial roles through mentorship, hands-on training, designing AI agents for finance innovation

Prerequisites

Basic Knowledge of Financial Markets, Familiarity with Machine Learning, Programming Skills, Statistical Analysis Understanding, Interest in Financial Technology

• Empowering the Future with AI+ Data Agent Specialty™: Shaping Smarter Decision-Makers
• Beginner-Friendly Certification: Perfect entry point to understand data-driven AI concepts and automation tools
• Comprehensive Foundation: Explores AI data handling, analytics, and real-world business insights
• Open to All: Designed for learners with curiosity about using data and AI for smarter outcomes

Prerequisites

Basic understanding of data management, analytics, and automation, with interest in AI-driven analysis and intelligent agent design. Ideal for learners seeking hands-on experience, industry recognition, and future-ready expertise in data systems, analytics, and autonomous technologies.

• Patient-Centric AI Care: Designed for nurses to leverage AI for enhanced patient outcomes
• Data-Driven Decisions: Provides practical insights for informed clinical and operational choices
• Comprehensive AI Understanding: Covers AI fundamentals to real-world healthcare applications
• Clinical Excellence with AI: Empowers nurses to confidently integrate AI into daily healthcare practice

Prerequisites

Basic nursing knowledge, Familiarity with healthcare technology, Critical thinking, Foundational AI and ML concepts, Problem solving skills

• AI for Governance: Understand how AI transforms public governance and policy frameworks
• Data & ICT Focus: Dive into data management algorithms, ICT techniques, and AI strategies for government
• Ethical Implementation: Gain expertise in responsible AI integration and policymaking
• Outcome-Oriented: Design AI-driven solutions that promote transparency and operational efficiency

Prerequisites

Basic networking knowledge, Python familiarity, fundamental AI/ML concepts

• AI-Driven Policy Design: Leverage AI to transform policy creation and improve decision-making efficiency
• Ethical Policy Making: Ensure fairness and transparency while integrating AI in responsible policy frameworks
• Impact-Centric Frameworks: Create AI-powered policies that drive measurable outcomes and enhance governance efficiency

Prerequisites

Basics of AI and ML, Understanding of data privacy principles, Awareness of policy-making processes, Ability to interpret data-driven insights.

• Beginner-Friendly Course: Ideal starting point to explore AI principles and practical tools
• Foundational Learning: Covers AI fundamentals, real-world applications, and ethics
• No Technical Background Needed: Requires basic interest in using technology

Prerequisites

Interest in ethical considerations related to AI’s impact on society, fundamental AI/ML concepts

• Powering the Next Era of Mining with AI: Smarter, Safer, and Sustainable Operations
• Beginner-Friendly Course: Perfect introduction to explore how AI transforms modern mining practices
• Foundational Learning: Explains AI-driven exploration, automation, data analysis, and safety innovations
• No Technical Background Needed: Open to anyone eager to understand the role of technology in mining

Prerequisites

The AI+ Mining Practitioner™ course requires basic knowledge of mining operations, data analytics, and statistics. No coding experience is needed, and familiarity with GIS or industrial automation is a plus.

• Foundational Insights: Explore AI technologies enhancing telecom networks, from predictive maintenance to network optimization and customer service automation.
• Advanced Applications: Master AI in 5G deployment, anomaly detection, and real-time resource management for improved network performance.
• Specialized Expertise: Learn AI solutions for cybersecurity, fraud detection, and efficient IoT integration to ensure network reliability.
• Capstone Project: Develop AI-driven solutions for real-world telecom challenges like network optimization and intelligent service delivery.

Prerequisites

Basic understanding of telecommunications concepts and technologies, familiarity with programming, preferably Python, basic knowledge of data analysis techniques, prior experience with AI.

• AI Testing Mastery: Gain hands-on experience with AI-powered testing tools and techniques
• Intelligent Automation Edge: Streamline defect detection and performance testing using intelligent automation
• QA Career Fast-Track: Accelerate your QA career with our comprehensive, industry-aligned exam bundle

Prerequisites

Programming Skills, Basics of QA, Foundational knowledge of machine learning concepts

• AI-Powered Business Intelligence: Leverage advanced tools to turn raw data into actionable insights
• Smarter Decision-Making: Make faster, data-driven decisions that align with business objectives
• Strategic Growth: Identify trends, opportunities, and risks to drive sustainable growth
• Data-Driven Innovation: Empower your strategy with predictive analytics and data-informed decisions

Prerequisites

Familiarity with software applications, Basic knowledge of data analysis (beneficial, not mandatory), Suitable for all expertise levels, with an interest in AI, ML, and BI

• Leadership Upgrade: Equip C-suite executives to lead AI-driven innovation
• Efficiency Focus: Use AI tools to optimize operations, decision-making, and resources
• Strategic Role: Aligns AI implementation with business intelligence goals
• Course + Exam: Combines theory and practical insights in a compact format

Prerequisites

Basics of business management, Experience in a leadership or business admin role, Familiarity with fundamental AI concepts.

• Prompt Mastery: Learn to design, refine, and optimise prompts across AI applications
• Hands-On Learning: Gain practical experience with advanced tools for prompt integration
• Real-World Focus: Solve real-world challenges using AI-driven prompt solutions
• Advanced Curriculum: Emphasises experimentation, project execution, and innovation
• Leadership-Oriented: Ideal for professionals bridging the gap between AI innovation and application.

Prerequisites

Basic understanding of AI concepts, RESTful services, Python familiarity,

• Comprehensive Learning: Covers logistics, operations, and supply chain digitization
• Advanced Supply Strategies: Develop innovative supply strategies and workflows
• Sector-Specific Solutions: Tailored sessions for real-world, sector-specific challenges
• Lead AI Supply Efficiency: Prepares learners to lead in AI-led supply chain efficiency

Prerequisites

Foundational knowledge of supply chain, Prior experience with business management or technical tools, such as ERP systems or data analysis software, will be beneficial.

• For All Learners: Designed for investors, professionals, and enthusiasts
• Comprehensive Curriculum: Covers history, transactions, security, and economics of Bitcoin
• Global Financial View: Understand Bitcoin’s role in global markets and future outlook
• Regulatory Clarity: Navigate the regulatory landscape with ease

Prerequisites

Basic Bitcoin Knowledge, Interest in Financial Technologies, Cryptocurrencies, and Blockchain, Willingness to Explore Emerging Technologies and Tools

• Comprehensive Overview: Learn blockchain mechanics, smart contracts, and DApps
• Strategic Insight: Gain understanding of emerging technologies and applications
• Leadership Prep: Perfect for executives needing a strategic blockchain foundation

Prerequisites

Understanding of computing processes and open networks, Basic knowledge to follow pseudocode, SDKs, Fundamental understanding of how business utilizes information technology.

• Foundational Learning: Covers Bitcoin scripting, blockchain tech, and security practices
• Advanced Builds: Learn Layer 2 scaling, SDK/API integration, and real-world use cases
• Hands-On Projects: Complete practical work with a capstone project
• Future-Ready: Understand trends and secure coding in decentralized apps

Prerequisites

Familiar with general programming concepts like data structures, algorithms and networks, Understand programming stack (e.g. Python, JavaScript, Java or similar), SDKs, APIs, application development tools.

• Career-Focused: Build expertise in blockchain and Bitcoin development
• Hands-On Skills: Tackle practical development work with future-oriented learning
• Innovation-Driven: Learn strategies for digital transformation and decentralized innovation

Prerequisites

Familiarity with general programming concepts, Basic knowledge of Python, JavaScript, Java, Able to use command line consoles.

• Leadership Certification: Master blockchain strategies for executive leadership roles
• Emerging Technologies: Understand trends, synergies, and innovations in blockchain
• Strategic Training: Learn how to lead digital evolution using blockchain insights

Prerequisites

Understanding of Computing Processes and Open Networks, Basic Knowledge to Follow Pseudocode, Understanding of Various Verticals and Business IT Utilization

• Core AI Foundations: Covers Python, deep learning, data processing, and algorithm design
• Hands-on Projects: Focus on NLP, computer vision, and reinforcement learning
• Advanced Modules: Includes time series, model explainability, and cloud deployment
• Industry-Ready Skills: Prepares learners to design and deploy complex AI systems

Prerequisites

Basic math, computer science fundamentals, fundamental programming skills

• Strategic Business Focus: Tailored for leaders to drive AI-led business transformation
• Decision-Making Power: Equips professionals with hands-on insights for informed AI adoption
• End-to-End Understanding: Covers frameworks from AI basics to real-world implementation
• Leadership-Ready Skills: Empowers executives to confidently integrate AI within operations

Prerequisites

Business Awareness, Tech Comfort, Decision-Making Insight, Openness to AI

• Responsible AI Focus: Master ethical AI use aligned with business and societal values
• Risk Mitigation: Learn to manage compliance, transparency, and AI decision-making
• Strategic Guidance: Integrate ethical practices into AI adoption and leadership
• Reputation Builder: Build organisational trust and credibility in AI deployments

Prerequisites

Basic knowledge of artificial intelligence, machine learning concepts, Python familiarity, fundamental AI/ML concepts

• Empower Educators: Focuses on AI curriculum design and classroom transformation
• Skill Development: Combines foundational concepts with advanced educational tools
• Practical Tools: Learn to analyse data, promote ethical AI, and design tailored learning
• Future Trends: Stay updated with innovative teaching strategies and AI integration

Prerequisites

Basic understanding of educational theories and practices, Technology Engagement, Curriculum Development, Curiosity.

• Foundational Knowledge: Covers generative AI, ML, NLP, and neural networks essentials
• Hands-on Learning: Offers practical training in designing and optimizing prompts
• Industry-Relevant Skills: Prepares learners to build effective AI solutions across sectors
• Prompting Expertise: Certifies participants to craft impactful, domain-specific prompts

Prerequisites

Understand AI basics, Willingness to think creatively to generate ideas and use AI tools effectively.

• Cloud-AI Fusion: Learn to integrate AI into scalable cloud environments
• Advanced Infrastructure: Master CI/CD, cloud AI models, and deployment strategies
• Capstone Project: Gain hands-on experience with real-world applications
• Future-Ready Skills: Prepares professionals to lead AI-powered cloud innovation

Prerequisites

Key concepts in both AI, Fundamental understanding of computer science, Familiarity with cloud computing platforms like AWS, Azure, or GCP

• Full AI Stack: Learn AI architecture, LLMs, NLP, and neural networks
• Tool Proficiency: Includes Transfer Learning with Hugging Face and GUI design
• Deployment Focus: Build real AI systems and manage communication pipelines
• Practical Mastery: Gain the skills to engineer scalable AI solutions for innovation

Prerequisites

AI+ Data Practitioner™ or AI+ Developer Practitioner™ course should be completed, basic math, computer science fundamentals, Python familiarity

• Real-Time Integration: Learn to apply AI in project planning, decision-making, and execution
• Advanced Curriculum: Covers AI algorithms, ML, and resource allocation tools
• Multi-Disciplinary Focus: Tailored for complex, cross-functional project scenarios
• Leadership Readiness: Empowers professionals to lead AI-driven project success

Prerequisites

Key concepts of basic mathematics and artificial intelligence, Python familiarity, fundamental AI/ML concepts

• Beginner-Friendly Course: Ideal starting point for those new to AI, covering core principles and practical insights
• Comprehensive Learning: Covers AI basics, real-world applications, generative AI, and ethical considerations
• Industry & Societal Impact: Gain insights into AI’s role in industries and its broader societal influence
• Actionable Guidance: Offers step-by-step resources to kickstart your AI journey and develop essential skills

Prerequisites

Basics of digital technologies, Awareness of ethical principles, Curiosity and openness to learning about new concepts and technologies

• AI-Powered Marketing: Explore predictive analytics, customer journey mapping, and automation
• Strategic Impact: Learn to develop data-backed, personalized marketing strategies
• Future-Focused Tools: Includes chatbots, AI content, and trend forecasting
• ROI & Retention: Boost lead generation, customer retention, and innovation

Prerequisites

Understanding of marketing principles, Familiarity with digital marketing tools and concepts, fundamental AI/ML concepts

• Sales Transformation: Harness AI to boost sales operations, CRM integration, and forecasting
• Hands-on Approach: Practical workshops covering AI tools and ethical sales practices
• Data-Driven Insights: Learn to analyze, optimize, and automate sales processes
• Growth-Oriented: Drive ethical business growth and maximize performance

Prerequisites

Basic familiarity with sales processes, proficiency in data analysis, Primary knowledge of CRM systems

• Customer-Centric AI: Redefine service workflows with AI-powered personalization
• Practical Execution: Implement automation tools to optimize CX and satisfaction
• Ethical AI Integration: Covers trust-building and responsible AI practices
• Competitive Edge: Learn to enhance communication and service delivery at scale

Prerequisites

Basic understanding of business operations, Digital tools familiarity, fundamental AI/ML concepts

• Education Innovation: Designed for educators and trainers to leverage AI in learning
• Deep Insights: Includes ML, NLP, Data Analytics, and adaptive learning strategies
• Capstone Delivery: Build AI-powered learning solutions tailored to diverse needs
• Ethical Education: Address ethics, data-driven instruction, and emerging trends

Prerequisites

Basic knowledge of computer science and statistics, data analysis, fundamental AI/ML concepts, Python and R.

• AI + UX Synergy: Revolutionise user experience with AI in design workflows
• In-Depth Curriculum: Includes ethical design, prototyping, and advanced content creation
• Adaptability: Build strategies for fast-evolving tech and maintain ethical standards
• Lead with Impact: Master personalised AI design for UX-focused product development

Prerequisites

Basic understanding of design concepts, familiarity with AI principles, interest in AI design tools

• Content Reinvented: Leverage AI for SEO, monetization, and impactful storytelling
• Productive Workflow: Enhance writing speed, accuracy, and tone with AI tools
• Creative Empowerment: Master AI prompt engineering for dynamic content
• Results-Driven: Produce optimized, high-performance content at scale

Prerequisites

Basic knowledge of writing styles and tones, Interest in digital content creation tools and AI platforms, fundamental AI/ML concepts

• Product Innovation: Leverage AI to drive product development and market fit
• Concept to Execution: Explore AI applications in real product lifecycle scenarios
• Market Advantage: Bridge the gap between tech innovation and customer needs
• Leadership Ready: Prepare for leading roles in fast-evolving product ecosystems

Prerequisites

Basics of digital technologies, open mindset towards learning new concepts, fundamental AI/ML concepts

• Creative AI Tools: Leverage AI tools to redefine design excellence in modern industries
• Strategic Execution: Blend foundational AI with practical design implementations
• Future-Proof Skills: Stay ahead with personalized, impactful AI-driven designs
• Ideal For Designers: Suited for creatives ready to lead the AI-powered design shift

Prerequisites

Basic understanding of AI concepts, Keen interest in exploring the intersection of AI and design, Willingness to think creatively and use AI tools effectively

• AI in Workforce: Learn to integrate AI for smarter recruitment and performance systems
• Data-Driven HR: Gain insights into talent acquisition and evaluation using ML
• Ethical Application: Understand responsible AI practices in people management
• Future-Ready Skills: Prepare to handle evolving HR dynamics with efficiency and equity

Prerequisites

Understanding of human resource, Familiarity with data analysis, fundamental AI/ML concepts

• Finance Transformation: Explore AI use in credit risk, fraud detection, and forecasting
• Smart Modelling: Apply predictive analytics and blockchain in financial strategies
• Practical AI Tools: Optimize operations and decision-making with hands-on training
• Strategic Readiness: Build financial resilience in complex economic ecosystems

Prerequisites

Basic understanding of finance, curiosity to know how AI impacts financial operations, willingness to understand ethical frameworks

• Future of Law: Equip legal professionals with AI tools for research, privacy, and compliance
• Critical Thinking: Focus on ethical concerns, precedents, and contract management
• Advanced Tools: Covers ML for legal documents, analytics, and case outcome prediction
• Hands-on Projects: Learn via simulations for real-world legal AI deployment

Prerequisites

Understanding of legal principles, curiosity and openness, ethical principles and moral reasoning

• Core Concepts Covered: Data Science foundations, Python, Statistics, and Data Wrangling
• Advanced Topics: Dive into Generative AI, Machine Learning, and Predictive Analytics
• Capstone Application: Solve real-world problems like employee attrition with AI
• Career Readiness: Develop skills for AI-driven data science roles with hands-on mentorship

Prerequisites

Basic knowledge of computer science and statistics, data analysis, fundamental AI/ML concepts, Python and R.

• Cybersecurity Focus: Learn to secure Bitcoin networks and transactions
• Best Practices: Master the latest security protocols and risk mitigation
• Specialized Training: Ideal for those pursuing roles in cryptocurrency and blockchain security

Prerequisites

Understanding the advancements in the field of Bitcoin, gain knowledge of Bitcoin’s structure, functionality, and blockchain principles, programming language (e.g., Python, C++, JavaScript) is preferred.

• AI-Driven Robotics: Apply AI in Deep Learning, Reinforcement Learning, and smart automation
• Real-World Systems: Work with autonomous systems and intelligent agents
• Ethics & Innovation: Learn industry-aligned practices and innovation strategies
• Hands-On Projects: Gain experience designing, optimising, and deploying robotics solutions

Prerequisites

Basic knowledge of computer science and statistics, data analysis, fundamental AI/ML concepts, Python and R.

• Deep AI Expertise: Covers neural networks, NLP, and computer vision frameworks
• Enterprise AI: Learn to design scalable AI systems for real-world impact
• Capstone Integration: Build, test, and deploy advanced AI architectures
• Industry Preparedness: Equips you for roles in high-demand AI design domains

Prerequisites

key concepts in both artificial intelligence, Fundamental understanding of computer science, Familiarity with cloud computing platforms like AWS, Azure, or GCP

• AI + Quantum Integration: Explore Quantum Gates, Circuits, and AI applications
• Advanced Learnings: Includes Quantum Deep Learning and transformative AI methodologies
• Industry-Oriented: Real-world case studies and trend analysis
• Ethical Focus: Learn implications of quantum AI responsibly and efficiently

Prerequisites

Basic understanding of AI concepts, Problem-solving mindset in AI and Quantum, Openness to ethical considerations in AI and quantum practices.

• Research Evolution: Learn AI tools for market research, analytics, and scholarly writing
• Data Mastery: Gain skills in dataset handling, ethics, and AI-enhanced insights
• Innovation Engine: Drive academic and scientific breakthroughs using AI
• Domain Leadership: Prepare to lead research in advanced fields with ethical AI

Prerequisites

Basic knowledge of writing styles and tones, Interest in digital content creation tools and AI platforms, fundamental AI/ML concepts

Master the essentials of AI security with the RSAIF Practitioner’s Playbook, offering hands-on strategies and tools for implementing ethical AI governance and ensuring robust security practices.

Prerequisites

Familiarity with AI systems and basic security principles