Artificial Intelligence (AI) Training in Nicosia

This instructor-led, live training in Nicosia (online or onsite) is aimed at beginner-level to intermediate-level content creators, entrepreneurs, and technology enthusiasts who wish to harness the power of AI for innovative media production and business growth.

By the end of this training, participants will be able to:

• Create realistic voice clones for various applications.
• Manipulate video content with DeepFake technology for creative or educational purposes.
• Adopt ethical AI practices for content creation.
• Leverage AI tools for business and creative enhancement.
• Master AI media technologies for advanced applications.

This instructor-led live training in Nicosia (online or on-site) is designed for intermediate IT professionals aiming to leverage AWS tools and services to efficiently build, train, and deploy AI models.

By the end of this training, participants will be able to:

• Understand the AI/ML services provided by AWS.
• Set up and manage AI/ML environments on AWS.
• Gain hands-on experience in building, training, and deploying AI models using Amazon SageMaker.
• Learn to utilize various AWS AI services for specific use cases.

AI tools can significantly enhance the productivity and accuracy of legal professionals by streamlining tasks such as contract review, legal research, and drafting of legal documents.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level legal professionals who wish to apply AI tools to simplify, accelerate, and enhance their day-to-day legal work.

By the end of this training, participants will be able to:

• Use AI tools to review contracts for risky or missing clauses.
• Generate first drafts of legal documents using generative AI assistants.
• Automate legal research and summarize case law efficiently.
• Organize tasks, deadlines, and legal files with the support of AI-based tools.

Format of the Course

• Interactive lecture and discussion.
• Hands-on practice with real-world legal examples.
• Demonstration and guided use of AI tools in legal workflows.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Artificial intelligence is reshaping productivity and creativity across various sectors, particularly within communication, design, and audiovisual production.

This instructor-led live training, available both online and onsite, targets intermediate-level professionals eager to harness AI tools to streamline content creation, automate processes, and elevate their creative output in everyday tasks.

Upon completion of this course, participants will be equipped to:

• Utilise ChatGPT and other Large Language Models (LLMs) for writing, summarising, brainstorming, and automating tasks through effective prompt engineering.
• Leverage Google AI Ultra (Gemini) features within Docs, Sheets, and Gmail to boost productivity.
• Produce AI-generated images and videos using accessible tools suitable for professional environments.
• Integrate Microsoft Copilot into Office 365 to optimise document, spreadsheet, and email workflows.
• Understand and apply ethical AI usage guidelines, including key cybersecurity considerations.
• Examine real-world applications of AI in communication, design, and audiovisual production.
• Evaluate and experiment with free AI tools relevant to modern workplace demands.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation in a live laboratory environment.

Customisation Options

• To arrange a customised training session for this course, please get in touch.

Tools such as ChatGPT, Gemini, and Microsoft 365 Copilot are revolutionizing the way procurement professionals conduct research, draft documents, analyze supplier data, and manage contracts.

This instructor-led, live training session (available online or onsite) is designed for intermediate-level procurement professionals who want to leverage AI tools safely and effectively to enhance decision-making, automate routine tasks, and prepare for future challenges in procurement.

Upon completion of this training, participants will be able to:

• Distinguish between major AI tools and understand their specific relevance to procurement tasks.
• Craft effective prompts to improve AI accuracy and minimize the risk of misuse.
• Utilize AI to support sourcing activities, contract drafting, market analysis, and supplier evaluation.
• Responsibly interpret AI-generated outputs and identify potential biases or hallucinations.
• Recognize privacy, confidentiality, and ethical concerns associated with using AI in procurement.
• Apply AI tools to real-world procurement categories such as IT, IFM, Marketing, HR, and others.

Format of the Course

• Interactive lectures and discussions.
• Hands-on exercises featuring real-world procurement examples.
• Practice with live AI tools and prompt crafting.

Course Customization Options

• To request customized training for this course, please contact us to make arrangements.

This instructor-led, live training in Nicosia (online or onsite) is designed for media professionals with intermediate skills who aim to employ AI tools to generate material, verify information, streamline editing procedures, and enhance digital journalism workflows.

Upon completion of this training, participants will be capable of:

• Utilising AI tools to draft news stories, headlines, and summaries.
• Employing AI to verify facts, identify bias, and propose enhancements to tone and clarity.
• Automating repetitive newsroom duties such as transcription and tagging.
• Applying ethical and editorial guidelines within AI-assisted content creation.

This instructor-led, live training in Nicosia (online or on-site) is designed for intermediate to advanced cybersecurity professionals and technical leads seeking to learn how to implement AI models to bolster security processes, automate threat detection and response, and perform predictive analysis.

By the end of this training, participants will be able to:

• Comprehend the role of AI in modern cyber security.
• Develop machine learning models for anomaly and threat detection.
• Implement AI for automating incident response and security operations.
• Evaluate the ethical and operational considerations of AI in cybersecurity.

This instructor-led, live training in Nicosia (online or onsite) is aimed at managers and business leaders who wish to learn about the fundamentals of artificial intelligence and manage AI projects for their organization.

By the end of this training, participants will be able to understand AI at a technical level and strategize using their organization’s data and resources to successfully manage AI projects.

This live, instructor-led training in Nicosia (available online or onsite) is intended for managers and business leaders who wish to learn the basics of artificial intelligence and manage AI projects for their organization.

By the end of this training, participants will be able to understand AI at a technical level and strategize using their organization’s data and resources to successfully manage AI projects.

This instructor-led, live training in Nicosia (online or onsite) is aimed at beginner-level to intermediate-level business professionals and team leaders who wish to explore the value of AI through real-world cases and hands-on exercises.

By the end of this training, participants will be able to:

• Understand key AI concepts relevant to their industry.
• Identify opportunities where AI can enhance their operations or customer experience.
• Experiment with basic AI tools through guided practical activities.
• Assess how to start small with AI in their own workplace.

This instructor-led, live training in Nicosia (online or onsite) targets intermediate-level educators and edtech professionals who wish to leverage Generative AI to personalize education and enhance learning experiences.

By the end of this training, participants will be able to:

• Understand the principles and applications of Generative AI in the context of education.
• Create personalized learning materials and pathways using AI.
• Utilize AI tools for classroom management and content creation.
• Address ethical considerations in the use of AI for education.
• Develop strategies for integrating AI into educational curricula and administrative processes.

Mistral AI offers a robust suite of open-source and enterprise-grade AI models designed for language processing, multimodal applications, and agentic systems.

This instructor-led live training, available either online or at your location, is tailored for intermediate to advanced professionals aiming to build, deploy, and oversee AI agents utilizing Mistral’s Medium 3, Le Chat Enterprise, and Devstral models.

Upon completion of this training, participants will be capable of:

• Comprehending the architecture and functionalities of Mistral Medium 3, Le Chat Enterprise, and Devstral.
• Designing and implementing AI agents that leverage Mistral models for both enterprise and developer scenarios.
• Integrating coding systems, connectors, and enterprise data into agent workflows.
• Optimizing the performance, cost-efficiency, and compliance of Mistral-powered agents.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation within a live-lab environment.

Customization Options

• For a customized training version of this course, please get in touch with us to arrange it.

This course offers a practical, no-code introduction to Artificial Intelligence (AI) applications specifically designed for logistics and supply operations within the fuel transportation sector. Participants will discover how to utilize AI tools and automation techniques to enhance route planning, inventory forecasting, volumetric control, and logistics cost estimation using accessible, no-code platforms such as Excel, Power BI, and ChatGPT.

Delivered as instructor-led live training (available online or onsite), this program is tailored for beginner-level professionals seeking to apply AI in real-world logistics scenarios without requiring programming or data science expertise.

Upon completion of this training, participants will be able to:

• Grasp the fundamentals of AI and its significance in logistics and supply management.
• Utilize AI-assisted tools to analyze operational data derived from routes, storage tanks, and deliveries.
• Develop straightforward AI-based forecasting models for short-term fuel demand.
• Apply AI to optimize routes, scheduling, and resource allocation.
• Estimate and monitor logistics costs using data-driven insights.
• Construct performance dashboards and visual KPIs for supply chain operations.
• Design a practical 90-day plan for integrating AI into logistics and supply workflows.

Format of the Course

• Interactive lectures and discussions.
• Hands-on exercises and real operational case studies.
• Step-by-step guidance on using no-code AI tools and templates.

Course Customization Options

• To request customized training for this course, please contact us to arrange.

Mistral AI is an open AI platform that enables teams to build and integrate conversational assistants into enterprise and customer-facing workflows.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level product managers, full-stack developers, and integration engineers who wish to design, integrate, and productize conversational assistants using Mistral connectors and integrations.

By the end of this training, participants will be able to:

• Integrate Mistral conversational models with enterprise and SaaS connectors.
• Implement retrieval-augmented generation (RAG) for grounded responses.
• Design UX patterns for internal and external chat assistants.
• Deploy assistants into product workflows for real-world use cases.

Format of the Course

• Interactive lecture and discussion.
• Hands-on integration exercises.
• Live-lab development of conversational assistants.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Artificial Intelligence with Python involves building intelligent systems by leveraging Python’s comprehensive ecosystem of AI and machine learning libraries.

This instructor-led, live training (available online or onsite) is designed for intermediate-level Python programmers who want to design, implement, and deploy AI solutions using Python.

By the end of this training, participants will be able to:

• Implement AI algorithms using Python’s core AI libraries.
• Work with supervised, unsupervised, and reinforcement learning models.
• Integrate AI solutions into existing applications and workflows.
• Evaluate model performance and optimize for accuracy and efficiency.

Format of the Course

• Interactive lecture and discussion.
• Extensive exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

LangGraph serves as a framework designed to construct stateful, multi-agent LLM applications through composable graphs that maintain persistent state and offer precise control over execution processes.

This instructor-led live training, available either online or on-site, targets intermediate to advanced professionals aiming to design, implement, and manage LangGraph-based legal solutions equipped with robust compliance, traceability, and governance controls.

Upon completion of this training, participants will be capable of:

• Designing legal-specific LangGraph workflows that ensure auditability and compliance.
• Integrating legal ontologies and document standards into graph state and processing mechanisms.
• Implementing guardrails, human-in-the-loop approvals, and traceable decision pathways.
• Deploying, monitoring, and maintaining LangGraph services in production environments with effective observability and cost management.

Format of the Course

• Interactive lectures and discussions.
• Extensive exercises and practical application.
• Hands-on implementation within a live laboratory environment.

Course Customization Options

• To request a customized training session for this course, please contact us to make arrangements.

Mistral AI offers an open and enterprise-ready AI platform equipped with features designed to facilitate secure, compliant, and responsible AI deployment.

This instructor-led training, available both online and onsite, is tailored for intermediate-level compliance leads, security architects, and legal/operations stakeholders who aim to implement responsible AI practices using Mistral by leveraging privacy, data residency, and enterprise control mechanisms.

Upon completion of this training, participants will be able to:

• Implement privacy-preserving techniques within Mistral deployments.
• Apply data residency strategies to satisfy regulatory requirements.
• Establish enterprise-grade controls, including RBAC, SSO, and audit logs.
• Evaluate vendor and deployment options to ensure compliance alignment.

Format of the Course

• Interactive lecture and discussion.
• Compliance-focused case studies and exercises.
• Hands-on implementation of enterprise AI controls.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

LangGraph serves as a framework for constructing stateful, multi-actor LLM applications through composable graphs, enabling persistent state management and precise execution control.

This instructor-led training, available either online or onsite, targets intermediate to advanced professionals seeking to design, implement, and manage LangGraph-based financial solutions with appropriate governance, observability, and compliance standards.

Upon completion of this training, participants will be capable of:

• Designing finance-specific LangGraph workflows that align with regulatory and audit requirements.
• Integrating financial data standards and ontologies into graph states and tooling.
• Implementing reliability, safety measures, and human-in-the-loop controls for critical processes.
• Deploying, monitoring, and optimizing LangGraph systems for performance, cost efficiency, and service level agreements (SLAs).

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical application.
• Hands-on implementation within a live laboratory environment.

Customization Options

• To request a tailored version of this course, please contact us to make arrangements.

Mistral models are open-source AI technologies that now extend into multimodal workflows, supporting both language and vision tasks for enterprise and research applications.

This instructor-led, live training (online or onsite) is aimed at intermediate-level ML researchers, applied engineers, and product teams who wish to build multimodal applications with Mistral models, including OCR and document understanding pipelines.

By the end of this training, participants will be able to:

• Set up and configure Mistral models for multimodal tasks.
• Implement OCR workflows and integrate them with NLP pipelines.
• Design document understanding applications for enterprise use cases.
• Develop vision-text search and assistive UI functionalities.

Format of the Course

• Interactive lecture and discussion.
• Hands-on coding exercises.
• Live-lab implementation of multimodal pipelines.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Advanced Ollama Model Debugging and Evaluation is an intensive course designed to help participants diagnose, test, and measure the behavior of models within local or private Ollama deployments.

This instructor-led live training, available online or on-site, is tailored for advanced AI engineers, ML Ops professionals, and QA specialists who aim to ensure the reliability, accuracy, and operational readiness of Ollama-based models in production environments.

Upon completing this training, participants will be able to:

• Systematically debug Ollama-hosted models and reliably reproduce failure scenarios.
• Design and implement robust evaluation pipelines utilizing both quantitative and qualitative metrics.
• Implement observability solutions (logs, traces, metrics) to monitor model health and detect drift.
• Automate testing, validation, and regression checks integrated into CI/CD pipelines.

Course Format

• Interactive lectures and discussions.
• Hands-on labs and debugging exercises focused on Ollama deployments.
• Case studies, group troubleshooting sessions, and automation workshops.

Customization Options

• To request customized training for this course, please contact us to arrange.

AI for HR involves leveraging artificial intelligence tools and methodologies to enhance recruitment, onboarding, talent management, employee experience, and HR operational efficiency.

This instructor-led live training, available online or onsite, is designed for intermediate-level HR professionals and people analytics practitioners who want to learn how to evaluate, adopt, and responsibly apply AI tools to real-world HR scenarios.

Upon completion of this training, participants will be able to:

• Identify high-value HR use cases for AI and prioritize opportunities for pilot projects.
• Design prompts and workflows to utilize Large Language Models (LLMs) for common HR tasks, such as drafting job descriptions, summarizing candidate profiles, and creating communications.
• Assess ethical, legal, and privacy risks associated with AI in HR and implement effective mitigation strategies.
• Measure the impact of AI-enabled HR initiatives and define success metrics.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises based on real HR scenarios and datasets.
• Group workshops focused on designing responsible, AI-powered HR workflows.

Course Customization Options

• To request customized training for this course, please contact us to arrange the details.

Devstral and Mistral are open-source AI technologies designed for flexible deployment, fine-tuning, and scalable integration.

This instructor-led, live training (available online or onsite) targets intermediate to advanced ML engineers, platform teams, and research engineers who wish to self-host, fine-tune, and govern Mistral and Devstral models in production environments.

By the end of this training, participants will be able to:

• Set up and configure self-hosted environments for Mistral and Devstral models.
• Apply fine-tuning techniques to achieve domain-specific performance.
• Implement versioning, monitoring, and lifecycle governance.
• Ensure security, compliance, and responsible usage of open-source models.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises focused on self-hosting and fine-tuning.
• Live-lab implementation of governance and monitoring pipelines.

Course Customization Options

• To request customized training for this course, please contact us to arrange it.

LangGraph facilitates stateful, multi-actor workflows driven by LLMs, offering precise control over execution paths and state persistence. In the healthcare sector, these capabilities are essential for ensuring compliance, enhancing interoperability, and developing decision-support systems that integrate seamlessly with medical workflows.

This instructor-led live training, available both online and onsite, targets intermediate to advanced-level professionals aiming to design, implement, and manage LangGraph-based healthcare solutions while navigating regulatory, ethical, and operational challenges.

Upon completion of this training, participants will be able to:

• Design healthcare-specific LangGraph workflows with a focus on compliance and auditability.
• Integrate LangGraph applications with medical ontologies and standards such as FHIR, SNOMED CT, and ICD.
• Apply best practices for reliability, traceability, and explainability in sensitive environments.
• Deploy, monitor, and validate LangGraph applications in healthcare production settings.

Format of the Course

• Interactive lecture and discussion.
• Hands-on exercises with real-world case studies.
• Implementation practice in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

LangGraph serves as a framework designed for constructing stateful, multi-agent LLM applications through composable graphs, featuring persistent state and precise control over execution flows.

This instructor-led live training, available online or onsite, targets advanced AI platform engineers, AI-focused DevOps professionals, and ML architects who aim to optimize, debug, monitor, and manage production-grade LangGraph systems.

Upon completing this training, participants will be capable of:

• Designing and optimizing complex LangGraph topologies to enhance speed, reduce costs, and improve scalability.
• Ensuring reliability through retries, timeouts, idempotency, and checkpoint-based recovery mechanisms.
• Debugging and tracing graph executions, inspecting states, and systematically reproducing production issues.
• Instrumenting graphs with logs, metrics, and traces, deploying them to production, and monitoring SLAs and costs.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation in a live-lab environment.

Customization Options

• To request customized training for this course, please contact us to arrange.

This instructor-led, live training in Nicosia (online or onsite) is designed for intermediate-level game developers and AI enthusiasts who aim to effectively integrate AI agents into gaming applications.

Upon completion of this training, participants will be capable of:

• Comprehending the role of AI agents in contemporary gaming.
• Constructing decision-making systems utilizing decision trees and finite state machines.
• Deploying pathfinding algorithms, such as A*, for in-game navigation.
• Applying reinforcement learning techniques to generate adaptive AI behaviors.
• Enhancing AI performance for real-time gaming environments.

PostgreSQL is a robust, open-source relational database that gains significant value when augmented with Artificial Intelligence capabilities for enterprise data intelligence, predictive analytics, and automation.

This instructor-led live training (available online or on-site) targets intermediate to advanced data engineers, DBAs, and solution architects aiming to design, implement, and govern enterprise-grade AI systems built upon PostgreSQL.

Upon completing this program, participants will acquire the skills to:

• Embed AI models and vector search functionalities directly within PostgreSQL.
• Deploy AI-optimized architectures capable of handling high-volume enterprise workloads.
• Establish robust governance, auditing, and compliance frameworks for AI data pipelines.
• Securely utilize both open-source and proprietary AI frameworks within PostgreSQL environments.

Course Format

• Interactive lectures paired with enterprise case studies.
• Practical exercises and real-world laboratory sessions.
• Hands-on implementation within a live PostgreSQL environment.

Customization Options

• For inquiries regarding customized training for this course, please contact us to make arrangements.

This instructor-led, live training in Nicosia (online or onsite) is designed for intermediate to advanced participants aiming to optimize customer care operations via AI and automation, while equipping their teams with the latest tools and strategies.

By the end of this training, participants will be able to:

• Understand the latest trends in customer care and customer success.
• Leverage AI and automation to improve customer satisfaction and reduce workloads.
• Optimize sales workflows and customer engagement using advanced automation.
• Train teams remotely on modern tools and strategies for customer success and sales.
• Create scalable solutions to improve customer experiences and drive revenue growth.

Mistral is a family of high-performance large language models, specifically engineered for cost-effective, large-scale production deployment.

This instructor-led live training, available online or onsite, is designed for advanced infrastructure engineers, cloud architects, and MLOps leaders who aim to design, deploy, and optimize Mistral-based architectures to achieve maximum throughput while minimizing costs.

Upon completing this training, participants will be capable of:

• Implementing scalable deployment patterns for Mistral Medium 3.
• Applying batching, quantization, and efficient serving strategies.
• Optimizing inference costs without compromising performance.
• Designing production-ready serving topologies for enterprise workloads.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation within a live laboratory environment.

Customization Options

• To request customized training for this course, please contact us to make arrangements.

This instructor-led, live training in Nicosia (online or on-site) is designed for beginner to intermediate-level data scientists and software developers who want to learn about Milvus and its practical applications in various AI scenarios.

By the end of this training, participants will be able to:

• Understand the architecture and features of Milvus.
• Implement vector databases in different AI applications.
• Perform similarity searches with high accuracy and speed.
• Apply Milvus to real-world AI challenges.

This instructor-led, live training in Nicosia (online or onsite) is aimed at advanced-level professionals who wish to implement secure and efficient AI-driven workflows using Ollama.

By the end of this training, participants will be able to:

• Deploy and configure Ollama for private AI processing.
• Integrate AI models into secure enterprise workflows.
• Optimise AI performance while maintaining data privacy.
• Automate business processes with on-premise AI capabilities.
• Ensure compliance with enterprise security and governance policies.

This instructor-led, live training in Nicosia (online or onsite) targets beginner to intermediate developers and architects who wish to learn the fundamentals of intelligent driving and apply them to real-world scenarios.

By the end of this training, participants will be able to:

• Explain the basic concepts and principles of AI and how it can be applied to driving.
• Understand the architecture and components of intelligent driving systems.
• Create and visualize a composite driving model from different design disciplines.
• Communicate and annotate issues and feedback within the model.
• Perform clash detection and resolution between driving scenarios.
• Simulate and control driving schedules and costs.

LangGraph is a graph-based orchestration framework designed to facilitate conditional, multi-step workflows involving LLMs and tools, making it ideal for automating and personalizing content pipelines.

This instructor-led live training (available online or onsite) is tailored for intermediate-level marketers, content strategists, and automation developers aiming to implement dynamic, branching email campaigns and content generation pipelines using LangGraph.

Upon completion of this training, participants will be capable of:

• Designing graph-structured content and email workflows that incorporate conditional logic.
• Integrating LLMs, APIs, and data sources to enable automated personalization.
• Managing state, memory, and context across multi-step campaigns.
• Evaluating, monitoring, and optimizing workflow performance and delivery outcomes.

Course Format

• Interactive lectures and group discussions.
• Hands-on labs focused on implementing email workflows and content pipelines.
• Scenario-based exercises covering personalization, segmentation, and branching logic.

Course Customization Options

• For requests regarding customized training for this course, please contact us to arrange details.

Le Chat Enterprise offers a private ChatOps solution that delivers secure, customizable, and governed conversational AI capabilities for organizations, including support for RBAC, SSO, connectors, and enterprise app integrations.

This instructor-led, live training (online or onsite) targets intermediate-level product managers, IT leads, solution engineers, and security/compliance teams who want to deploy, configure, and govern Le Chat Enterprise in enterprise environments.

By the end of this training, participants will be able to:

• Set up and configure Le Chat Enterprise for secure deployments.
• Enable RBAC, SSO, and compliance-driven controls.
• Integrate Le Chat with enterprise applications and data stores.
• Design and implement governance and admin playbooks for ChatOps.

Format of the Course

• Interactive lecture and discussion.
• Many exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Nicosia (online or onsite) is designed for beginner to intermediate data scientists and software developers who want to learn how to leverage Pinecone across various AI use cases, from semantic search to personalization.

Upon completion of this training, participants will be able to:

• Grasp the architecture and key features of Pinecone.
• Deploy vector databases within diverse AI applications.
• Execute similarity searches with both high accuracy and speed.
• Apply Pinecone to solve real-world AI challenges.

This instructor-led, live training in Nicosia (online or onsite) is aimed at professionals who wish to learn and understand the concept of AI and how to use it effectively and responsibly.

By the end of this training, participants will be able to:

• Learn the concept of Artificial Intelligence (AI).
• Understand the limits and dangers of AI and use it responsibly.
• Know how to effectively use AI in real-world scenarios.

Devstral is an open-source framework designed for building and running coding agents that can interact with codebases, developer tools, and APIs to enhance engineering productivity.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level ML engineers, developer-tooling teams, and SREs who wish to design, implement, and optimize coding agents using Devstral.

By the end of this training, participants will be able to:

• Set up and configure Devstral for coding agent development.
• Design agentic workflows for codebase exploration and modification.
• Integrate coding agents with developer tools and APIs.
• Implement best practices for secure and efficient agent deployment.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

LangGraph serves as a framework designed for constructing graph-based LLM workflows that enable branching, tool utilization, memory management, and controlled execution.

This instructor-led, live training session, available both online and onsite, targets intermediate-level engineers and product teams aiming to merge LangGraph’s graph logic with LLM agent loops to create dynamic, context-aware applications such as customer support assistants, decision trees, and information retrieval systems.

Upon completion of this training, participants will be capable of:

• Designing graph-based workflows that effectively coordinate LLM agents, tools, and memory.
• Implementing conditional routing, retries, and fallback mechanisms to ensure robust execution.
• Integrating retrieval processes, APIs, and structured outputs into agent loops.
• Evaluating, monitoring, and securing agent behavior to enhance reliability and safety.

Course Format

• Interactive lectures accompanied by facilitated discussions.
• Guided laboratory exercises and code walkthroughs within a sandbox environment.
• Scenario-based design exercises and peer reviews.

Customization Options for the Course

• To request customized training for this course, please contact us to arrange.

This instructor-led, live training in Nicosia (online or onsite) is aimed at intermediate-level to advanced-level data scientists and machine learning engineers who wish to master the use of vector databases for scalable, high-performance AI applications.

By the end of this training, participants will be able to:

• Understand the principles of vector databases.
• Learn techniques for creating and managing vector embeddings.
• Explore indexing strategies for high-dimensional data.
• Develop skills for performing efficient similarity searches.
• Apply vector database knowledge to machine learning projects.

This instructor-led, live training in Nicosia (online or onsite) is aimed at digital marketers, content creators, and developers who wish to understand the impact of AI on search engines, explore the capabilities of Bing AI, and learn about chatbot technologies and their applications.

By the end of this training, participants will be able to:

• Understand the principles and benefits of Bing AI.
• Identify the AI-powered features within Bing and their applications.
• Utilize Bing AI to enhance search results and user experiences.
• Evaluate the potential of AI in search engine optimization (SEO) and content creation.
• Explore chatbot technologies and their applications, including Bing AI Chatbot.

This instructor-led, live training in Greece (online or onsite) is designed for beginner to intermediate-level researchers and laboratory professionals who wish to process and analyze images of histological tissues, blood cells, algae, and other biological samples.

Upon completion of this training, participants will be capable of:

• Navigating the Fiji interface and applying ImageJ’s core functionalities.
• Preprocessing and enhancing scientific images to improve analysis quality.
• Performing quantitative image analysis, such as cell counting and area measurement.
• Automating repetitive tasks through the use of macros and plugins.
• Tailoring workflows to meet specific image analysis requirements in biological research.

LangGraph serves as a framework designed for constructing graph-structured Large Language Model (LLM) applications that facilitate planning, branching, tool integration, memory management, and controlled execution.

This instructor-led live training, available either online or onsite, is tailored for beginner-level developers, prompt engineers, and data practitioners eager to design and implement reliable, multi-step LLM workflows using LangGraph.

Upon completion of this training, participants will be able to:

• Articulate core LangGraph concepts—such as nodes, edges, and state—and determine appropriate use cases.
• Develop prompt chains that support branching, tool invocation, and memory retention.
• Incorporate retrieval mechanisms and external APIs into graph-based workflows.
• Test, debug, and evaluate LangGraph applications to ensure reliability and safety.

Course Format

• Interactive lectures paired with facilitated discussions.
• Guided laboratory sessions and code walkthroughs conducted within a sandbox environment.
• Scenario-based exercises focused on design, testing, and evaluation.

Customization Options

• To request tailored training for this course, please contact us to make arrangements.

Mistral Medium 3 is a high-performance, multimodal large language model engineered for robust, production-ready deployment within enterprise settings.

This instructor-led training session, available either online or onsite, targets intermediate to advanced AI/ML engineers, platform architects, and MLOps specialists looking to deploy, optimize, and secure Mistral Medium 3 for business applications.

Upon completion of this training, participants will be equipped to:

• Deploy Mistral Medium 3 via API or by self-hosting.
• Enhance inference performance while managing costs.
• Develop multimodal applications using Mistral Medium 3.
• Apply security and compliance standards suitable for enterprise environments.

Course Format

• Interactive lectures and discussions.
• Extensive practical exercises.
• Hands-on implementation within a live lab environment.

Customization Options

• For customized training solutions, please reach out to us to arrange details.

This five-day course offers a comprehensive introduction to Data Science and Artificial Intelligence (AI).

The training is delivered through practical examples and exercises utilizing Python.

What will the cities of tomorrow resemble? In what ways can Artificial Intelligence (AI) enhance urban planning processes? How might AI contribute to making urban environments more efficient, habitable, secure, and eco-friendly?

Through this instructor-led, live training (available on-site or remotely), we explore the diverse technologies that comprise AI, alongside the necessary skill sets and mental frameworks required to apply them in urban planning. The session also addresses tools and methodologies for collecting and organizing relevant data for AI applications, including data mining techniques.

Target Audience

• Urban planners
• Architects
• Developers
• Transportation officials

Course Format

• A blend of lectures, discussions, and interactive exercises.

Note

• For customized training requests, please contact us to arrange your session.

This instructor-led, live training (online or onsite) targets team leaders and middle managers who aim to adopt AI safely and effectively by addressing the human factors that drive success: trust, accountability, decision habits, and psychological safety.

By the end of this training, participants will be able to:

• Define when to use AI and when to stop (stop rules).
• Verify AI outputs using practical standards (red flags, second source).
• Establish accountability and escalation triggers.
• Build team agreements and a 30-day adoption plan.

This instructor-led, live training in Nicosia (online or onsite) is aimed at intermediate-level to advanced-level professionals, business leaders, and policymakers who wish to explore AI’s role in business, society, and future developments.

By the end of this training, participants will be able to:

• Understand how AI influences business, the economy, and workforce dynamics.
• Recognize ethical, legal, and societal challenges of AI adoption.
• Analyze the role of AI in privacy, governance, and inclusion.
• Evaluate strategies to address AI bias and ethical concerns.
• Discuss AI’s future potential and emerging challenges.

Course Overview

This practical training programme is tailored for data engineering professionals looking to develop concrete competencies in artificial intelligence, Python, and large language models. Emphasizing real-world application, the curriculum covers model utilization, prompt engineering, and the creation of AI-driven solutions. Participants will engage in a series of progressive exercises, advancing from foundational concepts to the construction of deployable AI workflows.

Training Format

• Face-to-face classroom instruction

• Instructor-led sessions featuring guided practice

• Interactive discussions and analysis of real-world case studies

• Daily practical exercises

Course Objectives

• Gain a solid understanding of core AI and machine learning principles applicable to contemporary solutions

• Enhance Python proficiency for AI development and data processing workflows

• Comprehend the mechanics of large language models and apply them effectively

• Craft and refine prompts to ensure consistent and reliable outputs

• Develop comprehensive AI solutions leveraging APIs and frameworks

• Seamlessly integrate AI capabilities into data engineering pipelines

This instructor-led, live training in Nicosia (online or onsite) is aimed at system administrators and DevOps engineers who wish to deploy, configure, and manage EXO clusters for private LLM inference across multiple Apple Silicon or Linux nodes.

This instructor-led, live training in Nicosia (online or onsite) is aimed at DevOps engineers and infrastructure architects who wish to automate the provisioning, monitoring, and lifecycle management of private AI clusters built on EXO.

This course adopts a hands-on methodology for teaching OptaPlanner, equipping participants with the essential tools to execute its fundamental operations effectively.

This instructor-led training is tailored for cross-functional management teams aiming to grasp and practically apply Artificial Intelligence in everyday business operations, decision-making, planning, analysis, and process optimization.