Artificial Intelligence (AI) Training in Varna

This instructor-led live training in Varna (online or onsite) is designed for beginner to intermediate content creators, entrepreneurs, and tech 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 Varna (online or onsite) is designed for intermediate-level IT professionals who want to learn how 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 boost the productivity and precision of legal professionals by simplifying tasks such as contract review, legal research, and drafting legal documents.

This instructor-led live training (available online or onsite) targets beginner to intermediate-level legal professionals who wish to utilize AI tools to simplify, speed up, and enhance their daily legal work.

Upon completing 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.

Course Format

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

Customization Options

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

AI tools are revolutionizing productivity and creativity across various industries, particularly in communication, design, and audiovisual production.

This instructor-led live training (available online or onsite) is designed for intermediate-level professionals who want to harness AI tools to streamline content creation, automate workflows, and enhance their creative output in daily tasks.

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

• Use ChatGPT and other LLMs to write, summarize, ideate, and automate tasks using effective prompt techniques.
• Apply Google AI Ultra (Gemini) features within Docs, Sheets, and Gmail to enhance productivity.
• Create AI-generated images and videos using accessible tools suitable for professional use.
• Incorporate Microsoft Copilot within Office 365 for smarter document, spreadsheet, and email workflows.
• Understand and apply ethical AI usage practices, including cybersecurity considerations.
• Explore real-world use cases in communication, design, and audiovisual production using AI tools.
• Evaluate and experiment with free AI tools relevant to modern workplaces.

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.

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

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

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

• Understand and distinguish between major AI tools and their relevance to procurement tasks.
• Write effective prompts to improve AI accuracy and reduce the risk of misuse.
• Use AI to support sourcing, contract drafting, market analysis, and supplier evaluation.
• Interpret AI-generated outputs responsibly and identify bias or hallucinations.
• Recognize privacy, confidentiality, and ethical concerns when using AI in procurement.
• Apply AI tools to real procurement categories like IT, IFM, Marketing, HR, and more.

Format of the Course

• Interactive lecture and discussion.
• Hands-on exercises with real-world procurement examples.
• Use of live AI tools and prompt crafting practice.

Course Customization Options

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

This instructor-led, live training session in Varna (available online or onsite) targets intermediate-level media professionals seeking to leverage AI tools for content generation, fact verification, editing automation, and workflow optimization in digital journalism.

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

• Leverage AI tools for drafting news articles, headlines, and summaries.
• Use AI to fact-check, detect bias, and suggest improvements in tone and clarity.
• Automate repetitive newsroom tasks like transcription and tagging.
• Apply ethical and editorial standards in AI-assisted content production.

This instructor-led, live training in Varna (online or onsite) is designed for intermediate to advanced cybersecurity professionals and technical leads who want to learn how to implement AI models to strengthen security processes, automate threat detection and response, and conduct predictive analysis.

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

• Grasp the role of AI in modern cyber security.
• Create machine learning models for anomaly and threat detection.
• Apply AI to automate incident response and security operations.
• Assess the ethical and operational implications of AI in cybersecurity.

This instructor-led, live training in Varna (online or onsite) is designed for managers and business leaders interested in understanding the core principles of artificial intelligence and effectively managing AI initiatives within their organizations.

Upon completion of this training, participants will possess a technical understanding of AI and the ability to formulate strategies leveraging their organization’s data and resources to successfully oversee AI projects.

This instructor-led, live training in Varna (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 instructor-led, live training in Varna (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 Varna (online or onsite) is designed for intermediate-level educators and EdTech professionals seeking to utilize Generative AI to personalize education and improve learning outcomes.

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, multimodal, and agentic applications.

This instructor-led training, available online or onsite, is tailored for intermediate to advanced professionals seeking to construct, deploy, and manage AI agents using Mistral’s Medium 3, Le Chat Enterprise, and Devstral models.

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

• Grasp the architecture and functionalities of Mistral Medium 3, Le Chat Enterprise, and Devstral.
• Design and implement AI agents tailored for enterprise and developer scenarios using Mistral models.
• Seamlessly integrate coding systems, connectors, and enterprise data into agent workflows.
• Optimize 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 customized training requests, please contact us to arrange a session.

This course offers a practical, no-code introduction to Artificial Intelligence (AI) solutions specifically designed for logistics and supply chain operations within the fuel transportation industry. Participants will discover how to utilize AI tools and automation methods to enhance route optimization, inventory prediction, volume management, and logistics cost analysis through user-friendly, no-code platforms such as Excel, Power BI, and ChatGPT.

This instructor-led, live training session (available online or on-site) is tailored for professionals at the beginner level who want to implement AI in real-world logistics contexts without requiring programming or data science expertise.

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

• Grasping the core principles of AI and its significance in logistics and supply chain management.
• Employing AI-enabled tools to examine operational data from routes, storage tanks, and delivery schedules.
• Constructing basic AI-driven forecasting models for short-term fuel demand.
• Implementing AI to optimize routes, schedules, and resource distribution.
• Calculating and monitoring logistics costs using data-backed insights.
• Developing performance dashboards and visual KPIs for supply chain activities.
• Formulating a practical 90-day strategy for integrating AI into logistics and supply workflows.

Course Format

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

Customization Options

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

Mistral AI is an open AI platform that empowers teams to construct and embed conversational assistants within enterprise and customer-facing workflows.

This instructor-led live training, available both online and onsite, is designed for beginner to intermediate-level product managers, full-stack developers, and integration engineers aiming to design, integrate, and productize conversational assistants leveraging Mistral connectors and integrations.

Upon completing this training, participants will be equipped to:

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

Course Format

• Interactive lectures and discussions.
• Hands-on integration exercises.
• Live-lab development of conversational assistants.

Course Customization Options

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

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

This instructor-led live training, available online or onsite, targets intermediate-level Python programmers looking to design, implement, and deploy AI solutions using Python.

Upon completing this training, participants will be capable of:

• Implementing AI algorithms using Python's core AI libraries.
• Working with supervised, unsupervised, and reinforcement learning models.
• Integrating AI solutions into existing applications and workflows.
• Evaluating model performance and optimizing 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 build stateful, multi-agent LLM applications through composable graphs that maintain persistent state and offer precise control over execution.

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

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

• Create legal-specific LangGraph workflows that maintain auditability and compliance.
• Incorporate legal ontologies and document standards into graph states and processing.
• Implement guardrails, human-in-the-loop approvals, and traceable decision pathways.
• Deploy, monitor, and maintain LangGraph services in production environments with effective observability and cost management.

Course Format

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

Customization Options

• For tailored training on this subject, please contact us to arrange your specific requirements.

Mistral AI serves as an open and enterprise-ready AI platform, offering capabilities designed for the secure, compliant, and responsible deployment of artificial intelligence.

This instructor-led training, available either online or onsite, is tailored for compliance leads, security architects, and legal or operations stakeholders at an intermediate proficiency level. The course focuses on implementing responsible AI practices using Mistral by leveraging specific mechanisms for privacy, data residency, and enterprise controls.

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

• Implementing privacy-preserving techniques within Mistral deployments.
• Applying data residency strategies to satisfy regulatory requirements.
• Establishing enterprise-grade controls, including RBAC, SSO, and audit logging.
• Evaluating vendor and deployment options to ensure alignment with compliance standards.

Format of the Course

• Interactive lectures and discussions.
• Case studies and exercises focused on compliance.
• Hands-on implementation of enterprise AI controls.

Course Customization Options

• For organizations requesting a customized version of this training, please contact us to make arrangements.

LangGraph serves as a framework for constructing stateful, multi-agent LLM applications that operate as composable graphs with persistent state and precise control over execution.

This instructor-led, live training (available online or onsite) targets intermediate to advanced professionals aiming to design, implement, and manage LangGraph-based finance solutions that adhere to proper 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, and human-in-the-loop controls for critical processes.
• Deploying, monitoring, and optimizing LangGraph systems to ensure performance, cost efficiency, and SLA compliance.

Course Format

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

Course Customization Options

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

Mistral models are open-source artificial intelligence technologies that now support multimodal workflows, handling both language and vision tasks for enterprise and research purposes.

This instructor-led, live training (available online or onsite) is designed for intermediate-level machine learning researchers, applied engineers, and product teams looking to build multimodal applications with Mistral models, including OCR and document understanding pipelines.

Upon completing 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 tailored to enterprise use cases.
• Develop vision-text search and assistive UI functionalities.

Course Format

• Interactive lectures and discussions.
• Hands-on coding exercises.
• Live laboratory implementation of multimodal pipelines.

Customization Options

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

Advanced Ollama Model Debugging & Evaluation is a comprehensive course dedicated to diagnosing, testing, and assessing model behavior in local or private Ollama deployments.

Delivered as instructor-led live training (available online or onsite), this program targets experienced AI engineers, MLOps professionals, and QA specialists who aim to ensure the reliability, accuracy, and operational readiness of Ollama-based models in production environments.

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

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

Course Format

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

Course Customization Options

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

Artificial Intelligence in Human Resources involves leveraging AI tools and techniques to enhance recruitment, onboarding, talent management, employee experience, and overall HR operations.

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

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

• Identify high-value HR use cases for AI and prioritize pilot opportunities.
• Design prompts and workflows to utilize Large Language Models (LLMs) for common HR tasks (e.g., job descriptions, summaries, communications).
• Assess ethical, legal, and privacy risks and apply mitigation strategies when using AI in HR processes.
• Measure impact and define success metrics for AI-enabled HR initiatives.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises with real HR scenarios and datasets.
• Group workshops to design responsible AI-powered HR workflows.

Course Customization Options

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

Devstral and Mistral are open-source AI technologies engineered 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 seeking to self-host, fine-tune, and govern Mistral and Devstral models within production environments.

Upon completion 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 enhance domain-specific performance.
• Implement versioning, monitoring, and lifecycle governance mechanisms.
• 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.

Customization Options

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

LangGraph facilitates stateful, multi-actor workflows driven by Large Language Models (LLMs), offering precise control over execution paths and state persistence. In the healthcare sector, these capabilities are essential for ensuring compliance, enabling interoperability, and developing decision-support systems that seamlessly align with clinical workflows.

This instructor-led live training (available online or onsite) targets intermediate to advanced 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 compliance and auditability as key considerations.
• Integrate LangGraph applications with medical ontologies and standards, including FHIR, SNOMED CT, and ICD.
• Apply best practices for reliability, traceability, and explainability in sensitive environments.
• Deploy, monitor, and validate LangGraph applications within healthcare production settings.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises featuring real-world case studies.
• Implementation practice in a live-lab environment.

Course Customization Options

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

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

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

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

• Design and optimize complex LangGraph topologies to enhance speed, reduce costs, and improve scalability.
• Ensure reliability through retries, timeouts, idempotency, and checkpoint-based recovery mechanisms.
• Debug and trace graph executions, inspect state changes, and systematically reproduce production issues.
• Instrument graphs with logs, metrics, and traces; deploy them to production; and monitor SLAs and costs.

Format of the Course

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

Course Customization Options

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

This instructor-led, live training in Varna (online or onsite) is aimed at intermediate-level game developers and AI enthusiasts who wish to integrate AI agents into gaming applications effectively.

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

• Understand the role of AI agents in modern gaming.
• Develop decision-making systems using decision trees and finite state machines.
• Implement pathfinding algorithms such as A* for in-game navigation.
• Apply reinforcement learning techniques to create adaptive AI behaviors.
• Optimize AI performance for real-time gaming environments.

PostgreSQL is a robust, open-source relational database that can be augmented with AI capabilities to enable enterprise data intelligence, predictive analytics, and automation.

This instructor-led live training (available online or onsite) targets intermediate to advanced data engineers, DBAs, and solution architects who aim to design, implement, and govern enterprise-grade AI systems leveraging PostgreSQL.

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

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

Format of the Course

• Interactive lectures combined with enterprise case discussions.
• Practical exercises and real-world lab sessions.
• Hands-on implementation within a live PostgreSQL environment.

Course Customization Options

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

This instructor-led, live training in Varna (online or onsite) is designed for intermediate to advanced participants who aim to enhance customer support operations through AI and automation, while providing their teams with up-to-date tools and strategies.

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

• Stay informed about the latest trends in customer support and customer success.
• Utilize AI and automation to enhance customer satisfaction and reduce manual effort.
• Enhance sales workflows and customer engagement using advanced automation.
• Train remote teams on modern tools and strategies for customer success and sales.
• Develop scalable solutions to improve customer experiences and drive revenue growth.

Mistral is a family of high-performance large language models specifically optimized for cost-efficient deployment at scale in production environments.

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

Upon completing this training, participants will be able to:

• Implement scalable deployment patterns for Mistral Medium 3.
• Apply batching, quantization, and efficient serving strategies.
• Optimize inference costs without compromising performance.
• Design enterprise-grade, production-ready serving topologies.

Course Format

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

Course Customization Options

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

This instructor-led, live training in Varna (online or onsite) targets beginner to intermediate data scientists and software developers interested in learning Milvus and its practical applications across different 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 session in Varna (online or on-site) is designed for advanced professionals seeking 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.
• Optimize 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 Varna (online or onsite) is designed for beginner to intermediate developers and architects who wish to master the basics of intelligent driving and apply these principles to real-world scenarios.

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

• Articulate the fundamental concepts and principles of AI and their application to driving.
• Comprehend the architecture and constituent components of intelligent driving systems.
• Construct and visualize a composite driving model integrating various design disciplines.
• Communicate and annotate issues and feedback within the model.
• Execute clash detection and resolution across different driving scenarios.
• Simulate and manage driving schedules and associated costs.

LangGraph is a graph-based orchestration framework designed to facilitate conditional, multi-step workflows involving Large Language Models (LLMs) and various tools. It is particularly well-suited for automating and personalizing content pipelines.

This instructor-led live training, available both online and onsite, targets intermediate-level marketers, content strategists, and automation developers looking to build dynamic, branching email campaigns and content generation pipelines using LangGraph.

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

• Create graph-structured workflows for emails and content that incorporate conditional logic.
• Connect LLMs, APIs, and data sources to enable automated personalization.
• Manage state, memory, and context throughout multi-step campaigns.
• Assess, monitor, and optimize the performance and delivery results of workflows.

Course Format

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

Course Customization Options

• To arrange a customized version of this training, please contact us.

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

This instructor-led, live training (online or onsite) is aimed at intermediate-level product managers, IT leads, solution engineers, and security/compliance teams who wish 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.
• 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.

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

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

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

This instructor-led, live training in Varna (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.

This instructor-led, live training in Varna (online or onsite) is aimed at intermediate-level professionals who wish to deploy, optimize, and integrate LLMs using Ollama.

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

• Set up and deploy LLMs using Ollama.
• Optimize AI models for performance and efficiency.
• Leverage GPU acceleration for improved inference speeds.
• Integrate Ollama into workflows and applications.
• Monitor and maintain AI model performance over time.

LangGraph serves as a framework for assembling graph-structured LLM workflows that facilitate branching, tool utilization, memory management, and controlled execution.

This instructor-led, live training (available online or onsite) targets intermediate 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 agents, decision trees, and information retrieval systems.

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

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

Course Format

• Interactive lectures and guided discussions.
• Guided labs and code walkthroughs within a sandbox environment.
• Scenario-based design exercises and peer reviews.

Customization Options

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

This live, instructor-led training in Varna (online or onsite) targets intermediate to advanced data scientists and machine learning engineers who wish to master the use of vector databases for building 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 Varna (online or onsite) is designed for 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 core principles and benefits of Bing AI.
• Identify AI-powered features within Bing and recognize their applications.
• Utilize Bing AI to enhance search results and improve user experiences.
• Evaluate the potential of AI in search engine optimization (SEO) and content creation.
• Explore chatbot technologies and their applications, including the Bing AI Chatbot.

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

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

• Navigate the Fiji interface and utilize ImageJ’s core functions.
• Preprocess and enhance scientific images for better analysis.
• Analyze images quantitatively, including cell counting and area measurement.
• Automate repetitive tasks using macros and plugins.
• Customize workflows for specific image analysis needs in biological research.

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

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

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

• Explain core LangGraph concepts, including nodes, edges, and state, and understand when to apply them.
• Create prompt chains that support branching, tool invocation, and memory retention.
• Integrate retrieval mechanisms and external APIs into graph-based workflows.
• Test, debug, and evaluate LangGraph applications to ensure reliability and safety.

Course Format

• Interactive lectures accompanied by facilitated discussions.
• Guided labs and code walkthroughs conducted in a sandbox environment.
• Scenario-based exercises focusing on design, testing, and evaluation.

Course Customization Options

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

Mistral Medium 3 is a powerful, multimodal large language model built for production-ready deployment within enterprise settings.

This instructor-led live training, available online or on-site, is designed for intermediate to advanced AI/ML engineers, platform architects, and MLOps teams looking to deploy, optimize, and secure Mistral Medium 3 for business applications.

Upon completion, participants will be able to:

• Deploy Mistral Medium 3 via API or self-hosted solutions.
• Enhance inference performance while managing costs.
• Develop multimodal applications using Mistral Medium 3.
• Apply industry best practices for security and compliance in enterprise environments.

Course Format

• Engaging lectures and discussions.
• Extensive exercises and practical work.
• Live-lab implementation experience.

Customization Options

• For tailored training on this course, please get in touch with us.

This course explores practical methodologies for Data Science and Artificial Intelligence utilizing Python. It empowers professionals with the essential skills to analyze data, develop machine learning models, and implement AI-driven solutions within business environments. The curriculum covers CRISP-DM workflows, statistical analysis, supervised and unsupervised learning, deep learning with TensorFlow, natural language processing, big data processing with Spark, and data-driven storytelling. It is ideally suited for beginners aiming to obtain a Python data science certification and receive career-ready analytics training.

What will the urban landscape of tomorrow look like? How can Artificial Intelligence (AI) be leveraged to enhance urban planning? This course explores how AI contributes to making cities more efficient, livable, safer, and environmentally sustainable.

In this instructor-led live training, available either onsite or remotely, we examine the various technologies that constitute AI, along with the essential skill sets and mindset required to apply them effectively in urban planning. The curriculum also covers 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

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

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

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

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

This instructor-led, live training in Varna (online or onsite) is designed for intermediate to advanced professionals, business leaders, and policymakers who want to explore the role of AI 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 the 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 program is tailored for data engineering professionals aiming to develop concrete expertise in artificial intelligence, Python, and large language models. The curriculum emphasizes real-world implementation, addressing model application, prompt engineering, and the creation of AI-driven solutions. Participants will engage in progressive exercises that transition from foundational concepts to the construction of deployable AI workflows.

Training Format

• In-person classroom instruction

• Instructor-led sessions featuring guided practice

• Interactive discussions alongside real-world case studies

• Daily hands-on exercises

Course Objectives

• Grasp core AI and machine learning concepts pertinent to contemporary applications

• Enhance Python proficiency for AI development and data workflows

• Comprehend the mechanics of large language models and master their effective utilization

• Design and optimize prompts to ensure reliable outputs

• Construct end-to-end AI solutions utilizing APIs and frameworks

• Integrate AI capabilities into data engineering pipelines

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

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