Agentic AI for Enterprise Applications Training Course

This instructor-led, live training in Czech Republic (online or onsite) is aimed at advanced-level professionals who wish to leverage Agentic AI for decision-making in complex business and technical scenarios.

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

• Understand the principles of autonomous decision-making in AI.
• Design and implement AI agents that operate with minimal human intervention.
• Integrate Agentic AI into automation workflows and business systems.
• Optimize AI-driven decision processes for efficiency and scalability.
• Ensure compliance, security, and ethical considerations in AI autonomy.

This instructor-led, live training in Czech Republic (online or onsite) targets beginner-level professionals eager to grasp the fundamental principles of Agentic AI, its operational capabilities, and its transformative potential across various industries.

Upon completing this training, participants will be equipped to:

• Comprehend the foundational principles of Agentic AI.
• Distinguish between traditional AI models and autonomous AI agents.
• Investigate real-world applications of Agentic AI across diverse sectors.
• Evaluate the advantages and obstacles associated with deploying autonomous AI systems.
• Examine the ethical and security implications of Agentic AI.

Agentic AI for Business Automation is a practical, hands-on course aimed at equipping participants with the skills to design, integrate, and scale AI-driven agents within real-world business environments. The curriculum emphasizes identifying automation opportunities, connecting essential tools, and developing functional use cases across customer service, supply chain management, and marketing operations.

This instructor-led, live training (available online or onsite) is tailored for intermediate-level professionals looking to implement AI-powered automation using no-code, low-code, and Python-based methodologies.

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

• Recognizing key areas where agentic AI can enhance process efficiency and drive innovation.
• Mapping workflows that are ideal for AI agent integration.
• Executing automation through APIs and orchestration tools.
• Incorporating AI models into tangible business scenarios with quantifiable outcomes.
• Establishing governance and monitoring frameworks for AI-driven operations.

Course Format

• Interactive lectures combined with practical demonstrations.
• Hands-on exercises and guided projects.
• Live implementation within a sandbox automation environment.

Course Customization Options

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

Agentic AI represents an emerging category of systems designed for autonomous decision-making, task execution, and workflow orchestration.

This instructor-led live training, available both online and onsite, is designed for intermediate-level professionals seeking to understand how agentic AI will transform organizational workflows, talent strategies, and job design.

Upon completing the course, participants will be able to:

• Evaluate the capabilities and limitations of agentic AI within enterprise environments.
• Identify opportunities for task automation, augmentation, and redesign.
• Assess workforce implications and develop responsible adoption strategies.
• Plan governance frameworks for safe, transparent, and compliant AI deployment.

Format of the Course

• Interactive lecture and discussion.
• Practical exercises and scenario-based analysis.
• Hands-on exploration of agentic workflows in a guided environment.

Course Customization Options

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

Agentic AI represents a paradigm where artificial intelligence systems autonomously plan, reason, and utilize tools to achieve specific objectives within established boundaries.

This instructor-led training, available online or onsite, is designed for intermediate-level healthcare and data teams looking to design, evaluate, and govern agentic AI solutions for both clinical and operational scenarios.

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

• Articulating the core concepts and constraints of agentic AI within healthcare environments.
• Constructing secure agent workflows that incorporate planning, memory mechanisms, and tool integration.
• Developing retrieval-augmented agents tailored to clinical documents and knowledge bases.
• Implementing evaluation, monitoring, and governance frameworks for agent behavior using guardrails and human-in-the-loop controls.

Course Format

• Interactive lectures combined with facilitated group discussions.
• Guided laboratory exercises and code walkthroughs within a sandbox environment.
• Scenario-based practical exercises focusing on safety, evaluation, and governance.

Customization Options

• To request tailored training for this course, please reach out to us to arrange.

WrenAI serves as an AI-driven analytics platform that facilitates data connectivity, insight modeling, and dashboard generation. Within enterprise settings, strong governance and security measures are essential to ensure adoption that is both secure and compliant.

This instructor-led, live training session (available online or onsite) targets advanced-level enterprise professionals seeking to deploy governance, compliance, and security frameworks for WrenAI on a large scale.

Upon completing this training, participants will be equipped to:

• Design and implement permissioning structures within WrenAI.
• Apply practices for auditability and monitoring to ensure compliance.
• Establish secure environments featuring enterprise-grade controls.
• Safely deploy WrenAI across large organizational networks.

Format of the Course

• Interactive lectures and discussions.
• Hands-on labs focusing on governance and security configurations.
• Practical exercises that simulate enterprise rollout scenarios.

Course Customization Options

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

WrenAI empowers organizations to shift away from static dashboards toward conversational analytics and embedded generative BI. This transformation demands thoughtful adoption planning, asset migration, and robust change management strategies.

This instructor-led live training, available online or onsite, is designed for intermediate-level BI and data platform professionals looking to modernize their legacy BI systems using WrenAI.

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

• Assessing legacy BI environments and pinpointing modernization opportunities.
• Planning and implementing the migration from static dashboards to WrenAI.
• Implementing conversational analytics and embedded GenBI functionalities.
• Steering organizational change management efforts for BI modernization.

Course Format

• Interactive lectures and discussions.
• Practical exercises focused on migration and adoption planning.
• Hands-on labs covering conversational analytics and embedded GenBI.

Course Customization Options

• For tailored training arrangements, please contact us directly.

WrenAI facilitates the transformation of natural language into SQL queries and provides AI-driven analytics, streamlining and simplifying data access. For enterprise-level deployments, implementing robust quality assurance and observability protocols is critical to guaranteeing accuracy, dependability, and regulatory compliance.

This instructor-led, live training session (available online or onsite) is designed for experienced data and analytics specialists looking to assess query accuracy, utilize prompt tuning strategies, and deploy observability measures to oversee WrenAI in live production environments.

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

• Assess the precision and reliability of Natural Language to SQL (NL to SQL) outputs.
• Employ prompt tuning methods to enhance system performance.
• Track deviations and analyze query patterns over time.
• Integrate WrenAI with logging and observability frameworks.

Course Format

• Engaging lectures paired with interactive discussions.
• Practical exercises focusing on evaluation and tuning techniques.
• Hands-on laboratory sessions covering observability and monitoring integrations.

Customization Options

• For tailored training solutions for this course, please reach out to us to arrange a session.

The WrenAI API serves as a robust interface for converting natural language into SQL queries, developing custom applications, and embedding visual charts within internal platforms.

This instructor-led live training, available both online and on-site, targets intermediate-level engineers seeking to leverage the WrenAI API for practical use cases, including SQL generation, data visualization, and application integration.

Upon completing this training, participants will be capable of:

• Authenticating and connecting applications to the WrenAI API.
• Generating SQL queries from natural language inputs.
• Creating and embedding charts via API endpoints.
• Integrating WrenAI into backend systems and internal tools.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises involving API calls and integrations.
• Practical projects linking applications, charts, and data pipelines.

Customization Options

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

WrenAI Cloud serves as a contemporary platform designed to facilitate the connection of data sources, data modeling, and the creation of interactive dashboards.

This instructor-led training session, available online or onsite, targets beginner to intermediate data professionals seeking to master the setup of WrenAI Cloud, effective data modeling techniques, and the visualization of insights within dashboards.

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

• Set up and configure WrenAI Cloud environments.
• Establish connections between WrenAI Cloud and various data sources.
• Model data and define relationships to support analytics.
• Develop interactive dashboards to derive business insights.

Course Format

• Interactive lectures and discussions.
• Practical, hands-on configuration of the cloud platform and data modeling.
• Hands-on exercises focused on building and visualizing dashboards.

Course Customization Options

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

WrenAI empowers finance teams to model key performance indicators (KPIs), unify standardized metrics, and craft dashboards that adhere to regulatory standards and audit protocols.

This instructor-led live training (available online or on-site) targets finance professionals from intermediate to advanced levels who want to leverage WrenAI to construct compliant financial data models and dashboards that facilitate informed decision-making and robust risk management.

Upon completing this training, participants will be capable of:

• Modeling financial KPIs and metrics within WrenAI.
• Developing dashboards that meet regulatory and audit requirements.
• Integrating WrenAI with financial data sources to enable real-time reporting.
• Applying best practices for financial analytics and risk monitoring.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises involving financial data models.
• Practical labs focused on dashboard design and compliance reporting.

Course Customization Options

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

WrenAI is an open-source generative business intelligence tool that facilitates the conversion of natural language into SQL queries and supports semantic data modeling.

This instructor-led live training, available online or onsite, is designed for advanced data engineers, analytics engineers, and machine learning engineers who aim to build robust semantic layers, refine prompts, and ensure reliable SQL generation.

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

• Implement semantic models to ensure consistent metric definitions across teams.
• Optimize text-to-SQL performance for improved accuracy and scalability.
• Configure and enforce guardrails to prevent invalid or risky queries.
• Integrate WrenAI OSS into data pipelines and analytics workflows.

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 make arrangements.

WrenAI serves as a conversational analytics platform that converts natural-language queries into dependable analytics, empowering non-technical teams to derive insights rapidly and consistently.

This instructor-led, live training (available online or on-site) targets intermediate-level product managers, analysts, and data champions who aim to implement conversational analytics and develop self-service BI capabilities using WrenAI.

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

• Design conversational analytics workflows that highlight reliable product insights.
• Establish and maintain a standardized metrics layer to ensure consistent reporting.
• Effectively utilize natural-language to SQL features to address product-related inquiries.
• Integrate WrenAI-driven self-service dashboards and guardrails into product workflows.

Course Format

• Interactive lectures and discussions.
• Practical labs involving Wren AI and sample datasets.
• Workshop: Construction of a self-service dashboard and a set of conversational queries.

Course Customization Options

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

WrenAI empowers SaaS providers to integrate generative business intelligence (GenBI) directly into their customer-facing products. This training programme equips SaaS teams with the expertise needed to integrate Wren AI via its Embedded API, configure white-label analytics, and manage multi-tenant deployments effectively.

This instructor-led live training (available online or onsite) is designed for intermediate to advanced SaaS product leaders, data engineers, and full-stack developers who aim to deploy WrenAI as an embedded analytics solution within SaaS environments.

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

• Integrate WrenAI using the Embedded API for customer-facing applications.
• Implement white-label conversational BI with custom branding and personalization.
• Design secure and scalable multi-tenant deployments.
• Monitor usage, optimize performance, and ensure compliance within SaaS environments.

Course Format

• Interactive lectures and discussions.
• Hands-on labs utilizing the WrenAI Embedded API.
• Workshop: Design and deploy a white-label analytics feature for a SaaS use case.

Course Customization Options

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

WrenAI Spreadsheets and the Metrics Library facilitate rapid reporting via AI-driven spreadsheet workflows and a repository of pre-built, cross-platform business metrics.

This instructor-led live training (available online or onsite) targets beginner to intermediate-level operations professionals seeking to accelerate their reporting and analysis capabilities using WrenAI Spreadsheets and the Metrics Library.

Upon completing this training, participants will be able to:

• Develop AI-enhanced spreadsheets for data analysis and reporting.
• Utilize the WrenAI Metrics Library to implement standardized KPIs.
• Link spreadsheets to various data sources for real-time updates.
• Establish automated workflows to streamline operational reporting.

Course Format

• Interactive lectures and discussions.
• Practical sessions on building spreadsheets with WrenAI.
• Hands-on exercises involving metrics and KPI reporting.

Course Customization Options

• To request a customized version of this course, please contact us to arrange.