Building Agentic AI Systems: From Theory to Practice Training Course

This instructor-led, live training in Nigeria (online or onsite) is designed for advanced-level professionals looking to utilise Agentic AI for decision-making in complex business and technical contexts.

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

• Comprehend the principles of autonomous decision-making within AI.
• Design and implement AI agents that function with minimal human intervention.
• Integrate Agentic AI into automation workflows and business systems.
• Optimise AI-driven decision processes for greater efficiency and scalability.
• Ensure compliance, security, and ethical considerations are addressed in AI autonomy.

This instructor-led, live training in Nigeria (online or onsite) is aimed at beginner-level professionals who wish to understand the fundamental principles of Agentic AI, its capabilities, and its potential impact on industries.

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

• Understand the core principles of Agentic AI.
• Differentiate between traditional AI and autonomous AI agents.
• Explore real-world applications of Agentic AI in various industries.
• Assess the benefits and challenges of deploying autonomous AI systems.
• Analyze the ethical and security considerations of Agentic AI.

This practical course on Agentic AI for Business Automation equips participants with the skills to design, integrate, and scale AI-driven agents for real-world business operations. The curriculum emphasizes identifying automation opportunities, integrating relevant tools, and developing practical applications across customer service, supply chain, and marketing functions.

Delivered as an instructor-led, live training session available online or onsite, this programme is tailored for intermediate-level professionals eager to implement AI-powered automation through no-code, low-code, and Python-based methodologies.

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

• Pinpointing key areas where agentic AI can enhance process efficiency and foster innovation.
• Mapping workflows that are suitable for AI agent integration.
• Executing automation via APIs and orchestration tools.
• Integrating AI models into tangible business scenarios to achieve measurable results.
• Establishing governance and monitoring frameworks for AI-driven operations.

Course Format

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

Course Customization Options

• To request customized training for this course, please get in touch to make arrangements.

This instructor-led, live training in Nigeria (online or onsite) is designed for advanced-level professionals seeking to utilise Agentic AI for large-scale business automation and strategic AI adoption.

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

• Grasp the role of Agentic AI within business applications.
• Integrate autonomous AI agents into business systems.
• Enhance AI-driven workflows for scalability and efficiency.
• Ensure compliance, security, and governance in AI automation.
• Develop AI-driven business strategies for digital transformation.

Agentic AI represents an emerging class of systems capable of autonomous decision-making, task execution, and workflow orchestration.

This instructor-led, live training (available online or onsite) is aimed at intermediate-level professionals who wish to understand how agentic AI will reshape organizational workflows, talent strategies, and job design.

Upon completion of the course, participants will be able to:

• Evaluate the capabilities and limitations of agentic AI in enterprise settings.
• 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.

WrenAI is an AI-driven analytics platform engineered to link data, model insights, and generate dashboards. In enterprise settings, strong governance and security measures are essential to guarantee safe and compliant adoption.

This instructor-led, live training (available online or onsite) targets advanced-level enterprise professionals seeking to implement governance, compliance, and security patterns for WrenAI at scale.

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

• Design and implement permissioning models in WrenAI.
• Apply auditability and monitoring practices for compliance.
• Set up secure environments with enterprise-level controls.
• Roll out WrenAI safely across large organizations.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs with governance and security configurations.
• Practical exercises simulating enterprise rollout scenarios.

Course Customization Options

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

WrenAI empowers organizations to transition from static dashboards to conversational analytics and embedded generative BI. This shift demands strategic adoption planning, asset migration, and robust change management practices.

This instructor-led live training (available online or onsite) targets intermediate-level BI and data platform professionals seeking to modernize their legacy BI systems using WrenAI.

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

• Assess legacy BI environments and pinpoint opportunities for modernization.
• Plan and execute the migration from static dashboards to WrenAI.
• Implement conversational analytics and embedded GenBI functionalities.
• Drive organizational change management initiatives 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 customized training arrangements for this course, please contact us.

WrenAI facilitates natural language to SQL generation and AI-powered analytics, making data access faster and more intuitive. For enterprise-grade use, quality assurance and observability practices are essential to ensure accuracy, reliability, and compliance.

This instructor-led, live training (online or onsite) is aimed at advanced-level data and analytics professionals who wish to evaluate query accuracy, apply prompt tuning, and implement observability practices for monitoring WrenAI in production.

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

• Evaluate the accuracy and reliability of NL to SQL outputs.
• Apply prompt tuning techniques to improve performance.
• Monitor drift and query behavior across time.
• Instrument WrenAI with logging and observability frameworks.

Format of the Course

• Interactive lecture and discussion.
• Hands-on exercises with evaluation and tuning techniques.
• Practical labs on observability and monitoring integrations.

Course Customization Options

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

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

This instructor-led, live training session, available either online or onsite, is designed for engineers with intermediate-level skills who aim to leverage the WrenAI API for practical use cases, including SQL generation, data visualization, and application integration.

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

• Authenticate and link applications to the WrenAI API.
• Derive SQL queries from natural language inputs.
• Develop and embed charts using API endpoints.
• Integrate WrenAI into backend systems and internal tools.

Course Format

• Interactive lectures and discussions.
• Practical exercises involving API calls and integrations.
• Real-world projects connecting applications, charts, and data pipelines.

Course Customization Options

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

WrenAI Cloud serves as a contemporary platform that facilitates the connection of data sources, data modelling, and the creation of interactive dashboards.

This instructor-led, live training (available online or onsite) targets beginner to intermediate data professionals who wish to learn how to set up WrenAI Cloud, model data, and visualize insights in dashboards.

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

• Set up and configure WrenAI Cloud environments.
• Connect WrenAI Cloud to multiple data sources.
• Model data and define relationships for analytics.
• Create interactive dashboards for business insights.

Format of the Course

• Interactive lecture and discussion.
• Hands-on cloud platform configuration and data modelling.
• Practical exercises in dashboard building and visualization.

Course Customization Options

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

WrenAI empowers finance teams to model Key Performance Indicators (KPIs), integrate standardized metrics, and design dashboards that comply with regulatory requirements and audit standards.

This instructor-led, live training (available online or onsite) is designed for intermediate to advanced finance professionals who wish to leverage WrenAI to build compliant financial data models and dashboards that support decision-making and risk management.

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

• Model financial KPIs and metrics in WrenAI.
• Build dashboards aligned with regulatory and audit requirements.
• Integrate WrenAI with finance data sources for real-time reporting.
• Apply best practices for financial analytics and risk monitoring.

Format of the Course

• Interactive lecture and discussion.
• Hands-on exercises with financial data models.
• Practical labs on dashboard design and compliance reporting.

Course Customization Options

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

WrenAI is an open-source generative Business Intelligence (BI) tool that facilitates the conversion of natural language into SQL and supports semantic data modelling.

This instructor-led live training, available either 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 guarantee reliable SQL generation.

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

• Implement semantic models to establish consistent metric definitions across teams.
• Optimize text-to-SQL performance to ensure 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.
• Ample exercises and practical sessions.
• Hands-on implementation within a live laboratory environment.

Course Customization Options

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

WrenAI is a conversational analytics platform that translates natural-language queries into reliable analytics, enabling non-technical teams to generate insights quickly and consistently.

This instructor-led, live training (online or onsite) is aimed at intermediate-level product managers, analysts, and data champions who wish to adopt conversational analytics and build self-service BI capabilities with WrenAI.

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

• Design conversational analytics workflows that surface reliable product insights.
• Create and maintain a standardized metrics layer for consistent reporting.
• Use natural-language to SQL features effectively to answer product questions.
• Embed WrenAI-driven self-service dashboards and guardrails in product workflows.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs with Wren AI and sample datasets.
• Workshop: build a self-service dashboard and conversational query set.

Course Customization Options

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

WrenAI allows SaaS providers to embed generative business intelligence (GenBI) directly within their customer-facing applications. This course equips SaaS teams with the necessary skills 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-level SaaS product leaders, data engineers, and full-stack developers who aim to deploy WrenAI as an embedded analytics solution in SaaS environments.

Upon completing this training, participants will be able to:

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

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs using WrenAI Embedded API.
• Workshop: design and deploy a white-label analytics feature for a SaaS use case.

Course Customization Options

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

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

Delivered as an instructor-led live training (available online or onsite), this course is designed for beginner to intermediate operations professionals aiming to expedite their reporting and analytical processes using WrenAI Spreadsheets and the Metrics Library.

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

• Develop AI-enhanced spreadsheets for data analysis and reporting.
• Utilise the WrenAI Metrics Library to implement standardised KPIs.
• Link spreadsheets to various data sources to ensure live data updates.
• Establish automated workflows to streamline operational reporting.

Course Format

• Interactive lectures and discussions.
• Practical, hands-on experience building spreadsheets with WrenAI.
• Applied exercises focused on metrics and KPI reporting.

Course Customization Options

• For organisations seeking a tailored version of this training, please reach out to us to make arrangements.