No-Code AI Automation (Make + AI Agents) Training Course

This instructor-led, live training in Turkey (online or onsite) is designed for advanced professionals aiming 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 held in Turkey (online or onsite) is designed for beginner-level professionals seeking 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.

Agentic AI for Business Automation is a practical, hands-on course designed to equip participants with the skills to design, integrate, and scale AI-driven agents for real-world business processes. The curriculum focuses on identifying automation opportunities, integrating various tools, and developing practical use cases across key areas such as customer service, supply chain management, and marketing workflows.

This instructor-led, live training is available either online or onsite, specifically targeting intermediate-level professionals who aim to implement AI-powered automation using 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 drive innovation.
• Mapping existing workflows to determine their suitability for AI agent integration.
• Implementing automation solutions through APIs and orchestration tools.
• Integrating AI models into tangible business scenarios to achieve measurable impact.
• Establishing governance frameworks and monitoring structures for AI-driven operations.

Format of the Course

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

Course Customization Options

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

This instructor-led, live training in Turkey (online or onsite) is designed for advanced professionals who wish to leverage Agentic AI for enterprise-scale automation and strategic AI adoption.

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

• Grasp the role of Agentic AI within enterprise applications.
• Integrate autonomous AI agents into enterprise systems.
• Optimize AI-driven workflows for greater scalability and efficiency.
• Uphold compliance, security, and governance standards in AI automation.
• Formulate AI-driven business strategies to support digital transformation.

Agentic AI represents a new class of systems designed for autonomous decision-making, task execution, and workflow orchestration.

This instructor-led training, available both online and onsite, targets intermediate professionals aiming to grasp how agentic AI will transform organizational workflows, talent strategies, and job design.

By the end of this course, participants will be equipped to:

• Assess the strengths and limitations of agentic AI within enterprise environments.
• Spot opportunities for task automation, augmentation, and redesign.
• Evaluate workforce impacts and formulate responsible adoption strategies.
• Establish governance frameworks ensuring safe, transparent, and compliant AI deployment.

Course Format

• Interactive lectures and discussions.
• Practical exercises and scenario-based analysis.
• Guided, hands-on exploration of agentic workflows.

Customization Options

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

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

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

By the end 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 evolution demands strategic adoption planning, comprehensive 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 modernization opportunities.
• Plan and execute the migration from static dashboards to WrenAI.
• Implement conversational analytics and embedded GenBI functionalities.
• Spearhead organizational change management for BI modernization initiatives.

Course Format

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

Customization Options

• For tailored training requests for this course, please contact us to arrange.

WrenAI facilitates the conversion of natural language into SQL queries and supports AI-driven analytics, streamlining data access to be both faster and more intuitive. For enterprise deployments, maintaining high standards for quality assurance and observability is critical to guarantee accuracy, reliability, and regulatory compliance.

This instructor-led live training, available online or on-site, is designed for experienced data and analytics professionals. Participants will learn how to assess query precision, utilize prompt optimization techniques, and establish robust observability practices to monitor WrenAI within production environments.

Upon completing this training, attendees will be equipped to:

• Assess the precision and dependability of natural language to SQL transformations.
• Implement prompt optimization strategies to enhance system performance.
• Track data drift and analyze query patterns over time.
• Integrate WrenAI with logging and observability frameworks.

Course Structure

• Engaging lectures paired with interactive discussions.
• Practical exercises focusing on evaluation and optimization techniques.
• Hands-on labs dedicated to observability and monitoring integrations.

Customization Options

• For tailored training solutions, please contact us to arrange a session.

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

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

Upon completing this training, participants will be equipped to:

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

Course Format

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

Customization Options

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

WrenAI Cloud offers a contemporary platform for linking data sources, structuring data, and creating interactive dashboards.

This instructor-led live training (available online or on-site) targets beginner to intermediate data professionals who want to master setting up WrenAI Cloud, modeling data, and visualizing insights within dashboards.

Upon completing this training, participants will be able to:

• Configure and set up WrenAI Cloud environments.
• Link WrenAI Cloud to various data sources.
• Model data and define analytical relationships.
• Develop interactive dashboards for business insights.

Course Format

• Interactive lectures and discussions.
• Practical cloud platform configuration and data modeling.
• Exercises focused on building and visualizing dashboards.

Customization Options

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

WrenAI empowers finance teams to model KPIs, integrate standardized metrics, and design dashboards that align with regulatory requirements and audit standards.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level finance professionals who wish to use WrenAI for building 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 BI tool that enables natural language to SQL conversion and semantic data modeling.

This instructor-led, live training (online or onsite) is aimed at advanced-level data engineers, analytics engineers, and ML engineers who wish to build robust semantic layers, tune prompts, and ensure reliable SQL generation.

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

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

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.

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 seamlessly integrate generative business intelligence (GenBI) directly into their customer-facing offerings. This course empowers SaaS teams with the expertise needed to embed Wren AI via its Embedded API, set up white-label analytics, and handle multi-tenant environments effectively.

This instructor-led, live training (available online or onsite) targets intermediate to advanced SaaS product leaders, data engineers, and full-stack developers aiming to deploy WrenAI as an embedded analytics solution within their SaaS infrastructure.

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

• Integrate WrenAI into customer-facing applications using the Embedded API.
• Implement branded and customized white-label conversational BI.
• Design secure and scalable multi-tenant deployments.
• Monitor usage, optimize performance, and maintain compliance within SaaS environments.

Course Format

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

Course Customization Options

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

WrenAI Spreadsheets and 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 operations professionals looking to speed up their reporting and analysis using WrenAI Spreadsheets and the Metrics Library.

Upon completing this training, participants will be able to:

• Develop AI-powered spreadsheets for data analysis and reporting.
• Utilize the WrenAI Metrics Library for 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.
• Hands-on spreadsheet creation with WrenAI.
• Practical exercises focusing on metrics and KPI reporting.

Course Customization Options

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