Agentic AI for Enterprise Applications Training Course
Agentic AI is transforming enterprise applications by facilitating autonomous decision-making, workflow automation, and intelligent business operations.
This instructor-led, live training (available online or onsite) is designed for advanced-level professionals aiming 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 with enterprise systems.
- Enhance AI-driven workflows for scalability and efficiency.
- Uphold compliance, security, and governance in AI automation.
- Formulate AI-driven business strategies for digital transformation.
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.
Course Outline
Introduction to Agentic AI
- Defining Agentic AI and its enterprise applications
- How autonomous AI agents enhance business operations
- Key capabilities of AI-driven automation
Architecting AI-Driven Enterprise Workflows
- Designing autonomous AI workflows
- Integrating AI agents with existing business systems
- Optimizing decision-making with AI automation
Agentic AI in Enterprise Automation
- Use cases for AI-driven business process automation
- AI-powered customer service and operations management
- Enhancing efficiency through AI-driven decision-making
Integrating AI Agents with Enterprise Systems
- Connecting AI agents with ERP, CRM, and analytics platforms
- APIs and frameworks for AI-powered enterprise integration
- Case studies on AI-driven digital transformation
AI Governance, Security, and Compliance
- Regulatory considerations for AI automation
- Ensuring security in AI-powered business processes
- Best practices for responsible AI adoption
Optimizing AI for Scalability and Efficiency
- Performance tuning for large-scale AI applications
- Handling enterprise data pipelines with AI
- Reducing operational bottlenecks with AI-driven workflows
Developing AI-Driven Enterprise Strategies
- Leveraging AI for competitive advantage
- Creating AI-first business models
- Future-proofing enterprise AI initiatives
Future Trends in Agentic AI
- Emerging innovations in AI automation
- Expanding AI-driven enterprise capabilities
- Next-generation AI agents for business transformation
Summary and Next Steps
Requirements
- Understanding of enterprise AI deployment
- Experience with automation and workflow integration
- Familiarity with AI governance and compliance
Audience
- CIOs leading AI-driven digital transformation
- Enterprise AI architects designing intelligent systems
- Digital transformation leaders implementing AI strategies
Open Training Courses require 5+ participants.
Agentic AI for Enterprise Applications Training Course - Booking
Agentic AI for Enterprise Applications Training Course - Enquiry
Agentic AI for Enterprise Applications - Consultancy Enquiry
Testimonials (1)
Good mixvof knowledge and practice
Ion Mironescu - Facultatea S.A.I.A.P.M.
Course - Agentic AI for Enterprise Applications
Upcoming Courses
Related Courses
Autonomous Decision-Making with Agentic AI
14 HoursThis instructor-led, live training in South Korea (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.
Understanding Agentic AI: Concepts and Capabilities
7 HoursThis instructor-led, live training in South Korea (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.
Agentic AI for Business Automation: Use Cases & Integration
21 HoursAgentic AI for Business Automation is a practical course aimed at equipping participants with the skills to design, integrate, and scale AI-driven agents for real-world business processes. It emphasizes mapping automation opportunities, integrating tools, and developing practical use cases across customer service, supply chain, and marketing workflows.
This instructor-led, live training (available online or onsite) targets intermediate-level professionals who want to implement AI-powered automation using no-code, low-code, and Python-based approaches.
By the end of this training, participants will be able to:
- Identify key areas where agentic AI can drive process efficiency and innovation.
- Map workflows suitable for AI agent integration.
- Implement automation through APIs and orchestration tools.
- Integrate AI models into real business scenarios with measurable impact.
- Develop governance and monitoring structures for AI-driven operations.
Format of the Course
- Interactive lectures and practical demonstrations.
- Hands-on exercises and guided projects.
- Live implementation in a sandbox automation environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Agentic AI and the Future of Work
14 HoursAgentic AI represents an emerging class of systems capable of autonomous decision-making, task execution, and workflow orchestration.
This instructor-led, live training (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.
Agentic AI in Healthcare
14 HoursAgentic AI refers to a methodology where AI systems autonomously plan, reason, and utilize tools to achieve objectives within specified limitations.
This instructor-led, live training (available online or onsite) is designed for intermediate-level healthcare and data teams looking to design, evaluate, and govern agentic AI solutions for clinical and operational applications.
Upon completion of this training, participants will be able to:
- Articulate the concepts and constraints of agentic AI within healthcare contexts.
- Design safe agent workflows that incorporate planning, memory, and tool usage.
- Construct retrieval-augmented agents leveraging clinical documents and knowledge bases.
- Evaluate, monitor, and govern agent behavior using guardrails and human-in-the-loop controls.
Format of the Course
- Interactive lectures and facilitated discussions.
- Guided labs and code walkthroughs conducted in a sandbox environment.
- Scenario-based exercises focusing on safety, evaluation, and governance.
Course Customization Options
- For customized training requests regarding this course, please contact us to arrange.
Governance and Security Patterns for WrenAI in the Enterprise
14 HoursWrenAI is an AI-driven analytics platform that facilitates data connectivity, insight modeling, and dashboard generation. In enterprise settings, establishing strong governance and security frameworks is essential to ensure safe and compliant adoption.
This instructor-led live training, available both online and onsite, targets advanced enterprise professionals aiming to implement scalable governance, compliance, and security patterns for WrenAI.
Upon completion of this training, participants will be equipped to:
- Design and deploy permissioning models within WrenAI.
- Implement auditability and monitoring practices to meet compliance requirements.
- Establish secure environments supported by enterprise-grade controls.
- Safely rollout WrenAI across large-scale organizations.
Course Format
- Interactive lectures and discussions.
- Hands-on labs focusing on governance and security configurations.
- Practical exercises that simulate enterprise rollout scenarios.
Customization Options
- For customized training requests, please contact us to make arrangements.
Modernizing Legacy BI with WrenAI: Adoption, Migration, and Change Management
14 HoursWrenAI empowers organizations to shift from static dashboards to conversational analytics and embedded generative BI. This evolution demands thoughtful adoption planning, seamless 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 seeking to modernize their legacy BI systems using WrenAI.
Upon completing this training, participants will be equipped to:
- Assess legacy BI environments and pinpoint modernization opportunities.
- Strategically plan and execute the transition from static dashboards to WrenAI.
- Implement conversational analytics and embedded GenBI capabilities.
- Lead organizational change management efforts for BI modernization.
Course Format
- Interactive lectures and discussions.
- Hands-on exercises focused on migration and adoption planning.
- Practical labs covering conversational analytics and embedded GenBI.
Course Customization Options
- For requests regarding customized training for this course, please contact us to arrange.
Quality and Observability for WrenAI: Evaluation, Prompt Tuning, and Monitoring
14 HoursWrenAI facilitates natural language to SQL generation and AI-driven analytics, streamlining data access with greater speed and intuitiveness. For enterprise-level deployment, rigorous quality assurance and observability practices are critical to guarantee accuracy, reliability, and regulatory compliance.
This instructor-led live training, available both online and onsite, targets advanced data and analytics professionals seeking to assess query accuracy, implement prompt tuning strategies, and establish observability protocols for monitoring WrenAI in production environments.
Upon completion of this training, participants will be equipped to:
- Assess the accuracy and reliability of Natural Language to SQL outputs.
- Utilize prompt tuning techniques to enhance system performance.
- Monitor data drift and query patterns over time.
- Integrate WrenAI with logging and observability frameworks.
Course Format
- Interactive lectures and group discussions.
- Practical exercises focused on evaluation and tuning methods.
- Hands-on labs covering observability and monitoring integrations.
Customization Options
- For customized training arrangements, please contact us directly.
Building with the WrenAI API: Applications, Charts, and NL to SQL
14 HoursThe WrenAI API serves as a robust interface for converting natural language into SQL queries, constructing bespoke applications, and embedding visualizations 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 implementations, including SQL generation, data visualization, and application integration.
Upon completion of this training, participants will be capable of:
- Authenticating and linking 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 focused on connecting apps, charts, and data pipelines.
Customization Options
- To request a customized training version of this course, please contact us to arrange.
WrenAI Cloud Essentials: From Data Sources to Dashboards
14 HoursWrenAI Cloud is a contemporary platform designed for linking data sources, structuring data models, and constructing interactive dashboards.
This guided, live training session, available either online or on-site, targets beginner to intermediate-level data professionals seeking to master the setup of WrenAI Cloud, data modeling techniques, and dashboard-based visualization of insights.
Upon completion of this training, participants will be equipped to:
- Establish and configure WrenAI Cloud environments.
- Integrate WrenAI Cloud with various data sources.
- Model data and define analytical relationships.
- Develop interactive dashboards for actionable business insights.
Course Format
- Interactive lectures and discussions.
- Practical cloud platform configuration and data modeling exercises.
- Hands-on dashboard creation and visualization training.
Customization Options
- For customized training arrangements for this course, please contact us to discuss your specific needs.
WrenAI for Financial Analytics: KPI Modeling and Regulatory-Aware Dashboards
14 HoursWrenAI empowers finance teams to model key performance indicators (KPIs), integrate standardized metrics, and design dashboards that align with regulatory requirements and audit standards.
This instructor-led, live training (available online or onsite) is designed for intermediate to advanced finance professionals who want 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 OSS Deep Dive: Semantic Modeling, Text to SQL, and Guardrails
21 HoursWrenAI is an open-source generative Business Intelligence (BI) solution that facilitates the conversion of natural language into SQL queries, alongside comprehensive semantic data modeling.
This instructor-led, live training session, available either online or on-site, is designed for advanced data engineers, analytics engineers, and ML engineers seeking to construct robust semantic layers, fine-tune prompts, and guarantee reliable SQL output.
Upon completion of this training, participants will gain the ability to:
- Deploy semantic models that ensure consistent metric definitions across various teams.
- Enhance the accuracy and scalability of text-to-SQL performance.
- Set up and enforce guardrails to prevent invalid or high-risk queries.
- Seamlessly integrate WrenAI OSS into existing data pipelines and analytics workflows.
Course Format
- Engaging lectures combined with interactive discussions.
- Extensive exercises and practical practice sessions.
- Hands-on implementation within a live-lab environment.
Customization Options
- For those interested in a tailored training experience for this course, please reach out to us to make arrangements.
WrenAI for Product Teams: Conversational Analytics and Self-Service BI
14 HoursWrenAI serves as a conversational analytics platform, converting natural language queries into trustworthy analytics. This empowers non-technical teams to rapidly and consistently derive meaningful insights.
This instructor-led live training, available both online and onsite, targets intermediate-level product managers, analysts, and data champions who aim to implement conversational analytics and establish self-service BI capabilities using WrenAI.
Upon completing this training, participants will be able to:
- Design conversational analytics workflows that reveal reliable product insights.
- Create and maintain a standardized metrics layer to ensure consistent reporting.
- Effectively utilize natural-language-to-SQL features to address product-related questions.
- Integrate WrenAI-powered self-service dashboards and guardrails into product workflows.
Format of the Course
- Interactive lectures and discussions.
- Hands-on labs utilizing Wren AI and sample datasets.
- Workshop focused on building a self-service dashboard and conversational query set.
Course Customization Options
- To request customized training for this course, please contact us to make arrangements.
Deploying WrenAI for SaaS: Embedded GenBI in Customer-Facing Products
14 HoursWrenAI empowers SaaS providers to embed generative business intelligence (GenBI) directly into their customer-facing applications. This course equips SaaS teams with the expertise to integrate Wren AI via its Embedded API, configure white-label analytics, and manage multi-tenant deployments effectively.
This instructor-led, live training—available both online and onsite—is designed for intermediate to advanced SaaS product leaders, data engineers, and full-stack developers looking 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 branding and customization.
- Design secure and scalable multi-tenant deployments.
- Monitor usage, optimize performance, and ensure compliance in 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.
Operational Analytics with WrenAI Spreadsheets and Metrics Library
14 HoursWrenAI Spreadsheets and Metrics Library facilitate rapid reporting by leveraging AI-driven spreadsheet workflows and a repository of pre-built, cross-platform business metrics.
This instructor-led live training, available either online or onsite, is designed for operations professionals at the beginner to intermediate level who aim to accelerate their reporting and analytical processes using WrenAI Spreadsheets and the Metrics Library.
Upon completing this training, participants will be capable of:
- Developing AI-enhanced spreadsheets for data analysis and reporting.
- Utilizing the WrenAI Metrics Library to establish standardized key performance indicators (KPIs).
- Linking spreadsheets to various data sources to ensure real-time updates.
- Developing 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 those interested in customizing this course, please reach out to us to arrange it.