Building AI Agents with the Claude API and the Agent SDK Training Course

This instructor-led, live training in US (online or onsite) is targeted at advanced-level professionals who intend to utilize Agentic AI for decision-making in complex business and technical scenarios.

Following the completion of this training, participants will be capable of:

• Grasping the core principles of autonomous decision-making within AI.
• Engineering and deploying AI agents that operate with limited human intervention.
• Incorporating Agentic AI into automation workflows and operational systems.
• Refining AI-driven decision processes for improved efficiency and scalability.
• Maintaining compliance, security, and ethical integrity in autonomous AI operations.

This comprehensive five-day training program is designed for finance professionals seeking to integrate advanced analytics, AI-assisted Python, intelligent dashboards, and agentic AI to enhance financial analysis, reporting, and operational efficiency for government. The curriculum progresses from foundational data handling and AI-supported Python coding to advanced analysis, dashboard development, General Ledger intelligence, and agentic workflow automation.

Course Objectives

• Utilize Python in conjunction with AI assistants to write, explain, debug, and improve finance-focused analytical code.
• Prepare, analyze, and interpret financial datasets using advanced analytics and AI-assisted methodologies.
• Construct interactive finance dashboards and generate AI-supported management insights for decision-making.
• Apply AI technologies to General Ledger analysis, reconciliations, journal reviews, financial close processes, and exception detection.
• Understand and design agentic AI workflows that can plan, analyze, validate, and escalate finance tasks under human oversight.
• Implement governance frameworks, controls, and responsible AI practices tailored for government finance use cases.

This instructor-led live training in US (available online or on-site) is designed for entry-level professionals seeking to understand the core principles of Agentic AI, its capabilities, and its potential impact on industry.

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

• Comprehend the core principles of Agentic AI.
• Differentiate between traditional AI and autonomous AI agents.
• Examine real-world applications of Agentic AI for government and other industries.
• Assess the benefits and challenges of implementing autonomous AI systems.
• Analyze the ethical and security dimensions of Agentic AI.

This live, instructor-led training in US guides intermediate professionals in designing and scaling agentic AI for operational automation. Participants will learn to map workflows, integrate technology tools, and construct practical applications in service, supply chain, and communications domains, ensuring measurable impact for government operations.

This instructor-led, live training in US (online or onsite) is designed for senior professionals seeking to implement Agentic AI for large-scale automation and strategic adoption in government contexts.

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

• Understand the strategic role of Agentic AI in public sector applications.
• Integrate autonomous AI agents with government systems and infrastructure.
• Optimize AI-driven workflows for scalability and operational efficiency.
• Ensure compliance, security, and governance in AI automation for government use.
• Develop AI-driven strategies for public sector digital transformation.

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

This instructor-led, live training (online or onsite) is tailored for intermediate-level professionals seeking to understand how agentic AI will reshape organizational workflows, talent strategies, and job design for government service delivery.

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

• Evaluate the capabilities and constraints of agentic AI in enterprise and public sector settings.
• Identify opportunities for task automation, augmentation, and process redesign.
• Assess workforce implications and develop responsible adoption strategies aligned with public interest.
• Plan governance frameworks for safe, transparent, and compliant AI deployment for government use.

Format of the Course

• Interactive lectures and facilitated discussions.
• Practical exercises and scenario-based analysis of public sector challenges.
• Hands-on exploration of agentic workflows in a guided, secure environment.

Course Customization Options

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

WrenAI empowers organizations to advance beyond static reporting interfaces toward conversational analytics and embedded generative business intelligence. This transformation necessitates rigorous adoption planning, asset migration strategies, and robust change management practices.

This instructor-led, live training session (available online or in person) is designed for intermediate-level business intelligence and data platform professionals seeking to modernize legacy business intelligence systems using WrenAI.

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

• Assess legacy business intelligence environments and pinpoint opportunities for modernization.
• Plan and execute the migration from static dashboards to the WrenAI platform.
• Implement conversational analytics and embedded generative business intelligence capabilities.
• Direct organizational change management efforts related to business intelligence modernization.

Course Delivery Format

• Interactive lectures and facilitated discussions.
• Practical exercises focused on migration and adoption planning.
• Applied laboratory sessions on conversational analytics and embedded generative business intelligence.

Customization Options for the Course

• To request customized training for government or specific operational needs, please contact the provider for arrangements.

WrenAI facilitates the conversion of natural language into SQL and supports AI-enhanced analytics, thereby accelerating data access and improving user interface intuitiveness. For robust institutional application, rigorous quality assurance and observability protocols are necessary to guarantee precision, system dependability, and regulatory adherence for government use.

This live, instructor-led training session (available via online or in-person formats) is designed for senior data and analytics specialists seeking to assess query precision, implement prompt optimization, and establish observability protocols for monitoring WrenAI in live environments.

Upon completion of this program, attendees will be equipped to:

• Assess the precision and dependability of natural language to SQL outputs.
• Utilize prompt optimization strategies to enhance system performance.
• Track data drift and query trends over extended periods.
• Integrate WrenAI with logging systems and observability frameworks.

Training Structure

• Engaging presentations and facilitated discussions.
• Applied exercises focused on assessment and tuning methodologies.
• Practical laboratory sessions on observability and monitoring integration.

Customization Options for Training

• To request a tailored training curriculum for this course, please contact our office for scheduling arrangements.

The WrenAI API provides a robust interface for generating SQL queries from natural language, developing custom applications, and integrating visual analytics into internal government platforms.

This live training, available online or on-site, is designed for intermediate-level engineers seeking to leverage the WrenAI API for practical applications, including SQL generation, visualization, and system integration for government operations.

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

• Authenticate and establish secure connections between applications and the WrenAI API.
• Generate SQL queries from natural language inputs with verified accuracy.
• Create and embed charts using designated API endpoints.
• Integrate WrenAI into backend systems and internal toolsets for government use.

Instructional Format

• Interactive lectures and facilitated discussions.
• Practical exercises involving API calls and system integrations.
• Applied projects connecting applications, visualizations, and data pipelines.

Customization Options

• To request a customized training program tailored to specific agency needs, please contact our team for arrangements.

WrenAI Cloud serves as a contemporary platform designed for the integration of data sources, structured data modeling, and the creation of interactive analytical dashboards.

This instructor-facilitated live training program, available either virtually or in person, is intended for data professionals with entry-level to intermediate proficiency who seek to acquire competencies in configuring WrenAI Cloud, executing data models, and visualizing insights through dashboard interfaces.

Upon completion of this course, participants will demonstrate the capacity to:

• Initialize and configure WrenAI Cloud operational environments.
• Establish connectivity between WrenAI Cloud and diverse data sources.
• Construct data models and define relational structures for analytical purposes.
• Develop interactive dashboards to convey business-relevant insights.

Instructional Methodology

• Interactive lectures and facilitated discussions.
• Practical exercises in cloud platform configuration and data modeling.
• Applied tasks focused on dashboard construction and visualization techniques.

Tailored Training Options

• To initiate a customized training engagement for this curriculum, please reach out to our team to coordinate arrangements.

WrenAI enables 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.

Course Delivery Method

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

Customization Options for the Course

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

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

This instructor-led, live training (conducted online or onsite) is designed for advanced data engineers, analytics engineers, and machine learning engineers who intend to construct robust semantic layers, optimize prompts, and ensure reliable SQL generation.

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

• Implementing semantic models to ensure consistent metric definitions across teams.
• Optimizing text-to-SQL performance for improved accuracy and scalability.
• Configuring and enforcing safeguards to prevent invalid or high-risk queries.
• Integrating WrenAI OSS into data pipelines and analytical workflows for government applications.

Course Format

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

Course Customization Options

• To request a customized training program for government use, please contact us to make arrangements.

WrenAI empowers SaaS vendors to incorporate generative business intelligence (GenBI) directly into customer-facing digital products. This course provides SaaS teams with the necessary competencies to integrate WrenAI via its Embedded API, configure white-label analytics solutions, and oversee multi-tenant operational deployments.

This instructor-led, live training program, available either online or on-site, is designed for intermediate to advanced SaaS product leaders, data engineers, and full-stack developers seeking to deploy WrenAI as an embedded analytics solution within SaaS ecosystems for government and private sector applications.

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

• Integrate WrenAI utilizing the Embedded API for customer-facing application development.
• Deploy white-label conversational BI with tailored branding and functional customization.
• Architect secure and scalable multi-tenant deployment models.
• Monitor system usage, optimize performance metrics, and ensure regulatory compliance in SaaS environments.

Training Delivery Format

• Interactive instruction and facilitated discussion sessions.
• Practical laboratory exercises utilizing the WrenAI Embedded API.
• Workshop: Design and deployment of a white-label analytics feature for a specific SaaS operational scenario.

Training Customization Options

• To initiate a customized training engagement for this curriculum, please contact the program administration to coordinate scheduling.

The WrenAI Spreadsheets and Metrics Library facilitate rapid reporting through AI-driven spreadsheet workflows and a comprehensive library of pre-configured, cross-platform business metrics for government application.

This instructor-led, live training session, available either online or on-site, is designed for operations professionals ranging from beginner to intermediate levels who seek to enhance the efficiency of reporting and analysis utilizing WrenAI Spreadsheets and the Metrics Library.

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

• Construct AI-powered spreadsheets to support data analysis and reporting objectives.
• Utilize the WrenAI Metrics Library to implement standardized key performance indicators.
• Link spreadsheets to diverse data sources to enable live data updates.
• Develop automated workflows to optimize operational reporting processes for government agencies.

Instructional Methodology

• Interactive lecture and facilitated discussion.
• Practical spreadsheet construction exercises using WrenAI.
• Applied exercises focused on metrics and KPI reporting.

Customization Options for Government Clients

• For inquiries regarding customized training tailored to specific government requirements, please contact our team for coordination.