Python for Autonomous Agents: Tooling, SDKs & Orchestration Training Course

Google Antigravity serves as an agentic development platform engineered to create autonomous agents that demonstrate planning, reasoning, coding, and action capabilities through the multimodal features of Gemini 3.

This live, instructor-facilitated training session, available online or on-site, is intended for senior technical specialists seeking to design, construct, and deploy autonomous agents utilizing Gemini 3 and the Antigravity environment.

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

• Construct autonomous workflows leveraging Gemini 3 for logical reasoning, planning, and execution.
• Develop agents within Antigravity capable of task analysis, code generation, and utility interaction.
• Integrate Gemini-based agents with public sector systems and service interfaces.
• Refine agent behavior, security, and reliability in complex operational environments.

Instructional Format

• Technical demonstrations accompanied by interactive dialogues.
• Practical exercises focused on autonomous agent development.
• Applied implementation using Antigravity, Gemini 3, and associated cloud tools for government applications.

Program Adaptation

• For teams requiring specialized agent behaviors or custom system integrations, please contact us to customize the curriculum for specific governmental needs.

Google Antigravity serves as a sophisticated framework for the exploration of long-term autonomous agents and emergent interactive dynamics.

This instructor-led training, available in online or on-site formats, is designed for advanced professionals seeking to design, analyze, and optimize agents that maintain persistent memory, refine operations through feedback, and evolve over extended operational periods.

Upon course completion, participants will possess the competencies to:

• Architect long-term memory structures for agent continuity.
• Deploy effective feedback loops to direct agent performance.
• Analyze learning progressions and identify model drift.
• Integrate memory functions within complex multi-agent systems for government applications.

Instructional Methodology

• Guided technical discourse accompanied by practical demonstrations.
• Practical application through structured design exercises.
• Synthesis of concepts within simulated agent environments.

Customization Options

• Organizations requiring specialized content or specific case studies are encouraged to contact our office to tailor this training program.

Antigravity serves as a specialized development platform engineered for the construction of AI-powered, agent-centric applications for government use.

This facilitated, live instruction session (available remotely or on-site) targets mid-level technical personnel seeking to deploy functional solutions utilizing autonomous AI entities within the Antigravity ecosystem.

Upon completion, participants will possess the competencies required to:

• Engineer systems dependent on independent and synchronized AI components.
• Utilize the Antigravity IDE, including its editor, terminal, and browser interfaces, for comprehensive system development.
• Administer complex multi-agent processes via the Agent Manager module.
• Incorporate agent functionalities into enterprise-grade software infrastructures.

Instructional Methodology

• Combined theoretical presentations and detailed technical demonstrations.
• Comprehensive practical exercises and guided skill application.
• Direct implementation tasks executed within the live Antigravity environment.

Curriculum Adaptation Options

• For content tailored to specific technical stacks, coordinate with our team to establish a customized training module for government operations.

Google Antigravity is an agent-priority development environment engineered to optimize engineering workflows through intelligent automation capabilities.

This instructor-led, live training session (available online or in-person) is designated for entry-level practitioners seeking to examine the foundational elements of Antigravity and comprehend how agent-driven coding environments augment operational efficiency.

Upon successful completion of this training program, participants will demonstrate the ability to:

• Install and configure Google Antigravity in a controlled environment.
• Navigate and interpret both the Editor Interface and Manager Interface.
• Collaborate effectively with autonomous agents to automate foundational development tasks.
• Utilize Antigravity to generate, refine, and manage project documentation and code files.

Instructional Delivery Method

• Instructor-led explanations accompanied by live, real-time demonstrations.
• Structured exercises emphasizing practical application of agent features.
• Practical examination of core Antigravity capabilities within a secure laboratory setting.

Customization Provisions

• For agencies requiring a tailored curriculum specific to their operational needs, please contact our team to arrange a customized training program for government use.

Google Antigravity is a platform designed for constructing agents that interact with web applications, browser environments, and multi-surface workflows.

This instructor-led, live training (delivered online or on-site) is intended for intermediate-level professionals seeking to build, automate, and test browser-based workflows using Google Antigravity.

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

• Develop agents capable of interacting with web applications within a browser surface.
• Automate end-to-end workflows across various browser contexts.
• Validate and troubleshoot agent behavior in UI-driven environments.
• Implement cross-surface automation strategies utilizing Antigravity.

Course Delivery Format

• Guided instruction supported by practical demonstrations.
• Hands-on activities and scenario-based exercises focused on application.
• Execution of agent workflows within an interactive lab environment.

Course Customization Options

• For specific training requirements, please contact us to tailor the course to your organizational objectives.

Google Antigravity serves as an agent-centric development platform designed to orchestrate, supervise, and coordinate AI-driven coding and automation workflows for government operations.

This live, instructor-led training session, available online or on-site, targets intermediate-level professionals seeking to design, manage, and optimize multi-agent workflows within Google Antigravity for government contexts.

Upon successful completion, participants will possess the competencies required to:

• Configure agent responsibilities and orchestration pipelines within the Manager interface.
• Generate and interpret Antigravity artifacts, including task lists, plans, logs, and browser recordings.
• Implement verification strategies to ensure agent actions remain transparent and auditable for government oversight.
• Optimize multi-agent collaboration for complex development and operational tasks within public sector environments.

Instructional Methodology

• Structured presentations and technical demonstrations.
• Scenario-based exercises addressing realistic workflow challenges.
• Practical experimentation within a live Antigravity workspace.

Course Customization Options

• Entities requiring a tailored version of this curriculum are advised to contact the training provider to discuss customization options.

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.