Agentic AI Training in Georgia

Generative AI and Agentic AI are two influential paradigms driving the next wave of automation and intelligence in various sectors, including content generation and goal-driven autonomous behavior. This instructor-led, live training (available online or onsite) is designed for intermediate-level AI and technical professionals who wish to understand how to build, evaluate, and integrate generative and agentic AI into real-world applications, particularly for government use. By the end of this training, participants will be able to: - Understand the architecture and capabilities of generative AI systems. - Explore the rise of autonomous AI agents and their extension of language models. - Utilize prompt engineering and tool integrations for practical deployments. - Compare models, tools, and techniques for responsible deployment. **Format of the Course** - Interactive lecture and discussion. - Hands-on use of generative and agentic AI tools in real-world scenarios. - Guided exercises focused on content generation and autonomous workflows. **Course Customization Options** - To request a customized training for this course, particularly tailored for government applications, please contact us to arrange.

Agentic AI is an emerging class of systems designed for autonomous decision-making, task execution, and workflow orchestration. This instructor-led, live training (available online or onsite) is tailored for intermediate-level professionals who wish to understand how agentic AI will transform organizational workflows, talent strategies, and job design in the public sector. Upon completion of the course, participants will be able to: - Evaluate the capabilities and limitations of agentic AI in enterprise settings for government. - Identify opportunities for task automation, augmentation, and redesign within governmental processes. - Assess workforce implications and develop responsible adoption strategies that align with public sector values. - Plan governance frameworks to ensure safe, transparent, and compliant AI deployment in government operations. **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 tailored specifically for government agencies, please contact us to arrange.

The Hands-On Agentic AI Bootcamp is an intensive, project-driven course designed to provide participants with practical experience in designing, building, and deploying autonomous AI agents using Python. Through five progressively complex projects, attendees will delve into agentic design patterns, prompt workflows, API orchestration, and real-world integration scenarios. This instructor-led, live training (available online or onsite) is tailored for intermediate-level professionals who aim to transition swiftly from theoretical knowledge to practical implementation by developing functional prototypes of agentic AI applications. By the end of this training, participants will be able to: - Understand agentic AI architectures and key design principles. - Develop, test, and deploy multiple agent-based applications in Python. - Integrate agents with external tools, APIs, and databases. - Optimize prompts and workflows for performance and reliability. - Apply best practices for monitoring, versioning, and scaling agent systems. **Format of the Course** - Interactive lectures and guided coding sessions. - Hands-on project development and debugging. - Live demonstration of end-to-end agent deployment. **Course Customization Options for Government** To request a customized training program tailored to specific needs for government agencies, please contact us to arrange.

The Edge & Lightweight Agents course is designed to provide practical training in deploying agentic artificial intelligence (AI) workloads on resource-constrained devices. Participants will learn to develop, optimize, and manage lightweight agents capable of performing local reasoning and inference, thereby enhancing speed, privacy, and reliability in distributed environments. The course places a strong emphasis on performance tuning, low-latency design, and the integration of hardware and software. This instructor-led, live training (available both online and onsite) is tailored for intermediate-level professionals who are interested in implementing and optimizing on-device agentic systems using Python and edge AI frameworks. By the end of this training, participants will be able to: - Understand the architecture and challenges associated with running agentic AI on edge devices. - Design lightweight agent loops that are suitable for environments with limited resources. - Implement local inference capabilities using TensorFlow Lite, PyTorch Mobile, and ONNX. - Integrate agents with sensors, actuators, and Internet of Things (IoT) platforms. - Optimize performance, energy consumption, and latency to ensure real-time operation. **Format of the Course** - Interactive lectures and practical demonstrations. - Hands-on development in local or emulated environments. - Project-based learning and guided implementation exercises. **Course Customization Options for Government** To request a customized training program tailored to specific needs and requirements, please contact us to arrange. This option is particularly useful for government agencies looking to align the course content with their unique workflows, governance, and accountability standards.

Agentic AI refers to systems that operate independently to achieve specific goals, integrating reasoning, memory, and tool usage. This course provides a structured introduction to the concepts of agentic AI, with a focus on prompt engineering, architectural design patterns, and responsible use practices. Participants will gain foundational knowledge for building, guiding, and deploying agents effectively and safely.

This instructor-led, live training (available online or onsite) is designed for government professionals at beginner to intermediate levels who wish to understand how to design, prompt, and manage responsible agentic systems using practical frameworks and examples.

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

• Explain the core principles and lifecycle of agentic AI systems.
• Apply prompt engineering techniques for effective task completion.
• Design simple agent workflows using tool access and decision logic.
• Implement safety, governance, and responsible-use considerations in AI agents.
• Build a prototype agent using open frameworks and Python.

Format of the Course

• Interactive lecture and guided demonstration.
• Hands-on exercises and coding practice.
• Collaborative discussions and case-based activities.

Course Customization Options

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

Agentic AI for Business Automation is a comprehensive course designed to equip participants with the skills needed to design, integrate, and scale AI-driven agents for real-world business processes. The curriculum 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) is tailored for intermediate-level professionals who aim 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 enhance process efficiency and innovation.
• Map workflows that are suitable for AI agent integration.
• Implement automation through APIs and orchestration tools.
• Integrate AI models into real business scenarios with quantifiable impact.
• Develop governance and monitoring structures for AI-driven operations, ensuring compliance and accountability.

Format of the Course

• Interactive lectures and practical demonstrations.
• Hands-on exercises and guided projects.
• Live implementation in a sandbox automation environment, providing a safe space for experimentation.

Course Customization Options

• To request a customized training for government or other organizations, please contact us to arrange.

This course delves into the design, coordination, and implementation of multi-agent systems (MAS) using Python. Participants will learn how to develop agents that can communicate, collaborate, and adapt to achieve shared goals in complex, dynamic environments. This instructor-led, live training (online or onsite) is designed for advanced-level professionals who aim to create and implement multi-agent systems for government applications such as intelligent automation, simulation, and decision-making. By the end of this training, participants will be able to: - Understand the architecture and principles of multi-agent systems. - Develop agents capable of communication, coordination, and negotiation. - Implement distributed environments for agent interactions. - Apply reinforcement learning and planning in multi-agent contexts. - Simulate cooperative and competitive agent behaviors. - Design hybrid workflows combining human and intelligent agent interactions. **Format of the Course** - Instructor-led lectures and live demonstrations. - Hands-on exercises using open-source agent frameworks. - Applied group project simulating a multi-agent scenario. **Course Customization Options** - To request a customized training for government, please contact us to arrange.

This course explores the principles and implementation of reinforcement learning (RL) and sequential decision-making as they apply to agentic AI systems. Participants will learn how to design, train, and evaluate agents that interact dynamically with their environments to achieve long-term goals through learning and adaptation. This instructor-led, live training (online or onsite) is aimed at advanced-level engineers and researchers who wish to integrate reinforcement learning and planning algorithms into agentic systems for automation, robotics, and adaptive reasoning. The course emphasizes the application of these techniques in a variety of sectors, including those relevant for government operations. By the end of this training, participants will be able to: - Understand the mathematical foundations of reinforcement learning and decision-making. - Implement key RL algorithms such as DQN, PPO, and A3C using Python and PyTorch. - Model environments using OpenAI Gym and design custom simulation scenarios. - Train, evaluate, and debug agents for continuous and discrete control tasks. - Apply reinforcement learning techniques to agentic AI use cases in robotics and planning. - Balance exploration, exploitation, and safety constraints in real-world deployment. **Format of the Course** - Instructor-led lectures and live coding demonstrations. - Hands-on exercises using open-source frameworks and simulation environments. - Applied project integrating decision-making into an agentic AI system. **Course Customization Options** - To request a customized training for this course, please contact us to arrange.

This course focuses on scaling, operationalizing, and managing agentic AI systems in production environments, with an emphasis on reliability, observability, and cost efficiency. This instructor-led, live training (online or onsite) is aimed at advanced-level professionals who wish to build resilient, observable, and cost-optimized pipelines for large-scale agentic systems for government. By the end of this training, participants will be able to: - Design scalable architectures for agentic AI workloads. - Implement observability and monitoring frameworks tailored for agent behavior and interactions. - Apply performance tuning and resource optimization techniques for long-running agent processes. - Control costs and prevent “agent sprawl” through policy, orchestration, and automation. - Integrate MLOps best practices for continuous deployment, versioning, and rollback of agentic services. **Format of the Course** - Hands-on, engineering-focused sessions with live infrastructure examples. - Interactive discussion of architectural trade-offs and observability challenges. - Capstone exercise: deploy and monitor a cost-controlled, production-grade agentic system. **Course Customization Options** - To request a customized training for this course, please contact us to arrange.

WrenAI enables organizations to transition from static dashboards to conversational analytics and embedded generative business intelligence. This shift necessitates thorough adoption planning, asset migration, and effective change management practices. This instructor-led, live training (available online or onsite) is designed for intermediate-level BI and data platform professionals who are interested in modernizing legacy BI systems with WrenAI. By the end of this training, participants will be able to: - Evaluate existing BI environments and identify opportunities for modernization. - Plan and execute migrations from static dashboards to WrenAI. - Implement conversational analytics and embedded generative business intelligence capabilities. - Lead organizational change management efforts for BI modernization. **Format of the Course** - Interactive lectures and discussions - Hands-on exercises focused on migration and adoption planning - Practical labs on conversational analytics and embedded generative business intelligence **Course Customization Options** - To request a customized training program for government or other organizations, please contact us to arrange.

This course covers governance, identity management, and adversarial testing for agentic AI systems, with a focus on enterprise-safe deployment patterns and practical red-teaming techniques. This instructor-led, live training (online or onsite) is aimed at advanced-level practitioners who wish to design, secure, and evaluate agent-based AI systems in production environments for government. By the end of this training, participants will be able to: - Define governance models and policies for safe agentic AI deployments. - Design non-human identity and authentication flows for agents with least-privilege access. - Implement access controls, audit trails, and observability tailored to autonomous agents. - Plan and execute red-team exercises to discover misuses, escalation paths, and data exfiltration risks. - Mitigate common threats to agentic systems through policy, engineering controls, and monitoring. **Format of the Course** - Interactive lectures and threat-modeling workshops. - Hands-on labs: identity provisioning, policy enforcement, and adversary simulation. - Red-team/blue-team exercises and end-of-course assessment. **Course Customization Options** - To request a customized training for this course, please contact us to arrange.

Python serves as the foundational language driving the development and coordination of autonomous AI agents. This course emphasizes practical implementation using modern SDKs and frameworks such as LangChain and AutoGen to construct, connect, and manage agent workflows. This instructor-led, live training (online or onsite) is designed for intermediate-level backend engineers, platform engineers, and ML engineers who aim to implement and coordinate autonomous agents using Python tooling and APIs. By the end of this training, participants will be able to: - Set up and configure Python-based environments for agentic systems. - Utilize popular agent SDKs like LangChain and AutoGen to develop functional agents. - Integrate tools and APIs to enhance agent capabilities. - Orchestrate multi-agent workflows and communication patterns. - Apply best practices for debugging, testing, and maintaining agentic codebases. **Format of the Course** - Interactive lecture and discussion. - Hands-on programming exercises and live demonstrations. - Practical projects building end-to-end agent workflows. **Course Customization Options** - To request a customized training for government or other specific needs, please contact us to arrange.

WrenAI offers finance teams the capability 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 on-site) is designed for intermediate to advanced-level finance professionals who seek to leverage WrenAI for constructing compliant financial data models and dashboards that support informed decision-making and effective risk management. By the end of this training, participants will be able to: - Model financial KPIs and metrics using WrenAI. - Develop dashboards that align with regulatory and audit requirements. - Integrate WrenAI with finance data sources for real-time reporting. - Implement best practices for financial analytics and risk monitoring. **Format of the Course** - Interactive lectures and discussions - Hands-on exercises with financial data models - Practical labs on dashboard design and compliance reporting **Course Customization Options for Government** - To request a customized training program tailored to specific needs, please contact us to arrange.

This course provides practical engineering techniques for designing, building, testing, and deploying autonomous systems using Python. It covers key topics such as the agent loop, tool integrations, memory and state management, orchestration patterns, safety controls, and production considerations. This instructor-led, live training (available online or onsite) is designed for intermediate to advanced ML engineers, AI developers, and software engineers who wish to develop robust, production-ready autonomous agents using Python. By the end of this training, participants will be able to: - Design and implement the agent loop and decision-making workflows. - Integrate external tools and APIs to enhance agent capabilities. - Implement short-term and long-term memory architectures for agents. - Coordinate multi-step orchestrations and ensure agent composability. - Apply safety, access control, and observability best practices for deployed agents. **Format of the Course** - Interactive lecture and discussion - Hands-on labs building agents with Python and popular SDKs - Project-based exercises that produce deployable prototypes **Course Customization Options for Government** - To request a customized training tailored to specific needs, please contact us to arrange.

WrenAI facilitates the conversion of natural language into SQL and offers AI-driven analytics, enhancing data access speed and intuitiveness. For government use, quality assurance and observability practices are critical to ensure accuracy, reliability, and compliance.

This instructor-led, live training (available online or on-site) is designed for advanced-level data and analytics professionals who wish to assess query accuracy, apply prompt tuning, and implement observability practices for monitoring WrenAI in production environments.

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

• Evaluate the precision and reliability of natural language to SQL outputs.
• Apply prompt tuning techniques to enhance performance.
• Track drift and query behavior over time.
• Integrate WrenAI with logging and observability frameworks.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises focusing on evaluation and tuning techniques.
• Practical labs for observability and monitoring integrations.

Course Customization Options

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

Agentic AI is an approach where artificial intelligence systems are designed to plan, reason, and utilize tools to achieve specific goals within established parameters. This instructor-led, live training (available online or on-site) is targeted at intermediate-level healthcare and data teams who aim to design, evaluate, and govern agentic AI solutions for both clinical and operational applications. The training aligns with the needs of public sector workflows, governance, and accountability for government agencies. By the end of this training, participants will be able to: - Explain the principles and constraints of agentic AI in healthcare contexts. - Design safe agent workflows that incorporate planning, memory, and tool usage. - Develop retrieval-augmented agents using clinical documents and knowledge bases. - Evaluate, monitor, and govern agent behavior through the use of guardrails and human-in-the-loop controls. **Format of the Course** - Interactive lectures and facilitated discussions. - Guided labs and code walkthroughs in a secure sandbox environment. - Scenario-based exercises focused on safety, evaluation, and governance. **Course Customization Options** - To request a customized training for government agencies or other organizations, please contact us to arrange.

WrenAI is an AI-driven analytics platform designed to integrate data, model insights, and generate dashboards. In enterprise settings, robust governance and security are essential to ensuring safe and compliant adoption. This instructor-led, live training (available online or onsite) is tailored for advanced-level professionals in the public sector who wish to implement governance, compliance, and security protocols 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 to ensure compliance. - Set up secure environments with enterprise-level controls. - Safely roll out WrenAI across large organizations. **Format of the Course** - Interactive lecture and discussion. - Hands-on labs focused on governance and security configurations. - Practical exercises simulating enterprise rollout scenarios. **Course Customization Options for Government** - To request a customized training for this course, please contact us to arrange.

This instructor-led, live training (offered online or onsite) is designed for intermediate-level AI developers and automation specialists who aim to integrate agentic capabilities into AI-powered applications for government. By the end of this training, participants will be able to: - Understand the principles of agentic AI and autonomous decision-making. - Implement goal-driven AI agents with self-optimization techniques. - Integrate multi-agent collaboration for complex problem-solving. - Enhance AI-human interaction through adaptive user experiences. - Deploy agentic AI models in real-world applications, ensuring alignment with public sector workflows and governance.

WrenAI Spreadsheets and Metrics Library facilitate rapid reporting through AI-driven spreadsheet workflows and a comprehensive library of pre-built, cross-platform business metrics. This instructor-led, live training (online or onsite) is designed for government operations professionals at the beginner to intermediate level who wish to expedite their reporting and analysis processes using WrenAI Spreadsheets and the Metrics Library. By the end of this training, participants will be able to: - Construct AI-powered spreadsheets for data analysis and reporting. - Utilize the WrenAI Metrics Library to implement standardized KPIs. - Integrate spreadsheets with various data sources for real-time updates. - Develop automated workflows to enhance operational reporting efficiency. **Format of the Course** - Interactive lecture and discussion. - Hands-on spreadsheet creation using WrenAI. - Practical exercises focused on metrics and KPI reporting. **Course Customization Options** - To request a customized training for government, please contact us to arrange.

This instructor-led, live training (available online or onsite) is designed for advanced-level professionals who seek to develop and optimize multi-agent systems using Agentic AI frameworks. By the end of this training, participants will be able to: - Understand the principles of Agentic AI in multi-agent environments. - Develop AI-driven agents capable of autonomous interaction. - Implement reinforcement learning techniques to enhance adaptive AI behavior. - Optimize collaboration and competition among multiple agents. - Apply Agentic AI solutions in areas such as robotics, gaming, and enterprise automation for government.

The WrenAI API is a robust interface designed for generating SQL queries from natural language, building custom applications, and integrating charts into internal platforms for government. This instructor-led, live training (available online or onsite) is targeted at intermediate-level engineers who wish to leverage the WrenAI API for practical applications, including SQL generation, data visualization, and application integration. By the end of this training, participants will be able to: - Authenticate and connect 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 for government. **Format of the Course** - Interactive lecture and discussion. - Hands-on exercises with API calls and integrations. - Practical projects connecting apps, charts, and data pipelines. **Course Customization Options** - To request a customized training for this course, please contact us to arrange.

This instructor-led, live training (conducted online or on-site) is designed for advanced-level professionals who aim to leverage Agentic AI for enterprise-scale automation and strategic AI adoption for government. By the end of this training, participants will be able to: - Understand the role of Agentic AI in enterprise applications. - Integrate autonomous AI agents with existing enterprise systems. - Optimize AI-driven workflows for scalability and efficiency. - Ensure compliance, security, and governance in AI automation for government. - Develop AI-driven business strategies for digital transformation.

WrenAI Cloud is a contemporary platform designed for connecting data sources, modeling data, and constructing interactive dashboards. This instructor-led, live training (available online or on-site) is tailored for beginner to intermediate-level data professionals who are interested in learning how to set up WrenAI Cloud, model data, and visualize insights through 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 modeling. - Practical exercises in dashboard building and visualization. **Course Customization Options** - To request a customized training for government or other specific needs, please contact us to arrange.

This instructor-led, live training (available online or onsite) is designed for advanced-level professionals who seek to utilize Agentic AI for decision-making in complex business and technical scenarios. By the end of this training, participants will be able to: - Comprehend the principles of autonomous decision-making in artificial intelligence. - Develop and deploy AI agents that function with minimal human oversight. - Incorporate Agentic AI into automation workflows and business systems for government. - Enhance AI-driven decision processes for greater efficiency and scalability. - Address compliance, security, and ethical considerations in AI autonomy.

WrenAI is an open-source generative business intelligence tool that facilitates the conversion of natural language queries into SQL and supports semantic data modeling. This instructor-led, live training (available online or on-site) is designed for advanced-level data engineers, analytics engineers, and machine learning engineers who aim to build robust semantic layers, refine prompts, and ensure reliable SQL generation. By the end of this training, participants will be able to: - Implement semantic models to ensure consistent metric definitions across teams. - Optimize text-to-SQL performance for accuracy and scalability. - Configure and enforce guardrails to prevent invalid or risky queries. - Integrate WrenAI open-source software into data pipelines and analytics workflows for government. **Format of the Course** - Interactive lecture and discussion. - Extensive exercises and practice sessions. - Hands-on implementation in a live-lab environment. **Course Customization Options** - To request a customized training for this course, please contact us to arrange.

This instructor-led, live training (online or onsite) is aimed at intermediate-level AI engineers, machine learning researchers, and developers who wish to build and implement Agentic AI systems for government applications. By the end of this training, participants will be able to: - Understand the core principles of Agentic AI systems. - Implement AI agents capable of autonomous reasoning and action. - Integrate Agentic AI with APIs and third-party services. - Optimize multi-agent interactions for complex tasks. - Address ethical, security, and scalability challenges in Agentic AI for government use.

WrenAI enables SaaS providers to embed generative business intelligence (GenBI) directly into customer-facing products. This course equips SaaS teams with the skills necessary to integrate Wren AI through its Embedded API, configure white-label analytics, and manage multi-tenant deployments. This instructor-led, live training (available online or onsite) is designed for intermediate-level to advanced-level SaaS product leaders, data engineers, and full-stack developers who are interested in deploying WrenAI as an embedded analytics solution in SaaS environments. By the end 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 government or other specific needs, please contact us to arrange.

This instructor-led, live training (online or onsite) is designed for government professionals at a beginner level who wish to understand the fundamental principles of Agentic AI, its capabilities, and its potential impact on various sectors. By the end of this training, participants will be able to: - Comprehend the core principles of Agentic AI. - Distinguish between traditional AI and autonomous AI agents. - Examine real-world applications of Agentic AI across different industries. - Evaluate the benefits and challenges associated with deploying autonomous AI systems for government use. - Analyze the ethical and security considerations surrounding Agentic AI.

WrenAI is a conversational analytics platform designed to translate natural language queries into reliable data insights, enabling non-technical teams to generate and interpret analytics quickly and consistently. This instructor-led, live training (available online or on-site) is aimed at intermediate-level product managers, analysts, and data champions who wish to adopt conversational analytics and build self-service business intelligence capabilities with WrenAI. By the end of this training, participants will be able to: - Design conversational analytics workflows that provide reliable insights into products. - Create and maintain a standardized metrics layer for consistent reporting. - Utilize natural-language-to-SQL features effectively to answer product-related questions. - Embed WrenAI-driven self-service dashboards and guardrails in product workflows. **Format of the Course** - Interactive lectures and discussions. - Hands-on labs using WrenAI and sample datasets. - Workshop: Build a self-service dashboard and conversational query set. **Course Customization Options for Government** To request a customized training program tailored to specific needs, please contact us to arrange.