Enhancing AI Agents with Agentic Capabilities Training Course
Agentic AI elevates conventional AI agents by facilitating adaptive decision-making, autonomous goal-setting, and self-improving behavior.
This instructor-led, live training (available online or onsite) targets intermediate-level AI developers and automation specialists who aim to integrate agentic capabilities into AI-powered applications.
Upon completion of this training, participants will be able to:
- Grasp the core principles of agentic AI and autonomous decision-making.
- Develop goal-driven AI agents utilizing self-optimization techniques.
- Facilitate multi-agent collaboration for complex problem-solving scenarios.
- Improve AI-human interaction through adaptive user experiences.
- Deploy agentic AI models in real-world applications.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practical practice.
- Hands-on implementation in a live-lab environment.
Customization Options
- To request a customized training session for this course, please contact us to arrange.
Course Outline
Introduction to Agentic AI
- Defining agentic capabilities in AI
- Key differences between traditional and agentic AI agents
- Use cases of agentic AI in various industries
Developing Goal-Driven AI Agents
- Understanding autonomous goal-setting and prioritization
- Implementing reinforcement learning for self-improvement
- Fine-tuning AI agent behaviors based on feedback loops
Multi-Agent Collaboration and Coordination
- Building AI agents that collaborate and communicate
- Task delegation and role assignment in agentic systems
- Real-world examples of multi-agent teamwork
Adaptive AI-Human Interaction
- Personalizing AI responses based on user behavior
- Context-awareness and dynamic decision-making
- Designing UX for intelligent and responsive AI agents
Deploying Agentic AI in Applications
- Integrating agentic AI with APIs and third-party tools
- Ensuring scalability and efficiency in AI deployments
- Case studies on successful agentic AI implementations
Ethical Considerations and Challenges
- Balancing autonomy with control in AI agents
- Addressing AI biases and ethical concerns
- Regulatory frameworks for autonomous AI systems
Future Trends in Agentic AI
- Emerging advancements in AI autonomy
- Expanding agentic capabilities with new technologies
- Predictions for AI-driven automation and decision-making
Summary and Next Steps
Requirements
- Fundamental knowledge of AI agents and automation
- Proficiency in Python programming
- Understanding of API-based AI integrations
Target Audience
- AI developers working on autonomous systems
- Automation engineers optimizing AI-driven workflows
- UX designers enhancing human-agent interactions
Open Training Courses require 5+ participants.
Enhancing AI Agents with Agentic Capabilities Training Course - Booking
Enhancing AI Agents with Agentic Capabilities Training Course - Enquiry
Enhancing AI Agents with Agentic Capabilities - Consultancy Enquiry
Upcoming Courses
Related Courses
Agentic Development with Gemini 3 and Google Antigravity
21 HoursGoogle Antigravity is an agentic development environment designed to build autonomous agents capable of planning, reasoning, coding, and acting through Gemini 3’s multimodal capabilities.
This instructor-led, live training (online or onsite) is aimed at advanced-level technical professionals who wish to design, build, and deploy autonomous agents using Gemini 3 and the Antigravity environment.
Upon finishing this training, participants will be prepared to:
- Build autonomous workflows that use Gemini 3 for reasoning, planning, and execution.
- Develop agents in Antigravity that can analyze tasks, write code, and interact with tools.
- Integrate Gemini-driven agents with enterprise systems and APIs.
- Optimize agent behavior, safety, and reliability in complex environments.
Format of the Course
- Expert demonstrations combined with interactive discussions.
- Hands-on experimentation with autonomous agent development.
- Practical implementation using Antigravity, Gemini 3, and supporting cloud tools.
Course Customization Options
- If your team requires domain-specific agent behaviors or custom integrations, please contact us to tailor the program.
Advanced Antigravity: Feedback Loops, Learning & Long-Term Agent Memory
14 HoursGoogle Antigravity is an advanced framework designed for experimenting with long-lived agents and emergent interactive behaviors.
This instructor-led training session, available online or onsite, is tailored for advanced professionals who aim to design, analyze, and optimize agents capable of retaining memories, improving through feedback, and evolving over extended operational periods.
Upon completion of this course, participants will acquire the skills to:
- Design memory structures for agent persistence.
- Implement effective feedback loops to shape agent behavior.
- Evaluate learning trajectories and model drift.
- Integrate memory mechanisms into complex multi-agent ecosystems.
Course Format
- Expert-led discussion combined with technical demonstrations.
- Hands-on exploration through structured design challenges.
- Application of concepts to simulated agent environments.
Customization Options
- If your organization requires tailored content or case-specific examples, please contact us to customize this training.
Antigravity for Developers: Building Agent-First Applications
21 HoursAntigravity is a development platform designed to build AI-driven, agent-first applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level developers who wish to create real-world applications using autonomous AI agents within the Antigravity environment.
After completing this training, participants will be equipped to:
- Develop applications that rely on autonomous and coordinated AI agents.
- Use the Antigravity IDE, editor, terminal, and browser for end-to-end development.
- Manage multi-agent workflows with the Agent Manager.
- Integrate agent capabilities into production-grade software systems.
Format of the Course
- Blended presentations with in-depth demonstrations.
- Extensive hands-on practice and guided exercises.
- Real implementation work inside the Antigravity live environment.
Course Customization Options
- For tailored content aligned with your development stack, please contact us to arrange a customized version of this training.
Getting Started with Antigravity: An Introduction to Agent-First IDEs
14 HoursGoogle Antigravity is an agent-centric development environment designed to streamline engineering workflows through intelligent automation.
This instructor-led, live training (available online or onsite) is designed for beginner-level practitioners who wish to explore the fundamentals of Antigravity and understand how agent-driven coding environments enhance productivity.
Upon completing this training, participants will be able to:
- Install and configure Google Antigravity.
- Navigate and understand both the Editor View and Manager View.
- Work effectively with agents to automate simple development tasks.
- Use Antigravity to generate, refine, and manage project files.
Course Format
- Instructor explanations supported by real-time demonstrations.
- Guided exercises focused on hands-on use of agents.
- Practical exploration of core Antigravity features in a controlled lab environment.
Course Customization Options
- If you require a tailored version of this training, please contact us to arrange a customized program.
Antigravity for Web Automation & Browser-Based Tasks
21 HoursGoogle Antigravity serves as a platform designed for constructing agents that can interact with web applications, browser environments, and multi-surface workflows.
This instructor-led live training, available either online or onsite, is tailored for intermediate-level professionals who want to build, automate, and test browser-based workflows using Google Antigravity.
After completing the training, participants will be able to:
- Create agents that interact with web applications within a browser interface.
- Automate end-to-end workflows across different browser contexts.
- Validate and troubleshoot agent behavior in UI-driven environments.
- Implement cross-surface automation strategies using Antigravity.
Course Format
- Guided instruction supported by demonstrations.
- Practical, hands-on activities and scenario-based exercises.
- Implementation of agent workflows in an interactive lab environment.
Course Customization Options
- For customized training requirements, please contact us to tailor the course to your objectives.
Governance and Security Patterns for WrenAI in the Enterprise
14 HoursWrenAI is an AI-driven analytics platform that connects data, models insights, and generates dashboards. In enterprise settings, strong governance and security measures are essential to ensure safe and compliant adoption.
This instructor-led, live training (available online or onsite) is designed for advanced-level enterprise professionals looking to implement governance, compliance, and security patterns for WrenAI at scale.
Upon completion 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.
Modernizing Legacy BI with WrenAI: Adoption, Migration, and Change Management
14 HoursWrenAI empowers organizations to transcend static dashboards, embracing conversational analytics and embedded generative BI. Successfully navigating this transition demands thoughtful adoption planning, 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.
- Strategize and execute the migration from static dashboards to WrenAI.
- Implement conversational analytics and embedded GenBI capabilities.
- Drive organizational change management efforts for BI modernization.
Course Format
- Interactive lectures and discussions.
- Practical exercises focused on migration and adoption planning.
- Hands-on labs covering conversational analytics and embedded GenBI.
Customization Options
- To arrange a customized training session for this course, please contact us.
Quality and Observability for WrenAI: Evaluation, Prompt Tuning, and Monitoring
14 HoursWrenAI facilitates the conversion of natural language into SQL queries, empowering analytics with artificial intelligence to make data access more intuitive and rapid. To meet enterprise-grade standards, implementing rigorous quality assurance and observability practices is crucial for guaranteeing accuracy, reliability, and regulatory compliance.
This live, instructor-led training, available both online and onsite, is designed for advanced data and analytics professionals aiming to assess query accuracy, execute prompt tuning, and establish observability practices to monitor WrenAI in production environments.
Upon completing this training, participants will be capable of:
- Assessing the accuracy and reliability of natural language to SQL outputs.
- Implementing prompt tuning techniques to enhance system performance.
- Monitoring query behavior and detecting drift over time.
- Integrating WrenAI with logging and observability frameworks.
Course Format
- Interactive lectures and discussions.
- Practical exercises involving evaluation and tuning techniques.
- Hands-on labs focusing on observability and monitoring integrations.
Course Customization Options
- For a customized training version of this course, please reach out to us to make arrangements.
Building with the WrenAI API: Applications, Charts, and NL to SQL
14 HoursThe WrenAI API serves as a robust interface for generating SQL queries from natural language, developing custom applications, and embedding charts into internal platforms.
This instructor-led live training (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 completion of this training, participants will be able to:
- Authenticate and link applications to the WrenAI API.
- Generate SQL queries based on natural language inputs.
- Create and embed charts utilizing 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 applications, charts, and data pipelines.
Course Customization Options
- To request a customized training session for this course, please contact us to make arrangements.
WrenAI Cloud Essentials: From Data Sources to Dashboards
14 HoursWrenAI Cloud serves as a contemporary platform designed to facilitate the connection of data sources, the modeling of data, and the creation of interactive dashboards.
Delivered as an instructor-led, live session (available online or on-site), this training targets beginner to intermediate-level data professionals seeking to master the setup of WrenAI Cloud, data modeling techniques, and the visualization of insights within dashboards.
Upon completing this training, participants will be equipped to:
- Establish and configure WrenAI Cloud environments.
- Integrate WrenAI Cloud with various data sources.
- Model data and define relationships to support analytics.
- Develop interactive dashboards to drive business insights.
Course Format
- Engaging lectures paired with open discussion.
- Practical, hands-on experience with cloud platform configuration and data modeling.
- Applied exercises focused on building dashboards and visualizing data.
Customization Options
- For those interested in tailored training for this course, please reach out to us to make arrangements.
WrenAI for Financial Analytics: KPI Modeling and Regulatory-Aware Dashboards
14 HoursWrenAI empowers finance teams to model KPIs, standardize metrics, and create dashboards that align with regulatory requirements and audit standards.
This instructor-led live training (available online or onsite) targets intermediate to advanced finance professionals seeking to use WrenAI for building compliant financial data models and dashboards that support decision-making and risk management.
Upon completing this training, participants will be able to:
- Model financial KPIs and metrics within WrenAI.
- Build dashboards that meet regulatory and audit standards.
- Integrate WrenAI with financial data sources for real-time reporting.
- Apply best practices for financial analytics and risk monitoring.
Course Format
- Interactive lectures and discussions.
- Hands-on exercises with financial data models.
- Practical labs focused on dashboard design and compliance reporting.
Customization Options
- To request 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 tool that facilitates the conversion of natural language into SQL and supports semantic data modeling.
This instructor-led live training, available online or on-site, is designed for advanced data engineers, analytics engineers, and machine learning engineers who aim to build robust semantic layers, refine prompts, and ensure reliable SQL generation.
Upon completing this training, participants will be able to:
- Implement semantic models to ensure consistent metric definitions across teams.
- Optimize text-to-SQL performance for improved accuracy and scalability.
- Configure and enforce guardrails to prevent invalid or risky queries.
- Integrate WrenAI OSS into existing data pipelines and analytics workflows.
Course Format
- Interactive lectures and discussions.
- Numerous exercises and practical applications.
- Hands-on implementation within a live lab environment.
Course Customization Options
- To request a customized training session for this course, please contact us to make arrangements.
WrenAI for Product Teams: Conversational Analytics and Self-Service BI
14 HoursWrenAI serves as a conversational analytics platform that converts natural-language inquiries into dependable analytics, empowering non-technical teams to derive insights swiftly and consistently.
This instructor-led, live training (available online or onsite) targets intermediate-level product managers, analysts, and data champions seeking to implement conversational analytics and establish self-service BI capabilities using WrenAI.
Upon completion of this training, participants will be equipped to:
- Design conversational analytics workflows that deliver reliable product insights.
- Create and maintain a standardized metrics layer for uniform reporting.
- Effectively utilize natural-language to SQL features to address product-related questions.
- Integrate WrenAI-driven self-service dashboards and guardrails into product workflows.
Course Format
- Interactive lectures and discussions.
- Hands-on labs utilizing Wren AI and sample datasets.
- Workshop: Construct a self-service dashboard and a set of conversational queries.
Course Customization Options
- For inquiries regarding customized training for this course, please contact us to arrange.
Deploying WrenAI for SaaS: Embedded GenBI in Customer-Facing Products
14 HoursWrenAI empowers SaaS providers to seamlessly integrate generative business intelligence (GenBI) directly into their customer-facing applications. This course equips SaaS teams with the expertise to leverage the WrenAI Embedded API, configure white-label analytics solutions, and manage multi-tenant deployments effectively.
This instructor-led, live training (available online or onsite) is designed for intermediate to advanced-level SaaS product leaders, data engineers, and full-stack developers seeking to implement WrenAI as an embedded analytics solution within SaaS environments.
By the conclusion of this training, participants will be capable of:
- Integrating WrenAI via the Embedded API for customer-facing applications.
- Implementing white-label conversational BI with tailored branding and customization.
- Designing secure and scalable multi-tenant architectures.
- Monitoring usage, optimizing performance, and ensuring compliance within SaaS environments.
Course Format
- Interactive lectures and discussions.
- Hands-on labs utilizing the WrenAI Embedded API.
- Workshop: Design and deploy a white-label analytics feature for a specific SaaS use case.
Course Customization Options
- To request customized training for this course, please contact us to arrange.
Operational Analytics with WrenAI Spreadsheets and Metrics Library
14 HoursThe WrenAI Spreadsheets and Metrics Library facilitates rapid reporting by leveraging AI-driven spreadsheet workflows and a repository of pre-built, cross-platform business metrics.
This instructor-led, live training session (available online or onsite) is designed for beginner to intermediate-level operations professionals aiming to accelerate their reporting and analytical capabilities through the use of WrenAI Spreadsheets and the Metrics Library.
Upon completion of this training, participants will be able to:
- Develop AI-enhanced spreadsheets for data analysis and reporting.
- Utilize the WrenAI Metrics Library to establish standardized key performance indicators (KPIs).
- Link spreadsheets to various data sources to ensure real-time data updates.
- Design automated workflows to streamline operational reporting processes.
Course Format
- Interactive lectures and discussions.
- Practical, hands-on exercises for building spreadsheets using WrenAI.
- Applied exercises focused on metrics and KPI reporting.
Course Customization Options
- To arrange customized training for this course, please contact us directly.