Online or onsite, instructor-led live Agentic AI training courses demonstrate through interactive hands-on practice how to use autonomous decision-making systems to automate tasks, make data-driven decisions, and optimize business processes.
Agentic AI training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Agentic AI training can be carried out locally on customer premises in Sofia or in NobleProg corporate training centers in Sofia.
NobleProg -- Your Local Training Provider
Crystal Business Center
ул. "Осогово" 40, Sofia, Bulgaria, 1303
Crystal Business Center is located in the central part of Sofia, on the corner of "Osogovo" street. and "Todor Aleksandrov" blvd. The building is easily accessible by metro (only 50 m from Opalchenska station) and other public transport. Its total area is 8000 sq.m. The office area is 6171 sq.m.
Generative AI and Agentic AI represent two powerful paradigms driving the next wave of automation and intelligence—one focused on content creation and the other on goal-oriented, autonomous behavior.
This instructor-led, live training (available online or onsite) is designed for intermediate-level AI and technical professionals who want to understand how to build, evaluate, and integrate generative and agentic AI into real-world applications.
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 how they extend LLMs.
Use 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, please contact us to arrange.
Agentic AI represents a new category of systems designed to make autonomous decisions, execute tasks, and orchestrate workflows.
This instructor-led training, available either online or onsite, targets intermediate professionals eager to grasp how agentic AI will transform organizational workflows, talent strategies, and job design.
After completing the course, participants will be equipped to:
Assess the strengths and limitations of agentic AI within enterprise environments.
Pinpoint opportunities for automating, enhancing, and redesigning tasks.
Evaluate workforce impacts and formulate responsible adoption strategies.
Design governance frameworks to ensure safe, transparent, and compliant AI implementation.
Course Format
Interactive lectures and discussions.
Practical exercises and scenario-based analysis.
Guided, hands-on exploration of agentic workflows.
Customization Options
For customized training arrangements, please reach out to us.
The Hands-On Agentic AI Bootcamp is an immersive, project-centric program designed to equip participants with practical skills in creating, building, and deploying autonomous AI agents using Python. Through five increasingly complex projects, attendees will explore agentic design patterns, prompt workflows, API orchestration, and real-world integration scenarios.
This instructor-led, live training (available online or onsite) targets intermediate-level professionals eager to bridge the gap between theory and implementation by developing functional agentic AI application prototypes.
Upon completion of this training, participants will be able to:
Grasp agentic AI architectures and core 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 enhanced performance and reliability.
Apply best practices for monitoring, versioning, and scaling agent systems.
Course Format
Interactive lectures combined with guided coding sessions.
Hands-on project development and debugging exercises.
Live demonstration of end-to-end agent deployment.
Course Customization Options
To request customized training for this course, please contact us to arrange.
Edge & Lightweight Agents is a hands-on course designed for deploying agentic AI workloads on devices with limited resources. Learners will acquire the skills to construct, optimize, and oversee lightweight agents capable of performing local reasoning and inference, thereby enhancing speed, privacy, and reliability within distributed systems. The curriculum highlights performance tuning, low-latency design strategies, and the integration of hardware and software.
This instructor-led, live training (available online or onsite) is tailored for intermediate-level professionals aiming to implement and optimize on-device agentic systems using Python and edge AI frameworks.
Upon completion of this training, participants will be capable of:
Understanding the architecture and challenges associated with running agentic AI on edge devices.
Designing lightweight agent loops that are suitable for constrained environments.
Implementing local inference using TensorFlow Lite, PyTorch Mobile, and ONNX.
Integrating agents with sensors, actuators, and IoT platforms.
Optimizing performance, energy consumption, and latency for real-time operations.
Format of the Course
Interactive lectures combined with practical demonstrations.
Hands-on development within local or emulated environments.
Project-based learning supported by guided implementation exercises.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Agentic AI encompasses systems capable of autonomous action to achieve specific objectives by integrating reasoning, memory, and tool utilization. This course offers a structured introduction to the fundamental concepts of agentic AI, emphasizing prompt engineering, architectural design patterns, and practices for responsible deployment. Participants will acquire the essential knowledge required to build, guide, and deploy agents effectively and securely.
This instructor-led, live training (available online or onsite) is designed for professionals at beginner to intermediate levels who aim to understand how to design, prompt, and manage responsible agentic systems using practical frameworks and real-world examples.
Upon completion of this training, participants will be able to:
Articulate the core principles and lifecycle of agentic AI systems.
Apply prompt engineering techniques to ensure effective task execution.
Design basic agent workflows utilizing tool access and decision logic.
Implement safety, governance, and responsible-use principles within AI agents.
Construct a prototype agent using open frameworks and Python.
Format of the Course
Interactive lectures combined with guided demonstrations.
Practical exercises and coding practice.
Collaborative discussions and case-based activities.
Course Customization Options
To request customized training for this course, please contact us to arrange.
Agentic AI for Business Automation is an interactive course aimed at equipping participants with the skills to design, integrate, and scale AI-driven agents for real-world business processes. The curriculum focuses on mapping automation opportunities, integrating tools, and building practical use cases across customer service, supply chain, and marketing workflows.
This instructor-led, live training (available online or onsite) is targeted at intermediate-level professionals who wish to implement AI-powered automation using no-code, low-code, and Python-based approaches.
Upon completion 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.
This course delves into the design, coordination, and implementation of multi-agent systems (MAS) using Python. Participants will gain insights into constructing agents that communicate, collaborate, and adapt to achieve shared objectives within complex, dynamic environments.
This instructor-led, live training (available online or onsite) is tailored for advanced-level professionals seeking to design and implement multi-agent systems for intelligent automation, simulation, and decision-making applications.
Upon completion of this training, participants will be able to:
Comprehend the architecture and fundamental principles of multi-agent systems.
Develop agents capable of communication, coordination, and negotiation.
Implement distributed environments for agent interactions.
Apply reinforcement learning and planning techniques in multi-agent contexts.
Simulate cooperative and competitive agent behaviors.
Design hybrid workflows that integrate humans and intelligent agents.
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 this course, please contact us to arrange.
This course delves into the principles and practical implementation of reinforcement learning (RL) and sequential decision-making within agentic AI systems. Participants will acquire the skills to design, train, and evaluate agents that dynamically interact with their environments, achieving long-term objectives through continuous learning and adaptation.
Delivered by an instructor, this live training is available both online and onsite. It is specifically tailored for advanced-level engineers and researchers seeking to integrate reinforcement learning and planning algorithms into agentic systems for applications in automation, robotics, and adaptive reasoning.
Upon completion of this training, participants will be capable of:
Grasping the mathematical foundations underlying reinforcement learning and decision-making.
Implementing core RL algorithms, including DQN, PPO, and A3C, utilizing Python and PyTorch.
Modeling environments with OpenAI Gym and creating custom simulation scenarios.
Training, evaluating, and debugging agents for both continuous and discrete control tasks.
Applying reinforcement learning techniques to agentic AI use cases in robotics and planning.
Balancing exploration, exploitation, and safety constraints during real-world deployment.
Format of the Course
Instructor-led lectures combined with live coding demonstrations.
Practical exercises utilizing open-source frameworks and simulation environments.
An applied project focused on 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 program focuses on scaling, operationalizing, and managing agentic AI systems in production environments, emphasizing 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.
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 empowers organizations to transition from static dashboards to conversational analytics and embedded generative BI. This shift demands strategic adoption planning, seamless asset migration, and robust change management practices.
This instructor-led live training (available online or onsite) targets intermediate BI and data platform professionals seeking to modernize their legacy BI systems using WrenAI.
Upon completing this training, participants will be capable of:
Assessing legacy BI environments to pinpoint modernization opportunities.
Strategically planning and executing the migration from static dashboards to WrenAI.
Implementing conversational analytics and embedded GenBI functionalities.
Leading organizational change management initiatives 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
For tailored training solutions, please reach out to us to arrange a schedule.
This course delves into governance, identity management, and adversarial testing for agentic AI systems, with a focus on enterprise-safe deployment patterns and practical red-teaming techniques.
Delivered as instructor-led live training (available online or onsite), this program is designed for advanced practitioners looking to design, secure, and evaluate agent-based AI systems within production environments.
Upon completion of this training, participants will be equipped to:
Establish governance models and policies to ensure safe agentic AI deployments.
Architect non-human identity and authentication workflows for agents, enforcing least-privilege access.
Implement tailored access controls, audit trails, and observability mechanisms for autonomous agents.
Plan and execute red-team exercises to uncover misuses, escalation paths, and data exfiltration risks.
Mitigate common threats to agentic systems through policy enforcement, engineering controls, and monitoring.
Course Format
Interactive lectures combined with threat-modeling workshops.
Hands-on labs covering identity provisioning, policy enforcement, and adversary simulation.
Red-team/blue-team exercises followed by an end-of-course assessment.
Course Customization Options
To request a customized training session for this course, please contact us to arrange.
Python serves as the foundational language for developing and orchestrating autonomous AI agents. This course emphasizes practical implementation through modern SDKs and frameworks, such as LangChain and AutoGen, to build, link, and manage agent workflows effectively.
Delivered by an instructor in either online or onsite format, this training is designed for intermediate-level backend, platform, and ML engineers aiming to implement and orchestrate autonomous agents using Python tooling and APIs.
Upon completion of this training, participants will be able to:
Configure Python-based environments tailored for agentic systems.
Utilize leading agent SDKs, including LangChain and AutoGen, to develop functional agents.
Integrate tools and APIs to enhance agent capabilities.
Orchestrate multi-agent workflows and establish communication patterns.
Implement best practices for debugging, testing, and maintaining codebases related to agents.
Course Format
Interactive lectures and discussions.
Hands-on programming exercises and live demonstrations.
Practical projects focused on building end-to-end agent workflows.
Customization Options
To request a customized training session for this course, please contact us to arrange details.
WrenAI empowers finance teams to model key performance indicators (KPIs), integrate standardized metrics, and construct dashboards that adhere to regulatory requirements and audit standards.
This instructor-led live training, available either online or onsite, targets intermediate to advanced finance professionals seeking to leverage WrenAI for creating compliant financial data models and dashboards that facilitate decision-making and risk management.
Upon completion of this training, participants will be capable of:
Modeling financial KPIs and metrics within WrenAI.
Developing dashboards that align with regulatory and audit mandates.
Integrating WrenAI with financial data sources to enable real-time reporting.
Implementing best practices for financial analytics and risk monitoring.
Course Format
Interactive lectures and discussions.
Practical exercises involving financial data models.
Hands-on labs focused on dashboard design and compliance reporting.
Customization Options
For organizations interested in tailored training for this course, please reach out to us to arrange a customized session.
This course provides practical engineering methodologies for designing, building, testing, and deploying autonomous (agentic) systems using Python. It explores key topics such as the agent loop, tool integrations, memory and state management, orchestration patterns, safety mechanisms, and considerations for production environments.
Offered as an instructor-led live training session (available online or on-site), this program is designed for intermediate to advanced ML engineers, AI developers, and software engineers seeking to construct robust, production-grade autonomous agents using Python.
Upon completion of this training, participants will be capable of:
Designing and implementing agent loops and decision-making workflows.
Integrating external tools and APIs to enhance agent functionalities.
Developing short-term and long-term memory structures for agents.
Coordinating multi-step orchestrations and ensuring agent composability.
Applying best practices for safety, access control, and observability in deployed agents.
Course Format
Interactive lectures and discussions.
Hands-on labs focusing on building agents with Python and popular SDKs.
Project-based exercises resulting in deployable prototypes.
Customization Options
To request a customized training version of this course, please contact us to make arrangements.
WrenAI facilitates the conversion of natural language into SQL queries and provides AI-driven analytics, streamlining data access and enhancing its intuitiveness. For enterprise-level deployments, rigorous quality assurance and observability practices are critical to guaranteeing precision, dependability, and regulatory compliance.
This instructor-led, live training session (available online or on-site) is designed for advanced data and analytics professionals seeking to assess query accuracy, implement prompt optimization techniques, and establish observability protocols to monitor WrenAI in production environments.
Upon completion of this training, participants will be equipped to:
Assess the precision and reliability of Natural Language to SQL outputs.
Utilize prompt optimization strategies to enhance system performance.
Track deviations and query patterns over time.
Integrate WrenAI with logging and observability frameworks.
Training Structure
Interactive lectures and discussions.
Practical exercises focusing on evaluation and optimization techniques.
Hands-on labs dedicated to observability and monitoring integrations.
Customization Options
To arrange tailored training for this course, please get in touch with us.
Agentic AI refers to a methodology where artificial intelligence systems are capable of planning, reasoning, and utilizing tools to achieve specific objectives within established constraints.
This instructor-led, live training (available online or onsite) is designed for intermediate-level healthcare and data teams interested in creating, evaluating, and governing agentic AI solutions for clinical and operational scenarios.
Upon completing this training, participants will be equipped to:
Articulate the core concepts and limitations of agentic AI within healthcare environments.
WrenAI is an AI-driven analytics platform built to connect data, model insights, and generate dashboards. In enterprise settings, strong governance and security are essential for safe and compliant adoption.
This instructor-led, live training (available online or onsite) targets advanced-level enterprise professionals looking to implement governance, compliance, and security patterns 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 for compliance.
Set up secure environments with enterprise-level controls.
Roll out WrenAI safely across large organizations.
Course Format
Interactive lecture and discussion.
Hands-on labs with governance and security configurations.
This instructor-led, live training in Sofia (online or onsite) is aimed at intermediate-level AI developers and automation specialists who wish to integrate agentic capabilities into AI-powered applications.
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.
WrenAI Spreadsheets and Metrics Library facilitate rapid reporting by utilizing AI-driven spreadsheet workflows and a repository of pre-established, cross-platform business metrics.
This instructor-led live training, available online or on-site, is designed for operations professionals at beginner to intermediate levels who aim to speed up their reporting and analysis processes using WrenAI Spreadsheets alongside the Metrics Library.
Upon completion of this training, participants will be equipped to:
Construct AI-enhanced spreadsheets tailored for data analysis and reporting.
Utilize the WrenAI Metrics Library to implement standardized Key Performance Indicators (KPIs).
Link spreadsheets with various data sources to ensure real-time updates.
Develop automated workflows to streamline operational reporting efforts.
Format of the Course
Interactive lectures and discussions.
Practical, hands-on experience building spreadsheets with WrenAI.
Practical exercises focused on metrics and KPI reporting.
Course Customization Options
To request a customized training version of this course, please contact us to arrange it.
This live, instructor-led training in Sofia (online or in-person) targets advanced professionals seeking to develop and optimize multi-agent systems through Agentic AI frameworks.
Upon completing this course, participants will gain the ability to:
Grasp the foundational principles of Agentic AI within multi-agent contexts.
Create AI-driven agents capable of autonomous interaction.
Utilize reinforcement learning to foster adaptive AI behaviors.
Enhance both collaboration and competition among multiple agents.
Deploy Agentic AI solutions in robotics, gaming, and enterprise automation.
The WrenAI API serves as a robust interface for converting natural language into SQL queries, developing custom applications, and embedding charts within internal platforms.
This instructor-led, live training session, available online or on-site, is designed for intermediate-level engineers looking to leverage the WrenAI API for practical use cases, such as SQL generation, data visualization, and application integration.
Upon completing this training, participants will be capable of:
Authenticating and linking applications to the WrenAI API.
Creating SQL queries from natural language inputs.
Creating and embedding visualizations via API endpoints.
Integrating WrenAI into backend systems and internal tools.
Course Format
Interactive lectures and discussions.
Practical exercises involving API calls and integrations.
Hands-on projects connecting applications, visualizations, and data pipelines.
Customization Options
To request a tailored training session for this course, please contact us to arrange it.
This instructor-led, live training in Sofia (online or onsite) is designed for advanced-level professionals looking 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 in enterprise applications.
Integrate autonomous AI agents with enterprise systems.
Optimize AI-driven workflows for scalability and efficiency.
Ensure compliance, security, and governance in AI automation.
Develop AI-driven business strategies for digital transformation.
WrenAI Cloud is a contemporary platform designed for linking data sources, modeling data, and constructing interactive dashboards.
This instructor-led, live training (available online or onsite) is designed for beginner to intermediate data professionals seeking to master setting up WrenAI Cloud, modeling data, and visualizing insights via dashboards.
Upon completion of this training, participants will be able to:
Set up and configure WrenAI Cloud environments.
Connect WrenAI Cloud to various data sources.
Model data and establish 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 this course, please contact us to arrange.
This instructor-led, live training in Sofia (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.
WrenAI is an open-source generative business intelligence (BI) tool that facilitates the conversion of natural language into SQL queries 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 construct robust semantic layers, refine prompts, and guarantee reliable SQL generation.
Upon completion of this training, participants will be capable of:
Implementing semantic models to ensure consistent metric definitions across various teams.
Enhancing text-to-SQL performance to achieve higher accuracy and scalability.
Configuring and enforcing safety guardrails to prevent invalid or hazardous queries.
Seamlessly integrating WrenAI OSS into data pipelines and analytics workflows.
Course Format
Interactive lectures and discussions.
Extensive exercises and practical application.
Hands-on implementation within a live laboratory environment.
Customization Options
For those interested in a customized training session for this course, please contact us to arrange it.
This instructor-led live training conducted in Sofia (online or on-site) is tailored for intermediate-level AI engineers, ML researchers, and developers who aim to build and implement Agentic AI systems for real-world use cases.
By the conclusion of this training, participants will be able to:
Comprehend 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.
WrenAI empowers SaaS providers to seamlessly embed generative business intelligence (GenBI) directly within their customer-facing products. This training program equips SaaS teams with the essential skills to integrate Wren AI via its Embedded API, configure white-label analytics solutions, and manage complex multi-tenant environments effectively.
This instructor-led, live training (available online or on-site) is designed for intermediate to advanced SaaS product leaders, data engineers, and full-stack developers who aim to implement WrenAI as an embedded analytics solution within SaaS ecosystems.
Upon completion of this training, participants will be able to:
Integrate WrenAI using the Embedded API for applications used by customers.
Implement white-label conversational BI with tailored branding and customization.
Architect secure and scalable multi-tenant deployments.
Monitor usage patterns, optimize performance, and ensure regulatory compliance within SaaS environments.
Course Format
Interactive lectures and group discussions.
Practical labs utilizing the WrenAI Embedded API.
Workshop: Design and deploy a white-label analytics feature tailored to a specific SaaS use case.
Course Customization Options
To arrange customized training for this course, please contact us to discuss your specific needs.
This instructor-led, live training in Sofia (available online or on-site) is designed for beginner-level professionals eager to understand the core principles, capabilities, and industrial impact of Agentic AI.
Upon completion of this training, participants will be equipped to:
Comprehend the foundational principles of Agentic AI.
Distinguish between conventional AI and autonomous AI agents.
Examine practical applications of Agentic AI across diverse industries.
Evaluate the advantages and obstacles associated with deploying autonomous AI systems.
Analyze ethical and security implications surrounding Agentic AI.
WrenAI is a conversational analytics platform that translates natural-language queries into reliable analytics, enabling non-technical teams to generate insights quickly and consistently.
This instructor-led, live training (online or onsite) is aimed at intermediate-level product managers, analysts, and data champions who wish to adopt conversational analytics and build self-service BI capabilities with WrenAI.
By the end of this training, participants will be able to:
Design conversational analytics workflows that surface reliable product insights.
Create and maintain a standardized metrics layer for consistent reporting.
Use natural-language to SQL features effectively to answer product questions.
Embed WrenAI-driven self-service dashboards and guardrails in product workflows.
Format of the Course
Interactive lecture and discussion.
Hands-on labs with Wren AI and sample datasets.
Workshop: build a self-service dashboard and conversational query set.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
AI agents are transitioning from research prototypes to autonomous production systems that operate across text, image, speech, and tool-based workflows. This shift demands higher standards for engineering rigor, resilience against adversarial attacks, and regulatory accountability. This instructor-led program guides experienced professionals through the entire agent lifecycle, covering everything from designing single and multi-agent architectures to integrating multi-modal perception and coordinating agent behaviors via modern frameworks. Through progressive Python-based labs, participants develop a production-ready multi-agent system, which they then stress-test using adversarial techniques and the Adversarial Robustness Toolbox. The course concludes with a focus on alignment with NIST AI RMF, ISO/IEC 42001, the EU AI Act, and GDPR, alongside secure deployment, monitoring, and incident response strategies, ensuring participants can deliver agents that are capable, defensible, and compliant.
This instructor-led, live training in Sofia (online or onsite) targets beginner to intermediate developers and cloud practitioners who intend to utilize Alibaba Cloud to build AI agents capable of automating tasks, answering queries, and integrating with business systems.
By the end of this training, participants will be able to: comprehend the architecture of AI agents on Alibaba Cloud, construct a basic agent workflow, link an agent to enterprise knowledge bases and tools, and deploy and monitor the agent within a cloud environment.
Read more...
Last Updated:
Testimonials (4)
The trainer is patient and very helpful. He knows the topic well.
CLIFFORD TABARES - Universal Leaf Philippines, Inc.
Course - Agentic AI for Business Automation: Use Cases & Integration
Good mixvof knowledge and practice
Ion Mironescu - Facultatea S.A.I.A.P.M.
Course - Agentic AI for Enterprise Applications
The mix of theory and practice and of high level and low level perspectives
Ion Mironescu - Facultatea S.A.I.A.P.M.
Course - Autonomous Decision-Making with Agentic AI
Online Agentic AI training in Sofia, Agentic AI training courses in Sofia, Weekend Agentic AI courses in Sofia, Evening Agentic AI training in Sofia, Agentic AI instructor-led in Sofia, Agentic AI instructor in Sofia, Evening Agentic AI courses in Sofia, Online Agentic AI training in Sofia, Agentic AI one on one training in Sofia, Agentic AI private courses in Sofia, Agentic AI trainer in Sofia, Agentic AI classes in Sofia, Agentic AI on-site in Sofia, Weekend Agentic AI training in Sofia, Agentic AI coaching in Sofia, Agentic AI boot camp in Sofia, Agentic AI instructor-led in Sofia
