Agentic AI Training in Sud-Vest

This live training in Sud-Vest delves into how agentic AI is redefining organizational workflows, talent strategies, and job design. Specifically suited for intermediate professionals, the course covers autonomous decision-making, enterprise readiness, and governance frameworks to facilitate responsible and compliant AI adoption.

This live, instructor-led session in Sud-Vest demystifies agentic AI by covering prompt engineering, architectural patterns, and ethical usage. Learners will gain the skills to create simple agent workflows using Python, integrate external tools, and apply safety measures to ensure autonomous systems are effective, secure, and scalable.

This instructor-led, live training in Sud-Vest (online or onsite) targets intermediate AI developers and automation experts aiming to integrate agentic capabilities into AI applications.

Upon completing this training, participants will be equipped to:

• Grasp the core principles of agentic AI and autonomous decision-making.
• Build goal-oriented AI agents using self-optimization methods.
• Integrate collaboration among multiple agents to tackle complex challenges.
• Improve interactions between AI and humans via personalized user experiences.
• Deploy agentic AI models for practical, real-world use.

This instructor-led, live training in Sud-Vest (online or onsite) is designed for advanced professionals aiming to develop and optimize multi-agent systems through Agentic AI frameworks.

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

• Understand the core principles of Agentic AI in multi-agent settings.
• Develop AI-driven agents that interact autonomously.
• Implement reinforcement learning for adaptive AI behavior.
• Optimize multi-agent collaboration and competition.
• Apply Agentic AI in robotics, gaming, and enterprise automation.

This instructor-led, live training in Sud-Vest (online or onsite) is aimed at advanced-level professionals who wish to leverage Agentic AI for enterprise-scale automation and strategic AI adoption.

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 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.

This instructor-led, live training in Sud-Vest (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.

This instructor-led, live training in Sud-Vest (online or onsite) is designed for intermediate-level AI engineers, machine learning researchers, and developers who aim to build and deploy Agentic AI solutions in practical, real-world scenarios.

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

• Grasp the fundamental principles of Agentic AI.
• Develop AI agents capable of autonomous reasoning and execution.
• Connect Agentic AI with APIs and third-party services.
• Optimize interactions among multiple agents for complex operations.
• Navigate ethical, security, and scalability challenges inherent in Agentic AI.

This instructor-led, live training in Sud-Vest (online or onsite) is designed for beginners in the field who want to grasp the foundational principles of Agentic AI, its functional capabilities, and its transformative potential across various industries.

Upon completing this training, participants will be able to:

• Comprehend the fundamental principles underlying Agentic AI.
• Distinguish between conventional AI systems and autonomous AI agents.
• Examine practical applications of Agentic AI across diverse sectors.
• Evaluate the advantages and hurdles associated with deploying autonomous AI systems.
• Analyze the ethical and security implications of Agentic AI.

This one-day course provides software engineers, technical leads and development teams with a practical framework for working effectively with AI coding agents in real-world software projects. Rather than focusing on prompting techniques alone, the course explores the complete agent ecosystem, including context engineering, reusable workflows, MCP (Model Context Protocol) integrations, feedback loops, security and organisational adoption.

AI agents are transitioning from research demonstrations to autonomous production systems capable of operating across text, image, speech, and tool-driven workflows. This evolution demands higher standards for engineering rigor, resilience against adversarial attacks, and regulatory accountability. This instructor-led training guides advanced practitioners through the complete agent lifecycle—from designing single and multi-agent architectures to integrating multi-modal perception and orchestrating coordinated behaviors using modern frameworks. Through progressive Python-based labs, participants will construct a production-grade multi-agent system, which they then stress-test using adversarial techniques and the Adversarial Robustness Toolbox. The course concludes with alignment to NIST AI RMF, ISO/IEC 42001, the EU AI Act, and GDPR, covering secure deployment, monitoring, and incident response, ensuring participants can deliver agents that are capable, defensible, and compliant.

This instructor-led, live training in Sud-Vest (available online or onsite) targets beginner to intermediate-level developers and cloud practitioners who intend to use Alibaba Cloud to develop AI agents capable of automating tasks, answering queries, and integrating with business systems.

By the conclusion of this training, participants will understand 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.

This instructor-led live training in Sud-Vest is intended for intermediate-level professionals aiming to automate business processes and build their first AI agent using Make.

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

• Design no-code workflows in Make utilizing triggers and webhooks.
• Connect an AI agent to their data within a flow.
• Automate real processes from start to finish, including error handling and monitoring.