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 instructor-led bootcamp in Sud-Vest provides a hands-on pathway to constructing autonomous AI agents in Python. Participants will complete five progressive projects covering design patterns, API orchestration, and multi-agent workflows, bridging the gap between theory and real-world deployment.

This practical course in Sud-Vest walks you through the deployment of agentic AI on resource-limited devices. Acquire the skills to develop, refine, and administer lightweight agents for local reasoning using Python, TensorFlow Lite, and PyTorch Mobile, thereby improving speed, privacy, and reliability.

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 live, instructor-led course in Sud-Vest assists intermediate professionals in designing and scaling agentic AI for business automation. Participants will learn to map workflows, integrate systems, and create practical applications in customer service, supply chain, and marketing to ensure measurable business impact.

This live training in Sud-Vest empowers advanced professionals to architect and deploy multi-agent systems using Python. The curriculum covers agent coordination, reinforcement learning, and distributed computing through frameworks such as Mesa and Ray, culminating in a practical capstone project.

This instructor-led program on Sud-Vest addresses reinforcement learning and decision-making in agentic AI. Participants will apply DQN, PPO, and A3C via Python, build environment models with OpenAI Gym, and merge these techniques into robotics and planning systems to achieve adaptive real-world behavior.

This live training in Sud-Vest empowers advanced professionals with the necessary skills to scale and operationalize agentic AI systems in production. It addresses MLOps, observability, and cost governance, facilitating the creation of resilient, observable, and cost-optimized pipelines for large-scale deployments.

This instructor-led training in Sud-Vest focuses on governance, identity management, and red-teaming for agentic AI. Advanced practitioners will learn to design secure deployments, apply least-privilege access, and conduct adversarial testing to mitigate real-world threats in production settings.

This live, instructor-led training in Sud-Vest centers on the practical application of Python for autonomous AI agents. By exploring modern SDKs like LangChain and AutoGen, it empowers engineers to confidently build, connect, and orchestrate intricate agent workflows.

This instructor-led live training in Sud-Vest explores applied Python methods for creating autonomous agents, covering essential areas such as agent loops, tool integration, memory management, orchestration, and safety mechanisms. Designed primarily for ML engineers, it emphasizes the deployment of resilient, production-ready agents.

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 five-day course in Sud-Vest empowers finance professionals with skills in advanced analytics, AI-assisted Python, and agentic AI. Participants will learn to construct intelligent dashboards, optimize GL operations, and design autonomous workflows to enhance financial analysis, reporting, and strategic decision support.

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 delivered in Sud-Vest is tailored for intermediate-level developers looking to design, construct, and validate AI agents using the Claude API and the Agent SDK.

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

• Utilize the Messages API by leveraging system prompts, structured outputs, and streaming
• Establish tools and execute a dependable tool-use cycle
• Integrate agents with external systems via MCP servers
• Develop and operate agents utilizing the Claude Agent SDK, covering permissions and subagents
• Optimize expenses and latency through prompt caching and effective context management
• Conduct testing, logging, and monitoring of agent performance using a concise evaluation set

Claude Cowork shifts the workflow from responding to individual prompts to managing comprehensive tasks, including research, document drafting, and file management. This course guides participants on crafting effective task briefs, monitoring execution plans, and evaluating final outputs. Attendees will delegate three practical tasks and configure a scheduled workflow.

This instructor-led, live training in Sud-Vest targets knowledge workers, assistants, and project or department heads seeking to hand over entire workflows to Claude rather than engaging in iterative step-by-step conversations.

Upon completing this training, participants will be able to:

• Distinguish between standard chat interactions and delegated work within Cowork
• Structure task briefs clearly defining objectives, inputs, constraints, and acceptance criteria
• Generate documents, spreadsheets, and presentations directly from designated folders
• Delegate end-to-end research processes, from initial inquiry to final report
• Leverage plugins, skills, and connectors within the Cowork environment
• Establish approval checkpoints, backup protocols, and secure folder access controls

Course Format

• Duration: 1 day (7 hours)
• Interactive sessions featuring trainer guidance, discussions, and hands-on exercises applied to participants' specific use cases
• Day 1 Outcome: Each participant will have delegated three real-world tasks to Cowork, reviewed the outputs, and established a scheduled task.

Course Customization Options

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

Agents empower teams to handle knowledge queries and streamline document workflows in a governed manner. This two-day program focuses on Agent Builder on the first day and Copilot Studio, including approval workflows and testing, on the second day. Attendees will conclude the course with a verified knowledge agent and a draft Studio agent.

This live, instructor-led session in Sud-Vest is designed for key users, AI champions, and department leaders aiming to develop custom Copilot agents for informational queries and document management.

Upon completion, participants will be able to:

• Determine when Copilot Chat suffices and when deploying an agent adds value
• Create a knowledge agent in Agent Builder by defining the audience, knowledge sources, and boundaries
• Grasp the architecture of Copilot Studio agents and develop an initial agent
• Deconstruct document workflows into reviewable stages that incorporate human approval
• Evaluate agents using defined test cases and acceptance criteria
• Distinguish roles, permissions, licensing, and operational aspects

Course Format

• Duration: Two days, seven hours per day
• Interactive learning with a trainer, featuring discussions and hands-on exercises tailored to participants' specific use cases
• Day 1 Deliverable: A tested knowledge agent and a tool map for individual work scenarios
• Day 2 Deliverable: A draft Studio agent with approval features, two tested process scenarios, and a roadmap for personal use cases

Customization Options

• Please contact us to arrange a customized training experience for this course.

Implement a document-based assistant capable of answering inquiries about policies, manuals, and processes, clearly identifying the source for each response. This course guides you through preparing documents, selecting a platform, building a no-code agent, and evaluating its performance with a question catalog. Additionally, participants will create a maintenance plan.

This live, instructor-led training in Sud-Vest is intended for: Teams, knowledge owners, and key users who aim to extract answers from their proprietary documents, policies, and manuals.

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

• Understand how AI generates answers from documents (RAG explained simply) and identify its boundaries
• Prepare documents to guarantee response accuracy
• Select the most suitable platform for a knowledge agent
• Build and share a knowledge agent without coding
• Verify answers using a question catalog and source references
• Define maintenance schedules, roles, and content currency for operational environments

Format of the Course

• Duration: 1 day (7 hours)
• Interactive training with a trainer, incorporating discussion and hands-on exercises tailored to participants' own use cases
• Outcome, Day 1: Each participant will have a shared knowledge agent on their own documents, a measured hit rate, and a maintenance plan.

Course Customization Options

• To request a customized version of this training, please contact us to make arrangements.

Langdock consolidates multiple AI models, intelligent assistants, enterprise knowledge bases, and automated workflows into a single, unified platform. This course focuses on practical daily applications, including effective chat interactions, designing and distributing custom assistants, integrating knowledge sources, and establishing workflows that incorporate human oversight. Additionally, it addresses critical governance aspects such as data handling rules, role definitions, and implementation strategies.

Designed as an instructor-led, live training session in Sud-Vest, this program targets departments and key stakeholders within organizations that currently utilize or are in the process of adopting Langdock as their central AI hub.

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

• Manage Langdock with confidence, covering chats, model selection, assistant creation, knowledge integration, and workflow automation
• Select the most appropriate AI model for specific business tasks
• Develop assistants equipped with custom instructions and proprietary company knowledge, and share them across teams
• Integrate SharePoint, OneDrive, and other data sources to build a comprehensive knowledge base
• Configure basic workflows that require human approval steps
• Establish internal guidelines regarding data usage, role assignments, and approval processes

Course Format

• Duration: Two days (7 hours per day), with an option to complete the training across four online half-days
• Interactive sessions featuring a trainer, open discussions, and hands-on exercises tailored to participants' specific use cases
• Day 1 Outcome: Each participant will leave with a customized template, a structured knowledge folder, and a shared assistant tailored to their specific area of responsibility.
• Day 2 Outcome: Each participant will possess a functional workflow with approval mechanisms, an integrated knowledge source, and a strategic plan for the next 30 to 60 days.

Customization Options

• For tailored training needs specific to this course, please contact us to discuss arrangements.

This live, instructor-led training in Sud-Vest is tailored for intermediate-level professionals seeking to automate business processes and develop their initial AI agent with Make.

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

• Design no-code workflows in Make incorporating triggers and webhooks.
• Link an AI agent to their data within a flow.
• Automate a practical process from start to finish, including error management and monitoring.

Imagine delegating the tedious parts of your day. A personal AI agent can handle email triage, schedule appointments, draft briefings, and manage recurring routines like a daily morning summary. This intensive one-day workshop guides you through setting up a dedicated assistant, complete with personalized context, essential connectors, and strict protocols for approvals and data privacy. By the end of the session, you will have a fully functional agent equipped with two automated routines ready to support your workflow.

Delivered live by an expert instructor in Sud-Vest, this course is tailored for professionals, executive assistants, project managers, and entrepreneurs looking to integrate a personal AI agent into their daily operations.

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

• Distinguish between the capabilities and limitations of a personal AI agent
• Construct a robust personal context using profiles, specific instructions, and notes
• Leverage AI to streamline email and calendar management while retaining full control
• Enhance meeting preparation through the use of automated briefings
• Implement automated routines, such as morning overviews and weekly performance reviews
• Establish clear boundaries, approval workflows, and data protection standards for your agent

Course Format

• Duration: One day (7 hours)
• A highly interactive experience featuring direct trainer guidance, open discussions, and practical exercises focused on your specific use cases
• Day 1 Deliverable: You will leave with a configured personal agent, including a defined profile, connected email and calendar, and two active automated routines.

Customization Options

• Looking to tailor this course to your specific needs? Please reach out to us to discuss customization possibilities.

This live, instructor-led training in Sud-Vest is tailored for managers, assistants, and knowledge workers.

By the conclusion of this session, learners will be able to:

• Optimize email and calendar workflows with AI assistance
• Improve the speed of meeting preparation and research tasks
• Establish a personalized assistant based on specific preferences
• Safeguard personal and organizational data