AI Agents Training in Tunisia

This instructor-led, live training in Tunisia (online or onsite) is aimed at advanced-level AI engineers, robotics developers, and automation specialists who wish to leverage DeepSeek for building intelligent AI agents and autonomous systems.

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

• Understand the architecture and capabilities of DeepSeek AI models.
• Integrate DeepSeek into AI agents for decision-making and automation.
• Apply reinforcement learning techniques for training autonomous systems.
• Deploy AI-driven autonomous agents in real-world environments.

This instructor-led, live training in Tunisia (online or onsite) is aimed at intermediate-level AI developers, security specialists, and compliance officers who wish to design and implement secure AI agents while addressing ethical concerns and robustness.

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

• Understand the security risks and ethical challenges in AI agent development.
• Implement security-first design principles for AI models.
• Apply adversarial robustness techniques to prevent attacks on AI agents.
• Ensure compliance with ethical AI guidelines and regulatory standards.

This instructor-led, live training in Tunisia (online or onsite) is aimed at intermediate-level to advanced-level AI developers, researchers, and multimedia engineers who wish to build AI agents capable of understanding and generating multi-modal content.

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

• Develop AI agents that process and integrate text, image, and speech data.
• Implement multi-modal models such as GPT-4 Vision and Whisper ASR.
• Optimize multi-modal AI pipelines for efficiency and accuracy.
• Deploy multi-modal AI agents in real-world applications.

This instructor-led, live training in Tunisia (online or onsite) is aimed at beginner-level to intermediate-level developers and designers who wish to understand and build AI-powered personal assistants for various use cases.

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

• Understand the core principles of AI-powered personal assistants.
• Learn the fundamentals of integrating language models with smart assistants.
• Build and customize a personal assistant using AI frameworks and tools.
• Deploy personal assistants for real-world applications in different industries.

This instructor-led, live training in Tunisia (online or onsite) is aimed at advanced-level AI engineers, enterprise software developers, and business leaders who wish to customize and deploy LLM-based AI agents for enterprise applications.

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

• Understand the architecture and capabilities of open-source LLMs.
• Customize and fine-tune LLMs for enterprise use cases.
• Deploy AI agents using LangChain and Hugging Face.
• Integrate LLM-powered agents into business workflows.

This instructor-led, live training in Tunisia (online or onsite) is aimed at advanced-level robotics engineers, AI researchers, and automation specialists who wish to develop AI-driven autonomous robotic systems for complex tasks and human-AI collaboration.

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

• Understand the role of AI agents in robotic decision-making and automation.
• Implement AI-driven navigation and obstacle avoidance.
• Develop human-AI collaborative robotic systems.
• Deploy AI-powered perception and control systems in robots.

This instructor-led, live training in Tunisia (online or onsite) is aimed at intermediate-level financial professionals, risk analysts, and AI engineers who wish to develop and deploy AI-driven solutions for financial automation and fraud detection.

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

• Understand the role of AI in financial automation and fraud detection.
• Build AI models for detecting fraudulent transactions.
• Leverage machine learning for real-time risk assessment.
• Deploy AI-powered financial monitoring systems.

This instructor-led, live training in Tunisia (online or onsite) is aimed at beginner-level to intermediate-level customer service professionals, chatbot developers, and automation teams who wish to implement AI-driven solutions for customer support and service automation.

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

• Understand the fundamentals of AI-powered customer support.
• Develop and integrate AI chatbots for handling customer queries.
• Leverage NLP and machine learning to enhance chatbot interactions.
• Deploy AI agents in real-world customer service applications.

This instructor-led, live training in Tunisia (online or onsite) is aimed at intermediate-level to advanced-level healthcare professionals and AI developers who wish to implement AI-driven healthcare solutions.

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

• Understand the role of AI agents in healthcare and diagnostics.
• Develop AI models for medical image analysis and predictive diagnostics.
• Integrate AI with electronic health records (EHR) and clinical workflows.
• Ensure compliance with healthcare regulations and ethical AI practices.

This instructor-led, live training in Tunisia (online or onsite) is aimed at beginner-level to intermediate-level AI developers and UI/UX designers who wish to learn how to build, optimize, and deploy AI-powered virtual assistants.

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

• Design effective conversational AI workflows and UI/UX interfaces.
• Implement AI-driven natural language processing (NLP) models.
• Integrate AI assistants with APIs and third-party platforms.
• Deploy and maintain AI assistants for real-world applications.

This instructor-led, live training in Tunisia (online or onsite) is aimed at advanced-level AI developers and automation specialists who wish to customize Manus AI for industry-specific applications.

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

• Understand the architecture and capabilities of Manus AI.
• Configure Manus AI for custom AI-driven workflows.
• Integrate Manus AI with third-party enterprise tools and APIs.
• Optimize AI automation for scalability and efficiency.
• Ensure compliance and security in AI-powered business processes.

This instructor-led, live training in Tunisia (online or onsite) is aimed at advanced-level professionals who wish to master the techniques for deploying and managing AI agents in production environments.

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

• Design and implement scalable AI deployment pipelines.
• Use tools like Docker and Kubernetes to containerize and orchestrate AI agents.
• Monitor and optimize AI agents in production environments.
• Implement CI/CD workflows for AI agent deployments.
• Ensure compliance with security and data governance requirements.

This instructor-led, live training in Tunisia (online or onsite) is aimed at advanced-level IT professionals, automation specialists, and AI engineers who wish to integrate Manus AI into enterprise workflows for seamless automation.

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

• Understand Manus AI’s role in enterprise automation.
• Integrate Manus AI with existing business systems and tools.
• Leverage APIs for workflow automation and data exchange.
• Implement AI-driven process optimization strategies.
• Ensure security and compliance in AI-powered enterprise solutions.

This instructor-led, live training in Tunisia (online or onsite) is aimed at advanced-level AI professionals who wish to master reinforcement learning techniques and implement them for training AI agents in solving complex problems.

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

• Understand the core principles of reinforcement learning and Markov Decision Processes (MDPs).
• Design and implement RL algorithms such as Q-Learning, SARSA, and Deep Q-Networks (DQN).
• Utilize frameworks like OpenAI Gym and RL libraries for practical applications.
• Train AI agents to solve real-world, multi-step decision-making problems.
• Address challenges such as exploration-exploitation trade-offs and convergence in RL training.

This instructor-led, live training in Tunisia (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.

This instructor-led, live training in Tunisia (online or onsite) is aimed at advanced-level AI professionals who wish to master the skills to design, build, and deploy MAS that solve complex, real-world problems.

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

• Understand the principles of multi-agent system architectures.
• Implement strategies for communication, coordination, and decision-making in MAS.
• Apply game theory to model agent interactions and resolve conflicts.
• Leverage frameworks like JADE to create scalable MAS solutions.
• Address challenges like scalability, trust, and emergent behavior in MAS.

This instructor-led, live training in Tunisia (online or onsite) is aimed at intermediate-level professionals who wish to leverage Manus AI for AI-assisted writing, design, and content automation.

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

• Understand the capabilities of Manus AI for content creation.
• Generate high-quality written and visual content using AI.
• Automate content scheduling and distribution.
• Optimize social media engagement with AI-powered strategies.
• Ensure AI-generated content aligns with brand identity.

This instructor-led, live training in Tunisia (online or onsite) is aimed at advanced-level professionals who wish 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 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 Tunisia (online or onsite) is aimed at intermediate-level business analysts, RPA developers, and AI professionals who wish to harness the power of AI agents for business process automation.

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

• Understand the role of AI agents in business process automation.
• Identify opportunities for automation in key business domains.
• Develop AI-driven solutions for customer support, finance, and supply chain workflows.
• Integrate AI agents with existing RPA and business systems.
• Evaluate and optimize AI automation strategies for efficiency.

This instructor-led, live training in Tunisia (online or onsite) is aimed at advanced-level AI engineers, software developers, and machine learning specialists who wish to modify AutoGPT models, integrate APIs, and optimize autonomous agents for specific business needs.

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

• Customize AutoGPT’s behavior and fine-tune its underlying models.
• Integrate AutoGPT with external APIs and third-party tools.
• Enhance AutoGPT’s decision-making and task execution efficiency.
• Optimize resource utilization and troubleshoot common issues.

This instructor-led, live training in Tunisia (online or onsite) is aimed at intermediate-level game developers and AI enthusiasts who wish to integrate AI agents into gaming applications effectively.

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

• Understand the role of AI agents in modern gaming.
• Develop decision-making systems using decision trees and finite state machines.
• Implement pathfinding algorithms such as A* for in-game navigation.
• Apply reinforcement learning techniques to create adaptive AI behaviors.
• Optimize AI performance for real-time gaming environments.

This instructor-led, live training in Tunisia (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 Tunisia (online or onsite) is aimed at intermediate-level professionals who wish to delve deeper into the design and development of autonomous agents for practical applications.

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

• Understand the foundational concepts of autonomous agents.
• Explore real-world applications of autonomous AI agents.
• Design, train, and implement agents using reinforcement learning.
• Integrate agents into existing systems for automation and decision-making.
• Address ethical considerations and challenges in deploying autonomous agents.

This instructor-led, live training in Tunisia (online or onsite) is aimed at intermediate-level professionals who wish to harness AutoGPT for automating business operations and enhancing productivity.

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

• Understand the role of AutoGPT in business automation.
• Set up and configure AutoGPT for task execution.
• Use AutoGPT to optimize workflows and enhance decision-making.
• Integrate AutoGPT with business tools and data sources.
• Implement best practices for AI-driven automation.

This instructor-led, live training in Tunisia (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to integrate Read AI with platforms like Slack, CRM systems, and Notion to automate workflows and improve team efficiency.

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

• Connect Read AI with Slack, Salesforce, Notion, and similar tool.
• Automate the delivery of meeting summaries and action items across platforms.
• Sync Read AI data with CRM systems and task boards.
• Troubleshoot integration issues and optimize configurations for team needs.

This instructor-led, live training in Tunisia (online or onsite) is aimed at beginner-level professionals who wish to understand how AI agents work and build their own interactive chatbot systems.

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

• Understand the basics of AI agents and their applications.
• Explore the principles of natural language processing (NLP).
• Design a conversational flow for a chatbot.
• Develop a functional chatbot using Python and related tools.
• Deploy the chatbot to interact with real users.

This instructor-led, live training in Tunisia (online or onsite) is aimed at beginner-level professionals who wish to understand and create simple AI agents for real-world applications.

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

• Understand the fundamental concepts of AI agents.
• Identify different types of AI agents and their applications.
• Design and implement basic AI agents for practical tasks.
• Explore tools and frameworks for building AI agents.

This instructor-led, live training in Tunisia (online or onsite) is aimed at beginner-level professionals who wish to explore the fundamentals of CrewAI and build simple multi-agent systems.

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

• Understand the architecture and design principles of CrewAI.
• Define roles, tasks, and flows within a crew of agents.
• Create collaborative workflows using CrewAI's framework.
• Build, test, and run basic multi-agent scenarios.

This instructor-led, live training in Tunisia (online or onsite) is aimed at beginner-level professionals who wish to understand the fundamentals of BabyAGI and its applications.

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

• Understand the concept of autonomous AI agents.
• Set up and run BabyAGI in a local or cloud environment.
• Explore the workflow of task creation, prioritization, and execution.
• Identify potential use cases for AI automation with BabyAGI.

This 1-day workshop, designed for developers, data scientists, and AI enthusiasts, will help you understand and harness the power of agentic AI systems using AutoGen v0.4. 

Through a mix of hands-on exercises and practical demonstrations, you’ll learn how to build, manage, and deploy multi-agent applications powered by Large Language Models (LLMs). 

By the end of the course, you'll gain a solid foundation in AutoGen’s layered architecture, master asynchronous communication between agents, and explore real-world use cases and best practices for developing scalable and intelligent LLM-driven applications.