AI Agents Training in Durban

This instructor-led, live training in Durban (online or onsite) is designed for advanced AI engineers, robotics developers, and automation specialists aiming to utilise DeepSeek to construct intelligent AI agents and autonomous systems.

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

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

This instructor-led, live training in Durban (delivered online or on-site) targets intermediate-level AI developers, security specialists, and compliance officers seeking to design and implement secure AI agents while addressing ethical concerns and robustness.

Upon completing this training, participants will be equipped to:

• Identify security risks and ethical challenges inherent in AI agent development.
• Apply security-first design principles to AI models.
• Utilise adversarial robustness techniques to defend AI agents against attacks.
• Maintain compliance with ethical AI guidelines and regulatory standards.

This practical course in Durban walks you through the process of deploying agentic AI on resource-constrained hardware. Participants will learn to design, optimize, and oversee lightweight agents for local reasoning using Python, TensorFlow Lite, and PyTorch Mobile, ultimately improving speed, privacy, and system reliability.

This instructor-led, live training in Durban (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.
• Optimise multi-modal AI pipelines for efficiency and accuracy.
• Deploy multi-modal AI agents in real-world applications.

This instructor-led, live training in Durban (conducted online or onsite) is designed for beginner- to intermediate-level developers and designers who aim to understand and construct AI-powered personal assistants for a variety of use cases.

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

• Comprehend the core principles of AI-powered personal assistants.
• Acquire the fundamentals of integrating language models with smart assistants.
• Build and customise personal assistants using AI frameworks and tools.
• Deploy personal assistants for real-world applications across different sectors.

This instructor-led, live training session in Durban (online or onsite) is designed for advanced-level AI engineers, enterprise software developers, and business leaders who wish to customise 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.
• Customise 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 Durban (online or onsite) is designed for advanced robotics engineers, AI researchers, and automation specialists who wish to develop AI-driven autonomous robotic systems capable of handling complex tasks and fostering human-AI collaboration.

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

• Grasp the role of AI agents in robotic decision-making and automation.
• Implement AI-driven navigation and obstacle avoidance mechanisms.
• Develop robotic systems that facilitate human-AI collaboration.
• Deploy AI-powered perception and control systems within robots.

This live training in Durban guides advanced professionals in designing and implementing multi-agent systems using Python. The curriculum covers agent coordination, reinforcement learning, and distributed computing, utilising frameworks such as Mesa and Ray, and concludes with a hands-on capstone project.

This live, instructor-led training in Durban (offered online or onsite) is tailored for intermediate-level financial professionals, risk analysts, and AI engineers seeking to build and implement AI-driven solutions for financial automation and fraud detection.

By the end of the programme, participants will be able to:

• Understand the impact of AI on financial automation and fraud detection.
• Create AI models for the detection of fraudulent transactions.
• Apply machine learning for real-time risk assessment.
• Deploy AI-enabled financial monitoring systems.

This live, instructor-led training in Durban, available online or onsite, targets customer service professionals, chatbot developers, and automation teams with beginner to intermediate skills who aim to deploy AI-driven solutions for customer support and service automation.

Upon completion, participants will be able to:

• Understand the foundations of AI-powered customer support.
• Create and integrate AI chatbots to manage customer queries.
• Apply NLP and machine learning to improve chatbot interactions.
• Implement AI agents in practical customer service applications.

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

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

• Grasp 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 Durban (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 hands-on training in Durban is targeted at intermediate to advanced professionals aiming to construct, deploy, and manage AI agents. Participants will learn to leverage Mistral Medium 3, Le Chat Enterprise, and Devstral to address robust enterprise and developer use cases, including the integration of connectors, RAG patterns, and compliance standards.

This instructor-led live training in Durban focuses on the practical Python implementation of autonomous AI agents. Covering modern SDKs like LangChain and AutoGen, it empowers engineers to confidently build, connect, and orchestrate complex agent workflows.

This live, instructor-led course in Durban focuses on practical Python methods for developing autonomous agents. It covers key areas such as agent loops, tool integration, memory management, orchestration, and safety controls. Specifically designed for ML engineers, the course emphasizes the deployment of robust, production-ready agents.

This instructor-led live training in Durban (online or on-site) is tailored for advanced professionals seeking to master the techniques for deploying and managing AI agents in production environments.

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

• Architect and implement scalable AI deployment pipelines.
• Leverage tools such as Docker and Kubernetes to containerize and orchestrate AI agents.
• Monitor and optimize AI agent performance within production environments.
• Establish CI/CD workflows tailored for AI agent deployments.
• Safeguard compliance with security and data governance standards.

This live, instructor-led training in Durban—delivered either online or onsite—targets advanced-level AI professionals aiming to master reinforcement learning techniques and implement them to train AI agents for solving complex issues.

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

• Comprehend the core tenets of reinforcement learning and Markov Decision Processes (MDPs).
• Design and implement RL algorithms like Q-Learning, SARSA, and Deep Q-Networks (DQN).
• Apply frameworks such as OpenAI Gym and RL libraries in practical settings.
• Train AI agents to address real-world, multi-step decision-making tasks.
• Manage challenges including exploration-exploitation trade-offs and convergence in RL training.

This instructor-led, live training in Durban (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:

• Grasp 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, available Durban (online or on-site), 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 Durban (online or onsite) is aimed at advanced-level professionals who wish to develop and optimise 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 behaviour.
• Optimise multi-agent collaboration and competition.
• Apply Agentic AI in robotics, gaming, and enterprise automation.

This instructor-led, live training in Durban (online or onsite) is tailored for 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 optimise AI automation strategies for efficiency.

This instructor-led, live training in Durban focuses on designing grounded agents using Vertex AI Agent Builder and RAG. Participants will learn to implement pipelines, securely integrate enterprise data, and assess agent behavior. It is ideally suited for intermediate practitioners constructing intelligent solutions.

This instructor-led, live training in Durban (online or onsite) is designed for intermediate-level game developers and AI enthusiasts who aim to integrate AI agents into gaming applications effectively.

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

• Grasp 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 behaviours.
• Optimize AI performance for real-time gaming environments.

This instructor-led, live training in Durban (online or onsite) is tailored for advanced-level professionals aiming to utilise Agentic AI to drive decision-making in complex business and technical contexts.

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

• Grasp the core principles of autonomous decision-making in AI.
• Design and implement AI agents that function with minimal human intervention.
• Integrate Agentic AI into automation workflows and existing business systems.
• Optimise AI-driven decision processes for greater efficiency and scalability.
• Ensure compliance, security, and ethical considerations are addressed in AI autonomy.

This instructor-led, live training in Durban (online or onsite) targets intermediate-level professionals keen to deepen their expertise in designing and developing autonomous agents for practical applications.

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

• Grasp the fundamental concepts underpinning autonomous agents.
• Examine real-world applications of autonomous AI agents.
• Design, train, and deploy agents utilising reinforcement learning.
• Integrate agents into current systems to facilitate automation and decision-making.
• Navigate ethical considerations and deployment challenges associated with autonomous agents.

Gain mastery over Devstral in this live training held in Durban. The curriculum covers architecture, agentic workflow design, and tool integration. Designed for advanced engineers, the course utilises hands-on labs to construct coding agents that enhance productivity and security within modern development environments.

This instructor-led, live training in Durban (online or onsite) is designed for beginner-level professionals aiming to understand the functioning of AI agents and to develop their own interactive chatbot systems.

By the conclusion of this training, participants will be capable of:

• Understanding the basics of AI agents and their applications.
  
• Exploring the principles of natural language processing (NLP).
  
• Designing conversational flows for a chatbot.
  
• Developing a functional chatbot using Python and related tools.
  
• Deploying the chatbot to interact with real users.
  

This instructor-led, live training in Durban (available online or onsite) is designed for entry-level professionals seeking to grasp and build simple AI agents for practical application.

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

• Grasp the foundational concepts of AI agents.
• Recognize different types of AI agents and their relevant use cases.
• Design and implement basic AI agents to perform practical tasks.
• Explore the various tools and frameworks used in AI agent development.

This instructor-led, live training in Durban (online or onsite) is aimed at beginner-level / intermediate-level developers and cloud practitioners who wish to use Alibaba Cloud to build AI agents that can automate tasks, answer questions, and connect with business systems.

By the end of this training, participants will be able to: understand AI agent architecture on Alibaba Cloud, build a simple agent workflow, connect an agent to enterprise knowledge and tools, deploy and monitor an agent in a cloud environment.

This instructor-led, live training in Durban (online or onsite) is aimed at observability and SRE engineers who want to integrate LLMs and AI into their monitoring, alerting, and incident analysis workflows.

This advanced, hands-on seminar is tailored for software engineers, architects, technical leads, engineering managers, and delivery teams seeking to harness the power of Artificial Intelligence to streamline the entire software delivery lifecycle, spanning from initial requirements analysis to the creation of production-ready code.

This instructor-led, live training in Durban (online or onsite) is aimed at beginner-level, intermediate-level, and advanced-level developers and technical professionals who wish to use Microsoft Azure to build, test, and deploy AI agents for business applications.

By the end of this training, participants will be able to: understand AI agent architecture on Azure, create and configure a working agent, connect agents to business knowledge sources, evaluate and prepare agents for deployment.

This instructor-led live training in Durban (online or onsite) is targeted at software developers and DevOps teams who wish to use OpenAI Codex CLI to automate coding tasks, review code, and run multi-step workflows from the terminal.

By the end of this training, participants will be able to install and configure Codex CLI, execute tasks via natural language prompts, manage approval modes, and integrate with Git and CI pipelines.

This instructor-led, live training in Durban (available online or onsite) is designed for developers who wish to use GitHub Copilot Agent Mode to autonomously build features, run tests, and manage larger coding tasks.

By the end of this training, participants will be able to activate Agent Mode, plan and iterate within the agent loop, execute terminal commands, and implement enterprise governance.

This instructor-led, live training in Durban (online or onsite) is aimed at developers and leads who wish to use Cursor to build features faster, refactor across files, and manage team-wide AI workflows.

By the end of this training, participants will be able to navigate using Composer and agent mode, target code with context-aware chat, deploy team workspaces, and integrate Cursor with version control.

This instructor-led, live training in Durban (available online or on-site) is designed for software developers and AI engineers seeking to use DeepSeek Harness to build, operate, and expand AI coding agents.

This instructor-led live training, offered in Durban (online or on-site), is designed for intermediate-level solution architects, AI engineers, developers, and technical product teams aiming to utilise Tencent ADP to build enterprise AI agents with RAG, workflow automation, and operational guardrails.

By the end of the session, participants will be able to design ADP-based agents, develop knowledge pipelines, coordinate workflows and multi-agent patterns, and implement production-grade guardrails.

This instructor-led, live training in Durban (online or onsite) is aimed at beginner-level / intermediate-level / advanced-level developers and technical practitioners who wish to use Google Cloud to build AI agents that can automate tasks, use tools, and work with business data.

By the end of this training, participants will be able to: explain AI agent concepts, build agents with Vertex AI, connect agents to external tools and data, and deploy agents for business use cases.

This instructor-led live training in Durban (online or onsite) is designed for developers and DevOps professionals who wish to use Hermes Agent to automate development tasks, manage infrastructure, and build persistent AI workflows.

By the end of this training, participants will be able to install and configure Hermes Agent, interact with it across multiple platforms, utilise over 40 built-in tools, and deploy on various backends.

This instructor-led, live training in Durban (online or onsite) targets business users, operations teams, and technical professionals who wish to use Hermes Agent to streamline work, create reusable AI-driven processes, and boost team productivity.

By the end of this training, participants will be able to: explain Hermes Agent fundamentals, set up and utilise core features, build practical workflows, and apply sound operational practices.

This instructor-led, live training in Durban, delivered either online or onsite, targets developers who intend to utilise Hermes Agent to design and execute secure local AI workflows for code assistance.

By the conclusion of the training, participants will be able to explain Hermes Agent concepts, configure secure local agent environments, construct practical coding workflows, and enforce safety and governance controls.

This instructor-led, live training in Durban (online or onsite) is aimed at developers and technical teams who wish to use Ollama and open models to build and run private agentic AI solutions on internal infrastructure.

By the end of this training, participants will be able to: install and configure Ollama, evaluate and run open models locally, create simple agentic and retrieval-based workflows, and apply security and governance controls for regulated environments.

This instructor-led, live training in Durban (online or onsite) is aimed at backend developers who wish to build MCP-compatible tool servers and integrate them with agent clients.

By the end of this training, participants will be able to implement MCP servers, connect them to Claude Code and OpenClaude, switch transports, and maintain an internal tool registry.

This instructor-led live training in Durban (available online or on-site) is designed for beginner, intermediate, and advanced-level AI professionals who wish to utilise MCP to connect AI assistants with external tools, data sources, and enterprise services.

By the end of this session, participants will be able to: elucidate MCP concepts, identify key architectural components, establish a basic integration, and apply security best practices.

This instructor-led live training in Durban (online or onsite) targets beginner to intermediate developers and technical teams who wish to employ OpenAI APIs to construct AI agents capable of reasoning, utilising tools, and completing multi-step tasks.

By the end of this training, participants will be able to: design agent workflows, integrate tools and external data sources, manage context and responses, and test agents for business use.

This instructor-led, live training in Durban (online or onsite) is aimed at intermediate-level / advanced-level developers and technical professionals who wish to use OpenClaw to build and run practical AI agents that automate work through chat and tool integrations.

By the end of this training, participants will be able to: install and configure OpenClaw, connect an LLM provider, use and adapt skills for automation, and apply basic security and operational guardrails.

This instructor-led, live training in Durban (online or onsite) is aimed at senior developers who wish to use Pi to build lightweight, customizable terminal agent workflows.

By the end of this training, participants will be able to install Pi, extend it with TypeScript skills, adapt workflows to team standards, and share extensions via npm.

This instructor-led live training in Durban (online or onsite) targets developers wishing to employ Pi Coding Agent to generate code, review changes, and optimise terminal-based development workflows.

By the end of this training, participants will be able to: explain the concepts behind Pi Coding Agent, set up and utilise the tool effectively, apply it to practical coding tasks, and adopt safe workflows for team use.