Agentic AI Training in Durban

This live training in Durban delves into how agentic AI is reshaping organizational workflows, talent strategies, and job design. Ideal for intermediate professionals, the course covers autonomous decision-making, enterprise readiness, and governance frameworks to foster responsible and compliant AI adoption.

This instructor-led bootcamp in Durban provides a hands-on pathway to constructing autonomous AI agents in Python. Learners complete five progressive projects covering design patterns, API orchestration, and multi-agent workflows, progressing from theoretical concepts to real-world deployment.

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 serves as an introduction to agentic AI, exploring prompt engineering, design patterns, and responsible usage. Participants will learn to create straightforward agent workflows using Python, integrate external tools, and apply safety measures to build autonomous systems that are effective, secure, and scalable.

This instructor-led, live training in Durban supports intermediate professionals in designing and scaling agentic AI for business automation. Participants will learn to map workflows, integrate tools, and develop practical use cases in customer service, supply chain, and marketing to ensure measurable impact.

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 focuses on reinforcement learning and decision-making strategies for agentic AI. Participants will implement DQN, PPO, and A3C using Python, model environments via OpenAI Gym, and integrate these methods into robotics and planning systems to achieve adaptive behavior in real-world scenarios.

This live training in Durban empowers advanced professionals to scale and operationalise agentic AI systems in production. It covers MLOps, observability, and cost control, enabling the design of resilient, observable, and cost-optimised pipelines for large-scale deployments.

This instructor-led live training in Durban assists BI professionals in modernising legacy systems through WrenAI. You will learn to evaluate current environments, map migration paths to conversational analytics, and spearhead change management initiatives to guarantee successful adoption and tangible business impact.

This instructor-led training in Durban addresses governance, identity management, and red-teaming for agentic AI systems. Advanced practitioners will learn to design secure deployments, implement least-privilege access, and conduct adversarial testing to mitigate real-world threats in production environments.

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 instructor-led training in Durban empowers finance professionals to utilise WrenAI for KPI modelling and the creation of regulatory-aware dashboards. Participants will acquire practical skills in integrating data sources, ensuring audit compliance, and developing risk management reports to support effective decision-making.

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 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 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 designed for advanced-level professionals seeking to harness 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 within enterprise applications.
• Integrate autonomous AI agents with enterprise systems.
• Optimise AI-driven workflows to enhance 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 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) is designed for intermediate-level AI engineers, machine learning researchers, and developers who want to construct and deploy Agentic AI systems in real-world applications.

Upon completing this training, participants will be able to:

• Grasp the fundamental principles underlying Agentic AI systems.
• Deploy AI agents that can reason autonomously and take action.
• Integrate Agentic AI with APIs and third-party services.
• Optimise multi-agent interactions for tackling complex tasks.
• Tackle ethical, security, and scalability challenges inherent in Agentic AI.

This instructor-led, live training in Durban (online or onsite) is tailored for beginner-level professionals eager to grasp the fundamental principles of Agentic AI, its capabilities, and its transformative potential across industries.

Upon completing this training, participants will be able to:

• Grasp the core principles of Agentic AI.
• Distinguish between traditional AI and autonomous AI agents.
• Explore real-world applications of Agentic AI across various sectors.
• Evaluate the benefits and challenges associated with deploying autonomous AI systems.
• Analyse the ethical and security implications of Agentic AI.

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

This one-day course offers software engineers, technical leads, and development teams a practical framework for collaborating effectively with AI coding agents in real-world software projects. Instead of concentrating solely on prompting techniques, the course delves into the entire agent ecosystem, encompassing context engineering, reusable workflows, MCP (Model Context Protocol) integrations, feedback loops, security measures, and organisational adoption strategies.

AI agents are transitioning from research prototypes to robust production systems capable of autonomous action across text, image, speech, and tool-driven workflows. This evolution demands heightened engineering rigour, adversarial robustness, and regulatory accountability. This instructor-led training guides advanced practitioners through the complete agent lifecycle, covering everything from architecting single and multi-agent systems to integrating multi-modal perception and orchestrating coordinated behaviours via modern frameworks. Through progressive Python-based labs, participants build a production-grade multi-agent system, which is then stress-tested using adversarial techniques and the Adversarial Robustness Toolbox. The course concludes with guidance on aligning with NIST AI RMF, ISO/IEC 42001, the EU AI Act, and GDPR, alongside secure deployment, monitoring, and incident response protocols, ensuring participants can deliver agents that are capable, defensible, and compliant.

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 is designed for intermediate developers looking to design, build, and test AI agents utilising the Claude API and the Agent SDK.

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

• Call the Messages API incorporating system prompts, structured output, and streaming
• Define tools and execute a consistent tool-use loop
• Integrate agents with external systems using MCP servers
• Develop and run agents via the Claude Agent SDK, including managing permissions and subagents
• Optimise cost and latency through prompt caching and appropriate context handling
• Test, record, and monitor agent behaviour using a small evaluation dataset

Instead of processing prompts one by one, Claude Cowork handles end-to-end tasks such as research, document creation, and file management. This course guides participants on crafting effective briefs, verifying execution plans, and evaluating outcomes. Learners will delegate three practical assignments and configure an automated recurring task.

This live, instructor-led training in Durban is designed for knowledge workers, assistants, and project or department leads seeking to assign complete workflows to Claude rather than engaging in iterative step-by-step chats.

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

• Distinguish between standard chat interactions and delegated workflows in Cowork
• Draft comprehensive briefs that include objectives, required materials, constraints, and acceptance criteria
• Generate documents, spreadsheets, and presentations directly from source folders
• Manage research processes from initial inquiry to final report delivery
• Leverage plugins, skills, and connectors within the Cowork environment
• Establish approval checkpoints, backup protocols, and secure folder permissions

Course Format

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

Customization Options

• Interested in tailoring this course to your specific needs? Please contact us to discuss customization arrangements.

Empower your team to handle knowledge inquiries and streamline document workflows with greater control. This intensive two-day workshop focuses on Agent Builder on the first day, followed by Copilot Studio, including approval workflows and rigorous testing, on the second. By the end of the course, you will have a fully tested knowledge agent and a comprehensive draft for a Studio-based agent.

This live, instructor-led training in Durban is designed for key users, AI champions, and department leaders who aim to develop custom Copilot agents for addressing knowledge queries and managing document processes.

Upon completion, participants will be equipped to:

• Determine when standard Copilot Chat is sufficient versus when a dedicated agent is required
• Develop a knowledge agent in Agent Builder, defining the target audience, knowledge sources, and operational limits
• Grasp the architecture of Copilot Studio agents and create an initial agent instance
• Deconstruct document workflows into manageable, reviewable steps that include human oversight and approval
• Validate agent performance using specific test cases and defined acceptance criteria
• Distinguish between roles, permissions, licensing requirements, and operational responsibilities

Course Structure

• Duration: 2 days (7 hours per day)
• Interactive sessions featuring direct trainer engagement, discussion, and hands-on exercises applied to participants' real-world scenarios
• Day 1 Outcome: Participants will possess a tested knowledge agent and a strategic tool map tailored to their work scenarios.
• Day 2 Outcome: Participants will have a drafted Studio agent with approval mechanisms, two validated process cases, and a roadmap for future implementation.

Customization Options

• Contact us to discuss tailoring this training to your specific business needs.

An AI assistant trained on internal company documents can answer queries regarding policies, manuals, and processes while citing specific sources. This course guides you through preparing your documentation, selecting the appropriate platform, building a no-code agent, and evaluating its performance using a structured question catalog. Additionally, participants will develop a comprehensive maintenance plan.

This live, instructor-led training in Durban is designed for teams, knowledge owners, and key users who need to provide accurate answers derived from their own documents, policies, and manuals.

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

• Grasp the mechanics of Retrieval-Augmented Generation (RAG) in simple terms and understand the limitations of AI answers
• Optimise documents to ensure accuracy in AI responses
• Select the most suitable platform for a knowledge agent
• Build and deploy a knowledge agent without any coding
• Validate responses using a question catalog and source citations
• Establish protocols for maintenance, role definitions, and content currency in a live environment

Course Format

• Duration: 1 day (7 hours)
• Interactive session featuring a trainer, group discussions, and hands-on exercises applied to your specific use cases
• Day 1 Outcome: Each participant will leave with a shared knowledge agent tailored to their documents, a recorded hit rate, and a maintenance plan

Course Customisation Options

• Interested in a customised training experience? Please contact us to discuss your requirements.

Langdock unifies various AI models, assistants, corporate knowledge, and workflows within a single platform for the company. This course guides you through daily chat operations, the creation and sharing of assistants, the integration of knowledge sources, and the setup of workflows with human approval. It also covers the necessary rules for data management, role definition, and rollout.

This live, instructor-led training in Durban is tailored for: Departments and key users in organisations that use or are introducing Langdock as a central AI platform.

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

• Confidently operate Langdock, encompassing chat, models, assistants, knowledge management, and workflows
• Select the optimal model for each specific task
• Create assistants with specific instructions and corporate knowledge, and share them within the team
• Connect SharePoint, OneDrive, and other sources to establish a knowledge base
• Set up simple workflows that include human approval
• Define organisational rules for data, roles, and approvals

Course Format

• Duration: 2 days (7 hours each), also available as 4 half-day online sessions
• Interactive training with a trainer, including discussion and hands-on exercises based on participants' own use cases
• Outcome, Day 1: Each participant will have a template, a knowledge folder, and a shared assistant for their specific area.
• Outcome, Day 2: Each participant will have a working workflow with approval, a connected knowledge source, and a plan for the next 30 to 60 days.

Customisation Options

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

This live, instructor-led training in Durban is tailored for intermediate-level professionals seeking to automate business operations and create their first AI agent using Make.

By the end of this session, participants will be equipped to:

• Design no-code workflows in Make using triggers and webhooks.
• Link AI agents to their data within a flow.
• Automate real-world processes from start to finish, incorporating error handling and monitoring.

A personal AI agent can manage your inbox, schedule appointments, draft briefings and execute daily workflows such as a morning summary. This one-day workshop demonstrates how to configure such an agent using personal context, integrations and clear protocols for approvals and data security. By the end of the session, participants will have a fully operational agent and two active automated routines.

This instructor-led, live training in Durban is designed for professionals, executive assistants, project managers and self-employed individuals looking to implement a personal AI agent for their specific work needs.

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

• Identify the specific tasks a personal AI agent can handle and understand its limitations
• Establish a personal context including profile details, custom instructions and relevant notes
• Streamline email and calendar management with AI support while retaining full control
• Prepare for meetings and conversations using automated briefing documents
• Create automated routines such as a daily morning overview and a weekly performance review
• Implement governance policies, including approval thresholds, data protection measures and functional limits for their agent

Course Format

• Duration: 1 day (7 hours)
• Interactive training sessions led by an expert, featuring discussion and hands-on exercises tailored to participants' own use cases
• Day 1 Outcome: Every participant will have a configured personal agent, including a profile, integrated mailbox and calendar, and two running routines.

Customization Options

• Please contact us to discuss and arrange customized training for this course.

This instructor-led, live training in Durban is designed for managers, assistants, and knowledge workers.

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

• Use AI support to organize email and calendar activities
• Speed up the process of preparing for meetings and conducting research
• Establish a personal assistant that aligns with their specific preferences
• Ensure the protection of personal and company data