Agentic AI Training in Almada

This live training in Almada examines how agentic AI is redefining organizational workflows, talent strategies, and job design. Designed for intermediate professionals, the course covers autonomous decision-making, enterprise readiness, and governance frameworks to support responsible and compliant AI adoption.

This instructor-led bootcamp in Almada provides a practical pathway to building autonomous AI agents with Python. Participants will complete five progressive projects covering design patterns, API orchestration, and multi-agent workflows, facilitating a seamless transition from theoretical concepts to real-world deployment.

This hands-on course in Almada guides you through the process of deploying agentic AI on resource-constrained devices. You will learn to construct, optimize, and manage lightweight agents for local reasoning using Python, TensorFlow Lite, and PyTorch Mobile, ultimately enhancing speed, privacy, and reliability.

This live, instructor-led programme in Almada provides an introduction to agentic AI, covering prompt engineering, design patterns, and ethical usage. Participants will learn to construct 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 Almada supports intermediate professionals in designing and scaling agentic AI solutions for business automation. The curriculum covers workflow mapping, tool integration, and the construction of practical use cases within customer service, supply chain, and marketing domains to ensure tangible, measurable results.

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

This instructor-led training in Almada focuses on reinforcement learning and decision-making for agentic AI. Learners will implement DQN, PPO, and A3C using Python, model environments with OpenAI Gym, and integrate these methodologies into robotics and planning systems to facilitate real-world adaptive behaviour.

This live training in Almada empowers advanced professionals to scale and operationalize agentic AI systems for production. Covering MLOps, observability, and cost control, it enables the creation of resilient, observable, and cost-optimized pipelines for large-scale deployments.

This instructor-led course in Almada focuses on governance, identity management, and red-teaming for agentic AI. Senior practitioners will learn to design secure deployments, enforce least-privilege access, and carry out adversarial testing to mitigate real-world threats in production settings.

This live, instructor-led training in Almada provides practical guidance on implementing Python for autonomous AI agents. It explores modern SDKs such as LangChain and AutoGen, empowering engineers to build, connect, and orchestrate sophisticated agent workflows with assurance.

This live, instructor-led training in Almada focuses on practical Python methods for creating autonomous agents. It covers agent loops, tool integration, memory management, orchestration, and safety controls. Tailored for ML engineers, it emphasizes the deployment of resilient, production-ready agents.

Dive into agentic AI in healthcare with this instructor-led session in Almada. Master the design, assessment, and governance of agent workflows for clinical settings. Through practical labs and scenario-based challenges, participants will construct retrieval-augmented agents, implement guardrails, and develop robust governance strategies.

This instructor-led, live training in Almada (available online or onsite) is designed for intermediate-level AI developers and automation specialists seeking to integrate agentic capabilities into AI-powered applications.

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

• Grasp the fundamental principles of agentic AI and autonomous decision-making.
• Develop goal-oriented AI agents utilizing self-optimization methods.
• Implement multi-agent collaboration frameworks for tackling complex challenges.
• Improve AI-human engagement through adaptive user experiences.
• Deploy agentic AI models within real-world applications.

This instructor-led, live training in Almada (online or onsite) targets advanced professionals aiming to develop and optimize multi-agent systems using Agentic AI frameworks.

Upon completion, 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 Almada (online or on-site) 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 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 Almada (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 Almada (online or onsite) is designed for AI engineers, ML researchers, and developers at an intermediate level who aim to build and implement Agentic AI systems in real-world applications.

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

• Grasp the fundamental principles of Agentic AI systems.
• Deploy AI agents capable of autonomous reasoning and action.
• Integrate Agentic AI with APIs and third-party services.
• Optimize interactions among multiple agents to handle complex tasks.
• Tackle ethical, security, and scalability challenges inherent in Agentic AI.

This instructor-led, live training in Almada (available online or onsite) caters to beginner-level professionals seeking to understand the core principles of Agentic AI, its capabilities, and its potential industry impact.

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

• Understand the core principles of Agentic AI.
• Differentiate between traditional AI and autonomous AI agents.
• Explore real-world applications of Agentic AI in various industries.
• Assess the benefits and challenges of deploying autonomous AI systems.
• Analyze the ethical and security considerations of Agentic AI.

This five-day course on Almada 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 to support financial analysis, reporting, and strategic decision-making.

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 production systems that operate autonomously across text, image, speech, and tool-driven workflows. This shift raises the standards for engineering rigour, adversarial robustness, and regulatory accountability. This instructor-led training guides advanced practitioners through the entire agent lifecycle, ranging from architecting single and multi-agent systems to integrating multi-modal perception and orchestrating coordinated agent behaviour using modern frameworks. Hands-on labs in Python progressively build towards a production-grade multi-agent system, which participants 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, alongside secure deployment, monitoring, and incident response protocols, ensuring participants can deploy agents that are capable, defensible, and compliant.

This instructor-led, live training in Almada (online or onsite) is designed for beginner to intermediate developers and cloud practitioners who wish to use Alibaba Cloud to build AI agents that can automate tasks, answer queries, and integrate with business systems.

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

This live, instructor-led training in Almada is tailored for intermediate-level developers aiming to design, construct, and test AI agents using the Claude API and the Agent SDK.

By the end of the session, participants will be capable of:

• Making Messages API calls that include system prompts, structured outputs, and streaming
• Defining tools and implementing a dependable tool-use loop
• Integrating agents with external systems through MCP servers
• Creating and executing agents via the Claude Agent SDK, including the use of permissions and subagents
• Minimising costs and latency by utilising prompt caching and sensible context handling
• Testing, logging, and monitoring agent behaviour using a small evaluation set

Instead of responding to individual prompts, Claude Cowork handles end-to-end tasks such as research, document creation, and file management. This course focuses on crafting effective assignments, validating plans, and reviewing outcomes. Participants will delegate three practical tasks and configure a recurring scheduled task.

Designed as an instructor-led, live training session in Almada, this course is tailored for knowledge workers, assistants, and project or department heads seeking to entrust complete workflows to Claude rather than engaging in iterative dialogue.

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

• Distinguish between conversational interactions and delegated work within Cowork
• Structure assignments by defining objectives, resources, constraints, and acceptance criteria
• Generate documents, spreadsheets, and presentations from existing folder contents
• Delegate research processes from initial inquiry to final report generation
• Leverage plugins, skills, and connectors within the Cowork environment
• Establish approval checkpoints, backup protocols, and secure folder access controls

Course Structure

• Duration: 1 day (7 hours)
• Interactive sessions led by a trainer, including discussions and hands-on exercises based on participants' specific use cases
• Day 1 Deliverables: Each participant will have delegated three real-world tasks to Cowork, assessed the outputs, and implemented a scheduled task.

Customization Opportunities

• Contact us to discuss and arrange customized training options for this course.

Agents enable teams to handle knowledge queries and streamline document workflows in a controlled manner. This two-day programme features an introduction to Agent Builder on the first day, followed by Copilot Studio on the second day, focusing on approval steps and testing. Participants will conclude the course with a fully tested knowledge agent and a preliminary draft of a Studio agent.

This live, instructor-led session in Almada is tailored for key users, AI champions, and department leads who aim to develop custom Copilot agents for answering knowledge questions and managing document processes.

Upon completing this training, participants will be equipped to:

• Determine scenarios where Copilot Chat suffices versus those requiring a dedicated agent
• Configure a knowledge agent within Agent Builder, defining the target audience, knowledge sources, and operational boundaries
• Comprehend the architectural structure of agents in Copilot Studio and develop an initial agent
• Deconstruct document workflows into reviewable stages that incorporate human approval mechanisms
• Validate agents using structured test cases and defined acceptance criteria
• Categorise roles, permissions, licensing requirements, and operational considerations

Course Format

• Duration: Two days (7 hours per day)
• Interactive training sessions featuring a trainer, discussions, and practical exercises focused on participants’ specific use cases
• Day 1 Outcome: Each participant will have a tested knowledge agent and a tool map tailored to their work scenarios.
• Day 2 Outcome: Each participant will possess a draft Studio agent with approval features, two validated process cases, and a roadmap for their unique use cases.

Customisation Options

• Please contact us to discuss arrangements for a customised training version of this course.

Implementing an assistant based on corporate documentation enables it to address inquiries regarding policies, manuals, and processes while citing specific sources. This course guides you through the preparation of documents, the selection of a suitable platform, the construction of the agent using a no-code approach, and the evaluation of its responses via a question catalog. Additionally, participants will develop a maintenance plan.

This live, instructor-led training in Almada is designed for teams, knowledge custodians, and key users seeking to provide answers derived from their own documents, policies, and manuals.

Upon completing this training, participants will be equipped to:

• Comprehend how AI generates answers from documents (a simple explanation of RAG) and understand its limitations.
• Prepare documents to ensure the accuracy of responses.
• Select the most appropriate platform for a knowledge agent.
• Construct and distribute a knowledge agent without writing code.
• Validate answers using a question catalog and source citations.
• Establish maintenance protocols, roles, and content currency for ongoing operation.

Course Structure

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

Customization Options

• To request tailored training for this course, please contact us to make arrangements.

Langdock consolidates various AI models, intelligent assistants, organisational knowledge, and workflow automation into a single, unified platform. This course focuses on practical daily applications, including interactive chat usage, designing and distributing assistants, integrating diverse knowledge sources, and establishing workflows that incorporate human oversight. It also addresses the essential policies governing data handling, role-based access, and organisational deployment strategies.

This live, instructor-led training in Almada is designed for departments and key stakeholders within organisations that are either currently utilising or preparing to introduce Langdock as their central AI solution.

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

• Operate Langdock with confidence, encompassing chat interactions, model selection, assistant management, knowledge integration, and workflow execution
• Select the most appropriate model for specific business tasks
• Develop assistants tailored with custom instructions and corporate knowledge, and share them effectively across teams
• Integrate SharePoint, OneDrive, and other repositories to create a robust knowledge base
• Implement straightforward workflows that include human approval stages
• Establish clear guidelines for data management, user roles, and approval processes within the organisation

Course Structure

• Duration: 2 days (7 hours per day), also available as a flexible 4-half-day online format
• An interactive learning experience featuring a dedicated trainer, facilitated discussions, and practical exercises focused on participants' specific use cases
• Day 1 Outcome: Each participant will have created a personal template, organised a knowledge folder, and developed a shared assistant relevant to their area of responsibility.
• Day 2 Outcome: Each participant will have configured a functional workflow with approval mechanisms, linked a knowledge source, and formulated a strategic plan for the following 30 to 60 days.

Customisation Options

• To explore customised training tailored to this course, please contact us to discuss specific requirements.

This instructor-led live training in Almada, delivered online or on-site, targets beginners to intermediate professionals aiming to automate a real process and build their first AI agent with Make in one day.

By the end of this program, participants will be capable of:

• Constructing Make scenarios linked to routine business applications.
• Integrating an AI model and an initial agent into a scenario.
• Executing scenarios with effective error handling and monitoring capabilities.

This instructor-led, live training in Almada (available online or onsite) is designed for intermediate-level business professionals who want to build automated workflows and AI agents in n8n without writing code.

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

• Build n8n workflows connected to everyday business applications.
• Integrate AI models and agents that operate on company data.
• Run workflows in daily operations with error handling, approvals, and monitoring.

This live, instructor-led training in Almada targets intermediate professionals looking to streamline business processes and create their first AI agent via Make.

By the course's conclusion, attendees will be able to:

• Design no-code workflows in Make using triggers and webhooks.
• Link AI agents to organizational data within a flow.
• Execute end-to-end automation of real processes, including error handling and monitoring.

A personal AI agent offers the ability to streamline email management, schedule appointments, draft briefings, and execute recurring workflows like a daily morning summary. This intensive one-day workshop demonstrates how to configure such an agent using a personalised context, integrated connectors, and clear protocols for approvals and data protection. Upon completion, participants will have a fully functional agent with two established routines in place.

This live, instructor-led session in Almada is designed for professionals, assistants, project managers, and independent workers who wish to deploy a personal AI agent to support their specific work requirements.

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

• Discern the capabilities and limitations of a personal AI agent
• Construct a robust personal context encompassing profiles, instructions, and notes
• Manage email and calendar workflows with AI while retaining full control
• Prepare for meetings and interactions through automated briefings
• Establish recurring routines, such as morning overviews and weekly reviews
• Define specific approval processes, data protection standards, and operational boundaries for their agent

Course Format

• Duration: 1 day (7 hours)
• Interactive learning involving direct instructor guidance, discussion, and practical exercises tailored to participants’ real-world use cases
• Outcome, Day 1: Each participant will leave with a configured personal agent, including a defined profile, connected mailbox and calendar, and two active routines.

Customisation Options

• Please contact us to discuss tailoring this course to your specific needs.

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

By the end of the session, participants will have the ability to:

• Use AI to organize email and calendar entries
• Conduct meeting preparations and research more efficiently
• Create a personal assistant that aligns with personal preferences
• Ensure the protection of personal and company data