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  • Wazuh

AI Agents and Automation Training for Technical Teams

3.075,00€

2 to 3-day hands-on AI agents and automation training. Prompt engineering, AI productivity and building functional agents with your preferred tool. On-site and online.

Category: AI
  • Description

Description

Artificial intelligence is no longer just a consultation tool: AI agents can automate complex tasks — generating code, documenting, analysing and making decisions within a team’s real workflows. At SIXE we train teams to integrate these capabilities into their daily work in a practical and immediate way.

Course Details

SIXE Code: SXIA01Category: Artificial Intelligence / AI Agents
Delivery: Online and on-siteDuration: 2 – 3 days

Target Audience
This course is designed for application architects, developers, QA teams and any technical role looking to incorporate AI automation and intelligent agents into their daily work. The course is tool-agnostic: each participant works with the platform of their choice.

Prerequisites:
Before taking this course, the following skills are recommended:

    • Experience in software development or application architecture
    • Basic familiarity with an AI assistant
    • No prior knowledge of machine learning or language models is required

Instructors

Our AI courses are delivered by engineers who use agents and AI automation in real production projects. We complement the training with custom-built labs designed to solve real day-to-day problems for technical teams: code generation and review, automatic documentation, dependency analysis and assisted testing.

Added Value

This is not a theoretical course on artificial intelligence. It is 100% oriented towards team productivity: every module includes hands-on exercises that participants solve with their preferred tool. By the end, each person will have built a functional agent and will have techniques they can apply from day one in their role.

Course Agenda and Syllabus

Day 1 — Fundamentals and Productivity with AI

    • Current Generative AI Landscape — What LLMs, assistants and copilots are. What they can and cannot do. Models, context and practical limitations
    • Applied Prompt Engineering — Effective prompting techniques for better results. Patterns for code generation, documentation, review and refactoring
    • Automating Everyday Tasks — Code generation and completion. Automatic documentation. Pull request review. Code transformation and test generation
    • Workflow Integration — AI in the IDE, terminal and team tools. How to fit AI into your daily workflow without friction
    • ? Lab: Hands-on productivity exercises with each participant’s preferred tool: generate code from specifications, document an API, refactor code and generate tests

Day 2 — AI Agents and Advanced Workflows

    • What is an AI Agent — Difference between assistant and agent: autonomy, tools and reasoning loop. Agent design patterns. When to use an agent vs. a simple prompt
    • Tools and Service Integration — How an agent interacts with APIs, databases and external tools. Connection protocols between agents and services. Designing effective tools for agents
    • Frameworks and Platforms — Overview of available options on the market. Criteria for choosing the right tool for each use case
    • Use Cases in Daily Work — Project scaffolding generation. Automatic dependency and vulnerability analysis. Automated testing with agents. Internal assistants over team documentation
    • Ethics, Risks and Governance — Hallucinations: detection and mitigation. Sensitive data and confidentiality. When NOT to use AI. Responsible use policies for the organisation
    • ? Lab: Build a functional agent that solves a real team task: analyse a repository, answer questions about internal documentation, or automate an existing workflow

Day 3 — Deep Dive

    • Advanced topics based on team needs — Multi-agent orchestration. Agents with access to internal organisational data. Continuous evaluation and improvement of agents. Deploying and operating agents in production
    • ? Lab: Advanced exercises tailored to the team’s environment and use cases

Need to tailor this syllabus to your team’s needs? Interested in other AI courses? Get in touch.

On-site Training Locations

  • Spain: Madrid, Seville, Valencia, Barcelona, Bilbao, Málaga
  • Argentina: Buenos Aires, Córdoba
  • Bolivia: La Paz
  • Chile: Santiago de Chile
  • Colombia: Bogotá, Medellín, Cartagena, Cali
  • Costa Rica: San José
  • Ecuador: Quito
  • Mexico: Mexico City, Guadalajara, Monterrey
  • Paraguay: Asunción
  • Peru: Lima
  • Portugal: Lisbon, Braga, Porto
  • Uruguay: Montevideo

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