Design of AI Agents

This course is for you if you already use generative AI in your work and want to take the next step: building your own AI agents that actually work in practice.

The course is relevant regardless of what function you work in. Whether you're in finance, marketing, HR, operations, product development, or any other area, the content can be adapted to your daily work and workflows.

You're a great fit for this course if you:

• Want to go from using AI in a chat to building and using AI agents
• Have concrete workflows you want to automate or improve
• Want to understand how to design agents that deliver real value

✅ Design effective AI agents with the right prompting techniques and LLM models
✅ Build working agent prototypes for your own workflows
✅ Identify processes with the highest potential for AI agent implementation
✅ Understand security aspects and protection mechanisms for agents
✅ Test and quality-assure agents systematically using evals
✅ Integrate agents with external systems via APIs and MCP
✅ Optimize agent costs through the right choice of model and architecture
✅ Build interactive apps and dashboards with agents
✅ Compare and choose between different agent platforms

• Fundamental Understanding: Generative AI, AI agents, context engineering, prompting, and LLM models
• Agent Design & Implementation: Agent Design Canvas, tools, function calling, and RAG
• Practical Exercises: Build your own agents for your workflows
• Interactive Apps: Dashboards, forms, and React apps
• Security: Prompt injection, protection mechanisms, and security layers
• From Canvas to Prototype: MVP thinking and prototype building
• API Integrations: HTTP requests and MCP
• Evals: Systematic testing and validation of agent responses
• Content Generation: Text generation, image generation, cultural adaptation, and delegate task
• Cost and Performance Optimization: Model selection, tokens, and optimization strategies
• The Agent Platform Landscape: Comparison of tools and platforms
• Next Steps: From prototype to pilot to implementation

The course combines theory with extensive practical exercises where you create agents for your own workflows. Through demonstrations of real use cases such as news agents, invoice routing, and screening agents, you get concrete examples to build upon. You work in small groups to solve problems and gain hands-on experience with Abundly's agent platform throughout the course.Get feedback and iterate on your prototypes

As our course platform we use Abundly, an agent platform that brings together the best of leading AI models in one interface: Claude for reasoning, Gemini for image generation, ChatGPT for speech-to-text, and Perplexity for research. You focus on what you want to accomplish, not on managing tools. We also bring in other AI tools throughout the course, depending on what participants have access to and what best fits the task.

What you build during the course is not locked to Abundly. Agent instructions and design principles are platform-agnostic, so you take the knowledge with you whether your organization builds agents on Microsoft Copilot Studio, Google AgentSpace, Claude, n8n, or any other platform. You get access to Abundly during and after the course.

• Course materials and exercises
• Access to Abundly's agent platform (app.abundly.ai) during and after the course
• Course certificate

Good experience using AI tools like ChatGPT or Claude

AI agent expertise is becoming increasingly sought after in the job market as companies seek ways to automate complex processes and improve efficiency. Competence in agent design and implementation opens doors to new roles and career opportunities.

• AI Agent Specialist
• Process Developer with AI focus
• AI Architect
• Automation Engineer
• AI Consultant with agent expertise

For Your Organization

The course is often the starting point for a larger AI transformation. We help organizations move from individual agent experiments to systematic change:

Start with a pilot: in 4–6 weeks, we help you build a first value-creating agent while training your team. You get hands-on support, see concrete results, and understand how human+AI teams can transform your work. Perfect for testing and seeing the value of AI agents with us as your partner.

Scale through close collaboration: for organizations that want to transform broadly. You get platform access, training programs for all levels, co-development of agents, and ongoing coaching. We become your dedicated partner in building human+AI capability throughout your organization.

Our philosophy is augmentation, not just automation: AI agents that amplify human capacity, not replace it.