Design of AI Agents

AI agents amplify your work capacity by handling repetitive tasks - so you can focus on the creative and strategic work that truly creates value. This course teaches you to build AI agents that raise quality while eliminating the boring parts of the job.

Target Audience

This course is designed for those who already use Generative AI in their work today and want to take the next step toward implementing autonomous AI agents.

Professional roles that can particularly benefit from the course include product managers, IT architects, process developers, project managers, and consultants working with digitalization and automation.

After this course you can...

✅ Design effective AI agents with the right prompting techniques and LLM models
✅ Improve agents' memory management for better information handling
✅ Identify processes with highest ROI (return on investment) potential for AI agent implementation
✅ Evaluate agent platforms and LLM models based on business needs
✅ Secure your AI agents with validation for production-deployed agents

Course Content - Overview

• Fundamental Understanding - AI agents, prompting, and LLM models
• Agent Design & Implementation - Architecture, RAG, tools, and function calling
• Practical Applications - Real-world use cases and process mapping
• Security and System Architecture - Protection mechanisms and validation
• Agents in the Organization - Teamwork, agent platforms, and career opportunities

Teaching Methods and Course Structure

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.

Course Leaders

Henrik Kniberg - Co-founder and Chief Scientist at Abundly. Recognized thought leader in Generative AI, author of "Generative AI in a Nutshell" and former coach at Spotify and LEGO. Henrik's talent for explaining complex concepts simply has made his AI videos go viral with millions of views.

Hans Brattberg - Co-founder and Gen AI trainer with extensive experience implementing AI solutions in organizations. Expert at identifying and automating critical workflows through AI agents. Has appeared as an expert in TV documentaries such as "Mission AI" and SVT's "Generation AI".

Voices from Previous Participants

What's Included

• Course materials and exercises
• Access to Abundly's agent platform (app.abundly.ai) during and after the course
• Lunch and refreshments including morning sandwich and fruit
• Course certificate

Prerequisites

Good experience using AI tools like ChatGPT

Course Content - More in Detail

Fundamental Understanding

• What is an AI agent and how does it differ from traditional AI solutions?
• Basic prompting and refinement
• Different types of LLMs and when they should be used
• The difference between different types of agents: autonomous, semi-autonomous, and assistants
• How companies define agents differently and why we focus on autonomous AI agents

Agent Design & Implementation

• Flow-Driven vs LLM-Driven Agent prompting
• RAG (Retrieval-Augmented Generation) for agents
• Tools and Function calling
• Integration with existing systems and APIs
• Practical exercises: Create agents for your own workflows
• Working with modern LLM models like Claude 4, GPT o3, and others

Practical Applications

• Demonstrations of real use cases: News Agent, Invoice Routing, Screening Agent, Workflow Agent
• Process mapping and identifying optimal points for agent implementation
• Analysis of successful implementations across companies in various industries
• Calculating ROI (return on investment) and business value for agent implementations

Security and System Architecture

• Agent security and protection mechanisms
• Hallucination: how to handle and minimize incorrect information
• Context is King: The importance of context for agent functionality
• Validation of agent understanding
• Multi-agent systems and agent orchestration as future development areas

Agents in the Organization

• How to work with agents in teams
• Agent platforms: selection criteria
• Feedback and improvement cycles for agents
• Future career opportunities in the AI agent field
• Roles and tasks requiring AI agent competence

Career Opportunities and Demand

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

Support After the Course

• Continued access to Abundly's agent platform (app.abundly.ai)
• Network for previous participants
• Support opportunities via the platform