The Complete Agentic AI Engineering Course (2025)

Overview

2025 is the year that Agents enter the workforce. This is nothing short of a watershed moment for Artificial Intelligence.

It has never been more important to be an expert with Agentic AI. And that is precisely the goal of this course:

to equip you with the skills and expertise to design, build and deploy Autonomous AI Agents, opening up new career and commercial opportunities.

Syllabus

• Introduction to Agentic AI
Overview of Autonomous AI Agents
The role of Agents in modern AI applications
Historical evolution and future trends of Agentic AI
• Fundamentals of AI Agents
Defining autonomy in AI
Key components of an AI Agent
Agent-environment interactions
• Designing AI Agents
Architectures for Autonomous Agents
Behaviour and decision-making models
Multi-agent systems and coordination
• Building AI Agents
Programming frameworks and languages for AI Agents
Developing perception and actuation capabilities
Integrating machine learning with agent design
• Advanced Agentic AI Techniques
Reinforcement Learning and agent training
Natural Language Processing for communication
Ethical considerations in Agentic AI
• Deploying AI Agents
Tools and platforms for deployment
Performance monitoring and adaptation
Scalability and reliability in deployment
• Commercial Applications of Agentic AI
Industry case studies and real-world applications
Creating business value with AI Agents
Future opportunities in Agent-led markets
• Hands-on Projects and Labs
Project 1: Building a Basic Autonomous Agent
Project 2: Multi-Agent System for Collaborative Tasks
Project 3: Deploying an AI Agent Solution in a Business Environment
• Course Conclusion
Recap of key learnings
Future directions and continued learning resources
Certification and career pathways in Agentic AI

Taught by

Ed Donner and Ligency Team

Subjects

Computer Science