Course Overview
AI agents are rapidly becoming a mainstream architecture pattern for building intelligent applications capable of reasoning, planning, and executing tasks across multiple systems. This programme teaches engineers how to design and implement agent-driven applications that interact with external tools and services.
Participants learn modern agent architecture patterns including tool orchestration, multi-step reasoning workflows, and autonomous task execution. The course introduces development patterns used to integrate AI models with APIs, databases, and external services.
Through practical exercises, learners build working agent-based applications capable of retrieving information, invoking tools, and executing workflows automatically.
Hands-On Learning
Participants design and implement AI agents capable of calling APIs, retrieving data, and orchestrating multi-step workflows.
Mentor-Led Sessions
Industry mentors guide learners through real-world agent architectures used in enterprise AI platforms and generative AI applications.
Career-Ready Skills
Develop practical skills for building intelligent AI assistants and automated workflows powered by modern agent frameworks.
Learning Outcomes
Understand the architecture of AI agents and autonomous systems
Design AI agents capable of executing multi-step tasks
Integrate external tools and APIs into agent workflows
Build agent-driven applications for automation and decision support
Manage reliability, monitoring, and safety in agent systems
Implement practical agent orchestration patterns used in modern AI platforms
Prerequisites
Basic programming knowledge (Python or JavaScript recommended)
Familiarity with APIs and application development
Basic understanding of generative AI or large language models helpful
Detailed Syllabus
Organized by professional domains with comprehensive coverage
Topics Covered:
- •What are AI agents
- •Differences between LLM apps and agent systems
- •Autonomous task execution concepts
- •Agent-based application use cases
Skills You'll Gain
Master these in-demand skills through hands-on practice
Career Progression
A clear view of the roles this programme supports, what typically comes next, and where learners progress over time
Ways to Learn
Choose the learning format that works best for you and your team
Live Online
Instructor-Led Training
Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
- Live instructor interaction (real-time)
- Trainer-led walkthroughs and real examples
- Guided resources and session notes provided
- Structured Q&A and practical discussion
Price per person
Group enrolments and early planning options available.
All prices are exclusive of VAT where applicable. Group enrolments and custom packages available on request.
Prefer a Faster, Personalised Route into IT?
Not everyone learns best in a group. If you want focused guidance, faster clarity, and confidence you can use on the job, our 1-to-1 Fast-Track Training gives you private, mentor-led support tailored to your experience and goals.
"Many learners choose 1-to-1 when they want understanding, not memorisation."
Exam & Certification Information
Everything you need to know about the certification exams
Important Information
You will receive an Xcademia certificate of completion based on participation and successful completion of labs and scenario simulations.
Credential
Certificate of Completion
On successful completion of AI Agents & Tool-Using Apps, learners receive an Xcademia Certificate of Completion. This standalone certificate is issued directly by Xcademia and is aligned with globally recognised frameworks and best practices.
Frequently Asked Questions
Everything you need to know about this course
AI agents are intelligent systems capable of reasoning, planning tasks, and interacting with tools or external systems to complete objectives.
Ready to Start Your Learning Journey?
Take the next step in your professional development