TRAINING PROGRAMME
AI Agents Specialist Certificate Programme
Build AI agents that plan tasks and use digital tools. A 40-hour programme covering RAG, no-code development, multi-agent systems and human oversight.
ABOUT THE PROGRAMME
A step towards your goals.
A 40-hour professional development programme in building AI agents that plan tasks, use tools and perform multi-step work within defined permissions.
Design tasks and boundaries
Explore prompts and instructions, agent loops, task planning, APIs and business-system integration. The curriculum includes no-code/low-code prototypes and the foundations of multi-agent coordination.
Assistants grounded in business knowledge
Retrieval-augmented generation (RAG) covers finding relevant document content and using it in responses. Apply these ideas to email, CRM, databases, sales, support, HR and reporting scenarios, with a prototype relevant to your professional field.
Test and monitor
Human approval, task and access permissions, privacy, output quality, errors, performance and costs are examined together. Design controls suited to the agent’s task and operating scope.
What you will learn
- Design agents for clearly defined tasks
- Build AI-assisted business assistants
- Develop agent prototypes for sales, support, HR and reporting
- Integrate agents with email, CRM, databases and business software
- Turn recurring tasks into AI-assisted workflows
- Build knowledge assistants using company documents
- Develop basic agents with no-code and low-code platforms
- Understand the foundations of multi-agent systems
- Design task allocation, permissions and human approval
- Evaluate performance, errors and operating costs
- Apply privacy and security measures to AI applications
- Develop an agent prototype for your own professional field
Who is it for?
Computer, software and other engineers; developers; data and business analysts; AI and IT practitioners; managers and entrepreneurs; sales, marketing, HR, customer relations and call-centre leaders; digital transformation, accounting, finance, e-commerce and operations professionals; education technology staff; consultants; students and graduates; and adults interested in AI agents.
Programme curriculum
01 Introduction to AI Agents
Agent tasks, tools and predefined operating boundaries.
02 Prompt Engineering and Instruction Management for Agents
Structuring an agent’s goals, instructions and expected output.
03 Task Planning, Agent Loops and Decision Mechanisms
Planning multi-step tasks and examining agent loops.
04 AI Tool Use, APIs and System Integration
Connecting agents to tools and business systems with appropriate permissions.
05 Building AI Agents with No-code and Low-code Platforms
Basic agent prototypes using platforms that reduce coding requirements.
06 Working with Business Documents and RAG Systems
Retrieving relevant business knowledge and using it in responses.
07 Multi-agent Systems and Task Orchestration
Task distribution and coordination across multiple agents.
08 Human Approval, Permissions, Data Security and Ethics
Human oversight, access permissions and privacy for sensitive actions.
09 Agent Testing, Performance Measurement and Monitoring
Tracking output quality, errors, performance and costs.
10 Practical AI Agent Development and Final Project
Developing and evaluating an agent prototype for your own field.
CAREER OPPORTUNITIES
Career opportunities and application areas
Potential work areas
- AI Agent Implementation Specialist: Design and develop business agent applications.
- AI Automation Specialist: Automate recurring business workflows.
- AI Applications Specialist: Integrate AI solutions into organisational processes.
- AI Workflow Designer: Create workflows connecting multiple applications.
- AI Assistant Developer: Develop customer-facing and internal assistants.
- Business AI Integration Specialist: Connect agents to existing software and data.
- AI Project Support Specialist: Support development, implementation and testing.
- AI Operations Specialist: Monitor agent performance and operations.
- Digital Transformation Specialist: Contribute to business AI transformation projects.
- Independent AI Consultant: Provide agent and automation services within your competence.
Institutions and projects
AI and software companies, technology parks, e-commerce, banking and finance, HR and consulting, marketing agencies, customer service and call centres, CRM/ERP providers, manufacturing, education technology, logistics, healthcare IT, digital transformation departments and independent technology consultancies.
Roles and titles depend on existing education, experience, technical competence and the relevant organisation’s requirements. This is professional development training; employment and a particular income are not guaranteed.
Example project services
- Business knowledge assistants
- Sales enquiry classification and routing
- Customer support assistants with staff handover
- Data collection and draft management reports
- HR document preparation and process tracking
- Controlled workflows connecting multiple applications
Certificate requirements
Complete the programme and its required assessments to become eligible. Certificate scope and recognition depend on the issuing institution and programme.
Participants who successfully complete the programme receive an international certificate. Acceptance depends on the requirements of the receiving organisation.
FREQUENTLY ASKED QUESTIONS
Frequently asked questions
How long is the programme?
The programme totals 40 hours across 10 curriculum modules.
What will I create by the end?
The final project aims to produce an agent prototype for your professional field.
Who can join?
Computer, software and other engineers; developers; data and business analysts; AI and IT practitioners; managers and entrepreneurs; sales, marketing, HR, customer relations and call-centre leaders; digital transformation, accounting, finance, e-commerce and operations professionals; education technology staff; consultants; students and graduates; and adults interested in AI agents.
Is a software or engineering degree required?
The programme addresses different professional backgrounds. Basic computer skills help with introductory work; programming is useful for APIs, automation and advanced applications.
Which skills does it develop?
Key outcomes include design agents for clearly defined tasks; build AI-assisted business assistants; develop agent prototypes for sales, support, HR and reporting.
Is there a final project?
Yes. The curriculum includes a practical final project and evaluation.
What certificate is provided?
Participants who successfully complete the programme receive an international certificate. Acceptance depends on the requirements of the receiving organisation.
How are tool accounts and API use arranged?
Required accounts and any subscription or API usage conditions are clarified before enrolment.
Are jobs or specific earnings guaranteed?
No. This is professional development. Roles depend on existing education, experience, technical competence and organisational requirements.
Are RAG and business documents covered?
Yes. The curriculum explores retrieving relevant document knowledge and using it in agent responses.
Does it cover multi-agent systems?
Yes. The curriculum introduces task distribution and orchestration across multiple agents.
Are permissions and costs addressed?
Yes. Permissions, human approval, output quality, errors, performance and costs are considered together.