ACPM: Practical Applications of Neural Networks in Business

This programme provides practical skills to design and operate AI agent systems for recurring business processes. Participants learn to build knowledge bases, specialised agents, automated workflows and analytics while maintaining human oversight.

The programme focuses on practical AI implementation, business automation, integrations, analytics and safe use of AI.

It is designed for business owners, managers, department heads and professionals responsible for AI adoption. No programming experience is required.

Requirements for candidates

Completing the certification programme does not require specific education, technical background or programming experience, but prior experience in business, management or working with AI tools will be an advantage.

Terms of study

hours

Auditorium hours

hours

Hours for self-study

hours

Total course duration

Training program

Module 1 Module 2 Module 3 Module 4 Module 5 Module 6 Module 7 Module 8

AI Agent Architecture and Business Process Audit

The difference between an AI agent and a conversational model. Audit of company business processes against AI use cases. Knowledge base architecture: layers, time horizons, structure by functional area. Agent constitution: purpose, permissions, limitations and the reliability rule ("the knowledge base contains no relevant data").

AI Assistant for Tasks, Communications and Workflow Automation

Connecting incoming sources: email, calendar, messengers, voice messages. Extracting tasks and assignments from correspondence with a reference to the source. Deadline and completion monitoring. Moving processing into scheduled automatic mode. Basic and advanced levels of mastery.

AI-Powered Market and Competitive Intelligence

Methodology for analysing the external environment. Sources of market and competitor data and assessment of their reliability. Specialised assistants for trend analysis, market mapping, competitor profiling, geographic and audience analysis, signal monitoring and verification. Analysis of brand visibility in AI-generated answers.

AI Content and Brand Management

Developing the brand core and brand voice from company materials. Content pipeline: text, images, video, publication. Managing generation costs.

AI for Marketing, Sales and Customer Interaction

Audience segmentation from market-intelligence data and company materials. Development of the value proposition. A sales playbook built on real customer conversations and objections. An AI consultant bot, including a testing procedure before customer-facing deployment and a conversation log.

Secure AI for Finance, Legal and Business Analysis

Rules for secure AI use: data anonymisation, access control, read-only mode. Contract and invoice registers with deadline monitoring. Calculation of financial ratios and work with open data. Analysis of company vulnerabilities from the perspective of external stakeholders.

AI Automation and Agent Operations

Company automation map. Scenarios and operating procedures for launching agents. Coordination of schedules across all subsystems. Failure-handling procedures and an incident register.

AI for Strategy and Management Decision-Making

Working with company strategy using data from all subsystems: testing development hypotheses and breaking strategy down into objectives and KPIs. Coordinator (CEO) agent: assigning tasks, reviewing and accepting results, consolidated reporting. Management decision log. Weekly briefing for the business owner.

TRAINING FORMAT AND METHODS

Remote learning, recorded video lessons posted on the LMS platform.

Practical classes and analysis of real situations from the industry

Skills after completing the program

Hard skills

AI audit of business processes
ROI calculation for AI implementation projects
AI agent architecture design
Corporate knowledge base development
Advanced prompting and agent configuration
Integration of email, calendars, messengers, voice tools, spreadsheets and CRM
Scheduled and event-triggered automation
Multi-agent orchestration
Management dashboard development
Market and competitor intelligence using OSINT
PESTEL and Porter’s analysis
Brand core and brand voice development
AI-powered content pipeline creation
Audience segmentation and value proposition development
Sales playbook development
AI consultant bot development and testing
No-code landing page, chatbot and dashboard development
Contract and invoice register automation
Financial ratio and DuPont analysis
Red teaming of offers, financial positions and contract terms
Data anonymisation and access control
End-to-end analytics
Strategy decomposition into KPIs

Soft skills

Critical thinking
AI output verification
Source reliability assessment
Data-driven decision-making
Delegation
Change management
Communication of AI-related changes to teams
Leadership in AI adoption
Stakeholder communication
Presentation and defence of projects
Responsible decision-making
Responsible handling of confidential information

Tools

ChatGPT, Claude, Gemini, Perplexity, Genspark, Abacus, Manus, Atlas, Notion, Zoom AI, Gamma, Canva AI, Spreadsheets, CRM systems

Exam and certificate

After each programme block, participants complete a 10-item test. The passing score is 70%, with unlimited retakes. Practical assignments are completed using the participant’s own business data.

The final assessment consists of the presentation and defence of the AI agent system developed during the programme, including an ROI calculation. The defence lasts up to 30 minutes.

More about ACPM certificates

PROVIDER INFORMATION

PROTUZ

PROTUZ is an international education company and online learning centre specialising in practical AI education for business owners, managers and professionals. The centre delivers live online training supported by digital learning materials and session recordings. Corporate training and practical workshops are also provided at client premises or at venues arranged for specific events. PROTUZ focuses on developing practical skills in AI implementation, business automation and the use of AI agents in real business processes.