Course Outline
Module 1. Fundamentals of AI for the Workplace (1.5 h)
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Basic concepts of AI in a professional context.
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Key capabilities: text generation, synthesis, classification, prediction, assisted search, analysis, and agents.
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Differences between support, recommendation, and supervised automation.
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Identification of professional tasks where AI can add value: analysis, documentation, communication, planning, customer service, learning, and process improvement.
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Cross-cutting criteria: utility, limitations, human review, and accountability.
Module 2. Data, Privacy, and Safe Usage Criteria (1.5 h)
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Types of information in the workplace: documents, emails, meetings, forms, spreadsheets, requests, regulations, knowledge bases, and internal notes.
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Sensitivity classification: public or synthetic data, internal information, personal data, and confidential information.
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Data minimization, anonymization, usage authorization, and exclusion of unauthorized data.
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Data quality: source, date, version, context, completeness, and traceability.
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Data usage traffic light: green, amber, and red.
Module 3. AI Tools and Controlled Prompt Design (1.5 h)
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Local AI, cloud-based AI, and authorized corporate tools: advantages, limitations, and selection criteria.
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Anatomy of a prompt: role, context, task, constraints, format, and validation.
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Prompts to separate facts, hypotheses, missing data, decisions, and safe actions.
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Techniques for requesting drafts, lists, tables, matrices, summaries, checklists, and plans.
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Comparing responses for clarity, prudence, traceability, and utility.
Module 4. Applying AI to Professional Tasks and Workflows (2 h)
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Opportunity map for integrating AI into job processes and tasks.
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Low-risk uses: summarizing, organizing, classifying, extracting, comparing, and preparing drafts.
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Analyzing requests, incidents, cases, documents, or work data without premature conclusions.
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Redesigning the workflow: data entry, AI support, human review, decision-making, and logging.
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Prioritizing use cases based on value, risk, effort, control, and ease of implementation.
Module 5. Writing, Communication, and Documentation Production with AI (1.5 h)
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Generating drafts for reports, minutes, emails, proposals, instructions, and internal documentation.
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Adapting messages for technical and non-technical audiences, clients, internal teams, or stakeholders.
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Rewriting, simplifying, synthesizing, and improving clarity without losing precision or caution.
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Communicating uncertainty, assumptions, limitations, and next steps.
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Quality checklist before sending or reusing an AI output.
Module 6. Verification, Output Auditing, and Secure Reuse (2 h)
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Reviewing AI-generated or AI-assisted texts without attempting to attribute authorship.
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Detecting unsupported claims, omissions, exaggerations, and inferences presented as facts.
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Distinguishing between fact, inference, opinion, and decision.
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Audit table: phrase, issue, evidence, correction, and pending validation.
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Reuse traffic light: use, correct, block, or escalate.
Module 7. Generative AI Risks: Hallucinations, Biases, and Automation (2 h)
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Plausible hallucinations: invented data, non-existent sources, unjustified recommendations, and baseless promises.
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Insufficient prompt versus controlled prompt.
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Frequent biases: confirmation bias, availability bias, data selection bias, and automation bias.
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Automation traffic light: green, yellow, and red tasks.
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Designing secure assistants with allowed inputs, expected outputs, prohibited actions, human review, and logging.
Module 8. Agents, Prompt Injection, and AI Usage Governance (3 h)
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AI agents: reading, planning, editing, tool usage, and autonomy limits.
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Agent control in documents, spreadsheets, files, or systems: scope, permissions, controlled environment, change review, rollback, and logging.
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Direct, indirect, and persistent prompt injection in documents, emails, websites, or embedded instructions.
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Treating content as untrusted and separating useful data from unauthorized commands.
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Governance framework: data protection, security, transparency, accountability, traceability, and applicable compliance.
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Minimum protocol: permitted objective, authorized data, approved tool, prompt restrictions, human review, logging, and escalation.
Requirements
Understanding of basic digital tools and common office/workplace tasks (word processors, spreadsheets, email). Experience with day-to-day administrative, management, or operational workflows. No prior programming experience required.
What participants should know before the course
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Basic digital competencies (office software usage, web browsing, and file management).
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Familiarity with standard corporate communications and internal workflow processes.
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No technical background or prior knowledge of Artificial Intelligence or Machine Learning is required.
Audience - Who is this course for?
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Directors, Managers, and Team Leaders.
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Administrative and Operations Staff.
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Business Analysts and Information Professionals.
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Any corporate professional seeking secure AI adoption.
Audience (Who is this course for?)
This training on Applied AI in the Workplace and Safe AI Usage is oriented towards professionals, teams, and organizations aiming to integrate generative artificial intelligence tools practically, ethically, and securely. It is the ideal course for:
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Directors, Managers, and Team Leaders: Responsible for defining corporate policies, governing AI usage, and supervising workflows without compromising confidentiality.
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Administrative, Operations, and Support Staff: Employees looking to automate low-risk repetitive tasks, manage documentation, and optimize daily communications.
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Business Analysts and Knowledge Workers: Professionals in HR, finance, marketing, legal, or sales who need to use AI for summarizing, analyzing, and drafting with judgment and precision.
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Organizations undergoing digital transformation: Entities requiring employee training on the secure use of data, privacy, and mitigation of generative AI risks.
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 4350 € + VAT*
Contact us for an exact quote and to hear our latest promotions
Testimonials (3)
I especially appreciated the instructor’s ability to give thorough, well-explained answers to questions specific to my personal situation.
HASAN TAHA URLU - Huber Turkiye
Course - Assertiveness
interaction and discussion with each other in different groups, together with some games.
- Netherlands Business Support Office (NBSO) Indonesia
Course - High-Impact Communication Skills
Training was tailored to my needs
