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Generative AI in business: methods and practical applications
Generative AI becomes useful when you know which tasks to assign it and how to assess its responses. Structure your requests, adapt applications to workplace situations and critically evaluate the results. Develop practices for integrating these tools into your work with greater control.
- Duration
- 2 days 14 hours
- Code
- IA006FR Code
Presentation
The rapid emergence of generative artificial intelligence is transforming working practices and redefining business performance criteria. Integrating these technologies is no longer optional: it is a strategic necessity for improving efficiency, automating time-consuming tasks and fostering innovation within teams.
This hands-on 2-day course immerses you in the ecosystem of leading tools, including ChatGPT, Claude and Gemini. Through practical use cases spanning HR, marketing, finance and project management, you will learn to interact with AI to produce high-quality content and support more reliable decision-making.
Beyond simply using the tools, this course helps you build a genuine adoption strategy. You will leave with an operational roadmap and governance methods for deploying these solutions securely while managing data confidentiality and ethical risks.
Objectives
By the end of this generative AI course, you will be able to:
- understand how large language models (LLMs) work, their potential and their limitations;
- explore business applications with ChatGPT, Claude, Gemini, Perplexity, NotebookLM, DALL·E, Imagen, Veo3, HeyGen, Canva Magic Studio and other tools;
- use the market's leading AI tools to generate text, images and video;
- automate professional content production and summarisation tasks;
- optimise business processes in marketing, HR, finance and project management;
- analyse complex documents to support strategic decision-making;
- structure effective technology monitoring and a shared prompt library;
- develop a personal or organisational roadmap for integrating AI.
Program
Module 1: understanding how generative AI works and its implications
- Explaining fundamental concepts: LLMs (Large Language Models) and multimodality (text, images and video).
- Analysing performance factors: speed of execution and tool accessibility.
- Managing risks and limitations: identifying hallucinations, preventing bias and protecting confidentiality.
Discussion
- Discussing potential transformations in your own roles.
Module 2: mastering cross-functional applications for productivity
- Optimising everyday work: automatic rephrasing, email drafting and meeting notes.
- Producing structured documents: generating summaries and creating comparison tables.
- Creating content: developing outlines, writing reports and adapting style or tone.
- Supporting decisions: identifying key ideas in document collections and evaluating options.
Module 3: applying AI to key business functions
- Communications & Marketing: designing editorial calendars, video scripts and slogans, and analysing trends.
- Human Resources: writing job descriptions, AI-assisted CV analysis (with appropriate precautions) and creating learning quizzes.
- Project Management & Leadership: structuring roadmaps and RACI matrices, preparing meetings and analysing risks.
- Finance & Audit: explaining complex concepts, creating summary tables and financial comparisons.
- Strategy & Innovation: conducting competitive benchmarking and stakeholder mapping.
Module 4: practical task transformation workshop
- Each participant selects a real professional task.
- Developing a complete deliverable through successive iterations with AI.
- Optimising the result to make it immediately usable.
Module 5: using multimodal AI and advanced content creation
- Analysing heterogeneous documents: extracting data from PDFs, tables and images.
- Generating professional visuals for communications materials.
- Creating video content: tutorials, presentations and pitches.
Practical case study
- Turning a text-based PDF report into a visual summary, including infographics and a presentation outline.
Module 6: defining AI strategy and governance
- Assessing the organisation's digital maturity and reviewing its processes.
- Prioritising use cases according to business impact and technical feasibility.
- Structuring governance: defining roles, an ethical charter and legal compliance (GDPR and intellectual property).
- Aligning AI strategy with overall business objectives.
Module 7: sustaining the approach through monitoring and innovation
- Establishing a monitoring routine to track technological developments.
- Creating and maintaining a shared prompt library.
- Updating internal workflows and applying quality safeguards.
Module 8: professional roadmap workshop
- Conducting a personal assessment to identify quick wins to implement.
- Defining priority applications and the resources required.
- Developing a 3-month action plan with tailored governance.
Module 9: final practical workshop (capstone project)
- Completing a full business project, such as a strategic briefing, storyboard or HR analysis.
- Peer feedback session to improve participants' work in real time.
- Finalising an immediately usable professional deliverable.
Audience
This course is intended for all professionals seeking to integrate AI into their working practices, including:
- managers and executives who want to optimise team leadership and strategic decision-making;
- marketing & communications managers producing varied content to engage their audiences;
- HR and training specialists seeking to automate administrative tasks and personalise development pathways;
- project managers and consultants structuring complex analyses to deliver value faster.
Prerequisites
The following prerequisites apply:
- Professional experience: knowledge of your own business environment and everyday processes is recommended to make the most of the practical workshops.
- Basic knowledge: familiarity with the internet and standard office productivity tools.
Teaching and assessment methods
- Initial skills assessment
- Training materials provided to participants
- Continuous assessment throughout the course
- End-of-course feedback questionnaire
- Combination of theory and practical application
- Attendance records
- Post-course follow-up evaluation
- Quiz / multiple-choice questions
- Practical exercises
Course highlights
- Intensive practice: a fully application-focused course with demonstrations of AI tools such as ChatGPT and Perplexity.
- Tangible deliverables: leave with your roadmap, prompt templates and a methodological guide.
- Business-focused approach: use cases are organised by function (HR, Finance and Marketing) for direct application.
- Strategic perspective: go beyond the tools to structure governance and technology monitoring.
Dates and sessions
Choose the date and delivery format that suit you.
No upcoming sessions are currently available.
Any brand names and logos mentioned in this course description (such as ChatGPT, Claude, Gemini and Canva) belong to their respective owners.
Their use for educational purposes does not imply any commitment or partnership.