Objectives of the training
Learn key AI concepts, discover real-world applications in various industries, and familiarize yourself with the AI project lifecycle as well as generative and no-code AI tools.Targeted audience
• Professionals who want to understand AI without technical expertise • Business executives: HR, marketing, finance, healthcare, industry, etc. • Digital, innovation, or data project managersPrerequisite
No programming prerequisites necessaryTrainers
Benefits for Participants
• Understand key concepts and existing types of AI
• Identify concrete applications in different professions
• Discover the life cycle of an AI project and manipulate simple models
• Become familiar with generative and no-code AI tools
Course architecture
Introduction to artificial intelligence
• Definitions, history, types of artificial intelligence (symbolic vs. statistical)
• Evolution of AI
• Concrete examples of AI in different sectors (healthcare, finance, HR, industry, etc.)
The main areas of AI
• Machine learning vs. deep learning
• NLP, computer vision, expert systems
• Comparison of approaches according to use cases
• Exercise
Overview of real-world examples
• AI in healthcare: diagnosis, patient monitoring
• AI in finance: fraud detection, credit scoring
• AI in HR, industry, commerce, logistics
• Exercise
Types of data?
• Structured data, unstructured data, text, images, etc.
• Examples of datasets: customer data, HR data, e-commerce, etc.
• Data quality issues: missing values, duplicates, bias
Main AI algorithms
• Supervised learning: linear regression, decision trees
• Unsupervised learning: clustering with k-means
• Understanding how it works, use cases
• Exercise
AI project lifecycle
• Stages: collection, preparation, modeling, evaluation
• Roles in an AI project (data analyst, data scientist, business, etc.)
• Concepts of overfitting, cross-validation, precision vs. recall
• Exercise: simulation of a mini-project in teams based on a dataset
Ethics, bias, and transparency
• Bias in data, bias in algorithms
• Importance of explainability and human oversight
• Risks of malicious use of AI
• Exercise: analysis of a real-life case of bias in AI
Introduction to generative AI
• How ChatGPT, DALL·E, and Copilot work
• Prompts: how to formulate a request correctly
• Business examples: text summarization, brainstorming, image generation
• Exercise: testing prompts with ChatGPT
Simulated business scenarios
• HR assistant: generating a response to a job application
• Analyzing customer sentiment from a text
• Summarizing a report or email
Overview of AI tools without coding
• No-code/low-code tools: Teachable Machine, RunwayML, Peltarion, MonkeyLearn,
GPT for Sheets
• Comparison: features, limitations, pricing
• Exercise: testing a no-code tool to train a model
Pedagogical details
Type of training
Private or personalized training
Do you have several employees interested in the same training course? Whether in person at your offices or remotely in virtual mode, we offer private training courses tailored to your team's needs. Group rates are available. Contact us for more details or request a quote online.
Request a quotePrivate or personalized training
Do you have several employees interested in the same training course? Whether in person at your offices or remotely in virtual mode, we offer private training courses tailored to your team's needs. Group rates are available. Contact us for more details or request a quote online.
Request a quote