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
If you have more than 8 people to sign up for a particular course, it can be delivered as a private session right at your offices. Contact us for more details.
Request a quotePrivate or personalized training
If you have more than 8 people to sign up for a particular course, it can be delivered as a private session right at your offices. Contact us for more details.
Request a quote