AI: Evolution, Understanding, Application, and Programming
This training on Artificial Intelligence immerses you in the fascinating world of AI, from its origins to its modern-day applications.
You will explore fundamental concepts, advancements in Machine Learning and Deep Learning, as well as the differences and synergies between them. Special focus will be given to generative AI, language models, and their practical uses.
Through concrete demonstrations and hands-on exercises using Google Gemini, you will learn how to create, automate, and optimize AI models. The course also addresses ethical concerns, biases, and technological challenges, providing tools to assess AI’s impact across various industries.
This comprehensive program will equip you with the knowledge and skills to understand, experiment with, and innovate using AI.
Module 1: Introduction to Artificial Intelligence
- Overview and Q&A session (1h30)
- Definition and evolution of AI:
- Terminology and evolution
- From early algorithms to neural networks
- Deep Learning and Generative AI
- Weak, General, and Superintelligent AI
- Examples of applications across sectors
- Factors supporting AI:
- Algorithmic and heuristic structures
- Hardware aspects (CPU, GPU, TPU)
- Languages (R, Python, C++, Rust, Mojo)
- Software and frameworks
- Introduction to Machine Learning:
- Main model categories
- Supervised and unsupervised learning
- Applications and use cases
- Introduction to Deep Learning:
- Differences from Machine Learning
- Concepts and models
- Applications and use cases
- Natural Language Processing features
- Overview of Generative AI:
- Language, image, and multimodal models
- Market applications and products
- Example: Google Gemini
- Issues and risks:
- Ethics and bias
- Privacy and environmental impact
- Risk of dystopian outcomes
Module 2: AI Demonstration
- Overview and Q&A session (1h30)
- DevOps and AI pipelines:
- Data preprocessing
- Training and optimization
- Deployment
- Machine Learning in practice:
- Demo with Scikit-Learn
- User-friendly approach with PyCaret
- Note: Source code via Google Colab
- Deep Learning in practice:
- Demo with Numpy
- Using PyTorch
- Note: Source code via Google Colab
- Generative AI:
- Exploring large language and multimodal models
- Fine-tuning and autonomous agents
- Note: Hands-on in the next module with Google Gemini
Module 3: Using Google Gemini
- Hands-on experimentation with Google Colab (3h30)
- Using the chatbox:
- Crafting simple prompts
- Tips for Python and other technical prompts
- Using the Python API:
- Designing advanced prompts
- Code optimization and unit testing
- Using Gemini Studio:
- Fine-tuning and Retrieval-Augmented Generation
- Building an autonomous agent
- Experimental projects with Python and more
Follow-up training with OpenAI
OpenAI Training for Developers
Other course(s) in this category
Prerequisites:
Good knowledge of JavaScriptObjectives:
- Understand the evolution and key concepts of artificial intelligence.
- Discover the basics of Machine Learning and Deep Learning.
- Explore Generative AI and its practical applications.
- Use Google Gemini to experiment with and automate AI models.
- Assess the ethical issues and limitations of AI technologies.
Online
- 16/01/2026
- 13/02/2026
- 27/02/2026
- 27/03/2026
- 10/04/2026
- 08/05/2026
- 22/05/2026
- 19/06/2026
- 03/07/2026
- 31/07/2026
- 14/08/2026
- 11/09/2026
Montreal
- 13/03/2026
- 05/06/2026
- 28/08/2026
Quebec City
- 30/01/2026
- 24/04/2026
- 17/07/2026
Pricing
Practical information
- Duration: 1 day(s)
- Schedule: 9:00 a.m. to 4:30 p.m. (2 coffee breaks + 1-hour lunch)
-
Format:
- Online (live virtual classroom)
- Or in person, depending on availability
📄 Download course outline (PDF)
Registration detailsInterested in this training?
Free quote with no obligation
Registration with credit card payment
FR
« Je tiens à vous remercier tous les deux d’avoir offert à mes ressources une excellente formation COBOL au cours des trois derniers jours.
Mamadou, merci d’avoir été si accommodant malgré le court préavis et d’avoir envoyé votre formateur à Gatineau pour ce cours personnalisé.
Nous avons hâte de poursuivre notre collaboration pour de futurs besoins de formation. »
(Traduit de l’anglais)
EN
“I want to thank you both for providing my resources with excellent COBOL training over the past 3 days. Mamadou, thank you for being so accommodating on such short notice and for sending your facilitator to Gatineau for this customized and personalized training course. We look forward to continuing our partnership for future training needs.”
FR
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EN
“Mamadou helped us reorganize our stop panel using a reporting tool, Crystal Reports. He successfully delivered precise, pixel-perfect work,
as we needed a report that matched the original graphic design. He helped us break the project down into cycles and integrate the report
into our corporate software. What we appreciated most was his attention to detail and consistency. Mamadou was very professional and
is knowledgeable in many other technologies. Thank you.”
(Translated from French)
FR
« Ce fut un plaisir de faire affaires avec Doussou Formation. Ce qui fait LA différence est le service personnalisé totalement à l'écoute des participants ainsi que l'adaptation aux besoins de formation. Flexibilité / Adaptabilité / Professionnalisme / Courtoisie. Merci ! »
EN
“It was a pleasure doing business with Doussou Formation. What truly makes THE difference is the personalized service, fully attentive
to participants, as well as the ability to adapt the training to their needs. Flexibility / Adaptability / Professionalism / Courtesy. Thank you!”
(Translated from French)