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AI: Evolution, Understanding, Applications, and Programming

Classes in: Online course, virtual classroom (remote), Montreal, Quebec, at your offices

This artificial intelligence training course immerses you in the fascinating world of AI, from its origins to its modern applications. You will explore the fundamental concepts, advances in Machine Learning and Deep Learning, as well as their differences and complementary roles.

Special attention will be given to generative AI, its language models, and its practical applications. Through concrete demonstrations and hands-on exercises with Google Gemini, you will learn how to create, automate, and optimize AI models.

Finally, the course will address ethical considerations, bias, and technological challenges, while providing tools to assess the impact of AI across various sectors. This comprehensive learning path will give you the knowledge and skills needed to understand, experiment with, and innovate using AI.

Registration Details

Course details

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Module 1: Introduction to Artificial Intelligence

  • Overview and Presentation with Q&A (1.5 Hours)
  • Definition and Evolution of AI:
    • Terminology and Evolution
    • From Early Algorithms to Neural Networks
    • Deep Learning and Generative AI
    • Narrow AI, Artificial General Intelligence, and Superintelligence
    • Examples of Applications Across Various Fields
    • Factors Supporting AI:
    • Algorithmic Structures and Heuristics
    • Hardware Components: CPUs, GPUs, and TPUs
    • Programming Languages: R, Python, C++, Rust, and Mojo
    • Software and Frameworks
  • Machine Learning Overview:
    • Main Categories of Models
    • Supervised and Unsupervised Learning
    • Applications and Fields of Use
  • Deep Learning Overview:
    • Differences Between Deep Learning and Machine Learning
    • Concepts and Models
    • Applications and Fields of Use
    • Specific Characteristics of Natural Language Processing
  • Generative AI Overview:
    • Language, Image, and Multimodal Models
    • Applications and Products Available on the Market
    • Example: Google Gemini
  • Issues and Risks:
    • Ethics and Bias
    • Privacy and Environmental Impact
    • Risk of Dystopian Outcomes

Module 2: Artificial Intelligence Demonstrations

  • Overview and Presentation with Q&A (1.5 Hours)
  • DevOps and AI Pipelines:
    • Data Preprocessing
    • Training and Optimization
    • Deployment
  • Machine Learning in Practice:
    • Demonstration with Scikit-Learn
    • User-Friendly Approach with PyCaret
    • Note: Source Code Provided Through Google Colab
    • Deep Learning in Practice:
    • Demonstration with NumPy
    • Using PyTorch
    • Note: Source Code Provided Through Google Colab
  • Generative AI:
    • Exploring Large Language Models and Multimodal Models
    • Fine-Tuning and Autonomous Agents
    • Note: Practical Work with Google Gemini in the Following Module

Module 3: Using Google Gemini

  • Hands-On Experimentation with Google Colab (3.5 Hours)
  • Using the Chatbot:
    • Writing Simple Prompts
    • Tips for Python and Other Programming Prompts
  • Using the Python API:
    • Designing Advanced Prompts
    • Code Optimization and Unit Testing
  • Using Google AI Studio:
    • Fine-Tuning and Retrieval-Augmented Generation
    • Building an Autonomous Agent
    • Experimental Projects with Python and Other Languages

Follow-Up Training with OpenAI

OpenAI Training for Developers

Other course(s) in this category

→ Training: How to Create Content with AI?

→ Training: Fundamentals of Artificial Intelligence for Engineers and Technicians

→ Training: Artificial Intelligence Fundamentals for Engineers and Technicians




Benefits:

  • A course material for each participant.
  • Coaching available after the training.
  • We offer you in public session:
    • Tea, coffee
    • Dinner at a nearby restaurant
    • Wireless internet connection

Prerequisites:

Good knowledge of JavaScript

Objectives:

  • Understand the evolution and key concepts of artificial intelligence.
  • Explore the fundamentals of Machine Learning and Deep Learning.
  • Discover generative AI and its practical applications.
  • Use Google Gemini to experiment with and automate AI models.
  • Evaluate the ethical considerations and limitations of AI technologies.

Need professional support?

Beyond training, our experts can support you with implementation, optimization, and the hands-on delivery of your projects.

  • Post-training support, coaching, and guidance
  • Implementation of tools and best practices
  • Process optimization and automation
  • One-time intervention or tailored engagement
Fast response · On-site or remote support.

Online

    • 25/06/2026
    • 16/07/2026
    • 06/08/2026
    • 27/08/2026
    • 17/09/2026
    • 08/10/2026
    • 29/10/2026
    • 19/11/2026
    • 10/12/2026
    • 31/12/2026
    • 21/01/2027
    • 11/02/2027

Pricing

Preferential rate
552
$ / participant
Public orgs, NPOs
Public price
650 $ / participant

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 details

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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)