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AI: Evolution, Understanding, Application, and Programming

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

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.

Course details

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

Autre(s) cours dans cette catégorie


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

Préalables :

Good knowledge of JavaScript

Objectifs :

  • 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.

Montréal :

Québec :

Gatineau / Ottawa :

Moncton :

Classe virtuelle (en ligne) :

Preferential*

722 $

per participant

Duration :1 day(s), is 7 hours.
Hours: 9 am-5pm, 2 coffee breaks.

See the lesson plan in PDF

Locations: Montreal, Gatineau / Ottawa, Quebec City.

See customer reviews

Regular price: 850 $

*The preferential rate applies if you register at least two participants in the same session.

Rate AI: Evolution, Understanding, Application, and Programming

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Also available in private session.
offer is valid from 01/01/2024.

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