AI: Evolution, Understanding, Application, and Programming
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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.
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The AI course at a glance
- Length
- 1 day
- Schedule
- 9:00 a.m. to 4:30 p.m.
- Format
- Live virtual class or in person in Montreal and Quebec City
- Audience
- Tous
- Price
- $850 per participant, or $722 for public bodies and non-profits (plus taxes)
- Language
- English
Doussou Formation and AI: key facts
- Since 2016Doussou Formation has been delivering professional training in Quebec
- 300+specialized courses in our catalogue
- 97 %satisfaction according to client evaluations
- RAP · CPMTAccredited supplier and recognized training organization
Upcoming AI sessions
AI course outline
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
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
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
Prices and practical information
Preferred rate
$722 / participant
Public bodies and non-profits · plus taxes
Standard price
$850 / participant
Businesses and individuals · plus taxes
Practical information
- Length: 1 day
- Schedule: 9:00 a.m. to 4:30 p.m.
- Format: Live virtual class or in person in Montreal and Quebec City
- Payment: online (PayPal or card) when registering, or by invoice for organizations
- Funding: Doussou Formation is a training organization accredited by the CPMT. For Quebec employers subject to the Act to promote workforce skills development (payroll over $2M), this course can count toward their 1% training obligation.
Corporate AI training
Train your whole team as a private group, on your own documents, at your premises or in a virtual class, on the dates that suit you.
Participant reviews
97% satisfaction (end-of-course evaluations, 120 evaluations) · Read all testimonials
Why take this AI course
Objectives: what you will be able to do
- 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.
Prerequisites
Good knowledge of JavaScript
What is included
- Course materials and exercise files for each participant
- Certificate of attendance
- Optional personalized coaching after the course
- In public in-person sessions:
- Tea and coffee
- Lunch at a nearby restaurant
- Parking (in some cities)
- Wi-Fi access