Discover a World Full of Opportunities
Just like the discovery of new territories, the invention of the printing press by Gutenberg, or even electricity; Internet 4.0 represents a new world full of opportunities for entrepreneurs, technicians, and creators alike.
Designing Artificial Intelligence Solutions for Data Exploitation
From information and data analysis to algorithm development in the appropriate programming language, including debugging and visual representation of results.
Developing Artificial Intelligence and Machine Learning Applications
For various target platforms and using diverse resources, you will learn to set up the IT development environment, program the application logic, perform quality control, and document the created application.
Using Programming Languages
From problem analysis to solution implementation, including the use of basic algorithms, a debugger, and a functional test plan.
Object-Oriented Programming
From problem and/or requirements analysis through to final implementation and documentation creation.
Exploiting Various Data Sources
You will learn to manage databases of various types, aggregate relevant data for the project, prepare and transform it according to needs and regulations, including for the training and testing of artificial intelligence applications.
Automating Data Processing Tasks
From preparation to final automation through documentation, for different operating systems and usage contexts.
Session 1
Master discrete mathematics, graph theory, linear algebra, and probability—essential skills for designing artificial intelligence models. Learn how matrix manipulations and optimization techniques power modern AI systems.
Because these are the foundations of AI innovation! Without these core skills, it will be difficult to create impactful solutions. With them, you will unlock the potential needed to design technologies capable of changing the world.
Learn French specific to the IT field to excel in bilingual AI environments. Write professional emails, reports, and technical documentation with fluency.
Bilingual professionals are rare and highly sought after in the AI field. This training positions you to lead projects in French-speaking markets and stand out from your competitors.
Explore 39 roles in AI such as Data Scientist, AI Engineer, and Machine Learning Specialist. Understand the skills needed for each role and how to prepare.
These are the roles that are transforming industries. This course gives you valuable insights to secure a place in this rapidly growing market and lead the AI revolution.
Learn to design and implement efficient algorithms to solve real-world computer science problems. Develop key programming skills with Python, the foundational tool in AI.
Every top AI professional excels in algorithms. Mastering this discipline will make you indispensable to any team working on cutting-edge AI solutions.
Set up Python, TensorFlow, and other essential tools to build your AI development environment. Set up cloud platforms like AWS and Google Cloud for scalable solutions.
Because every AI journey starts here! Knowing how to configure the right tools and environments will save you time and make you operational from day one.
Session 2
Deepen your knowledge in graph theory, calculus, and optimization to refine your AI models. Learn to calculate derivatives and gradients for neural network training.
The difference between a beginner and a professional in AI lies in the depth of their mathematical understanding. This course ensures you are among the experts.
Master technical French for AI concepts such as neural networks and predictive models. Collaborate fluently with French-speaking teams on global AI projects.
In a bilingual world, the ability to explain technical concepts in French opens doors to new clients, markets, and business partnerships.
Learn to present AI-based business ideas confidently in French. Develop professional writing skills for proposals, contracts, and entrepreneurial documents.
Mastering French for business contexts gives you a competitive advantage in French-speaking markets and strengthens your professional credibility.
Use Python libraries like Pandas, Matplotlib, and Seaborn for data analysis. Learn advanced data visualization techniques to communicate findings effectively.
Data is the fuel of AI. This course teaches you to understand, clean, and explore data—a fundamental step before building any AI model.
Write clean and modular Python code for scalable AI applications. Master control structures, functions, and data structures for efficient programming.
Python is the language of AI. This course ensures you master it to build robust and efficient solutions.
Master the art of explaining complex technical concepts to non-technical audiences. Develop intercultural communication skills for diverse global teams.
Technical excellence alone is not enough. The ability to communicate across cultures and technical boundaries makes you a leader in AI.
Session 3
Learn to collect data using web scraping, APIs, and survey tools like Python libraries. Master relational (SQL) and non-relational (NoSQL) databases for data storage and retrieval.
Because every AI model starts with data. This course ensures you know how to collect and manage it efficiently, preparing you for success in real AI projects.
Master R programming for data cleaning, analysis, and visualization. Learn to manipulate data using libraries like dplyr and tidyr.
R is the preferred language in many data science fields. Mastering both R and Python makes you extremely versatile and ready to tackle any data analysis challenge.
Learn advanced data cleaning techniques to handle missing values, duplicates, and outliers. Transform raw data into usable formats for AI model training.
Unclean data is the main obstacle to AI success. By mastering this skill, you ensure that every model you build is based on high-quality data.
Master predictive modeling techniques such as linear regression, decision trees, and SVMs. Build and evaluate supervised learning models to solve real-world problems.
These are the algorithms behind product recommendations, fraud detection, and medical diagnostics. Mastering them makes you a sought-after professional in the AI industry.
Explore the foundations of agents, rewards, and policies in reinforcement learning. Apply reinforcement learning techniques to optimization and decision-making problems.
This technology powers self-driving cars, intelligent games, and automated trading systems. Mastering it opens doors to the most exciting AI applications.
Learn to identify user needs and develop innovative AI-based solutions. Apply Design Thinking principles to create user-centered AI products.
The best AI solutions are those that truly solve user problems. This course teaches you to think like an entrepreneur and design solutions that make a real difference.
Session 4
Automate repetitive tasks using Python and Bash scripting to increase efficiency. Write scripts for file management, data processing, and system operations.
Automation frees up time and reduces errors. This course equips you to handle repetitive tasks like a professional, allowing you to focus on high-impact AI projects.
Discover clustering techniques like K-Means and hierarchical clustering to find hidden patterns in data. Master dimensionality reduction methods like PCA and t-SNE.
While supervised learning requires labeled data, unsupervised learning discovers patterns on its own. This skill is essential for exploring massive datasets and extracting valuable insights.
Gain expertise in setting up cloud environments on platforms like AWS, Azure, and Google Cloud. Deploy scalable AI workflows using cloud services like EC2, Lambda, and BigQuery.
Modern AI solutions require massive computing power that only the cloud can provide. This course prepares you to deploy and manage AI solutions at scale.
Build and train deep learning models, including CNNs for image processing and RNNs for temporal and text data. Learn transfer learning to leverage pre-trained models.
Deep learning powers the most impressive AI applications, from voice recognition to autonomous vehicles. Mastering it positions you at the forefront of AI innovation.
Learn decision-making, communication, and conflict management to effectively lead AI teams. Practice collaborative strategies to manage multidisciplinary projects.
Technical skills alone are not enough. The ability to lead teams and communicate effectively is what distinguishes good professionals from great leaders in the AI field.
Develop innovative AI-based solutions to solve real-world problems. Learn to write business plans and pitch AI ideas to investors.
AI opens up incredible business opportunities. This course gives you the tools to not only work in AI, but also to create companies and solutions that make a difference.
Session 5
Learn to optimize AI models for speed and accuracy using advanced techniques like quantization and pruning. Set up production pipelines with tools like Docker, Kubernetes, and TensorFlow Lite.
Building AI models is only the beginning—deployment is where the real value lies. This course ensures your solutions are production-ready and capable of solving real-world problems at scale.
Use tools like Google Analytics to track user behavior and improve web performance. Analyze marketing databases to identify trends, customer segments, and growth opportunities.
Understanding user data is the key to creating personalized experiences. This course teaches you to turn marketing data into actionable AI insights.
Extract insights from textual data using text mining techniques and natural language processing. Analyze social networks to understand trends, influencers, and engagement patterns.
In a data-driven world, the ability to extract meaningful information from massive datasets is crucial. This course gives you a competitive edge in the rapidly growing data analytics market.
Build recommendation systems using collaborative and content-based filtering. Implement search engines that use NLP and machine learning for relevant results.
From Netflix to Amazon, recommendation systems drive user engagement and revenue. Mastering their development makes you indispensable in the modern tech industry.
Apply everything you have learned in a real project or internship, solving impactful AI problems under expert supervision. Gain practical experience while building a professional portfolio.
Because we don’t just teach – we invest in your future. From personalized mentoring to exclusive opportunities and financial support, Unica ensures you are not only ready for the job market, but positioned to lead and innovate.
Enrol and study online at ai.unica.college
Prefer to study remotely at your own pace? Collège Unica also offers the online Applied AI & Data Science AEC from Montreal: 5 sessions, 28 courses, 540 classes, and 1,620 total hours — self-paced with a personal AI tutor, assessed projects, and a defended capstone. Covers Python, machine learning, agentic AI, AI for business, data analytics, and MLOps.
Full Program
CAD $4,200
25% off (full program)
By Session
CAD $850 – $1,020
15% off per session bundle
Single Course
CAD $200
Class 1 is 100% free
Visit Collège Unica in Westmount
Book a free studio tour or contact our admissions team.
