AI & Machine Learning Course – Online & In-Person Bootcamp
Learn machine learning and AI by building real projects – from Python and data analysis to deep learning, NLP, computer vision and model deployment. Join live online classes from anywhere in Canada or the US, or learn in person at our Mississauga campus. Designed for beginners with basic computer skills; no prior ML experience needed.
- 60 hours
- Beginner friendly
- Online + In-person
What You'll Learn in This AI & Machine Learning Course
This Pragra AI & Machine Learning Bootcamp is designed to help you build practical, job-ready skills in artificial intelligence, machine learning, and modern AI applications. From foundational concepts to advanced deployment, you’ll gain hands-on experience with the tools and technologies used by top companies.
Key Features
- 24/7 support
- Hands-on projects
- Flexible schedule
- Industry-recognized certification
- Job assistance
- Lifetime access to course material
Skills Covered
- Apply mathematical concepts (linear algebra, calculus, probability) to ML algorithms.
- Use Python libraries (NumPy, Pandas, Matplotlib) for data processing and analysis.
- Implement supervised learning algorithms (regression, classification, SVM) on labeled data.
- Utilize unsupervised learning techniques (clustering, dimensionality reduction) on unlabeled data.
- Build and train deep learning models and neural networks.
- Evaluate and optimize ML models using cross-validation and hyperparameter tuning.
- Develop NLP applications to process and analyze human language.
- Create computer vision models for image classification and object detection.
- And more...
About This Course
Tools & Technologies You'll Use
What you'll work with
- Python for AI & Machine Learning: Build a strong foundation in Python programming, data handling, and automation for AI development.
- Data Analysis & Visualization: Learn to clean, analyze, and visualize data using Pandas, NumPy, and Matplotlib.
- Machine Learning Fundamentals: Understand supervised and unsupervised learning, regression, classification, clustering, and model evaluation.
- Deep Learning: Work with neural networks, CNNs, and RNNs using TensorFlow and PyTorch to build advanced AI models.
- Natural Language Processing (NLP): Develop AI systems for text analysis, chatbots, sentiment analysis, and language models.
- Generative AI: Explore modern AI tools like GPT, transformers, prompt engineering, and AI-powered automation.
- Model Deployment & MLOps: Learn how to deploy machine learning models using FastAPI, Docker, APIs, and cloud platforms.
- Real-World AI Projects: Build portfolio-ready projects such as recommendation systems, fraud detection, chatbots, and predictive analytics.
- AI Ethics & Responsible AI: Understand fairness, bias, privacy, and ethical considerations in AI systems.
- Career Preparation: Prepare for AI and machine learning roles with resume support, mock interviews, and portfolio guidance.
Tools covered: Python, TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, Hugging Face, OpenAI APIs, LangChain, Docker, FastAPI, AWS / Cloud Deployment
Program at a Glance
| Category | Details |
|---|---|
| Primary Focus | End-to-end AI & ML development (foundations → deployment) |
| Industry Sectors Covered | Healthcare, Finance, Autonomous Driving, NLP, Computer Vision |
| Key Technologies | Python, NumPy, Pandas, Matplotlib, TensorFlow, PyTorch |
| Delivery Mode | Hands-on coding labs, projects, quizzes, and real-world assignments |
Core Pillars of the Curriculum
-
Mathematical & Programming Foundations
Linear algebra, calculus, probability + Python for data science -
Core ML Algorithms
Supervised (regression, classification, SVM) & Unsupervised (clustering, PCA) -
Advanced AI Techniques
Deep learning, neural networks, NLP, computer vision -
Model Lifecycle Management
Evaluation, hyperparameter tuning, cross-validation -
Production Deployment
Cloud platforms, TensorFlow, PyTorch, and MLOps basics
Industry Applications Covered
"How these technologies are transforming industries"
| Industry | AI/ML Application |
|---|---|
| 🏥 Healthcare | Diagnosis prediction, medical image analysis |
| 💰 Finance | Fraud detection, algorithmic trading |
| 🚗 Autonomous Driving | Object detection, path planning |
| 🗣️ Language Tech | Sentiment analysis, chatbots, translation |
| 📸 Retail/Media | Image classification, recommendation systems |
Learning Journey Map
- Foundations – Math + Python
- Supervised Learning → Unsupervised Learning
- Deep Learning & Neural Networks
- Model Evaluation & Optimization
- NLP and Computer Vision – applied in parallel
- Industry Applications
- Deployment – TensorFlow, PyTorch, Cloud
Join Our Thriving Community
By enrolling today, you'll also get to join our exclusive live online community classroom to learn alongside thousands of students, alumni, mentors, TAs and Instructors.
These are just a few of the words students use to describe the Pragra community which is also one of the biggest and most active developer communities.
Here's the Truth
Most courses teach you the basics and that's it. They show you how to get started. They get you to memorize a bunch of syntax. But then you have no idea where to go from there or the steps to take so that you can build projects on your own.
This Course is Different
This comprehensive project-based course is different. Not only will you learn all of the modern skills needed, but you will also build 10+ real-world projects to add to your portfolio.
The curriculum is very hands-on. We take you step-by-step from start to finish of becoming a professional developer.
We start from the very beginning where you'll learn the fundamentals and programming basics. But unlike most tutorials, we don't stop there.
We'll then dive into advanced topics and different career fields so you can get real-life practice and be ready for the real world.
Is This AI & ML Course Right for Beginners?
Yes – here's honestly what you need before you start
Course Curriculum: 10 Modules from Python to Model Deployment
Ten hands-on modules that take you from AI fundamentals and the math behind machine learning to Python, deep learning, NLP, computer vision and deploying your own models.
Choose Your Format: Online, In-Person or Self-Paced
Join live online classes from anywhere in Canada or the US, learn in person at our Mississauga campus, or study self-paced. Every format covers the same curriculum and leads to the same certificate.
Self-Paced Learning
Learn at your own pace
- Lifetime access to course material
- 24/7 support
- Self-paced learning
- Certificate of completion
- Hands-on projects
- Community access
Online Bootcamp
Instructor-led live classes
- Live online classes
- Hands-on projects
- Dedicated mentor
- Job assistance
- Industry-recognized certification
- Lifetime access to course material
Not sure which option is right for you? Both formats include the same comprehensive curriculum and lifetime access. The Bootcamp option adds live instructor sessions and dedicated mentorship for faster learning and career support.
From Beginner to AI Engineer: Careers & Salaries in Canada
AI and machine learning professionals are among the most in-demand and highest-paid roles in tech. With businesses across Canada and the US adopting AI-driven solutions, skilled professionals can unlock rewarding careers in healthcare, finance, retail, cybersecurity and software development.
Career Path
Your journey from beginner to expert
Machine Learning Engineer
AI Engineer
Data Scientist
NLP Engineer
Deep Learning Engineer
Computer Vision Engineer
MLOps Engineer
AI Research Analyst
Why Choose a Career in AI?
- High demand across Canada and the US
- Competitive salaries with strong growth potential
- Opportunities in top industries like fintech, healthcare, and automation
- Future-proof skills in one of the fastest-growing technology sectors
- Strong global demand for AI talent
The demand for AI professionals continues to grow, making now the best time to build job-ready skills and secure your place in the future of technology.
Why Choose Our AI Machine Learning Bootcamp?
AI is transforming every industry — from software development and healthcare to finance and cybersecurity. At Pragra, our AI Machine Learning Bootcamp is designed to help you build practical AI skills that align with real hiring needs.
Unlike traditional AI courses, our bootcamp focuses on hands-on learning, real-world applications, and career transformation.
What makes us different
- AI-first curriculum designed for modern job roles
- Real-world machine learning projects
- Generative AI & LLM training
- Career-focused mentorship
- Resume and portfolio support
- Interview preparation for AI roles
Student Reviews & Outcomes
Real graduates, real results
Our graduates are now working at top tech companies
Sarah Chen
Software Engineer
Previous Role
Retail Manager
Salary Increase
+178%
Now at
“I went from retail to tech in just 6 months. Now earning 3x my previous salary!”
Michael Rodriguez
DevOps Engineer
Previous Role
IT Support
Salary Increase
+145%
Now at
Amazon
“Doubled my salary and now working at my dream company. Pragra made it happen!”
Priya Patel
Data Scientist
Previous Role
Financial Analyst
Salary Increase
+115%
Now at
Microsoft
“Transitioned from finance to data science. Best career move ever!”
So there's no reason it can't be you too.
They come from all different backgrounds, ages, and experiences. Many even started as complete beginners.
Machine Learning Certification
Complete the course to earn Pragra's machine learning certificate – proof of hands-on skills in Python, machine learning, deep learning, NLP, computer vision and model deployment that you can add to LinkedIn and your résumé. Online and in-person learners receive the same certificate.
Industry Recognition
Certificate recognized by top tech companies and hiring managers
Portfolio Ready
Add to your LinkedIn profile and resume to showcase your expertise
Lifetime Validity
Your certificate never expires and can be verified online
Exam Requirements: Complete all 10 modules, finish the 10 hands-on portfolio projects, and pass the final assessment with a score of 70% or higher.
Certificate of Completion
Pragra
This is to certify that the above named has successfully completed the course requirements
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Join Pragra and transform your career with hands-on AI training.
Frequently Asked Questions
An AI and machine learning course in bootcamp format is short, intensive, project-based training that teaches you to build machine learning models, rather than only studying the theory. Pragra's bootcamp covers Python, data analysis, supervised and unsupervised learning, deep learning, NLP, computer vision and model deployment across 10 modules. You finish with 10 portfolio projects and a certificate, learning live online or in person in Mississauga.
Yes. The course starts from the fundamentals. You don't need prior programming or machine learning experience, just basic computer skills and high-school math. Module 1 introduces AI and machine learning concepts, Module 2 covers the math you'll need, and Module 3 teaches Python for data science before you build your first model. Beginners should plan for regular practice outside class.
The course includes 60 hours of instruction plus project work. Your timeline depends on your background, the time you put in, and how strong your portfolio is. Our career support covers résumés, mock interviews and portfolio reviews to help close that gap.
Graduates typically apply for junior roles such as AI engineer, machine learning engineer, data scientist, data analyst, NLP engineer and MLOps engineer. Demand comes from sectors across Canada and the US, including finance, healthcare, retail, logistics and technology. Entry-level roles usually expect a portfolio of real projects, which is why the course is built around 10 of them. Read more: How to become a machine learning engineer in Canada.
Yes. Live online classes are open to learners anywhere in Canada and the US, and class times are scheduled in Eastern Time (ET). You attend instructor-led sessions, get mentor support and work on the same projects as in-person students. If you're in the Greater Toronto Area, you can also attend in-person classes at our Mississauga classroom. Both formats lead to the same certificate.