Designed for newcomers to Canada & career switchers
| 400 Reviews
Last Enrolment - 19th July, 2025
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Explore the basics of Artificial Intelligence AI is transforming our economy, media, industries, and society. Designed for beginners with no coding knowledge required, gain a straightforward introduction to the world of AI. You’ll demystify common AI buzzwords—machine learning, deep learning, generative AI, etc.—in a way that is easy to understand and apply.
We'll journey through AI's practical applications in daily life, discover how organizations can integrate AI, and discuss the societal impact arising from AI's relentless advancement. We’ll explore also tasks that AI can solve, from helping run traffic more smoothly to optimizing booking systems.
Dive into the world of AI and ML, covering key concepts, applications, and how these technologies are transforming industries.
Explore the essential mathematical concepts like linear algebra, calculus, and probability that power AI and ML algorithms.
Learn Python programming for AI and ML, focusing on libraries like NumPy, Pandas, and Matplotlib to process and analyze data.
Understand supervised learning algorithms like regression, classification, and support vector machines for making predictions from labeled data.
Learn about unsupervised learning techniques such as clustering and dimensionality reduction to analyze unlabeled data.
Get hands-on with deep learning concepts, neural networks, and how they mimic human brain functions to solve complex problems.
Learn how to evaluate and fine-tune machine learning models for better performance, using techniques like cross-validation and hyperparameter optimization.
Explore the fundamentals of NLP and how AI can process, analyze, and understand human language.
Learn the basics of computer vision, including image classification, object detection, and image generation using AI algorithms.
Understand how AI and ML are applied in various industries such as healthcare, finance, and autonomous driving.
Gain experience in deploying machine learning models into production using cloud platforms and frameworks like TensorFlow and PyTorch.
Dive into the world of AI and ML, covering key concepts, applications, and how these technologies are transforming industries.
Explore the essential mathematical concepts like linear algebra, calculus, and probability that power AI and ML algorithms.
Learn Python programming for AI and ML, focusing on libraries like NumPy, Pandas, and Matplotlib to process and analyze data.
Understand supervised learning algorithms like regression, classification, and support vector machines for making predictions from labeled data.
Learn about unsupervised learning techniques such as clustering and dimensionality reduction to analyze unlabeled data.
Get hands-on with deep learning concepts, neural networks, and how they mimic human brain functions to solve complex problems.
Learn how to evaluate and fine-tune machine learning models for better performance, using techniques like cross-validation and hyperparameter optimization.
Explore the fundamentals of NLP and how AI can process, analyze, and understand human language.
Learn the basics of computer vision, including image classification, object detection, and image generation using AI algorithms.
Understand how AI and ML are applied in various industries such as healthcare, finance, and autonomous driving.
Gain experience in deploying machine learning models into production using cloud platforms and frameworks like TensorFlow and PyTorch.
During this tough time, you may face some financial hardship. We are here to help , we have various financial assistance available to cover tuition and other eligible expenses during the learning process.
Limited number of scholarships are available for eligible students, please contact the program coordinator for details.
Pragra Loans For eligible students, loans could cover 70% of fee. Repayment starts as a candidate starts the job or 6 months after the completion, whichever is earlier.
Windmill Microlending offers affordable loans up to $15,000 to help skilled immigrants cover the costs of training, education and licensing requirements needed to launch their careers in Canada.
Connect with leaders and hear directly from experts.
Pragra’s coding bootcamps students benefit from an industry-leading network of hiring partners, featuring over 7,000 innovative partners looking to hire emerging talent.
Based on 400 reviews
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Pragya
1 week ago
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Prachi
1 week ago
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Javed
1 week ago
In this bootcamp, you will learn the fundamentals of AI and ML, including supervised and unsupervised learning, deep learning, natural language processing, and model deployment. You'll also gain hands-on experience building and optimizing machine learning models.
No, prior experience is not required. This bootcamp is designed for both beginners and those with some experience in programming or data science. You'll start with foundational concepts and gradually progress to advanced topics.
Python is the primary language used in this course due to its extensive libraries and support in the AI/ML ecosystem. Basic knowledge of Python will be helpful, but we’ll cover everything you need to know to get started.
Yes! This bootcamp includes practical, hands-on projects where you'll build, train, and deploy AI models using real-world datasets. You'll also participate in simulated challenges to apply your skills.
Yes, we offer job placement support. Upon completion of the course, you'll receive guidance on building your resume, preparing for interviews, and connecting with industry partners looking for AI & ML talent.
You will work with industry-standard tools and frameworks such as TensorFlow, PyTorch, Scikit-Learn, and Keras for building and training models, along with cloud platforms like AWS or Google Cloud for deploying models.
The bootcamp typically lasts for [X weeks/months], depending on the full-time or part-time format. It includes live sessions, hands-on projects, and mentorship from AI experts.
I authorise Pragra to contact me with course updates & offers via Email/SMS/Whatsapp/Call. I have read and agree to Privacy Policy & Terms of use
Book a consultation today and explore how Pragra can help you transition into a stable, in-demand career.
I authorise Pragra to contact me with course updates & offers via Email/SMS/Whatsapp/Call. I have read and agree to Privacy Policy & Terms of use
I authorise Pragra to contact me with course updates & offers via Email/SMS/Whatsapp/Call. I have read and agree to Privacy Policy & Terms of use
I authorise Pragra to contact me with course updates & offers via Email/SMS/Whatsapp/Call. I have read and agree to Privacy Policy & Terms of use
I authorise Pragra to contact me with course updates & offers via Email/SMS/Whatsapp/Call. I have read and agree to Privacy Policy & Terms of use
I authorise Pragra to contact me with course updates & offers via Email/SMS/Whatsapp/Call. I have read and agree to Privacy Policy & Terms of use
