Technical Learning
Dive into the foundations of applied machine learning (ML), decision trees, data cleaning, K-NN, regression and more.
Dive into the foundations of applied machine learning (ML), decision trees, data cleaning, K-NN, regression and more.
Learn techniques you can apply in game development, customer interaction, recommender systems, and across industries like health, finance, oil & gas and supply chain.
Modern businesses recognize the transformative power of AI but are also facing a severe shortage of skilled workers. The demand for AI and ML expertise is growing across all industries. Through the marriage of your domain expertise with technical ML skills, companies can gain competitive advantages.
We take a project-based and blended learning approach to training with lectures, programming labs and group work. Many of our technical training opportunities include capstone projects that conclude with feedback from a panel of experts and referrals for internships, apprenticeships and ML lead roles.
Gain technical skills and understanding at all stages of AI adoption.
Brainstorm ideas, learn foundational skills, understand use cases, and experience integrating and cleaning various data sources.
Learn data collection and cleaning, and how to prep data for ML.
Prepare for a proof-of-concept project, including implementing a chosen algorithm, testing for performance, and troubleshooting and optimizing the model.
Explore ethics, and gain insight into the translation of a business problem into an ML question.
Learn how to deploy an ML model, integrate it with legacy systems and establish an ML data pipeline.
Gain a deep understanding of the particular issues around ML at this stage of industry adoption.
Watch for and troubleshoot unexpected effects from a deployed ML system.
Gain experience with specific technical platforms and apply a broad range of ML models and techniques.
Learn how to translate academic research into applied commercial systems.
Foster an ability to work as part of an interdisciplinary team to advance targeted research and business objectives.
The AI Adoption Spectrum is foundational to our work. Learn more about how we work, and the role we can play in your personal AI adoption journey.
Certification
Modern businesses recognize the transformative power of artificial intelligence (AI) but are also facing a severe shortage of skilled workers. The demand for AI and machine learning (ML) expertise is growing across all industries. Through the marriage of domain expertise, a key understanding of the science of machine learning and foundational technical skills, companies can gain their competitive advantage.
Be part of that advantage. Our next ML Technician Certificate course runs September 21 to November 18, 2021.
Sep 22nd 2021
News
On August 13, Tony M. Yousefnezhad presented “Shared Space Transfer Learning for analyzing multi-site fMRI data".
Sep 15th 2021
News
Video games have long been a domain explored by AI researchers, and researchers from Amii have a rich history producing advancements that can help across all aspects of game design, development and delivery.
Sep 13th 2021
News
On August 6, Daniel Haight (Darkhorse Analytics) presented “Edible AI - Building Effective and Accessible Models with Data Wrangling and Visualization".
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