Unlock the value of data and ultimately transform business models, industries, and work experiences. As an authorized learning partner of AWS, Google, and Microsoft, we offer each vendor's official data science, artificial intelligence (AI), and machine learning (ML) training curriculum.
DurationUnlock the value of data and ultimately transform business models, industries, and work experiences. As an authorized learning partner of AWS, Google, and Microsoft, we offer each vendor's official data science, artificial intelligence (AI), and machine learning (ML) training curriculum.
We have deep experience delivering enterprise skills and corporate academies to all industries across all roles. Our portfolio features industry-leading education, programs, and services. We can help you design and deploy data-driven products that add real value to users and achieve measurable business outcomes.
The Fast Lane Group operates globally, across 60+ countries, in the delivery of technology, business, and sales training. We also provide a comprehensive consulting service in cloud, cybersecurity, digital transformation, and mobility.
Fast Lane is an authorized training partner of AWS, Aruba, Cisco, Fortinet, Gigamon, Google Cloud, KnowBe4, ISC2, Microsoft, Palo Alto, Splunk, and other leading vendors.
As a result, we can boast a large pool of subject matter experts to assist with helping organizations achieve their digital transformational goals, whatever they might be. Fast Lane also offers its own training programs around the latest technology trends.
This program will enable students to further their education in computer science by specializing in problem-solving and data management in an artificial intelligence environment, particularly in machine learning.
Taking ML models from conceptualization to production is typically complex and time-consuming. You have to manage large amounts of data to train the model, choose the best algorithm for training it, manage the compute capacity while training it.
You will discover how to differentiate offline and online training and predictions, automated machine learning, and how the cloud environment affects machine learning functions. Additionally, you will explore some of the most significant areas in the field of machine learning research.
The course starts with an overview of Azure services that support data science. From there, it focuses on using Azure's premier data science service, the Azure Machine Learning service, to automate the data science pipeline.
Learn how to use notebooks and scripts to train machine learning models and use Azure Machine Learning services to assess data, manage compute, track training models, implement Responsible AI principles, and deploy models to endpoints.
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